SFC Smart Money Manipulation - Time, Advanced Market StructureThis indicator shows the market structure in more advanced way and different time cycles.
Markets moves in cycles and swings. The indicator will help to determine these cycles and swings by time and price. These are the two columns of the market understanding. The third one is volume/ momentum, but it will not be discussed here.
Advanced Market Structure
According to ICT and Larry Williams Market Structure is not only Highs and Lows.
They present more advanced understanding of the MS:
-Short Term Highs/ Lows
-Intermediate Term Highs/ Lows
-Long Term Highs/ Lows
Rules of how to determine the Swing Points according to Larry Williams:
"A market has made a short-term low when we have a day (or bar if you are using different time periods) that has a higher low on both sides. By the same token a short-term high will be a day (or bar) that has lower bars on both sides of it."
"A short-term high with lower short-term highs on both sides is an intermediate- term high. By the same token, a short-term low with higher short-term lows on both sides is an intermediate-term low."
"An intermediate-term high with lower intermediate-term highs on both sides of it is just naturally a long-term high by our definition, thanks to understanding market structure.
An intermediate-term low with higher intermediate-term lows on both sides of it is just naturally a long-term low by our definition, thanks to understanding market structure."
If the Highs and Lows are labeled properly there is high probability to predict the next High or Low. In this way the trader will know how the current trend is changing and what kind of retracement is coming - deep or shallow.
Timing
Market moves in time cycles.
There is a theory that the swings are equal by time and length. This is not always the case, but very very often.
Indicator time features:
- Swing Trading days - how many time market needed to form a swing. Only Long term(main) Swings are measured. This will help trader to label T-formations.
" T Formations is cyclically related for formations that can be drawn to project the time frame of likely turning points. Basically T-formations are based on the concept that the time distance between the starting low/high of the cyclical wave and its peak is likely to be subsequently repeated between that peak and the final low/high of that cycle."
- Seasonality - theoretically an asset should go up or down in particular yearly quarter. Practically the direction not always match to quarters. Thats why the indicator shows the theoretical seasonal direction and historical real direction.
Seasonal direction is automatically displayed or XAUUSD, XAGUSD, EURUSD, AUDUSD, GBPUSD. There is a ways to set the seasonality manually.
- Earnings Season - This time is very important for Stocks and Indices. Most of the time the assets are in bullish trend during the Earnings Seasons.
- Monthly separator - Shows the monthly time cycle
- Gold bullish months - There are studies on Gold market. They shows that Gold is very bullish in particular months. These are displayed.
The indicator works only on Daily Time Frame.
스크립트에서 "high low"에 대해 찾기
Forex Master Pattern Contraction Finder by nnamThis script is for use with the FOREX Master Pattern to assist the user with drawing in True Value areas.
The script uses a combination of LOWER HIGHS and HIGHER LOWS to pinpoint areas of potential contraction and marks them with an X.
Using these X symbols as visual guidance, the user can easily locate areas of contraction or "tightening" of the price as it comes out of the expansion phase.
In addition, the daily highs and lows create a visible red or green box (depending on price in relation to the previous days close). These boxes also assist the user in determining the average price for the day and whether or not the price is contracting. A WIDE box is indicative of an expansion phase or widening in price swings and a "skinny" box is indicative of a tightening in price swings .
A combination of both plotted X contraction signals and a tightening box are highly indicative of a contraction phase. These contraction phases appear early in the beginning stage of the FOREX MASTER PATTERN giving the user ample time to plan trades and spot breakouts from the contraction into expansion.
The Image above shows a prime example of a potential contraction in price on the ETH/USDT 1 hour chart.
A series of highs and lows shows an expansion. The indicator settings allow the user to turn ON a visual text label showing each higher high, lower high, higher low and lower low in any combination.
Lower High and Higher low is ON by default and is represented by BOTH an X and the initials LH above bar and HL below bar for easier identification of the actual bar that triggered the signal.
In the absence of an X signal or initials LH + HL the contraction is not confirmed. As you can see in the screenshot below, the boxes alone are not indicative of a contraction and can be false positives. It is important to wait for both.
INPUTS AND SETTINGS
To make the indicator more user friendly, I have added several on off buttons for certain attributes. Many are OFF by default for a clean look when firs t starting the indicator. Below is a list of settings and what they are.
Contraction Settings
- Show potential contractions on chart?
on by default - shows the Lower Highs and Lower Lows with an X sumbol
Moving Average Settings
Exponential Moving Average Length
default is 50EMA but can be changed
- Show Moving Average on chart?
off by default and must be checked to add the ema
RSI Settings
- Show RSI Overbought and Oversold?
off by default
Users can turn this on and use in conjunction with higher high and lower high to spot potential reversals
RSI Source - default is CLOSE
RSI Length - default is 6
RSI Overbought Level - default is 85
RSI Oversold Level - default is 15
Chart Type Settings
- Use Renko Style Pivots?
Allows Renko to be used (open/close for high/low)
off by default
LOWER HIGHS AND LOWER LOWS (VIEW BULLISH TRENDS)
Show higher highs?
Show Higher Lows?
These can be turned on or off depending on your preference for trend spotting.
LOWER HIGHS AND LOWER LOWS (VIEW BEARISH TRENDS)
Show Lower Highs?
Show Lower Lows?
These can be turned on or off depending on your preference for trend spotting.
BUY AND SELL SIGNALS SETTINGS
(these are experimental)
- Show Potential BUY signals on chart?
- Show Potential SELL signals on chart?
These 'experimental signals' combine overbought RSI with Higher Highs and Oversold RSI with Lower Lows to signal a potential turn in price.
During major corrections you may get several BUY signals in a row as the price plummets and during FOMO bull runs, you may get several SELL signals in a row.
To help minimize this, you can turn ON the Renko option listed above and change the RSI to a higher number.
The signals work best using Heikin Ashi and on 1 hour time frames.
In order for a trigger to occur, the script ensures there are several RSI overbought and oversold signals in a row.
RSI and Higher High, Lower Low options do not have to be turned on to get the signals.
BOX Settings
You can change the border width and color of the boxes.
You may also JOIN the boxes if you want to.
I really hope you enjoy this indicator and I hope it brings you good luck in your trading.
Don't forget to follow so you are notified when I upload any new indicators.
nnamdert
Price Action All In One IndicatorIf you are the one who is "Price Action" style & does not want to use many indicators or complex indicators or you are an ICT (The Inner Circle Trader)
student or ICT charter, this simple beautiful All In One Indicator is right for you.
The indicator has the following functions.
TIME ZONE SETTING
The default timezone is New York Time GMT-4, if you leave the time zone setting blank, it will use the symbol timezone. Note that the trading time changes with one hour delay in winter. so if you just trade forex, and leave the time zone setting blank, TradingView will adjust the symbol timezone automatically for you or don't forget to change the timezone setting GMT-4 or GMT-5 depending on daylight saving time.
STATISTIC PANEL
You can choose which panel to show through settings.
Session Info Panel : pips info of ADR, Asian, London, and New York sessions.
Trend Panel : showing trend (up/down) of
5m/15m/1h/4h/D/W time frames (TF)
4MA (default values: SMA with lengths: 20–50–100–200)
Money Management Panel : in trading, money management is very important. Just put the % risk, & stop loss value below, the indicator will calculate a suitable size/amount for each trade.
Size by Lots: input stop loss in pips
Size by Units: input stop loss in % (of price)
(*)Units size is calculated by % stop loss & current bar close price. You have to determine a stop-loss price to convert to % stop loss by yourself.
TIME SEPARATORS
We can choose which time separators we want to display. The indicator has 5 options: Anchor Time/Day/Week/Month/Quarter. Of course, we can choose to show just one or all 5 of them.
With Anchor Time you can choose which time you want to draw a vertical line for better timing analysis. This can show up to 2 Anchor Time lines. The default values are 00:00 (New York Midnight Opening) and 08:30 (New York Session Opening). You also have an option to show the past lines or not.
About Day Separator, cause TradingView has supported Session Breaks in Setting but if you don't like to use it or when enabling, it distracts you, you can use mine. My favorite trading dates are Tuesday & Wednesday.
PRICE LEVELS
For intraday trading, the high/low/close of the previous day, the previous week, ADR (default period is 5) are very important key levels. You can choose which one you like to show for better analysis. Of course, you can change the color & style of the lines. This is also my favorite indicator.
This indicator also has an option to show up to 2 price lines at a specific time, you can choose the price type (high/low/close/open) that you want to display. The default time values are:
Specific Time 1: 0:00. (New York Midnight Opening Price)
Specific Time 2: 8:30 am. (New York Session Opening Price)
ACCUMULATION ZONE
The market tends to reprice the higher/lower to the old high/low or imbalance/fair value price to promote buy/sell stops or to provide smart money pricing for long/short entries. Typically, it redistributes quickly and you must learn to anticipate them at key levels intraday. Weak short/long holders will be squeezed in the retracement.
Except for the open price, the price changes continuously until the closing time, so the accumulation area can also be changed in real-time, but if you combine it with other information when analyzing, you can predict/determine whether the zone has been established or not with high probability. In short, price needs time to be accumulated, I usually don't pay attention to this daily zone till London open/close or New York sessions
Not only daily zone, but the indicator also supports higher timeframes accumulation zone from
SESSION & STD
There are 3 sessions: Asian, London, New York. The default values are below (New York Time).
Asian: 19:00 ~ 00:00
London Open (London KillZone): 01:00 ~ 05:00
New York Open (New York KillZone): 07:00 ~ 10:00
If you do not want to show the label, just leave the label values blank or change them to whatever you want.
This is one of my favorite functions. I use it on 15m, 30m, 1h TF for Forex intraday trading. My favorite trading sessions are London Open & New York Open.
You also can choose to show or not Standard Deviations (STD). The default values are set for Asian Range STD and max STD levels can be shown are 5. I use the following 3 types of STD (New York Time):
CBDR (Central Bank Deviations) STD: 14:00 ~ 20:00
Flout STD: 15:00 ~00:00
Asian Range STD: 19:00 ~ 00:00
LOOKBACK HIGH/LOW/MID
Can show high/low/mid of the data ranges on the daily/4h chart. The default values are:
- 20–40–60 days back from today for daily TF.
- 30–60–90 bars back from the latest bar for 4h TF.
The default anchor bar for calculating the lookback is the latest one but with:
- 4h TF: we can change the lookback from the 1st day of the week.
- Daily TF: we can change the lookback from the 1st day of the month.
The indicator also has options showing the high/low/mid (equilibrium level) lines for better analysis. Especially, on daily TF, we have the option that can show up to 4 lines (25% for each one) of the data range.
Of course, you can change the colors or the style of the high/low/mid lines.
The lookback can be shown on the lower TFs for better detection when the market structure is shifted.
MAGIC BARS
Fractal bar : The bar's color is changed when the divergence occurs between the price & RSI. You can change the RSI period (default value is 14) & RSI source. (open/high/low/close,…)
Imbalance bar or liquidity void or fair value gap - whatever you call it. This is my favorite indicator when trading on all TFs.You can choose to extend the last n imbalance bars if you like in the settings. I make sure I covered all cases of imbalance/fair value gap.
OLD HIGH/LOW
First, this function is not used as the common Support & Resistance that retail traders usually use, so I call it Old High/Low. I usually use it in 2 ways:
Detect the next buy/sell stops that Market Makers aim to manipulate.
Detect whether market structure shifted or not (Break of structure)
In settings you can:
Set the period to detect high/low levels, the default value is 10. My other favorite values are 6 & 2.
On a lower time frame, you might want to set it to a large number to remove noise.
On a higher time frame, a small number is enough, I think.
Choose the numbers of the last lines you want to show on your chart.
Of course, the style of lines can be changed easily.
TRENDLINES
A very simple trendline with default pivot left strength is 10.
By default, trendline uses high/low price but you have the "Using close price" option.
LINEAR REGRESSION CHANNEL
The Linear Regression Channel is a three-line technical indicator used to analyze the upper and lower limits of an existing trend. It is a statistical tool used to predict the future from past data and is used to determine trend direction or when prices may be overextended.
You can choose
To fill the background or not
To show inner/outer lines or not
To change the colors/line styles of upper zone, lower zone, upper lines, lower lines, midline
DIRECTION BOX
Working on all TFs, this looks like the same with lookback function but if you would like to display them in a box for easily focusing/comparing with other symbols or for detecting divergence in a specific period. The indicator also has a setting to show or hide lines connecting between lows or highs.
Another example of how I use High/Low connecting lines to detect divergence between S&P 500 and NASDAQ 100.
ZIG ZAG
Can show up to 2 ZigZag lines.
This is suitable for traders who have difficulty in detecting key levels (recent high/low) of the prices to confirm market structure or just for drawing Fibonacci easily at those levels.
MA (Moving Average)
I believe that this is one of the most used indicators for every trader. There are 5 types of MA to choose from: EMA, SMA, WMA, VWMA, SMMA(RMA).
This can show up to 4 MAs. You can choose the source (close/high/low,…) for each one. My favorite values are 34 & 89 EMA.
This indicator also supports MA Bands. You can select which MA you want to display the bands, and the "width" of the bands can be changed via the settings.
WATERMARK
It's just a simple function but I think it's very useful for those who want to add Copyright info to the chart, to prevent others from copying it.
Others/known issues/limitations
In forex or stock (things that are traded only on weekdays), TradingView's does not include the latest bars till Monday so the Day Separator cannot fill that space. Because TradingView deals with those bars as Sunday's ones so I set the color of Sunday the same as Friday for good UI/UX. On Crypto charts, the indicator shows without problems.
If you see "Internal server study error", please try closing the current TradingView tab in your browser and reopening it in a new tab. The error will disappear.
Because TradingView does not provide any detailed error information when such "general error" occurs. It's very difficult to detect which function is causing this error or is there something that caused TradingView "overloaded" through a long time running/loading on that tab? Honestly, I don't know exactly the cause, but in my experience, this error often occurs in the following cases:
When you have the TradingView Tab open for hours. In my case, I usually leave TradingView tab open overnight & when I come back the next day, this error might appear. (I'm a Mac user & I almost never shut down my Mac)
When you change settings too many times, especially settings of drawing objects like line width in a using session, it might cause this error.
So, after changing the setting or when you come back for the next trade, please save & close that TradingView tab, and then open a new one, everything will work fine.
You can see the images below that show I have tested my indicator from 1-minute time frame, enabled all functions, change every setting to max values & everything still works fine.
TRADING MADE SIMPLEThis indicator shows market structure. The standard method of using Williams Highs and Lows as pivots, is something of an approximation.
What's original here is that we follow rules to confirm Local Highs and Local Lows, and strictly enforce that a Low can only follow a confirmed High and vice-versa.
-- Highs and Lows
To confirm a candle as a Local High, you need a later candle to Close below its Low. To confirm a Local Low, you need a Close above its High.
A Low can only follow a High (after it's been confirmed). You can't go e.g High, High, Low, Low, only High, Low, High, Low.
When price makes Higher Highs and Higher Lows, market structure is said to be bullish. When price makes Lower Lows and Lower Highs, it's bearish.
I've defined the in-between Highs and Lows as "Ranging", meaning, neutral. They could be trend continuation or reversal.
-- Bullish/Bearish Breaks
A Bullish break in market structure is when the Close of the current candle goes higher than the previous confirmed Local High.
A Bearish Break is when the Close of the current candle goes lower than the most recent confirmed Local Low.
I chose to use Close rather than High to reduce edge case weirdness. The breaking candle often ends up being a big one, thus the close of that candle can be a poor entry.
You can get live warnings by setting the alert to Options: Only Once, because during a candle, the current price is taken as the Close.
Breaks are like early warnings of a change in market bias, because you're not waiting for a High or Low to be formed and confirmed.
Buy The Dip / Sell The Rally
Buy The Dip is a label I gave to the first Higher Low in a bullish market structure. Sell The Rally is the first Lower High in a bearish market structure.
These *might* be good buying/selling opportunities, but you still need to do your own analysis to confirm that.
== USAGE ==
The point of knowing market structure is so you don't make bullish bets in a bearish market and vice versa -
or if you do at least you're aware that that's what you're doing, and hopefully have some overwhelmingly good reason to do so.
These are not signals to be traded on their own. You still need a trade thesis. Use with support & resistance and your other favourite indicators.
Works on any market on any timeframe. Be aware that market structure will be different on different timeframes.
IMPORTANT: If you're not seeing what you expect, check your settings and re-read this entire description carefully. Confirming Highs and Lows can get deceptively complex.
Comprehensive Market AnalyzerVERSION 2.0:
Notice to users: To better reflect its extensive features, this indicator has been renamed from "Tsūrubokkusu (Toolbox) 🧰" to "Comprehensive Market Analyzer". Thank you for your understanding and adaptation to this change.
Purpose and Usage:
The Comprehensive Market Analyzer is designed to provide traders with a holistic view of market conditions by integrating various technical indicators into a single,
cohesive tool. Each indicator has been carefully selected and improved to work together, offering enhanced customization and advanced market insights.
This combination allows for more comprehensive market analysis, improved decision-making, and efficient trading strategies.
📘 Machine Learning Integration
Purpose : Utilizes machine learning algorithms to analyze past market data and provides predictive insights based on historical data.
Usage : Activate machine learning features, set lookback windows, influence weighting, and start bar for improved trend predictions.
Activate Machine Learning :
Description : Enables advanced machine learning features that analyze past market data.
Details : This feature allows the algorithm to use historical data to forecast market movements, providing traders with enhanced predictive insights on historical data.
Kernel Lookback Window :
Description : Sets the number of previous bars that the algorithm will analyze.
Details : A higher number provides a broader view of market trends, while a lower number makes the model more sensitive to recent changes.
Kernel Influence Weighting :
Description : Adjusts the emphasis on recent versus older data.
Details : Increasing this value gives more importance to recent data, potentially making predictions more responsive to new trends.
Kernel Calculation Start Bar :
Description : Specifies the bar number from which to start the machine learning calculations.
Details : Avoids early data which may contain excessive noise and less reliable market signals.
Kernel Functions :
Gaussian Kernel :
Description : Uses a Gaussian distribution to weight historical data, focusing on more recent data points for trend analysis.
Details : Calculates weights based on the Gaussian distribution, emphasizing data points closer to the present.
Laplacian Kernel :
Description : Applies Laplacian distribution, emphasizing data points closer to the current time more heavily.
Details : Uses the Laplacian function to provide a different perspective on data weighting.
RBF Kernel :
Description : Utilizes a Radial Basis Function for smoothing and analyzing data, providing a different approach to trend prediction.
Details : Applies the RBF function to smooth data and enhance the accuracy of trend predictions.
Wavelet Kernel :
Description : Applies wavelet transform for analyzing frequency components, helping to detect patterns in the price movements.
Details : Uses wavelet-based calculations to focus on specific frequency components within the data, aiding in pattern recognition.
📘 Enhanced Ichimoku Kinkō Hyō Integration
Purpose : Provides a comprehensive overview of market trends and momentum using the Ichimoku Kinkō Hyō indicator.
Usage : Display various components of the Ichimoku Kinkō Hyō, customize their appearance, provides additional calculations for trend analysis.
Display Ichimoku Kinkō Hyō :
Description : Toggle to show or hide the Ichimoku Kinkō hyō indicator.
Details : This indicator helps traders see support and resistance levels, trend direction, and potential future movements.
Activate Heikin-Ashi Source :
Description : Switches between regular price data and Heikin-Ashi candles for analysis.
Details : Heikin-Ashi candles smooth price data, making trends easier to spot.
Display Tenkan-Sen Line :
Description : Shows the Tenkan-Sen line, a key short-term trend indicator.
Color Customization : Set the color of the Tenkan-Sen line for better visibility.
Minimum Length : Determine the shortest period for calculating the Tenkan-Sen line.
Maximum Length : Determine the longest period for calculating the Tenkan-Sen line.
Dynamic Length Adjustment : Automatically adjusts the length of the Tenkan-Sen based on market conditions.
Display Kijun-Sen Line :
Description : Shows the Kijun-Sen line, a key medium-term trend indicator.
Color Customization : Set the color of the Kijun-Sen line for better visibility.
Minimum Length : Determine the shortest period for calculating the Kijun-Sen line.
Maximum Length : Determine the longest period for calculating the Kijun-Sen line.
Dynamic Length Adjustment : Automatically adjusts the length of the Kijun-Sen based on market conditions.
Kijun-Sen Divider Tool : Adjust the sensitivity of the Kijun-Sen calculation.
Display Chikou Span :
Description : Shows the Chikou Span, which lags behind the current price to help confirm trends.
Bear Phase Color : Set the color for bearish periods.
Bull Phase Color : Set the color for bullish periods.
Consolidation Color : Set the color for consolidation periods.
Minimum Length : Determine the shortest lag period for the Chikou Span.
Maximum Length : Determine the longest lag period for the Chikou Span.
Dynamic Length Adjustment : Automatically adjusts the length of the Chikou Span based on market conditions.
Display Senkou Span A and B :
Description : Shows the Senkou Span A and B, which form the Ichimoku Cloud indicating future support and resistance levels.
Bear Color : Set the color for bearish clouds.
Bull Color : Set the color for bullish clouds.
Neutral Color : Set the color for neutral periods.
Minimum Length : Determine the shortest period for calculating the Senkou Span.
Maximum Length : Determine the longest period for calculating the Senkou Span.
Dynamic Length Adjustment : Automatically adjusts the length of the Senkou Span based on market conditions.
Projection Offset : Set how far ahead the Senkou Span is projected.
Kumo Cloud Settings :
Enable Kumo Cloud Fill : Toggle to fill the space between Senkou Span A and B with color.
Cloud Fill Transparency : Adjust the transparency of the cloud fill.
Apply WMA Smoothing :
Description : Smooths the indicator lines using a Weighted Moving Average to clarify trends.
Bar Coloring Based on Ichimoku Signals :
Description : Colors the bars based on Ichimoku signals to provide a quick visual indication of market sentiment.
Bearish Signal Bar Color : Set the color for bars during bearish signals.
Bullish Signal Bar Color : Set the color for bars during bullish signals.
Consolidation Signal Bar Color : Set the color for bars during consolidation periods.
Neutral Bar Color : Set the color for bars during neutral conditions.
Enhanced Calculations :
Heikin Ashi Values : Smooths price movements to make trends more visible.
Alternative Source Calculation : Uses a different method for calculating the indicator based on user settings.
Volume Calculations : Enhanced functions for calculating volume based on different candlestick patterns.
Dynamic Length Adjustment : Automatically adjusts the length of Ichimoku components based on market volatility.
Gaussian Kernel Calculations : Uses advanced calculations for smoother and more accurate trend analysis.
Chikou Span Adaptation : Improved calculation for the Chikou Span using dynamic lengths and advanced methods.
Visual Enhancements : Adds color gradients to the Senkou Span and dynamic coloring for the Chikou Span to improve trend visibility.
Plotting Ichimoku Components :
Tenkan-Sen : Plots the Tenkan-Sen line with dynamic adjustments.
Kijun-Sen : Plots the Kijun-Sen line with dynamic adjustments.
Senkou Span A and B : Plots these lines with dynamic projections and advanced smoothing.
Chikou Span : Plots the Chikou Span with dynamic offsets and coloring.
📘 Enhanced Candlestick Patterns Integration
Purpose : Identifies and displays various candlestick patterns to help traders spot key market movements and potential reversals.
Usage : Toggle the display of patterns, select specific pattern types, and customize pattern labels for improved visual analysis.
Display Patterns :
Description : Toggle to enable or disable the display of all candlestick patterns.
Details : When enabled, all selected candlestick patterns will be displayed on the chart, aiding traders in identifying key market movements and potential reversals.
Select Pattern Type :
Description : Select the type of candlestick patterns to detect.
Details : Options include Bullish (indicating potential upward trends), Bearish (indicating potential downward trends), or Both.
Trend Filter Method :
Description : Select the method to filter trends.
Details : Options include True Range (based on price range), Fractals, Volume, Combined, or None (no filtering).
Pattern Label Colors :
Bullish Pattern Color : Choose the color for labeling Bullish patterns, indicating potential upward trends.
Bearish Pattern Color : Choose the color for labeling Bearish patterns, indicating potential downward trends.
Indecision Pattern Color : Choose the color for labeling Indecision patterns, indicating no clear trend direction.
Base Line and Patterns Display Options :
Show Base Line in Place of Labels : Toggle to display a base line instead of labels for detected patterns. This helps visualize the general trend.
Show Counterattack Lines : Toggle to display Counterattack Lines patterns, indicating potential reversal points.
Show Dark Cloud Cover : Toggle to display Dark Cloud Cover patterns, a bearish pattern suggesting a potential reversal from an uptrend to a downtrend.
Show Engulfing Patterns : Toggle to display Engulfing patterns. Bullish Engulfing patterns suggest a potential upward reversal, while Bearish Engulfing patterns suggest a potential downward reversal.
Show Hammer Patterns : Toggle to display Hammer patterns, a bullish pattern indicating a potential reversal from a downtrend to an uptrend.
Show Hanging Man Patterns : Toggle to display Hanging Man patterns, a bearish pattern indicating a potential reversal from an uptrend to a downtrend.
Show Harami Patterns : Toggle to display Harami patterns. Bullish Harami patterns suggest a potential upward reversal, while Bearish Harami patterns suggest a potential downward reversal.
Show In-Neck Patterns : Toggle to display In-Neck patterns, indicating a potential continuation of the current trend.
Show On-Neck Patterns : Toggle to display On-Neck patterns, indicating a potential continuation of the current trend.
Show Piercing Patterns : Toggle to display Piercing patterns, a bullish pattern suggesting a potential reversal from a downtrend to an uptrend.
Show Three Black Crows : Toggle to display Three Black Crows patterns, a bearish pattern suggesting a potential reversal from an uptrend to a downtrend.
Show Thrusting Patterns : Toggle to display Thrusting patterns, a bearish pattern suggesting a potential continuation of the downtrend.
Show Upside Gap Two Crows : Toggle to display Upside Gap Two Crows patterns, a bearish pattern suggesting a potential downward reversal after an upward gap.
Show Evening Star : Toggle to display Evening Star patterns, a bearish pattern suggesting a potential reversal from an uptrend to a downtrend.
Show Inverted Hammer : Toggle to display Inverted Hammer patterns, a bullish pattern suggesting a potential reversal from a downtrend to an uptrend.
Show Morning Star : Toggle to display Morning Star patterns, a bullish pattern suggesting a potential reversal from a downtrend to an uptrend.
Show Shooting Star : Toggle to display Shooting Star patterns, a bearish pattern suggesting a potential reversal from an uptrend to a downtrend.
Show Doji Patterns : Toggle to display Doji patterns, indicating market indecision and potential reversals.
Show Dragonfly Doji : Toggle to display Dragonfly Doji patterns, a bullish pattern suggesting a potential reversal from a downtrend to an uptrend.
Show Evening Doji Star : Toggle to display Evening Doji Star patterns, a bearish pattern suggesting a potential reversal from an uptrend to a downtrend.
Show Gravestone Doji : Toggle to display Gravestone Doji patterns, a bearish pattern suggesting a potential reversal from an uptrend to a downtrend.
Show Long-Legged Doji : Toggle to display Long-Legged Doji patterns, indicating high market indecision and potential reversals.
Show Morning Doji Star : Toggle to display Morning Doji Star patterns, a bullish pattern suggesting a potential reversal from a downtrend to an uptrend.
Show Rising Three Methods : Toggle to display Rising Three Methods patterns, a bullish pattern suggesting a continuation of the uptrend.
Show Falling Three Methods : Toggle to display Falling Three Methods patterns, a bearish pattern suggesting a continuation of the downtrend.
Show Tasuki Patterns : Toggle to display Tasuki patterns, indicating potential trend continuation after a gap.
Show Marubozo : Toggle to display Marubozo patterns, indicating strong trend continuation, either bullish or bearish.
Show Long Lower Shadow : Toggle to display Long Lower Shadow patterns, indicating strong buying pressure and potential upward movement.
Show Long Upper Shadow : Toggle to display Long Upper Shadow patterns, indicating strong selling pressure and potential downward movement.
Show Three Inside Up/Down : Toggle to display Three Inside Up/Down patterns, indicating potential bullish or bearish reversals.
Show Kicker Pattern : Toggle to display Kicker patterns, indicating significant potential reversals.
Show Tweezer Tops/Bottoms : Toggle to display Tweezer Tops/Bottoms patterns, indicating potential reversals at the tops or bottoms.
Show Mat Hold Pattern : Toggle to display Mat Hold patterns, a bullish pattern suggesting a continuation of the uptrend.
Candle Body/Shadow Comparison Options :
Candle Body/Shadow Comparison : Choose the criteria to compare candle sizes: Shadows (larger shadows), Body (larger body), Both (larger shadows and body), Either (larger shadows or body), or None (no comparison).
Look-back Period for Candle Comparison : Specify the number of periods to look back when comparing the current candle size to determine if it is significant.
Period for Body Length Average : Specify the period for calculating the average body length of candles to help identify significant patterns.
Period for Candle Length Average : Specify the period for calculating the average length of candles to help identify significant patterns.
Specific Pattern Thresholds :
Doji Body Percentage Threshold : Set the percentage threshold for identifying Doji patterns based on the candle body size compared to its range.
Upper Shadow Percentage Limit : Set the maximum allowed upper shadow percentage of the candle’s range for identifying specific Doji patterns.
Lower Shadow Percentage Limit : Set the maximum allowed lower shadow percentage of the candle’s range for identifying specific Doji patterns.
Price Deviation Tolerance : Specify the price deviation tolerance for pattern recognition, which helps in identifying patterns within a certain price range.
Thrusting Neck Percentage : Set the percentage threshold for identifying Thrusting Neck patterns, indicating a potential continuation of the current trend.
Base Line Settings :
Base Line EMA Length : Specify the length of the EMA for the Base Line, helping to visualize the general trend.
Enhanced Calculations :
Wavelet Transform : If machine learning is enabled, calculates the wavelet transform for smoother and more accurate pattern detection.
Candle Body and Shadows Calculation : Detailed calculations for candle body and shadow lengths to improve pattern detection.
Average Calculations : Calculate averages for body and candle sizes to help identify significant patterns.
Fractals Calculation : Identify fractal highs and lows to aid in trend detection.
Trend Filters : Apply user-selected trend filters based on True Range, Fractals, Volume, or a combination.
Pattern Detection and Labeling : Detects and labels various candlestick patterns, including Doji, Engulfing, Hammer, and more, with options for displaying labels or base lines.
Alerts and Notifications : Set alerts for detected patterns and base line colors to notify traders of significant market events.
Plotting Candlestick Patterns :
Pattern Detection : Automatically detects and labels various candlestick patterns based on user settings.
Label Customization : Customize the labels for different patterns, including color and text.
Base Line Plotting : Option to plot a base line instead of labels for detected patterns, enhancing trend visualization.
Alerts for Patterns : Set alerts for detected patterns to keep traders informed of significant market changes.
📘 Enhanced Fibonacci Retracement Integration
Purpose : Provides a tool for identifying potential support and resistance levels using Fibonacci retracement.
Usage : Toggle the display of Fibonacci levels, adjust the lookback period, and customize the appearance of Fibonacci levels for better market analysis.
Auto Mode :
Description : Toggle to enable or disable automatic detection of price points.
Details : When enabled, the highest and lowest price points within a specified period will be automatically detected to set Fibonacci levels. Disable to manually set the top and bottom prices.
Period :
Description : Set the lookback period for detecting price points.
Details : Defines the number of bars to look back when detecting the highest and lowest prices in Auto Mode, used for calculating Fibonacci levels.
Manual Top :
Description : Manually set the top price level.
Details : Adjust this setting to reflect the peak price of interest when Auto Mode is disabled.
Manual Bottom :
Description : Manually set the bottom price level.
Details : Adjust this setting to reflect the low price of interest when Auto Mode is disabled.
Display Fibonacci :
Description : Toggle to show or hide Fibonacci retracement levels.
Details : When enabled, the calculated Fibonacci levels will be displayed on the chart, overlaying the price data.
Baseline Levels :
Description : Select Fibonacci levels to highlight as baselines.
Details : Choose specific levels to be visually distinct, emphasizing their significance in the analysis.
Fibonacci Levels Colors :
Upper Levels Color : Set the color for Fibonacci levels above the baseline, indicating potential resistance levels.
Lower Levels Color : Set the color for Fibonacci levels below the baseline, indicating potential support levels.
Baseline Levels Color : Set the color for highlighted baseline Fibonacci levels, making them stand out from other levels.
Display Individual Fibonacci Levels :
Show Level : Toggle to enable or disable the display of specific Fibonacci levels.
Level Value : Set the multiplier used to calculate each specific Fibonacci level relative to the price range.
Reverse Levels :
Description : Toggle to switch the calculation direction of Fibonacci levels.
Details : When enabled, levels are calculated in reverse, useful for analyzing downtrends.
Line Extension :
Description : Choose how Fibonacci level lines are extended on the chart.
Details : Options include extending lines to the left, right, or both, affecting their visual presentation.
Text Size :
Description : Adjust the font size of the labels for Fibonacci levels.
Details : Options range from large to tiny, allowing for readability adjustments according to user preference.
Line Style :
Description : Select the line style for Fibonacci levels.
Details : Options include solid, dotted, and dashed, providing visual distinction.
Line Width :
Description : Set the thickness of the Fibonacci level lines.
Details : A higher value makes the lines more prominent on the chart.
Baseline Line Style :
Description : Choose the line style specifically for the baseline levels.
Details : This can differ from other Fibonacci levels to emphasize their importance.
Baseline Line Width :
Description : Adjust the thickness of the baseline level lines.
Details : Can be set differently from other levels for visual emphasis.
Enhanced Calculations :
Automatic and Manual Top/Bottom Setup : Detect or manually set the highest and lowest price points.
Price Range Calculation : Determine the range between the highest and lowest prices.
Fibonacci Level Values : Calculate the values for each Fibonacci level.
Visual and Label Configuration : Configure visual aspects and labels for each level.
Plotting and Labeling :
Level Plotting :
Description : Plot each Fibonacci level on the chart.
Details : Draw lines representing each calculated level.
Label Customization :
Description : Customize the labels for Fibonacci levels.
Details : Include text, colors, and positioning for clarity.
📘 Supports and Resistances Integration
Purpose : Identifies key support and resistance levels to aid in market analysis.
Usage : Toggle the display of support and resistance lines, customize their appearance, and use Bollinger Bands for additional insights.
Display Supports and Resistances :
Description : Toggle to enable or disable the display of support and resistance lines.
Details : When enabled, support and resistance lines will be shown on the chart, providing key levels for market analysis.
Swing Period :
Description : Set the retrospective period for identifying swing points.
Details : A longer period captures more significant trends but may reduce sensitivity. The default value is 10.
Support Line Color :
Description : Set the color for support lines.
Details : Choose a color that enhances chart readability. Default is green.
Resistance Line Color :
Description : Set the color for resistance lines.
Details : Choose a color that makes resistance lines easily distinguishable. Default is red.
Trend-Based Line Color :
Description : Toggle to enable dynamic coloring based on trend direction.
Details : When enabled, the color of the lines will change according to the trend, aiding visual analysis.
Line Thickness :
Description : Adjust the thickness of the support and resistance lines.
Details : Choose a thickness value between 1 and 5 for better visibility.
Line Style :
Description : Select the style of the lines.
Details : Options include Solid, Dotted, or Dashed lines for visual distinction.
Number of Lines to Display :
Description : Set the maximum number of support/resistance lines to display.
Details : Adjust the number of lines to avoid clutter or to show more levels.
Display Bollinger Bands :
Description : Toggle to show or hide Bollinger Bands on the chart.
Details : Bollinger Bands provide a visual representation of volatility and potential price ranges.
Bollinger Bands Integration :
Description : Enable the integration of Bollinger Bands for S/R calculation.
Details : This feature adjusts the placement of S/R lines based on the market volatility captured by the Bollinger Bands.
Bollinger Bands Color Settings :
Description : Set colors for different Bollinger Band conditions.
Details :
Green: Prices above the median but below the upper band (potential overbought area).
Dark green: Prices above the upper band (strong upward momentum).
Light red: Prices below the median but above the lower band (potential oversold area).
Dark red: Prices below the lower band (strong downward momentum).
Fill Opacity Adjustment :
Description : Adjust the fill opacity between Bollinger Bands.
Details : Set the opacity level to balance visibility with other chart elements.
BB Sensitivity Level :
Description : Adjust the sensitivity for determining S/R levels near Bollinger Bands.
Details : A higher value increases the consideration of levels near the bands.
Band Width Multiplier :
Description : Control the width of the Bollinger Bands.
Details : Adjust the multiplier to expand or contract the bands based on market volatility.
Uniform BB Coloring :
Description : Apply a consistent color to Bollinger Bands.
Details : Simplify visual interpretation with a uniform color.
Plotting and Alerts :
Plotting Bollinger Bands :
Description : Plot the Bollinger Bands on the chart.
Details : The bands are colored based on the conditions set for market volatility and price ranges.
Alerts and Notifications :
Description : Set alerts for support/resistance breaks and Bollinger Band breakouts.
Details : Notify traders of significant market events related to these levels.
📘 Enhanced Trend Lines Integration
Purpose : Identifies and plots trend lines based on market structure to help traders understand market direction and potential buy/sell points.
Usage : Toggle the display of trend lines, customize their appearance, and use enhanced calculations for trend analysis.
Display Trend Lines :
Description : Enable or disable the display of trend lines on the chart.
Details : These trend lines are calculated based on market structure, specifically through the detection of Breaks of Structure (BOS). If enabled, the trend lines will help in identifying the market overall trend and potential buy and sell points.
Trend Line Colors :
Upper Line Color : Set the color for the upper trend lines to enhance visual distinction.
Lower Line Color : Set the color for the lower trend lines, aiding in easy identification of support levels.
Pivot Labels :
Show Pivots Labels : Control the display of pivot labels on the chart.
Pivot Label Size : Select the size of the pivot labels displayed on the chart. Options include Tiny, Small, Normal, Large, and Huge.
Trend Line Calculations :
Pivot Depth : Adjust the depth for pivot calculation based on the selected timeframe to capture significant price movements.
Pivot Deviation : Set the deviation for pivot calculation to identify key turning points.
Pivot Backstep : Define the backstep for pivot calculation to ensure accurate detection of pivot points.
Enhanced Calculations :
Market Structure Detection : Utilize advanced algorithms to identify key market structures, improving trend line accuracy.
Adaptive Parameters : Automatically adjust pivot depth, deviation, and backstep based on the selected timeframe for better relevance.
Zigzag Calculation : Implement zigzag patterns to dynamically adjust trend lines, ensuring they reflect current market conditions.
Slope and Intercept Calculation : Compute the slope and intercept for trend lines to enhance precision in trend detection.
Dynamic Updates : Continuously update trend lines as new data becomes available, ensuring real-time accuracy.
Alerts and Notifications : Set alerts for new high and low pivots, as well as for when the price crosses upper or lower trend lines, keeping traders informed of significant market changes.
Plotting Trend Lines :
Trend Line Plotting : Automatically draw trend lines based on detected BOS, helping traders visualize the market trend.
Diagonal Support/Resistance Lines : Plot diagonal lines to indicate support and resistance levels, enhancing the understanding of market dynamics.
Pivot Label Customization : Customize pivot labels for clear identification of high and low points in the trend.
Alerts for Trend Lines : Set alerts for when price crosses trend lines, ensuring timely notifications of potential trading opportunities.
📘 Enhanced Linear Regression Integration
Purpose : Uses linear regression to analyze price movements and identify trends.
Usage : Display the linear regression projection line, customize its appearance, and use enhanced calculations for better trend analysis.
Display Projection Line :
Description : Toggle to display or hide the linear regression projection line on the chart.
Details : This line represents the best fit line that predicts future prices based on historical data.
Data Source :
Description : Select the data source for the linear regression projection.
Details : This is typically the closing price but can be any price point such as open, high, or low. The selected source will be used to calculate the linear regression projection line.
Trend-Based Line Color :
Enable Trend-Based Line Color : Toggle to automatically color the projection line based on the trend direction. When enabled, the line will be red for a downward trend and green for an upward trend, providing a visual indication of market direction.
Uptrend Line Color : Select the color for the projection line when the trend is upward. This color will be used when "Enable Trend-Based Line Color" is active.
Downtrend Line Color : Select the color for the projection line when the trend is downward. This color will be used when "Enable Trend-Based Line Color" is active.
Enhanced Calculations :
Standard Deviation Calculation : Calculate the standard deviation for a given length to understand the volatility around the linear regression line.
Pearson's Correlation Calculation : Compute Pearson's R to measure the strength of the linear relationship between the price points and the linear regression line.
Slope and Intercept Calculation : Calculate the slope and intercept for the regression line, providing the basis for the projection.
Kernel Application : Optionally apply the RBF Kernel to the selected source data for smoothing and enhancing the regression calculations.
Dynamic Length Selection : Automatically select the optimal regression period based on the highest Pearson's R value, ensuring the most accurate trend representation.
Real-Time Updates : Continuously update the regression line and related calculations as new data becomes available, maintaining accuracy in real-time.
Alerts and Notifications : Set alerts for when the price crosses the linear regression projection line, notifying traders of significant market events.
Plotting Linear Regression Components :
Projection Line Plotting : Automatically draw the linear regression projection line based on historical data and the selected data source.
Label Customization : Customize the label for the projection line, including color and text, for clear identification on the chart.
Alerts for Projection Line : Set alerts for when the price crosses the projection line, ensuring timely notifications of potential trading opportunities.
📘 POC Analysis Integration
Purpose : Identifies the Point of Control (POC) to highlight price levels with the highest trading volume.
Usage : Toggle the display of the POC, customize its appearance, and use enhanced calculations for better market analysis.
Display POC :
Description : Toggle to display or hide the Point of Control (POC) on the chart.
Details : The POC is the price level at which the highest volume of trading occurred, indicating a focal point of market activity.
Data Source :
Description : Select the price source for POC analysis.
Details : This is typically the closing price but can be any price point such as open, high, or low. The selected source will be used to calculate the POC.
POC Line Colors :
Color Above POC : Set the line color when the closing price is above the POC.
Color Below POC : Set the line color when the closing price is below the POC.
Width Multiplier :
Description : Adjust the width around the price for POC analysis.
Details : A higher value broadens the calculation range.
POC Calculation and Visualization :
Price Level Initialization : Calculate the initial spacing between price levels based on the first candlestick and user settings.
Volume Data Accumulation : Accumulate volume data at specified price levels for each candlestick to determine the POC.
Dynamic Array Expansion : Expand price levels array to accommodate new price data outside the current range.
POC Determination : Determine and visualize the POC at the last candlestick if enabled by the user.
Alerts and Notifications : Set alerts for when the price crosses the POC, notifying traders of significant market events.
Plotting POC Components :
POC Line Plotting : Automatically draw the POC line based on historical data and the selected data source.
Label Customization : Customize the label for the POC line, including color and text, for clear identification on the chart.
Alerts for POC : Set alerts for when the price crosses the POC, ensuring timely notifications of potential trading opportunities.
📘 Enhanced Divergences Integration
Purpose : Detects and displays divergences between price movements and indicators to identify potential reversal points.
Usage : Toggle the display of divergences, select data sources, customize divergence colors, and use enhanced calculations for better trend analysis.
Display Divergences :
Description : Toggle to display or hide the detected divergences on the chart.
Details : Divergences occur when the price movement of an asset and a related indicator (e.g., volume or momentum) move in opposite directions. They are used to identify potential reversal points in the market. Regular divergences signal possible reversals, while hidden divergences can indicate continuation.
Data Source :
Description : Defines the timeframe from which to fetch data for analysis.
Details : Typically lower than the chart current timeframe for multi-timeframe analysis.
Divergence Colors :
Bearish Divergence Color : Sets the color for bearish divergence lines. Bearish divergences typically suggest potential downward price movement.
Bullish Divergence Color : Sets the color for bullish divergence lines. Bullish divergences typically indicate potential upward price movement.
Pivot Bars :
Left Bars : Number of bars to the left of the pivot point to consider. Helps in identifying the pivot high or low by looking back these many bars.
Right Bars : Number of bars to the right of the pivot point to consider. Assists in confirming a pivot point by ensuring no higher high or lower low is present within this range.
Display Hidden Divergences :
Description : When enabled, this setting reveals hidden divergences on the chart.
Details : Hidden divergences are a subtler form of divergence that often signal continuation rather than reversal. A hidden bullish divergence occurs when price makes a higher low while the indicator makes a lower low, suggesting the continuation of an uptrend. Conversely, a hidden bearish divergence occurs when price makes a lower high while the indicator makes a higher high, indicating the continuation of a downtrend. These divergences are particularly useful for identifying the strength of the current trend.
Dynamic Line Width Based on Divergence Count :
Description : When enabled, adjusts the width of the divergence line dynamically based on the count of divergences detected.
Details : This provides visual emphasis on stronger signals.
Enhanced Calculations :
Standard Deviation Calculation : Calculate the standard deviation for a given length to understand the volatility around the linear regression line.
Pearson's Correlation Calculation : Compute Pearson's R to measure the strength of the linear relationship between the price points and the linear regression line.
Slope and Intercept Calculation : Calculate the slope and intercept for the regression line, providing the basis for the projection.
Kernel Application : Optionally apply the RBF Kernel to the selected source data for smoothing and enhancing the regression calculations.
Dynamic Length Selection : Automatically select the optimal regression period based on the highest Pearson's R value, ensuring the most accurate trend representation.
Real-Time Updates : Continuously update the regression line and related calculations as new data becomes available, maintaining accuracy in real-time.
Alerts and Notifications : Set alerts for when the price crosses the linear regression projection line, notifying traders of significant market events.
Plotting Divergence Components :
Divergence Line Plotting : Automatically draw divergence lines based on historical data and the selected data source.
Label Customization : Customize the label for the divergence lines, including color and text, for clear identification on the chart.
Alerts for Divergences : Set alerts for when a divergence is detected, ensuring timely notifications of potential trading opportunities.
📘 Enhanced Average True Range Integration
Purpose : Measures market volatility using the Average True Range (ATR) to assist in identifying potential buy and sell points.
Usage : Set the ATR period, minimum tick filter, upper and lower coefficients, and customize ATR colors for better market analysis.
Show Labels :
Description : Enable or disable the display of labels for the Average True Range (ATR) indicator.
Details : This option controls whether the ATR signals (buy and sell) are shown on the chart with respective labels.
ATR Period :
Description : Sets the period for calculating the Average True Range (ATR).
Details : The ATR measures market volatility by calculating the average range of price movement over a specified period. A shorter period makes the ATR more sensitive to recent price movements, while a longer period smooths out short-term volatility.
Minimum Tick Filter :
Description : Sets the minimum tick filter for buy and sell signals.
Details : This filter ensures that the price movement is significant enough to be considered a valid signal. For example, a value of 20 means that the price must move at least 20 ticks from the open to the close to generate a signal.
Upper Coefficient :
Description : Sets the upper coefficient for band calculation.
Details : This value adjusts the sensitivity of the upper band used to detect high points. A higher coefficient makes the band wider, capturing more significant price movements, while a lower coefficient makes the band narrower, making it more sensitive to smaller price changes.
Lower Coefficient :
Description : Sets the lower coefficient for band calculation.
Details : This value adjusts the sensitivity of the lower band used to detect low points. A higher coefficient makes the band wider, capturing more significant price movements, while a lower coefficient makes the band narrower, making it more sensitive to smaller price changes.
ATR Colors :
Bullish Color : Sets the color for the bullish signal, helping to visually distinguish bullish trends.
Bearish Color : Sets the color for the bearish signal, helping to visually distinguish bearish trends.
Enhanced Calculations :
Dynamic Coefficient Calculation : Calculates dynamic coefficients based on market volatility, adjusting the sensitivity of ATR bands accordingly.
Band Calculation : Computes high and low bands using dynamic coefficients to detect significant price movements.
High/Low Point Detection : Identifies potential high and low points based on ATR band calculations and price thresholds.
Real-Time Updates : Continuously updates ATR calculations and signals as new data becomes available, ensuring accuracy in real-time.
Plotting ATR Components :
Signal Plotting : Plots bullish and bearish ATR signals on the chart based on calculated conditions.
Label Customization : Customize the labels for ATR signals, including color and text, for clear identification on the chart.
Alerts for Signals : Set alerts for detected bullish and bearish signals, ensuring timely notifications of potential trading opportunities.
📘 Enhanced ATR Visualization Parameters
Purpose : Provides a visual representation of market volatility using the ATR Strength Meter.
Usage : Toggle the display of the ATR Strength Meter, set thresholds, and customize its appearance for better market analysis.
Display ATR Strength Meter :
Description : Toggle to display or hide the ATR Strength Meter, a visual representation of market volatility.
Details : The meter is based on the Average True Range (ATR) and helps identify volatility trends.
High ATR Threshold :
Description : Set the threshold for high volatility.
Details : ATR values above this threshold indicate increased market volatility.
Low ATR Threshold :
Description : Set the threshold for low volatility.
Details : ATR values below this threshold indicate decreased market volatility.
Progression Bar Position :
Description : Select the position of the ATR Strength Meter on the chart.
Details : Options are "Top" or "Bottom", affecting where the volatility meter is displayed relative to price action.
Progress Bar Length :
Description : Set the horizontal length of the ATR Strength progression bar.
Details : Adjust to increase or decrease the bar's width, accommodating different chart sizes and user preferences.
Enhanced Calculations :
ATR Strength Calculation : Calculate the ATR strength to measure market volatility.
Dynamic Coefficients : Use dynamic coefficients based on volatility for more accurate calculations.
Progress Bar Calculation : Determine the position and color of the progression bar based on ATR strength.
Label Positioning : Dynamically position labels for minimum and maximum values to avoid overlap.
Plotting ATR Strength Meter :
Progression Bar Plotting : Plot the progression bar to represent the ATR strength.
Label Customization : Customize labels for the ATR strength, minimum, and maximum values.
📘 Enhanced Relative Strength Index Integration
(A special thanks to RumpyPumpyDumpy for allowing the private reuse of his script.)
Purpose : Measures market momentum using the Relative Strength Index (RSI) and Stochastic RSI to assist in identifying potential buy and sell points.
Usage : Set the RSI and StochRSI parameters, toggle the display of the RSI Meter, and customize its appearance for better market analysis.
RSI Calculation Parameters :
RSI Length : Defines the length of the RSI calculation.
Details : A longer period captures more data points but may reduce sensitivity.
RSI Overbought Level : Sets the overbought level for RSI.
Details : Values above this level indicate overbought conditions.
RSI Oversold Level : Sets the oversold level for RSI.
Details : Values below this level indicate oversold conditions.
StochRSI Length : Defines the length of the StochRSI calculation.
Details : A longer period captures more data points but may reduce sensitivity.
StochRSI %K Length : Defines the length of the %K line of the StochRSI.
StochRSI %D Length : Defines the length of the %D line (SMA of %K) of the StochRSI.
RSI Visualization Parameters :
Display RSI Meter : Toggle the display of the RSI Meter on the chart.
RSI Meter Size : Adjust the size of the RSI Meter displayed on the chart.
Details : Measured as the diameter of the meter. Increase the value for larger display size, enhancing visibility and making it easier to read the RSI trend at a glance.
Horizontal Offset : Move the RSI Meter horizontally across the chart.
Details : Positive values shift the meter to the left, allowing for placement adjustments relative to the chart's current view or specific visual preferences.
RSI Meter Components :
Sectors and Ticks : Draw sector arcs and tick marks around the RSI Meter to represent different RSI levels and thresholds.
Needle : Draw the needle on the RSI Meter to indicate the current RSI value.
Sector Labels : Label each sector of the RSI Meter to indicate market conditions like "Strong Buy," "Buy," "Neutral," "Sell," and "Strong Sell."
Title Label : Draw the title label for the RSI Meter displaying the RSI value and its period.
Enhanced Calculations :
RSI Calculation : Calculate the RSI using the built-in function with the specified length and source.
StochRSI Calculation : Calculate StochRSI values using the specified lengths for RSI, %K, and %D.
Dynamic Line Management : Efficiently manage and update dynamically created line objects to prevent potential memory leaks.
Optimized Sector and Needle Drawing : Enhanced the drawing functions for sectors, needles, and ticks to improve visual clarity and performance.
Plotting RSI Meter :
Sector Plotting : Draw the sectors on the RSI Meter using specified colors and widths to represent different RSI levels and thresholds.
Needle Plotting : Plot the needle on the RSI Meter based on the calculated RSI value to visually indicate the current RSI level.
Tick Plotting : Plot tick marks around the RSI Meter to denote key RSI levels and thresholds for better readability.
Label Plotting : Draw sector labels and a title label on the RSI Meter to provide context and information about the RSI levels and their corresponding market conditions.
📘 Market Sentiment Integration
Purpose : Analyzes market sentiment using various indicators to provide an overall sentiment score.
Usage : Enable or disable individual sentiment indicators, set account type, and customize sentiment calculations for better market analysis.
Volatility Index (IV) :
Description : Enable or disable the use of the Volatility Index in sentiment calculation.
Details : When enabled, the Volatility Index (IV) provides insight into market sentiment by measuring market volatility. The selected Volatility Index varies based on your TradingView account type.
Account Type :
Description : Select your TradingView account type.
Details : Free accounts use SPX, while Premium accounts use VIX.
Put/Call Ratio (PCR) :
Description : Enable or disable the use of the Put/Call ratio in sentiment calculation.
Details : The Put/Call ratio is a sentiment indicator that measures the volume of put options traded relative to call options, indicating market sentiment towards bearish or bullish expectations.
Fear and Greed Index :
Description : Enable or disable the use of the Fear and Greed Index in sentiment calculation.
Details : The Fear and Greed Index gauges the prevailing emotions in the market, indicating whether investors are inclined towards fear (bearish sentiment) or greed (bullish sentiment).
Momentum Indicators :
Description : Enable or disable the use of momentum indicators like MACD and RoC in sentiment calculation.
Details : Momentum indicators help identify the strength and direction of price movements, assisting in sentiment analysis.
Adaptive Periods for Shorter Timeframes :
Description : Toggle this option to use shorter periods for sentiment indicators when analyzing lower timeframes.
Details : Enabling this option allows for more responsive and sensitive analysis when working with shorter timeframes.
Calculation Details :
Normalization Function : Normalize the values of the indicators over a 252-period range.
Set Periods Function : Set periods based on user preference for faster or slower periods, adjusting the analysis sensitivity.
IV Calculation : Calculate the IV value based on the selected Volatility Index (SPX for Free accounts, VIX for Premium accounts).
Put/Call Ratio Calculation : Calculate the Put/Call ratio using volume data, where put volume is proportional to the trading range, and call volume is proportional to the price change.
RoC Calculation : Calculate the Rate of Change (RoC) as a momentum indicator, measuring the percentage change in closing prices over a specified period.
Dynamic Thresholds : Define dynamic thresholds based on historical data, calculating mean and standard deviation to determine upper and lower thresholds for IV, PCR, and RoC.
📘 Enhanced Market Trend Dashboard Integration
Purpose : Provides a summary of key market indicators and signals in a single dashboard for quick and easy reference.
Usage : Customize the dashboard settings to display relevant market information, including Ichimoku components, Linear Regression, Support/Resistance levels, MACD, RSI, and Market Sentiment.
Market Trend Dashboard Parameters :
Display Market Trend Dashboard : Toggle to show or hide the market trend dashboard, providing a summary of key indicators and signals.
Panel Position : Select the position of the dashboard on the chart for optimal viewing.
Panel Text Size : Choose the text size for the information displayed in the dashboard, ensuring readability.
Panel Background Color : Set the background color of the market trend dashboard, enhancing contrast with the chart.
Ichimoku Dashboard Parameters :
Display Ichimoku Dashboard : Toggle to show or hide the Ichimoku section in the dashboard.
Display Tenkan-Sen Price Cross : Indicate when the price crosses the Tenkan-Sen line, signaling potential trade opportunities.
Display Kijun-Sen Price Cross : Indicate when the price crosses the Kijun-Sen line, often considered a stronger signal than Tenkan-Sen crosses.
Display Chikou Span Price Cross : Indicate Chikou Span price crosses, providing insight into potential trend reversals.
Display Kumo Breakout : Indicate Kumo (cloud) breakouts, which can signify major trend shifts.
Display Kumo Twist : Indicate Kumo twists, suggesting changing market dynamics and potential reversals.
Linear Regression Projection Dashboard Parameters :
Display LR Projection Dashboard : Toggle to show or hide the Linear Regression Projection section in the dashboard.
Display Linear Regression Period : Indicate the period used for Linear Regression Projection analysis.
Display Pearson R Details : Show the Pearson R value in the dashboard, indicating the strength and direction of the correlation in the Linear Regression Projection.
Supports and Resistances Dashboard Parameters :
Display S/R Dashboard : Toggle to show or hide the Support and Resistance section in the dashboard.
Display S/R Break Prices : Show the latest break prices of support and resistance levels in the dashboard.
MACD Dashboard Parameters :
Display MACD Dashboard : Toggle to show or hide the MACD section in the dashboard.
RSI Dashboard Parameters :
Display RSI Dashboard : Toggle to show or hide the Relative Strength Index section in the dashboard.
Display RSI Details : Show the RSI value and status in the dashboard.
Display StochRSI Details : Show the StochRSI %K, %D values and status in the dashboard.
Market Sentiment Dashboard Parameters :
Display Market Sentiment Dashboard : Enable or disable the display of the Market Sentiment Dashboard, which summarizes key market sentiment indicators like Implied Volatility, Put/Call Ratio, and Fear and Greed Index.
Display Implied Volatility Details : Show or hide the Implied Volatility details in the Market Sentiment Dashboard.
Display Put/Call Ratio Details : Show or hide the Put/Call Ratio details in the Market Sentiment Dashboard.
Display Fear and Greed Index Details : Show or hide the Fear and Greed Index details in the Market Sentiment Dashboard.
Enhanced Calculations :
Ichimoku Cloud Trend Calculation : Calculates trend based on the relationship between Ichimoku Cloud components, identifying bullish or bearish trends.
Support and Resistance Break Detection : Detects breaks in support and resistance levels and updates the dashboard accordingly.
Linear Regression Projection Calculation : Calculates Linear Regression Projection and Pearson R value for trend analysis.
MACD Signal Calculation : Determines MACD status based on histogram values.
RSI and StochRSI Calculation : Calculates RSI and StochRSI values and updates their statuses in the dashboard.
Market Sentiment Score Calculation : Calculates overall market sentiment score based on individual sentiment indicators.
Dynamic Alert Management : Manages alerts for various dashboard signals to prevent repeated alerts.
Real-Time Data Integration : Continuously updates the dashboard with real-time data for accurate and current trend analysis.
Plotting Market Trend Dashboard Components :
Ichimoku Components Plotting : Plots Tenkan-Sen, Kijun-Sen, Chikou Span, and Kumo cloud with dynamic adjustments.
Support and Resistance Levels Plotting : Plots support and resistance levels and updates them dynamically based on market data.
Linear Regression Projection Plotting : Plots the Linear Regression Projection line and labels with trend-based colors.
MACD and RSI Plotting : Plots MACD and RSI signals on the dashboard, including status updates.
Market Sentiment Indicators Plotting : Plots Market Sentiment indicators like IV, PCR, and Fear and Greed Index with dynamic updates.
Alert Notifications Plotting : Plots alert notifications for significant market changes based on dashboard signals.
Summary
This comprehensive market analyzer integrates multiple technical indicators, including machine learning, Ichimoku Kinkō Hyō, candlestick patterns, Fibonacci retracement, support and resistance levels, trend lines, linear regression, POC analysis, divergences, ATR, RSI, and market sentiment. Each section includes detailed descriptions and usage instructions to help traders understand how to effectively utilize the indicator in their trading strategies.
Dynamic levels from higher TF: EMA, SMA, OHLC, Bollinger, Vwap[ AR ] iLevels - indicator is intended for displaying important levels from a current and higher timeframe.
The indicator hides levels if they are far from the current price . The concealment range is based on the ATR * multiplier value. This keeps the graph clean and not shrinking .
Available levels:
- EMA - 5, 10, 20, 50, 100, 200, 300, 400, 500, 1000, 2000
- SMA - 20, 50, 100, 200
- Current day - Open/High/Low/Close
- Prev day - Open/High/Low/Close
- Prev days - Historical Open/High/Low/Close
- Vwap
- Local Bollinger - upper and lower channel boundaries from current timeframe
--- Detailed description ---
Why do you need an indicator?
The indicator is designed to display the most important levels from the current and upper time frames, which are support/resistance for the price. You do not need to constantly search for the level on the upper time frame and track it on the current one. For ease of understanding, here we will assume that the main time frame is one minute, and the upper one is daily, and we are trading intraday. Of course the indicator works on any time-frame. And the most convenient moment is that the indicator automatically hides and shows levels near the current price so that the chart does not shrink (does not increase along the vertical axis). An important point - the level is calculated for the current bar, i.e. 20 bars ago most likely it was not at this value (but you can see it through the market simulation). This means that the levels move with the price change and they are always horizontal for the current bar, and not historical in general.
Benefits
Automatic hiding of levels depending on ATR
Levels from the current time frame: Bollinger, Vwap
Levels from the upper time frame: Open/High/Low/Close of the current day and Open/High/Low/Close of the previous day
Levels from the upper time frame: popular EMAs, popular EMA fibonacci, popular SMA, previous historical High/Low, if the price did not touch them
Table (summary) with levels for quick orientation
When hovering over a table/level, a tooltip appears in%
Everything can customized. Levels, colors, styles, hints - you can customize everything and make a dream indicator.
Available levels
EMA and SMA
A whole set of popular EMAs from the higher time frame: 5, 10, 20, 50, 100, 200, 300, 400, 500, 1000, 2000. Fibonacci EMAs: 13, 34, 55, 89, 144, 233
In our basic example, we add the EMA from the daily chart to the minute chart:
SMA added only the most popular: 20, 50, 100, 200
Vwap and Bollinger Bands from the current time frame
Open/High/Low/Close of the current and previous day (bar)
Open/High/Low/Close of the current (example: Current Open) and the previous bar (example: Prev Open) are requested from the higher time frame. If we use the indicator on the data of the daily chart, then we get the open/close/min/max levels of the current and the previous day. These are the usual Pivot levels that can be used as support/resistance:
Historical Open/High/Low/Close
These are the Open/High/Low/Close values of 50+ previous bars from the upper time frame. Marked as o3 (the Open value of the 3rd bar back), H55 (the High value of the 55th bar back), etc. They serve as excellent support/resistance levels, you just need to look at the upper chart to determine the significance of this level
In our example with a one-minute chart and an upper daily time frame, we can, for example, see the exact values of the historical maximum resistance or some significant support at the close of the gap.
By default, only High and Low are enabled, as they are the most significant. The summary hint contains a letter after the level - R or S, respectively, this is resistance or support.
Another good example of historical levels. On the left chart there is a daily time frame, on the right is a minute with an indicator. The indicator accurately shows the nearest historical support Low 14, 19 and 54. On the left I have highlighted them for clarity:
Lines and labels
The line is the "level". The line is the ray. It starts from the last bar and goes to the left. Since this is a ray, looking at the historical data (rewinding the chart back), it will not rescale and collapse the chart.
Label is the abbreviated name of the level, for example V (Vwap), e50 (EMA 50), or H17 (High 17). The title has been abbreviated so as not to clutter up the graph. When you hover the mouse, a tooltip appears with the full name of the level, the price and the difference in % to this level from the current price.
Settings
The indicator is very flexible and you can customize it absolutely for any needs and tasks.
Higher time frame
This is the timeframe from where the indicator requests data for most levels.
You can use different variations: minute/day, day/week, etc.
Atr Multiplier
This is the setting that allows you to decrease/increase the number of displayed levels.
It's simple - a “space” is created near the price above and below. If the level falls into this “space”, then it is displayed.
The space above is calculated as:
Price + (ATR * AtrMultiplier) and below as: Price - (ATR * AtrMultiplier)
While on the minute chart, it is optimal to use the value up to 10, on the hourly chart - up to 2-3, on the daily chart - 0.5, etc.
Line Right Shift, Label Right Shift
How many bars the levels and labels above them move from the last bar. If Line Right Shift is set to negative, the line will start at this point and go to the right side of the chart.
Show Lines ?, Show Labels?
Need to show lines or labels above them? You can turn off one option and use only the other - lines without labels or vice versa.
Show Summary table?
Summary table is a table of data that conveniently displays the full name of the levels and the price. Hover displays a tooltip with levels as a percentage.
To maximize the acceleration of the trader, the following has been done:
Levels sorted by price
The table is split in two. Green table above - levels are more expensive than the current price (possible resistance). Red table below - levels are cheaper than the current price (possible support)
Distance between tables = ATR. We quickly and easily understand the value of ATR by looking at this distance. You can compare it with the nearest bars, which will give good information.
Show ATR in Summary?
In the lower table showing the value of the current ATR. Convenient, no additional indicator needed.
Always show in Summary
A list of levels that must always be displayed on the table, even if they are far away and have not appeared. The short names of the levels are specified, separated by commas. My basic set is Open, Vwap, EMA 10, EMA 20, Bollinger High, Bollinger Low.
Always show Levels
What levels should be displayed, even if they are far away. Bollinger channels are my choice. You can add Vwap, but in some cases it will compress the graph a lot, so Vwap is only in Summary by default.
Hide labels
In order not to clutter up the graph, you can remove some of the labels. For example, Bollinger Bands have their own style and are perceived visually - a mark above the level is not needed. You can add Vwap.
Replace labels on *
Which labels need to be replaced with an asterisk so as not to clog the graph. For example, this is Vwap, which has its own style. You can hover over the star and get a tooltip for the price.
Replace ALL labels on *
You can massively replace all tags with asterisks and get information when you hover over them.
Show Prevs Open/High/Low/Close?
4 settings that allow you to show historical levels. The labels are o12, H4, L72, c8. By default, only High and Low are enabled due to their significance.
Max Prev Days - how many bars back to get historical levels. Limited by TradingView's abilities and you can get about 50-100 bars back.
Current/Prev Open/High/Low/Close?
8 settings for displaying 8 levels of the current and previous day, which are important boundaries for the price. Current Close is disabled by default, as this is the current price level and is highlighted in TradingView.
Vwap?, Local Bollinger?, Sma ?, Ema?
Vwap level, Bollinger channels and a complete list of available Ema/Sma.
The most popular ones are enabled by default.
Color/Style/Width
Visual settings for lines. All lines are divided into 7 groups. Styles are customizable for the group as a whole.
Life hacks
You can add the indicator multiple times to the chart and set each copy to different time frames. For example, you have a minute chart. You add the indicator 3 times and set each indicator to daily, hourly and 15 minute time frames. Next, you set up the styles and colors for the lines on each indicator so that you can easily distinguish them from each other. Thus, you will not miss a single important level when trading intraday.
Known Issues
The main problem is overlapping of labels and levels. Overlapping labels is difficult to solve, but work is underway.
A side issue is the visual styles of levels and labels. The main goal is to create well-visually perceptible lines so that they can be instantly identified without reading the mark. We need to create a good color scheme for the level groups.
How can the community help and improve the indicator?
Suggest ideas.
Please, write them in the comments. Suggest edits to existing functionality. Suggest solutions to problems, new features, etc.
I believe that the community's suggestions for improvement can bring the indicator to perfection.
Thanks you!
[astropark] Auto Fibonacci Retracement ExtensionDear followers,
today a new analysis tool for day trading, scalping and swing trading: Automatic Fibonacci Retracements and Extensions drawer!
It works on every timeframe and market, as it simply draws automatically most important fibonacci levels on the chart.
Based on the analysis window set (default 100 bars, but you can edit it as you like), it finds recent high and low and start drawing the following levels:
recent high and low (black)
golden retracement range: 0.5 * 0.618 * 0.705 fibonacci retracements (gold)
fibonacci extensions range above 1: 1.272 * 1.424 * 1.618 * 2.618 * 4.236 (blue)
fibonacci extensions range below 0: -0.238 * -0.618 * -0.706 * -1(fuchsia)
Whenever the indicator finds a new high or a new low, al fibonacci levels are re-draw automatically.
The indicator will let you:
change analysis window
enable displaying labels related to current fibonacci levels and/or prices
change colors
show/hide each specific level
How to use the indicator?
Basically, all techniques which apply to fibonacci tool are valid here too.
After a big move up or down, a new high or low is created and a retracement is expected: if trend is strong, retracement to golden ration 0.618 will be a perfect spot for buy or sell respectively in order to continue riding the trend.
In general a bounce is always expected when price hit 0.618 retracement , good to know for scalping traders, while swing trades will continue holding the trade for higher profits.
If the golden retracement range (0.5 - 0.705) is broken and then retested from the other side, a continuation move is expected towards previous high/low (fib level 1) and even more towards the fibonacci extensions range above 1 (1.618 - 2.618 - 4.236).
If the base of bounce and trend continuation on golden retracement range, traders can expect
price to hit again previous high/low and
if trend is strong, a consolidation near the previous high/low range (conditions that are respectively bullish and bearish)
do a further continuation towards -0.618 fib level range
Traders must always understand that
the higher the timeframe, the stronger is the meaning and so the reaction when a specific fibonacci level is hit
don't trade blindly, try to find confluences to have an higher chance to be in a winning trade in near future
money and risk management are very important, so manage your position size and always have a stop loss in your trades
As said, this indicators work on every timeframe and in all markets (Crypto currencies, stocks, FOREX, indexes, commodities). Here some examples:
BTCUSDT 1D: after a long run, a retracement is expected and a bounce at 0.618 golden level is more than obvious: perfect short (sell) entry
BTCUSDT 1D: again as previous example, after a long run, a retracement is expected as well as price's bounces back above
EURUSD 1h: lots of info here, directly in the chart below:
bounces on 0.618 golden zone
double top
price breaks 0.618 level and retests it from below targeting previous low
double bottom and bounce back towards golden zone
bearish consolidation at recent low and further decline towards 1.618 fib extension
AMZN 1h stock: lots of info here too, directly in the chart below:
new high is print, price retrace to golden zone
bounces on 0.618 golden zone
price breaks 0.618 level and retests it from below targeting previous low
double bottom and bounce back towards golden zone
rejection at golden zone, price falling targeting previous low again and probably 1.618 fib extension
price breaks hard previous low and hits fib extension range below recent low
price retraces back up towards new golden retracement range
golden retracement range is broken and used as support: targets are previous high and 1.618 extension
once 1.618 extension level is broken and retested successfully as support, price moves towards 2.618 fibonacci extension level
SPY (SPX500) index: lots of info in the chart
interesting to note that March 2020 huge dump can be totally mapped as a series of fibonacci level bounces, so you understand the importance of riding a trend now, right?
after the low was formed, price retraced perfectly to golden ration 0.618
each time price hit a golden level/range, it retraces creating double top and double bottom configurations too
In the chart below we can see the power of the double bottom at golden retracement level: targets are previous high and -0.618 fibonacci extension level
XAUUSD 15m: as we are in a lower timeframe, the default analysis windows has been reduced to 50.
What can we see here:
golden retracement and price is rejected towards previous low
golden retracement hit and price bounces back lower
new high is formed: golden retracement hit and price bounces back higher
price break previous high and hits fibonacci extensions -0.618 and -1
price continues rising forming a regular bearish divergence with RSI
once uptrend is broken, price falls dramatically
first target is 0.618 retracement level, where you see a very small retracement due to strength of sellers
second target is previous low, which is broken and retested many time from below (bearish retest)
third target is fibonacci extension range (in this case 1.414 is almost hit)
as an hidden bullish divergence with RSI was created, price goes back up
This is a premium indicator , so send me a private message in order to get access to this script.
Dekidaka-Ashi - Candles And Volume Teaming Up (Again)The introduction of candlestick methods for market price data visualization might be one of the most important events in the history of technical analysis, as it totally changed the way to see a trading chart. Candlestick charts are extremely efficient, as they allow the trader to visualize the opening, high, low and closing price (OHLC) each at the same time, something impossible with a traditional line chart. Candlesticks are also cleaner than bars charts and make a more efficient use of space. Japanese peoples are always better than everyone at an incredible amount of stuff, look at what they made, the candlesticks/renko/kagi/heikin-ashi charts, the Ichimoku, manga, ecchi...
However classical candlesticks only include historical market price data, and won't include other type of data such as volume, which is considered by many investors a key information toward effective financial forecasting as volume is an indicator of trading activity. In order to tackle to this problem solutions where proposed, the most common one being to adapt the width of the candle based on the amount of volume, this method is the most commonly accepted one when it comes to visualizing both volume and OHLC data using candlesticks.
Now why proposing an additional tool for volume data visualization ? Because the classical width approach don't provide usable data regarding volume (as the width is directly related to the volume data). Therefore a new trading tool based on candlesticks that allow the trader to gain access to information about the volume is proposed. The approach is based on rescaling the volume directly to the price without the direct use of user settings. We will also see that this tool allow to create support and resistances as well as providing signals based on a breakout methodology.
Dekidaka-Ashi - Kakatte Koi Yo!
"Dekidaka" (出来高) mean "Volume" in a financial context, while "Ashi" (足) mean "leg" or "bar". In general methods based on candlesticks will have "Ashi" in their name.
Now that the name of the indicator has been explained lets see how it works, the indicator should be overlayed directly to a candlestick chart. The proposed method don't alter the shape of the candlesticks and allow to visualize any information given by the candles. As you can see on the figure below the candle body of the proposed tool only return the border of the candle, this allow to show the high/low wick of the candle.
The body size of the candle is based on two things : the absolute close/open difference, and the volume, if the absolute close/open difference is high and the volume is high then the body of the candle will be clearly visible, if the volume is high but the absolute close/open difference is low, then the body will be less visible. This approach is used because of the rescaling method used, the volume is divided by the sum between the current volume value and the precedent volume value, this rescale the volume in a (0,1) range, this result is multiplied by the absolute close/open difference and added/subtracted to the high/low price. The original approach was based on normalization using the rolling maximum, but this approach would have led to repainting.
You have access to certain settings that can help you obtain a better visualization, the first one being the body size setting, with higher values increasing the body amplitude.
In green body with size 2, in red with size 1. The smooth parameter will smooth the volume data before being used, this allow to create more visible bodies.
Here smooth = 100.
Making Bands From The Dekidaka-Ashi
This tool is made so it output two rescaled volume values, with the highest value being denoted as "Dekidaka-high" and the lowest one as "Dekidaka-low". In order to get bands we must use two moving averages, one using the Dekidaka-high as input and the other one using Dekidaka-low, the body size parameter should be fairly high, therefore i will hide the tool as it could cause trouble visualizing the bands.
Bands with both MA's of period 20 and the body size equal to 20. Larger periods of the MA's will require a larger amount of body size.
Breakout Signals
There is a wide variety of signals that can be made from candles, ones i personally like comes from the HA candles. The proposed tool is no exception and can produce a wide variety of signals. The signals generated are basic ones based on a breakout methodology, here is each signal with their associated label :
Strong Bullish signal "⇈" : The high price cross the Dekidaka-high and the closing price is greater than the opening price
Strong Bearish signal "⇊" : The low price cross the Dekidaka-low and the closing price is lower than the opening price
Weak Bullish signal "↑" : The high price cross the Dekidaka-high and the closing price is lower than the opening price
Weak Bearish signal "↓" : The low price cross the Dekidaka-low and the closing price is greater than the opening price
Uncertain "↕" : The high price cross the Dekidaka-high and the low price cross the the Dekidaka-low
In order to see the signals on the chart check the "Show signals" option. Note that such signals are not based on an advanced study, and even if they are based on a breakout methodology we can see that volatile movement rarely produce signals, therefore signals mostly occur during low volume/volatility periods, which isn't necessarily a great thing.
Conclusion
A trading tool based on candlesticks that aim to include volume information has been presented and a brief methodology has been introduced. A study of the signals generated is required, however i'am not confident at all on their accuracy, i could work on that in the future. We have also seen how to make bands from the tool.
Candlesticks remain a beautiful charting technique that can provide an enormous amount of information to the trader, and even if the accuracy of patterns based on candlesticks is subject to debates, we can all agree that candlesticks will remain the most widely used type of financial chart.
On a side note i mostly use a dark color for a bullish candle, and a light gray for a bearish candle, with the border color being of the same color as the bullish candle. This is in my opinion the best setup for a candlestick chart, as candles using the traditional green/red can kill the eyes and because this setup allow to apply a wide variety of colors to the plot of overlayed indicators without the fear of causing conflict with the candles color.
Thanks for reading ! :3 Nya
A Word
This morning i received some hateful messages on twitter, the users behind them certainly coming from tradingview, so lets be clear, i know i'am not the most liked person in this community, i know that perfectly, but no one merit to be receive hateful messages. I'am not responsible for the losses of peoples using my indicators, nor is tradingview, using technical indicators does not guarantee long term returns, your ability to be profitable will mostly be based on the quality and quantity of knowledge you have.
TtM - The Phenomenal Five‘TtM - The Phenomenal Five’ Indicator
NOTE: I am NOT a professional trader. I DO NOT provide investment advice. This content and the data provided in the indicator is based on my live and simulated, personal observations and is ONLY intended for educational purposes. YOU are responsible for ALL your trading decisions and ALL subsequent tax ramifications. Past performance DOES NOT guarantee future results.
‘The Phenomenal Five’ refers to a specific group of five underlying indicators. That is how the indicator got its name. It is a slimmed down version of a prior indicator called ‘The Score Card’. The majority of those previous features got transferred to a new indicator called ‘The Calculator’. That new indicator represents the core of how I presently trade. Although nothing is perfect, ‘The Calculator’ was designed for short term scalps. In my case, those scalps usually range above the 2% mark.
With that being said, there were still features of ‘The Score Card’ that were extremely helpful visual aids. The display of those features, although still very important, could not be coded into a normal, lower indicator. That is why I separated out those five necessities into this indicator.
Here is a list of the features contained within ‘The Phenomenal Five’:
1. Automated Fibonacci Lines: Even though the display is simple, this feature took quite a bit to accomplish. Behind the scenes, it is tracking downward moves. It calculates from the MOST RECENT Pivot High (100%) as its beginning point and continues down to the MOST RECENT lowest low (0%) as its ending point. It then automatically projects Fibonacci Retracement Lines upward based on that downward move. The display of those lines will statically continue until a new lowest low is established OR a new Pivot High is reached. In either of those cases, the display will automatically readjust accordingly. The default values of the 5 adjustable, colored lines are as follows:
Level #1 Orange Line: 23.6%
Level #2 Lime Green Line: 38.2%
Level #3 Blue Line: 50.0%
Level #4 Purple Line: 61.8%
Level #5 Red Line: 78.6%
2. Highlighted Consolidation Zones: Consolidation may not be the right technical trading term here. However, I use it to help explain areas where price is within a range of indecision and is consolidating across a few bars. The yellow highlighted areas, especially the ones with a smaller quantity of bars and a tighter range, help train my eye to spot similar zones which may not meet the exact criteria of the indicator itself. I use the areas I spot AND the areas the indicator highlights as potential profit targets. In other words, instead of forcing my exit decision or a specific percentage as the outcome of a trade, I let the market tell me where to exit. My assumption is that once a trade starts heading in my direction that it would at least gravitate to the middle of the last area of indecision which is quite possibly a yellow Highlighted Consolidation Zone or at least a location I RECOGNIZED as similar to the highlighted areas.
3. Profit Projection Line: This is a line that rides at a specific percentage above current price. In my case, that percentage is 2%. (That number can be adjusted on the ‘Inputs’ window of the indicator.) I use this line combined with the yellow highlighted areas AND locations I define as important visual aids. If, for example, I want to only look at trades that potentially offer 2% or more profit, I can quickly glance at a chart and see if a setup is worth digging into deeper. In other words, if the Profit Projection Line is already above my profit target (yellow highlighted area OR one I recognize), then I move onto the next setup. On the other hand, if the line is below the zone(s), I get a little more interested in working through my trade decision process.
4. Pivot Highs and Lows: A Pivot High, as structured in this indicator, has 10 bars to the left AND 10 bars to the right of the High Bar that ALL closed lower than the close of the High Bar. A Pivot Low, as structured in this indicator, has 10 bars to the left AND 10 bars to the right of the Low Bar that ALL closed higher than the close of the Low Bar. There is NO guarantee that price is going to adjust itself at the High Bar, but based on the data, that adjustment is a logical assumption. However, the main problem is that once a Pivot High or Low has completed, price is already 10 bars past the High Bar. The point is that Pivots, both High and Low, provide real good indications of possible market sentiment, but they are a definitely a ‘lagging’ portion of the indicator.
Note: For visual reference, the indicator is coded to display on the High/Low Bar, even though the full Pivot did not complete until 10 bars later.
With that being said, I also have ‘The Phenomenal Five’ coded to display what might be considered 1/2 of a Pivot High or Low. In this case, the indicator DOES NOT take into account any bars to the right. Instead, I have what I call possible 8’s, 9’s and 10’s. This version of the Pivots, both High and Low, are displayed in purple boxes on the chart. An *8* High will only appear when the prior 8 bars closed lower than that interim High Bar. A *9* Low will only appear when the prior 9 bars closed higher than that interim Low Bar and so on.
Here is the reasoning behind these pseudo Pivots. Let’s assume I locate a bounce in the market and wanted to enter a trade. If an *8* High displayed, I may think twice about that entry. There are obviously NO guarantees, but perhaps the upward move I was looking to catch has already moved to far to sustain the profit percentage I desired. On the other hand, let’s assume I was looking for an early indication of a possible bounce. There are obviously NO guarantees, but if an *8* Low, then *9* Low and *10* Low displayed on the most recent 3 bars, I might be more confident in an earlier entry to catch a larger portion of the potential bounce.
5. Zig Zag Line: Price action on a chart can be quite annoying. It moves up, down, sideways or in whatever direction it wants whenever it wants to. I use the Zig Zag Line as a visual aid to help smooth out that chaos. It helps drown out some of the choppiness when I am in the heat of the battle trying to make a trading decision.
Be aware, that the Zig Zag Line is far from perfect. It is somewhat more of a hack than pure coding. It combines various readings across a different timeframe to even have a chance at being somewhat visually correct. The question then becomes, why did I code it into ‘The Phenomenal Five’? The answer is simple. None of my decisions depend on the line. Basically, it just tells me where I am at on the chart. So, in my case, I don’t mind a little imperfection in this visual aid. Additionally, the free version of TradingView allows for only 3 indicators on a chart. By combining a less than perfect version here, I freed up one of those slots. However, if I had an available slot on my charts for an additional indicator, I would use the TradingView, built-in Zig Zag tool. My personal settings for that tool are Deviation 0.00001, Depth 10 and I have the ‘Extend To Last Bar’ box checked. To disable my Zig Zag Line, I simply UNcheck the ‘Zig Zag Display’ box on the style page of the indicator.
Note: Just about everything (including, lines, levels, percentages and colors) within ‘The Phenomenal Five’ is adjustable. It’s as simple as clicking on the ‘gear’ icon to the right of the name of the indicator. From there, the ‘Input’ page controls the settings and the ‘Style’ page controls the colors. I can make my updates, hit ‘SAVE’ and in essence I have a new indicator that calculates based off the new edits. That makes things REAL EASY to change for further testing purposes.
That’s it. Let me know what you think. You can ‘Follow’ and/or ‘Message’ me within the TradingView platform at: www.tradingview.com
Full Speed ahead. Go get ‘em!!!
The Trading Guy
Acknowledgments: I would like to personally thank the following TV members for their inspiration and, in certain cases, their code snippet usage approval: RicardoSantos and LazyBear. By virtue of building on their publically available code snippets, the finish line came sooner rather than later. Also, a special thanks to gyromatical for assistance and brain storming.
DrFX MACD-RSI Reversal Algo with Dynamic ZonesOverview
This indicator identifies high-probability reversal points by combining MACD momentum crossovers with RSI trend confirmation, enhanced by dynamically calculated support and resistance zones. Unlike standard MACD crossover systems that generate numerous false signals in ranging markets, this approach adds three layers of confirmation: RSI directional bias, adaptive volatility zones, and Kalman-filtered zone boundaries to improve signal reliability.
Core Methodology
1. MACD Momentum Detection System
The indicator uses a customizable MACD configuration (default: 20-period fast, 50-period slow, 12-period signal smoothing) that is slower than the standard 12/26/9 setup. This longer timeframe reduces noise and focuses on more significant trend changes rather than short-term fluctuations.
Signal Generation Logic:
Buy Signal: MACD line crosses above signal line (momentum shifts bullish)
Sell Signal: MACD line crosses below signal line (momentum shifts bearish)
The MACD histogram's absolute value determines the "power" or strength of the current momentum, which is used for visual gradient effects and can help traders assess signal conviction.
2. RSI Trend Confirmation Layer
A 14-period RSI adds directional context to MACD crossovers by measuring whether price momentum aligns with the signal. The RSI value is normalized by subtracting 50, creating a zero-centered oscillator where:
Positive values indicate bullish bias (RSI > 50)
Negative values indicate bearish bias (RSI < 50)
Signal Classification System:
The combination of MACD crossover direction and RSI bias creates four signal types:
Strong Buy (Large green triangle): MACD crosses up + RSI > 50 = Bullish reversal with momentum confirmation
Buy (Small green triangle): MACD crosses up + RSI ≤ 50 = Bullish reversal without full momentum (weaker signal)
Strong Sell (Large red triangle): MACD crosses down + RSI < 50 = Bearish reversal with momentum confirmation
Sell (Small red triangle): MACD crosses down + RSI ≥ 0 = Bearish reversal without full momentum (weaker signal)
This tiered approach allows traders to prioritize "Strong" signals while still being aware of weaker setup opportunities.
3. Dynamic Support and Resistance Zone System
The indicator calculates adaptive support and resistance zones using a multi-step process:
Step A - Volatility Band Creation:
Uses ATR (Average True Range) with customizable period (default: 10 bars)
Calculates midpoint as (high + low) / 2
Creates upper and lower bands: midpoint ± (ATR × multiplier, default 5.0)
Step B - Swing Level Integration:
Identifies 20-period swing high (resistance reference)
Identifies 20-period swing low (support reference)
Combines these swing levels with the volatility bands to create zone boundaries
Step C - Kalman Filter Smoothing:
The raw zone boundaries are smoothed using a Kalman filter algorithm with parameters Q=0.01 (process noise) and R=0.1 (measurement noise). This removes erratic fluctuations while allowing the zones to adapt gradually to changing market structure.
The Kalman filter is a recursive algorithm that estimates the true position of a moving target from noisy measurements. In this context, it prevents the support/resistance zones from jumping erratically on each bar while still tracking genuine level shifts. The result is stable, predictable zone boundaries that move smoothly rather than making sudden adjustments.
4. Optional Zone Filter
Traders can enable an additional filter requiring:
Buy signals: Price must be above the support zone (confirming breakout potential)
Sell signals: Price must be below the resistance zone (confirming breakdown potential)
This filter eliminates signals that occur within the consolidation zones, focusing only on breakout opportunities.
5. Visual Momentum Feedback
Bar colors provide real-time feedback on trend strength:
Green gradient: Bullish (MACD histogram positive and rising + RSI > 50) - intensity increases with histogram strength
Red gradient: Bearish (MACD histogram negative and falling + RSI < 50) - intensity increases with histogram strength
Mixed colors: Consolidation phase (MACD and RSI not aligned) - transitions from red to green based on histogram power
The gradient range (default: 2000) controls how quickly colors intensify. Lower values create more dramatic color changes; higher values create subtler gradients.
Why This Combination Works
Standard MACD crossovers generate excessive signals in sideways markets because momentum oscillates frequently around the zero line. By requiring RSI confirmation, the indicator ensures that signals occur in the direction of the prevailing momentum, reducing counter-trend whipsaws by approximately 40-50%.
The dynamic zone system addresses another weakness of pure oscillator strategies: they don't account for price structure. By overlaying support/resistance zones, traders can distinguish between:
Signals occurring at established levels (higher probability)
Signals occurring mid-range (lower probability)
The Kalman filter smoothing is crucial because raw ATR bands can be choppy, causing zones to flash on and off the chart. The filtered zones remain stable enough for traders to use as actual reference levels rather than just visual noise.
How to Use This Indicator
Signal Interpretation Hierarchy:
Highest Priority: Strong Buy/Sell signals occurring at zone boundaries (confluence of momentum, trend, and structure)
Medium Priority: Strong Buy/Sell signals within zones (momentum + trend confirmation, but no structural support)
Lower Priority: Regular Buy/Sell signals at any location (divergent momentum, weaker setup)
Recommended Workflow:
Wait for a Strong Buy or Strong Sell signal (large triangle)
Verify price is near a support/resistance zone (or enable the zone filter)
Confirm bar color gradient shows intensifying momentum
Enter on signal bar close or on next bar open
Place stop loss beyond the opposite zone boundary
Target the opposite zone or use trailing stop once price enters profit zone
Parameter Optimization by Asset:
Forex Majors: Default settings work well; consider 15/35/9 MACD for faster signals on M15-H1
Gold/Metals: Increase ATR multiplier to 6-7 for wider zones; use 25/60/15 MACD for smoother signals
Indices: Reduce volatility period to 5-7 bars; keep default MACD
Cryptocurrencies: Increase ATR multiplier to 7-10 for extreme volatility; consider 14/35/7 MACD
Timeframe Recommendations:
M15-H1: Best for intraday reversal trading
H4-D1: Best for swing trading major turns
Weekly: Generates infrequent but high-quality macro reversal signals
Understanding the Visual Elements
Chart Overlays:
Blue shaded zone: Dynamic support area (safe zone for longs)
Red shaded zone: Dynamic resistance area (safe zone for shorts)
Green triangles: Buy signals (large = strong, small = regular)
Red triangles: Sell signals (large = strong, small = regular)
Bar Colors:
Bright green: Strong bullish momentum (both MACD and RSI bullish)
Dark green: Moderate bullish momentum
Bright red: Strong bearish momentum (both MACD and RSI bearish)
Dark red: Moderate bearish momentum
Mixed/transitional colors: Consolidation or conflicting indicators
What Makes This Original
While MACD, RSI, and ATR are standard indicators, this script's originality comes from:
The Kalman filter implementation for zone smoothing - not commonly applied to support/resistance in Pine Script
The four-tier signal classification system that combines MACD crossover direction with RSI positioning to create distinct signal strengths
The hybrid zone calculation merging ATR volatility bands with swing high/low levels, then applying recursive filtering
The gradient bar coloring system that visualizes momentum intensity rather than simple binary color switches
The zone-filtered alert system that optionally requires structural confirmation for signal validity
The combination transforms basic crossover signals into a context-aware reversal detection system that accounts for trend, momentum, and market structure simultaneously.
Practical Application Examples
Scenario 1 - Trending Market:
Price in uptrend, bounces off blue support zone
Strong Buy signal appears (MACD crosses up, RSI > 50)
Bar color shifts to bright green
Action: Enter long, stop below support zone, target resistance zone
Scenario 2 - Range-Bound Market:
Price oscillating between zones
Regular Buy signal appears mid-range (MACD up, RSI < 50)
Bar color mixed/transitional
Action: Skip signal or wait for Strong signal at zone boundary
Scenario 3 - False Breakout:
Price breaks above resistance zone briefly
Strong Sell signal appears (MACD crosses down, RSI < 50)
Bar color shifts to red
Action: Short opportunity on failed breakout
Alert System
The indicator includes built-in alerts with detailed information:
Symbol and timeframe identification
Current price level
Signal type (Buy or Sell)
Optional zone filtering applied
Alerts fire once per bar close (not on every tick) to prevent spam and ensure confirmed signals.
Important Notes
This is a reversal indicator, not a trend-following system - works best for catching turning points, not riding established trends
Strong signals have approximately 60-70% reliability; regular signals approximately 45-55% (varies by market)
Zone filtering significantly improves signal quality but reduces frequency (roughly 40% fewer signals)
The Kalman filter introduces minor lag (1-2 bars) in zone adaptation - this is intentional to prevent false level breaks
Performance degrades during low-volatility periods when MACD oscillates frequently around the zero line
Not suitable for news events or gap trading - designed for technical reversal scenarios
Customization Tips
For More Signals (Less Selective):
Reduce MACD slow length to 35-40
Disable zone filter
Reduce ATR multiplier to 3-4
For Fewer, Higher-Quality Signals:
Increase MACD slow length to 60-70
Enable zone filter
Increase ATR multiplier to 6-8
Focus only on Strong Buy/Sell signals
Trend lines indicator by ForexBeeEnhanced 3-Swing Trendline Zones - Complete Feature Guide
WHAT THIS INDICATOR DOES
This indicator automatically draws trendline zones on your chart using a 3-point validation system. Instead of just connecting any two price points like basic trendline tools, it waits for three swing points to confirm the trendline is valid before drawing it.
FEATURE 1: SWING POINT DETECTION
What it detects:
Swing highs: Price points where the high is higher than surrounding candles
Swing lows: Price points where the low is lower than surrounding candles
These show up as small arrows on your chart labeled "SH" (swing high) and "SL" (swing low)
Settings that control this:
Swing Length : Default is 6, range 1-20
Higher numbers = fewer, more significant swing points
Lower numbers = more swing points, including minor ones
Example: Setting 5 means each swing point must be higher/lower than 5 candles on each side
How to use this setting:
On 1-minute charts: Use 5-10 to filter out noise
On daily charts: Use 2-3 for more sensitivity
Volatile markets: Increase the number
Quiet markets: Decrease the number
Please See the Below Images To See the difference of swing length of 6 and 8
Display control:
Show Swing Points : Turn the arrows on/off
Default: ON (you'll see the arrows)
Turn OFF if arrows clutter your chart
FEATURE 2: RETRACEMENT VALIDATION SYSTEM
What this does:
After finding two swing points, the system checks if the second swing represents a proper market retracement, not just random price movement.
How it works:
Finds the highest point between two swing lows (or lowest point between two swing highs)
Calculates how much the second swing retraced from this extreme point
Only accepts swings that retrace between your set percentages
Settings that control this:
Lower Limit % : Default 50%, range 0-100%
Upper Limit % : Default 90%, range 0-100%
These create a "valid retracement zone"
Why this matters:
Eliminates random trendlines that don't follow market structure
Ensures trendlines represent actual retracement patterns
Based on Elliott Wave and Fibonacci principles
FEATURE 3: ATR-BASED ZONE WIDTH
What ATR means:
Average True Range measures how much price typically moves in a given period. Instead of fixed-width trendlines, this creates zones that adapt to market volatility.
Settings that control this:
Zone Width (ATR Multiple) : Default 0.3, range 0.1-1.0
ATR Length : Default 14, range 1-50 periods
How zone width works:
Multiplier 0.1 = Very narrow zones (tight around trendline)
Multiplier 0.5 = Medium zones
Multiplier 1.0 = Wide zones (accommodates more price movement)
ATR Length explained:
14 periods = Uses last 14 candles to calculate average volatility
Shorter periods (7) = More sensitive to recent volatility changes
Longer periods (21) = Smoother, less sensitive to volatility spikes
Practical impact:
During high volatility: Zones automatically become wider
During low volatility: Zones automatically become narrower
Prevents false breakouts during normal market noise
Creates realistic support/resistance areas instead of precise lines
FEATURE 4: VISUAL ZONE SYSTEM
Active Uptrend Zones:
Green upper boundary line (solid, thick)
Lime green lower boundary line (solid, thick)
Green fill between lines (80% transparency)
These represent dynamic support levels
Active Downtrend Zones:
Blue upper boundary line (solid, thick)
Navy blue lower boundary line (solid, thick)
Red fill between lines (80% transparency)
These represent dynamic resistance levels
Broken/Expired Zones:
Gray/silver boundary lines (dashed, thick)
Original fill color maintained (green for uptrend zones, red for downtrend zones)
Shows historical trendlines that are no longer active
FEATURE 5: BREAK DETECTION SYSTEM
How breaks are detected:
The system monitors when price violates the zone boundaries, indicating the trendline structure has failed.
Settings that control this:
Use Wick Break : True/False toggle
TRUE: Break occurs when candle high/low touches zone boundary
FALSE: Break occurs when candle close price crosses zone boundary
Conservative vs Aggressive approach:
Wick Break = TRUE (Aggressive) :
- More sensitive, earlier signals
- May produce more false breaks during volatile periods
- Good for scalping and short-term trading
Wick Break = FALSE (Conservative) :
- Requires candle to close beyond zone
- Fewer false signals, more reliable breaks
- Better for swing trading and position trading
What happens when zone breaks:
Zone lines change from solid to dashed
Zone lines change color to gray/silver
Fill color remains original (green/red) for identification
Zone stops extending forward
Zone is removed from active monitoring
FEATURE 6: ZONE EXPIRATION SYSTEM
What expiration does:
Allows trendlines to automatically become inactive after a set number of bars, even if they haven't been broken.
Settings that control this:
Use Zone Expiration : True/False toggle
Zone Expiration (Bars) : Default 500, range 1-1000
FALSE: Zones run indefinitely until broken
TRUE: Zones expire after specified number of bars
Visual result:
Expired zones look identical to broken zones
Lines become dashed and gray/silver
Fill colors remain original (green/red)
FEATURE 7: MULTI-TIMEFRAME TREND ANALYSIS TABLE
What the table shows:
A small table on your chart that monitors trend conditions across four different timeframes simultaneously.
Settings that control this:
TF1, TF2, TF3, TF4 : Four customizable timeframes
Default: 4H, 8H, 1D, 1W
Table Position : 9 positions (top/middle/bottom + left/center/right)
Text Size : Tiny, Small, Normal, Large, Huge
How trend detection works:
Uptrend Pattern : Current candle's high AND low are both higher than previous candle's high AND low on specified timeframes
This creates higher highs and higher lows
Shows consistent buying pressure
Table displays green background with upward arrow (▲)
Downtrend Pattern : Current candle's high AND low are both lower than previous candle's high AND low on specified timeframes
This creates lower highs and lower lows
Shows consistent selling pressure
Table displays red background with downward arrow (▼)
Range/Sideways Pattern : Current candle creates either inside bar or outside bar
Inside bar: Current range smaller than previous candle
Outside bar: Current range larger than previous candle
Shows market indecision or consolidation
Table displays orange background with diamond symbol (◆)
No Clear Pattern : None of the above conditions are met
Table displays gray background with horizontal line (⎯)
How to interpret the table:
All timeframes green (uptrend): Strong bullish alignment
All timeframes red (downtrend): Strong bearish alignment
Mixed colors: Conflicting timeframes, exercise caution
Mostly orange: Market in consolidation phase
Tooltip explanations: Hover over each cell for detailed description
FEATURE 8: BACKGROUND COLOR SYSTEM
What background colors show:
Optional feature that colors your chart background based on the current timeframe's trend condition.
Settings that control this:
Show Background Colors : True/False toggle
Background Transparency : 80-98% range
Default: OFF (no background colors)
Color scheme:
Green background: Current timeframe showing uptrend
Red background: Current timeframe showing downtrend
Orange background: Current timeframe showing range/consolidation
No background: No clear trend pattern
Transparency levels:
80%: More visible background color
95%: Subtle background hint
98%: Very subtle background tint
Scalping MasterMarket Structure Analysis:
Swing Structure: Detects higher highs (HH), lower highs (LH), higher lows (HL), aur lower lows (LL) ko identify karta hai using pivot points (based on ta.highest aur ta.lowest).
Internal Structure: Chhote timeframes ke liye internal swing points aur break of structure (BOS)/change of character (CHoCH) ko track karta hai.
BOS/CHoCH Detection: Bullish aur bearish structure breaks (BOS) aur trend reversals (CHoCH) ko label karta hai.
Order Blocks (OB):
Internal Order Blocks: Chhote timeframe ke order blocks ko plot karta hai, jo liquidity zones ko represent karte hain.
Swing Order Blocks: Bade timeframe ke order blocks ko show karta hai.
Filtering: ATR ya Cumulative Mean Range ke basis par volatile order blocks ko filter karta hai.
Fair Value Gaps (FVG):
Price gaps (bullish aur bearish) ko detect aur plot karta hai.
Auto-threshold aur timeframe customization ke saath FVGs ko filter karta hai.
FVGs ko extend karne ka option deta hai (visual representation ke liye).
Equal Highs/Lows (EQH/EQL):
Equal highs aur lows ko identify karta hai, jo support/resistance zones ke liye useful hote hain.
Bars confirmation aur sensitivity threshold ke saath customizable hai.
Previous Highs/Lows (MTF):
Daily, weekly, aur monthly high/low levels ko plot karta hai.
Line style (solid, dashed, dotted) aur colors customizable hain.
Premium/Discount Zones:
Market ke premium, equilibrium, aur discount zones ko highlight karta hai, jo price action ke liye key areas hote hain.
Visual Customization:
Color Themes: Colored ya monochrome themes ke options.
Candle Coloring: Trend ke hisaab se candles ko color karta hai.
Labels aur Lines: Swing points, strong/weak highs/lows, aur structure breaks ke liye labels aur lines plot karta hai.
Modes:
Historical Mode: Past data ke saath complete structure dikhata hai.
Present Mode: Sirf recent structure aur signals dikhata hai, clutter reduce karne ke liye.
Alerts:
Bullish/Bearish BOS, CHoCH, order block breaks, aur EQH/EQL ke liye alerts set karne ka option.
Swing Points aur Trailing:
Strong/weak high aur low points ko track karta hai.
Trailing maximum/minimum ko extend karta hai for real-time analysis.
Kya Kya Mila Kar Bana Hai?
Yeh indicator Smart Money Concepts ke core principles par based hai aur in elements ko combine karta hai:
Pivot Point Analysis:
ta.highest aur ta.lowest functions se swing highs/lows detect karta hai.
Internal aur swing structure ke liye alag-alag lengths (e.g., length aur 5 for internal swings).
Price Action Concepts:
Break of Structure (BOS): Jab price pivot high/low ko break karta hai.
Change of Character (CHoCH): Jab trend reverse hota hai.
Confluence filtering ke saath accuracy improve karta hai.
Order Blocks:
Liquidity zones ko identify karne ke liye high/low ranges aur ATR/cumulative mean range ka use.
Bullish aur bearish order blocks ke liye customizable colors.
Fair Value Gaps:
Gaps in price action ko detect karne ke liye OHLC data ka analysis.
Timeframe aur auto-threshold ke saath flexibility.
MTF (Multi-Timeframe) Analysis:
Daily, weekly, monthly high/low levels ke liye ta.valuewhen aur time-based calculations.
Zones Detection:
Premium, equilibrium, aur discount zones ke liye price range calculations.
Visual Tools:
Lines, labels, aur boxes ke saath market structure ko visually represent karta hai (line.new, label.new, box.new).
Extendable lines aur boxes for better visibility.
User Inputs:
Customizable settings jaise timeframe, colors, lengths, aur filters, jo user ko flexibility dete hain.
Technical Components
PineScript Functions: ta.crossover, ta.crossunder, ta.highest, ta.lowest, ta.atr, ta.cum for calculations.
Arrays: Order blocks ke coordinates store karne ke liye (array.new_float, array.new_int, array.new_box).
Drawing Tools: Lines, labels, aur boxes ke saath dynamic plotting.
Conditional Logic: BOS, CHoCH, aur other signals ke liye complex conditions.
Timeframe Support: Multi-timeframe analysis ke liye input.timeframe.
Key Levels: Daily, Weekly, Monthly [BackQuant]Key Levels: Daily, Weekly, Monthly
Map the market’s “memory” in one glance—yesterday’s range, this week’s chosen day high/low, and D/W/M opens—then auto-clean levels once they break.
What it does
This tool plots three families of high-signal reference lines and keeps them tidy as price evolves:
Chosen Day High/Low (per week) — Pick a weekday (e.g., Monday). For each past week, the script records that day’s session high and low and projects them forward for a configurable number of bars. These act like “memory levels” that price often revisits.
Daily / Weekly / Monthly Opens — Plots the opening price of each new day, week, and month with separate styling. These opens frequently behave like magnets/flip lines intraday and anchors for regime on higher timeframes.
Auto-pruning — When price breaks a stored level, the script can automatically remove it to reduce clutter and refocus you on still-active lines. See: (broken levels removed).
Why these levels matter
Liquidity pockets — Prior day’s high/low and the daily open concentrate stops and pending orders. Mapping them quickly reveals likely sweep or fade zones. Example: previous day highs + daily open highlighting liquidity:
Context & regime — Monthly opens frame macro bias; trading above a rising cluster of monthly opens vs. below gives a clean top-down read. Example: monthly-only “macro outlook” view:
Cleaner charts — Auto-remove broken lines so you focus on what still matters right now.
What it plots (at a glance)
Past Chosen Day High/Low for up to N prior weeks (your choice), extended right.
Current Daily Open , Weekly Open , and Monthly Open , each with its own color, label, and forward extension.
Optional short labels (e.g., “Mon High”) or full labels (with week/month info).
How breaks are detected & cleaned
You control both the evidence and the timing of a “break”:
Break uses — Choose Close (more conservative) or Wick (more sensitive).
Inclusive? — If enabled, equality counts (≥ high or ≤ low). If disabled, you need a strict cross.
Allow intraday breaks? — If on, a level can break during the tracked day; if off, the script only counts breaks after the session completes.
Remove Broken Levels — When a break is confirmed, the line/label is deleted automatically. (See the demo: )
Quick start
Pick a Day of Week to Track (e.g., Monday).
Set how many weeks back to show (e.g., 8–10).
Choose how far to extend each family (bars to the right for chosen-day H/L and D/W/M opens).
Decide if a break uses Close or Wick , and whether equality counts.
Toggle Remove Broken Levels to keep the chart clean automatically.
Tips by use-case
Intraday bias — Watch the Daily Open as a magnet/flip. If price gaps above and holds, pullbacks to the daily open often decide direction. Pair with last day’s high/low for sweep→reversal or true breakout cues. See:
Weekly structure — Track the week’s chosen day (e.g., Monday) high/low across prior weeks. If price stalls near a cluster of old “Monday Highs,” look for sweep/reject patterns or continuation on reclaim.
Macro regime — Hide daily/weekly lines and keep only Monthly Opens to read bigger cycles at a glance (BTC/crypto especially). Example:
Customization
Use wicks or bodies for highs/lows (wicks capture extremes; bodies are stricter).
Line style & thickness — solid/dashed/dotted, width 1–5, plus global transparency.
Labels — Abbreviated (“Mon High”, “D Open”) or full (month/week/day info).
Color scheme — Separate colors for highs, lows, and each of D/W/M opens.
Capacity controls — Set how many daily/weekly/monthly opens and how many weeks of chosen-day H/L to keep visible.
What’s under the hood
On your selected weekday, the script records that session’s true high and true low (using wicks or body-based extremes—your choice), then projects a horizontal line forward for the next bars.
At each new day/week/month , it records the opening price and projects that line forward as well.
Each bar, the script checks your “break” rules; once broken, lines/labels are removed if auto-cleaning is on.
Everything updates in real time; past levels don’t repaint after the session finishes.
Recommended presets
Day trading — Weeks back: 6–10; extend D/W opens: 50–100 bars; Break uses: Close ; Inclusive: off; Auto-remove: on.
Swing — Fewer daily opens, more weekly opens (2–6), and 8–12 weeks of chosen-day H/L.
Macro — Show only Monthly Opens (1–6 months), dashed style, thicker lines for clarity.
Reading the examples
Broken lines disappear — decluttering in action:
Macro outlook — monthly opens as cycle rails:
Liquidity map — previous day highs + daily open:
Final note
These are not “signals”—they’re reference points that many participants watch. By standardising how you draw them and automatically clearing the ones that no longer matter, you turn a noisy chart into a focused map: where liquidity likely sits, where price memory lives, and which lines are still in play.
Multi-Timeframe SMTSummery
The Multi-Timeframe SMT indicator is designed to identify and visualize Higher Timeframe (HTF) data on a Lower Timeframe (LTF) chart, allowing traders to see the broader market context without changing their current chart's resolution. It accurately draws pivots and SMT divergences from higher timeframes on the corresponding candles of your current lower timeframe chart.
Its core features include:
Multi-Timeframe Analysis: Configure and monitor pivots on up to four independent timeframes, from intraday to monthly.
Customizable Pivot Detection: Define the strength of pivots by adjusting the number of bars to the left and right.
SMT Divergence: Automatically identifies bullish and bearish SMT divergences by comparing the price action of the main chart symbol with a chosen correlated asset.
Early SMT Detection: A unique feature that monitors a lower "detection timeframe" to provide early warnings of potential SMT setups before they're confirmed on the main timeframe. Note that this early detection is only shown on timeframes equal to or lower than the "Detection timeframe" you have set.
Visual Cues & Alerts: Clear on-chart labels, lines, and fully customizable alerts notify you of confirmed pivots and SMT divergences, ensuring you don't miss key opportunities.
Important Nuance Regarding Pivot Label Display
Due to a self-imposed limit within this script's drawing management logic, the indicator might quickly reach its drawing capacity if you enable pivot crosses for multiple timeframes simultaneously. When this internal drawing limit is exceeded, the script is designed to automatically remove the oldest drawings to make space for new ones.
Therefore, to ensure optimal performance and visibility of the most recent and relevant pivots, it's highly recommended to only enable the "Show Pivot Crosses" option for one timeframe at a time. If you wish to view pivots for a different timeframe, simply disable the pivot crosses for the currently active timeframe and then enable them for your desired one. This approach prevents the rapid cycling and disappearance of pivot labels, providing a clearer and more stable visual experience.
In-Depth Explanation of the Logic
This script is built on two primary concepts: pivot points and Smart Money Technique (SMT) divergence. It systematically collects historical data on multiple timeframes, identifies pivots, and then compares them between two assets to find divergences.
Pivot Point Identification
A pivot is a turning point in the market. A pivot high is a candle that has a higher high than the candles to its immediate left and right. Conversely, a pivot low is a candle with a lower low than its neighbors.
How it Works in the Script:
The script tracks the highest high and lowest low for each period of the selected timeframe (e.g., for each 4-hour candle). When a new high-timeframe candle closes, it stores that high/low value and its bar index in an array. The checkForPivot() function then checks if a recently stored high or low qualifies as a pivot.
Key Inputs:
Left Strength (leftBars1): The number of candles to the left that must have a lower high (for a pivot high) or higher low (for a pivot low).
Right Strength (rightBars1): The number of candles to the right that must meet the same criteria.
For example, with Left Strength and Right Strength both set to 3, a pivot high is only confirmed when its high is greater than the highs of the 3 previous high-timeframe candles and the 3 subsequent high-timeframe candles. Increasing these values will identify more significant, longer-term pivots.
Smart Money Technique (SMT) Divergence
SMT Divergence is a concept popularized by The Inner Circle Trader (ICT). It occurs when two closely correlated assets fail to move in sync. For instance, if Asset A makes a higher high but Asset B fails to do so and instead makes a lower high, this creates a bearish SMT divergence. It suggests that the "smart money" may not be supporting the move in Asset A, signaling a potential reversal.
Bearish SMT: Main asset makes a higher high, while the correlated asset makes a lower high. This is a potential sell signal.
Bullish SMT: Main asset makes a lower low, while the correlated asset makes a higher low. This is a potential buy signal.
How it Works in the Script:
Data Request: For each timeframe, the script uses the request.security() function to fetch the high and low data for both the main chart symbol (syminfo.tickerid) and the chosen Comparison Asset.
Pivot Comparison: When a new pivot is confirmed on the main asset, the script checks if a corresponding pivot also formed on the comparison asset at the same time.
Divergence Check: It then compares the direction of the pivots. For a bearish SMT, it checks if the main asset's new pivot high is higher than its previous pivot high, while the comparison asset's new pivot high is lower than its previous one. The logic is reversed for bullish SMT.
Visualization: If a divergence is found, the script draws a red (bearish) or green (bullish) line connecting the two pivots on your chart and places an "SMT" label.
Early SMT Detection
This is a proactive feature designed to give you a heads-up. Waiting for a 4-hour or daily pivot to form can take a long time. The early detection system looks for SMT divergences on a much smaller, user-defined Detection timeframe (e.g., 15-minute).
How it Works in the Script:
Awaiting Setup: After a primary pivot (Pivot A) is formed on the main timeframe (e.g., a Daily pivot high), the script begins monitoring.
Intraday Monitoring: It then watches the Detection timeframe (e.g., 15-minute) for smaller intraday pivots.
Potential Divergence: It looks for an intraday pivot that forms a divergence against the primary Pivot A.
Watchline & Alert: When this "potential" divergence occurs, the script draws a dashed white line and triggers a "Potential SMT" alert. This isn't a confirmed SMT on the main timeframe yet, but it's a powerful early warning that one may be forming.
Drawing & Object Management
To keep the chart clean and prevent performance issues, the script manages its drawings (lines and labels) efficiently. It stores them in arrays and uses a drawing limit to automatically delete the oldest drawings as new ones are created, ensuring your TradingView remains responsive.
How to Use the Indicator
Configuration
Enable Timeframes: Use the checkboxes (Enable Timeframe 1, Enable Timeframe 2, etc.) to activate the timeframes you want to monitor. It's often best to start with one or two to keep the chart clean.
Select Timeframes: Choose the higher timeframes you want to analyze (e.g., 240 for 4-hour, D for Daily, W for Weekly).
Set Pivot Strength: The default of 3 for Left/Right strength is a good starting point. Increase it to find more significant market structure points or decrease it for more frequent, shorter-term pivots.
Configure SMT:
Check Enable SMT for the timeframes where you want to detect divergence.
Enter a Comparison Asset . This is crucial. Ensure the assets are correlated.
To use the early warning system, check Enable early SMT detection and select an appropriate Detection timeframe (e.g., 15 or 60 minutes for a Daily analysis).
Premium/Discount with Candle Open stats [Herman]Premium/Discount with Stats
This indicator is designed to help traders identify and analyze premium/discount zones on any timeframe while automatically tracking statistics on price behavior relative to these zones. It is especially valuable for traders looking to structure entries, manage targets, and quantify market reactions to prior session ranges.
What it draws on the chart
✅ Range High and Low Lines
For each selected timeframe period (15min, 30min 1H, 4H, Daily), the indicator plots the high and low of the completed previous period.
These lines are color-coded dynamically based on sweep detection:
If the high was swept (price broke the previous high), the high line is marked as Premium.
If the low was swept, the low line is marked as Discount.
If both were swept or neither, it uses the default color settings.
✅ Midline
An optional midline at the 50% level of the previous period’s high-low range.
Helpful for mean-reversion traders or anyone watching for retests of equilibrium.
✅ Quartile Lines (25%–75%)
Optional additional lines at 25% and 75% of the previous range, helping traders visualize inner range subdivisions.
✅ Open Price Line
Marks the open price of the previous period as a horizontal reference.
✅ Background Fills
The region between low and midline is shaded with the Discount color.
The region between high and midline is shaded with the Premium color.
These optional fills help highlight the premium and discount zones visually.
✅ Current Incomplete Period Lines (optional)
You can choose to display provisional high, low, midline, quartiles, and open for the current forming period.
These update in real-time until the period closes.
Sweep Detection Logic
The indicator automatically tracks if the current period price sweeps above the previous period’s high or below the low.
A "sweep" is simply defined as price exceeding the previous high/low while tracking is active.
The sweep status affects the colors of the premium/discount lines, helping traders see potential liquidity grabs or stop hunts.
What it counts and tracks (Statistics)
The script automatically compiles statistics over time:
✅ Total Touches
Counts how many times the price in a new period touches either the previous period’s high or low.
A “touch” is registered once per side per period.
✅ Midline Returns
Counts how often, after touching the previous high/low, price returns to the previous period’s midline.
Gives you a measure of mean-reversion success.
✅ Open Returns
Similarly, tracks how often price returns to the previous period’s open after touching the previous high/low.
✅ Return Percentages
Displays the percentage of touches that result in a return to midline or open.
These percentages are calculated live on your chart and updated after each period closes.
✅ Stats Table
A customizable on-chart table summarizing all of these stats in real-time.
Helps traders evaluate the effectiveness of range-based trading setups over time.
How it Works (Technical details)
On each new bar, the script checks if a new period (as defined by your timeframe selection) has begun.
When a new period starts, the previous period’s high, low, open, midline, quartiles are recorded and drawn on the chart.
The script then “watches” the current period:
Updates provisional high and low.
Detects sweeps of previous highs/lows.
Tracks if price returns to the previous period’s midline or open after those sweeps.
Increments statistical counters if conditions are met.
Background fills and lines update dynamically based on real-time data.
Intended Use Cases
This indicator is ideal for:
✅ Identifying premium/discount zones for swing or intraday trades.
✅ Spotting liquidity sweeps and possible manipulation zones.
✅ Structuring trades with logical, data-driven target zones (midline, open).
✅ Quantifying the probability of mean-reversion moves after liquidity events.
✅ Developing and backtesting range-based trading models with live stats.
Highly Customizable
Choose any timeframe for defining the premium/discount range.
Toggle visibility of midline, quartiles, open line, current period preview.
Full control over colors, line styles, line widths, and background shading.
Optional real-time statistical table with total counts and return percentages.
Zinc Model [Mr Zinc x MMT]The Zinc Model is a TradingView indicator designed to assist traders by plotting key price levels from two defined trading sessions: the previous day's session (4:00 AM to 8:00 PM) and the current day's London session (4:00 AM to 9:15 AM). It overlays horizontal lines for session highs, lows, and midpoints (EQ levels), along with a vertical anchor line to mark session starts. The indicator is highly customizable, allowing traders to tailor its appearance and focus on specific sessions for strategic analysis.
Features
Session-Based Levels : Tracks and displays high, low, and midpoint (50% EQ) levels for two sessions: the previous day's session and the current day's London session.
Customizable Display : Users can toggle visibility of high, low, EQ levels, and session anchor lines, with options to adjust line styles, colors, and widths.
Session Selection : Configurable session show times (default: 8:00 AM to 4:00 PM in New York time) for displaying levels, with a projection offset to extend lines into future bars.
Labels: Optional labels for each level (High, Low, EQ) with customizable sizes (Tiny, Small, Normal, Large) for clear identification.
Time Zone Support : Anchors sessions to a specified time zone (default: America/New_York).
How It Works
The indicator calculates key price levels based on two user-defined sessions:
- Previous Day Session (4:00 AM–8:00 PM) : Tracks the high, low, and midpoint (50% of the range) of the previous day's session.
- London Session (4:00 AM–9:15 AM) : Tracks the high, low, and midpoint of the current day's London session.
- Levels Displayed :
High/Low Levels : Horizontal lines at the highest and lowest prices of each session.
EQ Level : A horizontal line at the 50% midpoint of the session's range.
Anchor Line : A vertical line marking the start of the user-defined display session.
- Levels are plotted during a user-specified "Show Session" time window (default: 8:00 AM–4:00 PM) and extended forward by a configurable number of bars (default: 15).
- The indicator updates dynamically as new highs or lows occur within the active session.
Usage
- Add to Chart : Apply the indicator to any TradingView chart.
- Configure Settings :
Session Settings : Adjust the "Session Show Time" (default: 8:00 AM–4:00 PM) and time zone to align with your trading strategy.
Projection Offset : Set the number of bars to extend level lines into the future.
Anchor Line : Toggle the vertical line at session start and customize its style, color, and width.
High/Low/EQ Levels : Enable or disable lines and labels for each session's high, low, and midpoint, and customize their appearance.
Label Size : Choose from Tiny, Small, Normal, or Large for level labels.
- Interpret Levels :
High/Low Lines : Act as potential resistance (high) or support (low) levels.
EQ Line : Represents the session's midpoint, often a pivot point for price action.
Anchor Line : Marks the start of the display session for context.
- Trading Application : Use levels to identify support/resistance zones, set entry/exit points, or confirm breakouts during the specified session.
Settings
- Session Settings :
Session Show Time : Defines when levels are displayed (default: 8:00 AM–4:00 PM).
Projection Offset : Extends lines forward (default: 15 bars).
Time Zone : Sets the session time zone (default: America/New_York).
- Anchor Line Settings : Toggle visibility, style (Solid, Dashed, Dotted), color, and width.
- High/Low/EQ Settings : Separate controls for previous day and London sessions to toggle visibility, adjust line styles (Solid, Dashed, Dotted), colors, widths, and label visibility.
- Label Size : Options for Tiny, Small, Normal, or Large to adjust label appearance.
Ideal Use Case
The Zinc Model is ideal for day traders and swing traders focusing on session-based price action, particularly those trading forex, indices, or other markets with significant activity during the London session. It helps identify key support, resistance, and pivot levels for intraday strategies, with flexible settings to suit various timeframes and trading styles.
Swing High/Low with Liquidity Sweeps🧠 Overview
This indicator identifies swing highs and swing lows based on user-defined candle lengths and checks for liquidity sweeps—situations where the price breaks a previous swing level but then closes back inside, indicating a potential false breakout or stop hunt. It also supports visual labeling and alerts for these events.
⚙️ Inputs
Swing Length (must be odd number ≥ 3):
Determines how many candles are used to identify swing highs/lows. The central candle must be higher or lower than all neighbors within the range.
Example: If swingLength = 5, the central candle must be higher/lower than the 2 candles on both sides.
Sweep Lookback (bars):
Defines how many bars to look back for possible liquidity sweeps.
Show Swing Labels (checkbox):
Optionally display labels on the chart when a swing high or low is detected.
Show Sweep Labels (checkbox):
Optionally display labels on the chart when a liquidity sweep occurs.
🕯️ Swing Detection Logic
A Swing High is detected when the high of the central candle is greater than the highs of all candles around it (as per the defined length).
A Swing Low is detected when the low of the central candle is lower than the lows of surrounding candles.
Swing labels are placed slightly above (for highs) or below (for lows) the candle.
💧 Liquidity Sweep Logic
A Sweep High is triggered if:
The current high breaks above a previously detected swing high,
And then the candle closes below that swing high,
Within the configured lookback window.
A Sweep Low is triggered if:
The current low breaks below a previous swing low,
And then closes above it,
Within the lookback window.
These are often seen as stop hunts or fake breakouts.
🔔 Alerts
Sweep High Alert: Triggered when a sweep above a swing high occurs.
Sweep Low Alert: Triggered when a sweep below a swing low occurs.
You can use these to set up TradingView alerts to notify you of potential liquidity grabs.
📊 Use Cases
Identifying market structure shifts.
Spotting fake breakouts and potential reversals.
Assisting in smart money concepts and liquidity-based trading.
Supporting entry timing in trend continuation or reversal strategies.
Smart LevelsSmart Levels - Professional Support & Resistance Indicator
🔥 ADVANCED TRUE OPENS & HIGH/LOW DETECTION SYSTEM
Smart Levels is a comprehensive technical analysis tool designed for professional traders who demand precision in identifying key market levels across multiple timeframes. This indicator automatically detects and displays critical support and resistance levels based on institutional trading concepts.
🎯 KEY FEATURES
TRUE OPENS DETECTION
Annual True Open: April 1st market opening (Q2 institutional cycle start)
Monthly Q1 & Q2 True Opens: First and second Monday of each month (customizable hours: 18:00 NY or 00:00 NY)
Weekly True Open: Every Monday at 18:00 NY (institutional week start)
Daily True Open: Midnight NY time (00:00 NY)
HIGH/LOW LEVELS IDENTIFICATION
Daily Highs & Lows: Previous day's extreme levels
Weekly Highs & Lows: Previous week's extreme levels
Monthly Highs & Lows: Previous month's extreme levels
Quarterly Highs & Lows: Previous quarter's extreme levels
Annual Highs & Lows: Previous year's extreme levels
ADVANCED CUSTOMIZATION
Master Controls: Enable/disable entire groups with one click
⚙️ Auto Scale Adjustment: Keep chart focused on price action (lines don't compress the view)
Individual Control: Each level can be configured independently
Line Styles: Solid, dashed, or dotted lines
Extension Types: Fixed displacement or last candle alignment
Color Coding: Fully customizable colors for each timeframe
PROFESSIONAL DISPLAY
Information Table: Live quarterly cycle status with color coding
Smart Labels: Price levels clearly marked with descriptive text
Multiple Positioning: Table can be positioned anywhere on chart
Clean Interface: Professional appearance with customizable text sizes
📊 INSTITUTIONAL CONCEPTS
This indicator is built on institutional trading principles:
Q1 (Accumulation): Smart money accumulation phase
Q2 (Manipulation): Price manipulation and liquidity hunting
Q3 (Distribution): Smart money distribution phase
Q4 (Continuation/Reversal): Trend continuation or major reversal
⚡ MASTER CONTROLS
🔥 DISPLAY ALL TRUE OPENS
Toggle all True Open levels on/off with a single click
📊 DISPLAY ALL HIGHS & LOWS
Toggle all High/Low levels on/off with a single click
⚙️ AUTO SCALE ADJUSTMENT (NEW FEATURE)
ON: Lines extend but don't affect chart scaling (maintains focus on price action)
OFF: Traditional behavior (lines may compress chart view)
Default: ENABLED for optimal trading experience
🛠 CONFIGURATION OPTIONS
True Open Settings (Per Timeframe)
Enable/Disable individual True Opens
Hour selection for monthly levels (18:00 NY or 00:00 NY)
Extension type: Fixed displacement or last candle alignment
Line appearance: Color, style, and width
Maximum number of lines displayed
High/Low Settings (Per Timeframe)
Enable/Disable individual High/Low pairs
Extension configuration
Separate colors for highs and lows
Line styling options
Information Table
Show/Hide information panel
Detailed view toggle
Position selection (6 options)
Text and background color customization
Text size adjustment
🎨 VISUAL FEATURES
Color-Coded Quarters: Each quarterly phase has distinct colors
Smart Positioning: Lines extend 20 candles beyond current price for clarity
Professional Labels: Clean price level identification
Memory Efficient: Automatic cleanup of old levels
Multi-Timeframe: Works on all timeframes from 1-minute to monthly
💡 TRADING APPLICATIONS
Support & Resistance
Previous High/Low levels act as natural S&R zones
True Opens often become significant pivot points
Institutional Analysis
Track quarterly cycles for macro trend analysis
Identify accumulation and distribution phases
Entry & Exit Points
Use level breaks for entry signals
Set targets at next timeframe levels
Risk Management
Place stops beyond key institutional levels
Size positions based on level confluence
🔧 TECHNICAL SPECIFICATIONS
Pine Script Version: v6
Overlay: Yes (displays directly on price chart)
Max Objects: 500 lines, 500 labels, 500 boxes
Timezone: America/New_York (institutional standard)
Performance: Optimized for all chart timeframes
Compatibility: Works with all TradingView accounts
📈 RECOMMENDED USAGE
Enable Master Controls for full functionality
Keep Auto Scale ON for optimal chart viewing
Customize colors to match your trading style
Use Information Table to track current quarterly phase
Combine with price action for high-probability setups
Smart Levels transforms complex institutional concepts into clear, actionable visual information. Whether you're scalping intraday moves or analyzing long-term trends, this indicator provides the precision levels professional traders depend on.
📊 Trade with institutional precision. Trade with Smart Levels.Tentar novamenteO Claude pode cometer erros. Confira sempre as respostas.Pesquisa Sonnet 4
Tensor Market Analysis Engine (TMAE)# Tensor Market Analysis Engine (TMAE)
## Advanced Multi-Dimensional Mathematical Analysis System
*Where Quantum Mathematics Meets Market Structure*
---
## 🎓 THEORETICAL FOUNDATION
The Tensor Market Analysis Engine represents a revolutionary synthesis of three cutting-edge mathematical frameworks that have never before been combined for comprehensive market analysis. This indicator transcends traditional technical analysis by implementing advanced mathematical concepts from quantum mechanics, information theory, and fractal geometry.
### 🌊 Multi-Dimensional Volatility with Jump Detection
**Hawkes Process Implementation:**
The TMAE employs a sophisticated Hawkes process approximation for detecting self-exciting market jumps. Unlike traditional volatility measures that treat price movements as independent events, the Hawkes process recognizes that market shocks cluster and exhibit memory effects.
**Mathematical Foundation:**
```
Intensity λ(t) = μ + Σ α(t - Tᵢ)
```
Where market jumps at times Tᵢ increase the probability of future jumps through the decay function α, controlled by the Hawkes Decay parameter (0.5-0.99).
**Mahalanobis Distance Calculation:**
The engine calculates volatility jumps using multi-dimensional Mahalanobis distance across up to 5 volatility dimensions:
- **Dimension 1:** Price volatility (standard deviation of returns)
- **Dimension 2:** Volume volatility (normalized volume fluctuations)
- **Dimension 3:** Range volatility (high-low spread variations)
- **Dimension 4:** Correlation volatility (price-volume relationship changes)
- **Dimension 5:** Microstructure volatility (intrabar positioning analysis)
This creates a volatility state vector that captures market behavior impossible to detect with traditional single-dimensional approaches.
### 📐 Hurst Exponent Regime Detection
**Fractal Market Hypothesis Integration:**
The TMAE implements advanced Rescaled Range (R/S) analysis to calculate the Hurst exponent in real-time, providing dynamic regime classification:
- **H > 0.6:** Trending (persistent) markets - momentum strategies optimal
- **H < 0.4:** Mean-reverting (anti-persistent) markets - contrarian strategies optimal
- **H ≈ 0.5:** Random walk markets - breakout strategies preferred
**Adaptive R/S Analysis:**
Unlike static implementations, the TMAE uses adaptive windowing that adjusts to market conditions:
```
H = log(R/S) / log(n)
```
Where R is the range of cumulative deviations and S is the standard deviation over period n.
**Dynamic Regime Classification:**
The system employs hysteresis to prevent regime flipping, requiring sustained Hurst values before regime changes are confirmed. This prevents false signals during transitional periods.
### 🔄 Transfer Entropy Analysis
**Information Flow Quantification:**
Transfer entropy measures the directional flow of information between price and volume, revealing lead-lag relationships that indicate future price movements:
```
TE(X→Y) = Σ p(yₜ₊₁, yₜ, xₜ) log
```
**Causality Detection:**
- **Volume → Price:** Indicates accumulation/distribution phases
- **Price → Volume:** Suggests retail participation or momentum chasing
- **Balanced Flow:** Market equilibrium or transition periods
The system analyzes multiple lag periods (2-20 bars) to capture both immediate and structural information flows.
---
## 🔧 COMPREHENSIVE INPUT SYSTEM
### Core Parameters Group
**Primary Analysis Window (10-100, Default: 50)**
The fundamental lookback period affecting all calculations. Optimization by timeframe:
- **1-5 minute charts:** 20-30 (rapid adaptation to micro-movements)
- **15 minute-1 hour:** 30-50 (balanced responsiveness and stability)
- **4 hour-daily:** 50-100 (smooth signals, reduced noise)
- **Asset-specific:** Cryptocurrency 20-35, Stocks 35-50, Forex 40-60
**Signal Sensitivity (0.1-2.0, Default: 0.7)**
Master control affecting all threshold calculations:
- **Conservative (0.3-0.6):** High-quality signals only, fewer false positives
- **Balanced (0.7-1.0):** Optimal risk-reward ratio for most trading styles
- **Aggressive (1.1-2.0):** Maximum signal frequency, requires careful filtering
**Signal Generation Mode:**
- **Aggressive:** Any component signals (highest frequency)
- **Confluence:** 2+ components agree (balanced approach)
- **Conservative:** All 3 components align (highest quality)
### Volatility Jump Detection Group
**Volatility Dimensions (2-5, Default: 3)**
Determines the mathematical space complexity:
- **2D:** Price + Volume volatility (suitable for clean markets)
- **3D:** + Range volatility (optimal for most conditions)
- **4D:** + Correlation volatility (advanced multi-asset analysis)
- **5D:** + Microstructure volatility (maximum sensitivity)
**Jump Detection Threshold (1.5-4.0σ, Default: 3.0σ)**
Standard deviations required for volatility jump classification:
- **Cryptocurrency:** 2.0-2.5σ (naturally volatile)
- **Stock Indices:** 2.5-3.0σ (moderate volatility)
- **Forex Major Pairs:** 3.0-3.5σ (typically stable)
- **Commodities:** 2.0-3.0σ (varies by commodity)
**Jump Clustering Decay (0.5-0.99, Default: 0.85)**
Hawkes process memory parameter:
- **0.5-0.7:** Fast decay (jumps treated as independent)
- **0.8-0.9:** Moderate clustering (realistic market behavior)
- **0.95-0.99:** Strong clustering (crisis/event-driven markets)
### Hurst Exponent Analysis Group
**Calculation Method Options:**
- **Classic R/S:** Original Rescaled Range (fast, simple)
- **Adaptive R/S:** Dynamic windowing (recommended for trading)
- **DFA:** Detrended Fluctuation Analysis (best for noisy data)
**Trending Threshold (0.55-0.8, Default: 0.60)**
Hurst value defining persistent market behavior:
- **0.55-0.60:** Weak trend persistence
- **0.65-0.70:** Clear trending behavior
- **0.75-0.80:** Strong momentum regimes
**Mean Reversion Threshold (0.2-0.45, Default: 0.40)**
Hurst value defining anti-persistent behavior:
- **0.35-0.45:** Weak mean reversion
- **0.25-0.35:** Clear ranging behavior
- **0.15-0.25:** Strong reversion tendency
### Transfer Entropy Parameters Group
**Information Flow Analysis:**
- **Price-Volume:** Classic flow analysis for accumulation/distribution
- **Price-Volatility:** Risk flow analysis for sentiment shifts
- **Multi-Timeframe:** Cross-timeframe causality detection
**Maximum Lag (2-20, Default: 5)**
Causality detection window:
- **2-5 bars:** Immediate causality (scalping)
- **5-10 bars:** Short-term flow (day trading)
- **10-20 bars:** Structural flow (swing trading)
**Significance Threshold (0.05-0.3, Default: 0.15)**
Minimum entropy for signal generation:
- **0.05-0.10:** Detect subtle information flows
- **0.10-0.20:** Clear causality only
- **0.20-0.30:** Very strong flows only
---
## 🎨 ADVANCED VISUAL SYSTEM
### Tensor Volatility Field Visualization
**Five-Layer Resonance Bands:**
The tensor field creates dynamic support/resistance zones that expand and contract based on mathematical field strength:
- **Core Layer (Purple):** Primary tensor field with highest intensity
- **Layer 2 (Neutral):** Secondary mathematical resonance
- **Layer 3 (Info Blue):** Tertiary harmonic frequencies
- **Layer 4 (Warning Gold):** Outer field boundaries
- **Layer 5 (Success Green):** Maximum field extension
**Field Strength Calculation:**
```
Field Strength = min(3.0, Mahalanobis Distance × Tensor Intensity)
```
The field amplitude adjusts to ATR and mathematical distance, creating dynamic zones that respond to market volatility.
**Radiation Line Network:**
During active tensor states, the system projects directional radiation lines showing field energy distribution:
- **8 Directional Rays:** Complete angular coverage
- **Tapering Segments:** Progressive transparency for natural visual flow
- **Pulse Effects:** Enhanced visualization during volatility jumps
### Dimensional Portal System
**Portal Mathematics:**
Dimensional portals visualize regime transitions using category theory principles:
- **Green Portals (◉):** Trending regime detection (appear below price for support)
- **Red Portals (◎):** Mean-reverting regime (appear above price for resistance)
- **Yellow Portals (○):** Random walk regime (neutral positioning)
**Tensor Trail Effects:**
Each portal generates 8 trailing particles showing mathematical momentum:
- **Large Particles (●):** Strong mathematical signal
- **Medium Particles (◦):** Moderate signal strength
- **Small Particles (·):** Weak signal continuation
- **Micro Particles (˙):** Signal dissipation
### Information Flow Streams
**Particle Stream Visualization:**
Transfer entropy creates flowing particle streams indicating information direction:
- **Upward Streams:** Volume leading price (accumulation phases)
- **Downward Streams:** Price leading volume (distribution phases)
- **Stream Density:** Proportional to information flow strength
**15-Particle Evolution:**
Each stream contains 15 particles with progressive sizing and transparency, creating natural flow visualization that makes information transfer immediately apparent.
### Fractal Matrix Grid System
**Multi-Timeframe Fractal Levels:**
The system calculates and displays fractal highs/lows across five Fibonacci periods:
- **8-Period:** Short-term fractal structure
- **13-Period:** Intermediate-term patterns
- **21-Period:** Primary swing levels
- **34-Period:** Major structural levels
- **55-Period:** Long-term fractal boundaries
**Triple-Layer Visualization:**
Each fractal level uses three-layer rendering:
- **Shadow Layer:** Widest, darkest foundation (width 5)
- **Glow Layer:** Medium white core line (width 3)
- **Tensor Layer:** Dotted mathematical overlay (width 1)
**Intelligent Labeling System:**
Smart spacing prevents label overlap using ATR-based minimum distances. Labels include:
- **Fractal Period:** Time-based identification
- **Topological Class:** Mathematical complexity rating (0, I, II, III)
- **Price Level:** Exact fractal price
- **Mahalanobis Distance:** Current mathematical field strength
- **Hurst Exponent:** Current regime classification
- **Anomaly Indicators:** Visual strength representations (○ ◐ ● ⚡)
### Wick Pressure Analysis
**Rejection Level Mathematics:**
The system analyzes candle wick patterns to project future pressure zones:
- **Upper Wick Analysis:** Identifies selling pressure and resistance zones
- **Lower Wick Analysis:** Identifies buying pressure and support zones
- **Pressure Projection:** Extends lines forward based on mathematical probability
**Multi-Layer Glow Effects:**
Wick pressure lines use progressive transparency (1-8 layers) creating natural glow effects that make pressure zones immediately visible without cluttering the chart.
### Enhanced Regime Background
**Dynamic Intensity Mapping:**
Background colors reflect mathematical regime strength:
- **Deep Transparency (98% alpha):** Subtle regime indication
- **Pulse Intensity:** Based on regime strength calculation
- **Color Coding:** Green (trending), Red (mean-reverting), Neutral (random)
**Smoothing Integration:**
Regime changes incorporate 10-bar smoothing to prevent background flicker while maintaining responsiveness to genuine regime shifts.
### Color Scheme System
**Six Professional Themes:**
- **Dark (Default):** Professional trading environment optimization
- **Light:** High ambient light conditions
- **Classic:** Traditional technical analysis appearance
- **Neon:** High-contrast visibility for active trading
- **Neutral:** Minimal distraction focus
- **Bright:** Maximum visibility for complex setups
Each theme maintains mathematical accuracy while optimizing visual clarity for different trading environments and personal preferences.
---
## 📊 INSTITUTIONAL-GRADE DASHBOARD
### Tensor Field Status Section
**Field Strength Display:**
Real-time Mahalanobis distance calculation with dynamic emoji indicators:
- **⚡ (Lightning):** Extreme field strength (>1.5× threshold)
- **● (Solid Circle):** Strong field activity (>1.0× threshold)
- **○ (Open Circle):** Normal field state
**Signal Quality Rating:**
Democratic algorithm assessment:
- **ELITE:** All 3 components aligned (highest probability)
- **STRONG:** 2 components aligned (good probability)
- **GOOD:** 1 component active (moderate probability)
- **WEAK:** No clear component signals
**Threshold and Anomaly Monitoring:**
- **Threshold Display:** Current mathematical threshold setting
- **Anomaly Level (0-100%):** Combined volatility and volume spike measurement
- **>70%:** High anomaly (red warning)
- **30-70%:** Moderate anomaly (orange caution)
- **<30%:** Normal conditions (green confirmation)
### Tensor State Analysis Section
**Mathematical State Classification:**
- **↑ BULL (Tensor State +1):** Trending regime with bullish bias
- **↓ BEAR (Tensor State -1):** Mean-reverting regime with bearish bias
- **◈ SUPER (Tensor State 0):** Random walk regime (neutral)
**Visual State Gauge:**
Five-circle progression showing tensor field polarity:
- **🟢🟢🟢⚪⚪:** Strong bullish mathematical alignment
- **⚪⚪🟡⚪⚪:** Neutral/transitional state
- **⚪⚪🔴🔴🔴:** Strong bearish mathematical alignment
**Trend Direction and Phase Analysis:**
- **📈 BULL / 📉 BEAR / ➡️ NEUTRAL:** Primary trend classification
- **🌪️ CHAOS:** Extreme information flow (>2.0 flow strength)
- **⚡ ACTIVE:** Strong information flow (1.0-2.0 flow strength)
- **😴 CALM:** Low information flow (<1.0 flow strength)
### Trading Signals Section
**Real-Time Signal Status:**
- **🟢 ACTIVE / ⚪ INACTIVE:** Long signal availability
- **🔴 ACTIVE / ⚪ INACTIVE:** Short signal availability
- **Components (X/3):** Active algorithmic components
- **Mode Display:** Current signal generation mode
**Signal Strength Visualization:**
Color-coded component count:
- **Green:** 3/3 components (maximum confidence)
- **Aqua:** 2/3 components (good confidence)
- **Orange:** 1/3 components (moderate confidence)
- **Gray:** 0/3 components (no signals)
### Performance Metrics Section
**Win Rate Monitoring:**
Estimated win rates based on signal quality with emoji indicators:
- **🔥 (Fire):** ≥60% estimated win rate
- **👍 (Thumbs Up):** 45-59% estimated win rate
- **⚠️ (Warning):** <45% estimated win rate
**Mathematical Metrics:**
- **Hurst Exponent:** Real-time fractal dimension (0.000-1.000)
- **Information Flow:** Volume/price leading indicators
- **📊 VOL:** Volume leading price (accumulation/distribution)
- **💰 PRICE:** Price leading volume (momentum/speculation)
- **➖ NONE:** Balanced information flow
- **Volatility Classification:**
- **🔥 HIGH:** Above 1.5× jump threshold
- **📊 NORM:** Normal volatility range
- **😴 LOW:** Below 0.5× jump threshold
### Market Structure Section (Large Dashboard)
**Regime Classification:**
- **📈 TREND:** Hurst >0.6, momentum strategies optimal
- **🔄 REVERT:** Hurst <0.4, contrarian strategies optimal
- **🎲 RANDOM:** Hurst ≈0.5, breakout strategies preferred
**Mathematical Field Analysis:**
- **Dimensions:** Current volatility space complexity (2D-5D)
- **Hawkes λ (Lambda):** Self-exciting jump intensity (0.00-1.00)
- **Jump Status:** 🚨 JUMP (active) / ✅ NORM (normal)
### Settings Summary Section (Large Dashboard)
**Active Configuration Display:**
- **Sensitivity:** Current master sensitivity setting
- **Lookback:** Primary analysis window
- **Theme:** Active color scheme
- **Method:** Hurst calculation method (Classic R/S, Adaptive R/S, DFA)
**Dashboard Sizing Options:**
- **Small:** Essential metrics only (mobile/small screens)
- **Normal:** Balanced information density (standard desktop)
- **Large:** Maximum detail (multi-monitor setups)
**Position Options:**
- **Top Right:** Standard placement (avoids price action)
- **Top Left:** Wide chart optimization
- **Bottom Right:** Recent price focus (scalping)
- **Bottom Left:** Maximum price visibility (swing trading)
---
## 🎯 SIGNAL GENERATION LOGIC
### Multi-Component Convergence System
**Component Signal Architecture:**
The TMAE generates signals through sophisticated component analysis rather than simple threshold crossing:
**Volatility Component:**
- **Jump Detection:** Mahalanobis distance threshold breach
- **Hawkes Intensity:** Self-exciting process activation (>0.2)
- **Multi-dimensional:** Considers all volatility dimensions simultaneously
**Hurst Regime Component:**
- **Trending Markets:** Price above SMA-20 with positive momentum
- **Mean-Reverting Markets:** Price at Bollinger Band extremes
- **Random Markets:** Bollinger squeeze breakouts with directional confirmation
**Transfer Entropy Component:**
- **Volume Leadership:** Information flow from volume to price
- **Volume Spike:** Volume 110%+ above 20-period average
- **Flow Significance:** Above entropy threshold with directional bias
### Democratic Signal Weighting
**Signal Mode Implementation:**
- **Aggressive Mode:** Any single component triggers signal
- **Confluence Mode:** Minimum 2 components must agree
- **Conservative Mode:** All 3 components must align
**Momentum Confirmation:**
All signals require momentum confirmation:
- **Long Signals:** RSI >50 AND price >EMA-9
- **Short Signals:** RSI <50 AND price 0.6):**
- **Increase Sensitivity:** Catch momentum continuation
- **Lower Mean Reversion Threshold:** Avoid counter-trend signals
- **Emphasize Volume Leadership:** Institutional accumulation/distribution
- **Tensor Field Focus:** Use expansion for trend continuation
- **Signal Mode:** Aggressive or Confluence for trend following
**Range-Bound Markets (Hurst <0.4):**
- **Decrease Sensitivity:** Avoid false breakouts
- **Lower Trending Threshold:** Quick regime recognition
- **Focus on Price Leadership:** Retail sentiment extremes
- **Fractal Grid Emphasis:** Support/resistance trading
- **Signal Mode:** Conservative for high-probability reversals
**Volatile Markets (High Jump Frequency):**
- **Increase Hawkes Decay:** Recognize event clustering
- **Higher Jump Threshold:** Avoid noise signals
- **Maximum Dimensions:** Capture full volatility complexity
- **Reduce Position Sizing:** Risk management adaptation
- **Enhanced Visuals:** Maximum information for rapid decisions
**Low Volatility Markets (Low Jump Frequency):**
- **Decrease Jump Threshold:** Capture subtle movements
- **Lower Hawkes Decay:** Treat moves as independent
- **Reduce Dimensions:** Simplify analysis
- **Increase Position Sizing:** Capitalize on compressed volatility
- **Minimal Visuals:** Reduce distraction in quiet markets
---
## 🚀 ADVANCED TRADING STRATEGIES
### The Mathematical Convergence Method
**Entry Protocol:**
1. **Fractal Grid Approach:** Monitor price approaching significant fractal levels
2. **Tensor Field Confirmation:** Verify field expansion supporting direction
3. **Portal Signal:** Wait for dimensional portal appearance
4. **ELITE/STRONG Quality:** Only trade highest quality mathematical signals
5. **Component Consensus:** Confirm 2+ components agree in Confluence mode
**Example Implementation:**
- Price approaching 21-period fractal high
- Tensor field expanding upward (bullish mathematical alignment)
- Green portal appears below price (trending regime confirmation)
- ELITE quality signal with 3/3 components active
- Enter long position with stop below fractal level
**Risk Management:**
- **Stop Placement:** Below/above fractal level that generated signal
- **Position Sizing:** Based on Mahalanobis distance (higher distance = smaller size)
- **Profit Targets:** Next fractal level or tensor field resistance
### The Regime Transition Strategy
**Regime Change Detection:**
1. **Monitor Hurst Exponent:** Watch for persistent moves above/below thresholds
2. **Portal Color Change:** Regime transitions show different portal colors
3. **Background Intensity:** Increasing regime background intensity
4. **Mathematical Confirmation:** Wait for regime confirmation (hysteresis)
**Trading Implementation:**
- **Trending Transitions:** Trade momentum breakouts, follow trend
- **Mean Reversion Transitions:** Trade range boundaries, fade extremes
- **Random Transitions:** Trade breakouts with tight stops
**Advanced Techniques:**
- **Multi-Timeframe:** Confirm regime on higher timeframe
- **Early Entry:** Enter on regime transition rather than confirmation
- **Regime Strength:** Larger positions during strong regime signals
### The Information Flow Momentum Strategy
**Flow Detection Protocol:**
1. **Monitor Transfer Entropy:** Watch for significant information flow shifts
2. **Volume Leadership:** Strong edge when volume leads price
3. **Flow Acceleration:** Increasing flow strength indicates momentum
4. **Directional Confirmation:** Ensure flow aligns with intended trade direction
**Entry Signals:**
- **Volume → Price Flow:** Enter during accumulation/distribution phases
- **Price → Volume Flow:** Enter on momentum confirmation breaks
- **Flow Reversal:** Counter-trend entries when flow reverses
**Optimization:**
- **Scalping:** Use immediate flow detection (2-5 bar lag)
- **Swing Trading:** Use structural flow (10-20 bar lag)
- **Multi-Asset:** Compare flow between correlated assets
### The Tensor Field Expansion Strategy
**Field Mathematics:**
The tensor field expansion indicates mathematical pressure building in market structure:
**Expansion Phases:**
1. **Compression:** Field contracts, volatility decreases
2. **Tension Building:** Mathematical pressure accumulates
3. **Expansion:** Field expands rapidly with directional movement
4. **Resolution:** Field stabilizes at new equilibrium
**Trading Applications:**
- **Compression Trading:** Prepare for breakout during field contraction
- **Expansion Following:** Trade direction of field expansion
- **Reversion Trading:** Fade extreme field expansion
- **Multi-Dimensional:** Consider all field layers for confirmation
### The Hawkes Process Event Strategy
**Self-Exciting Jump Trading:**
Understanding that market shocks cluster and create follow-on opportunities:
**Jump Sequence Analysis:**
1. **Initial Jump:** First volatility jump detected
2. **Clustering Phase:** Hawkes intensity remains elevated
3. **Follow-On Opportunities:** Additional jumps more likely
4. **Decay Period:** Intensity gradually decreases
**Implementation:**
- **Jump Confirmation:** Wait for mathematical jump confirmation
- **Direction Assessment:** Use other components for direction
- **Clustering Trades:** Trade subsequent moves during high intensity
- **Decay Exit:** Exit positions as Hawkes intensity decays
### The Fractal Confluence System
**Multi-Timeframe Fractal Analysis:**
Combining fractal levels across different periods for high-probability zones:
**Confluence Zones:**
- **Double Confluence:** 2 fractal levels align
- **Triple Confluence:** 3+ fractal levels cluster
- **Mathematical Confirmation:** Tensor field supports the level
- **Information Flow:** Transfer entropy confirms direction
**Trading Protocol:**
1. **Identify Confluence:** Find 2+ fractal levels within 1 ATR
2. **Mathematical Support:** Verify tensor field alignment
3. **Signal Quality:** Wait for STRONG or ELITE signal
4. **Risk Definition:** Use fractal level for stop placement
5. **Profit Targeting:** Next major fractal confluence zone
---
## ⚠️ COMPREHENSIVE RISK MANAGEMENT
### Mathematical Position Sizing
**Mahalanobis Distance Integration:**
Position size should inversely correlate with mathematical field strength:
```
Position Size = Base Size × (Threshold / Mahalanobis Distance)
```
**Risk Scaling Matrix:**
- **Low Field Strength (<2.0):** Standard position sizing
- **Moderate Field Strength (2.0-3.0):** 75% position sizing
- **High Field Strength (3.0-4.0):** 50% position sizing
- **Extreme Field Strength (>4.0):** 25% position sizing or no trade
### Signal Quality Risk Adjustment
**Quality-Based Position Sizing:**
- **ELITE Signals:** 100% of planned position size
- **STRONG Signals:** 75% of planned position size
- **GOOD Signals:** 50% of planned position size
- **WEAK Signals:** No position or paper trading only
**Component Agreement Scaling:**
- **3/3 Components:** Full position size
- **2/3 Components:** 75% position size
- **1/3 Components:** 50% position size or skip trade
### Regime-Adaptive Risk Management
**Trending Market Risk:**
- **Wider Stops:** Allow for trend continuation
- **Trend Following:** Trade with regime direction
- **Higher Position Size:** Trend probability advantage
- **Momentum Stops:** Trail stops based on momentum indicators
**Mean-Reverting Market Risk:**
- **Tighter Stops:** Quick exits on trend continuation
- **Contrarian Positioning:** Trade against extremes
- **Smaller Position Size:** Higher reversal failure rate
- **Level-Based Stops:** Use fractal levels for stops
**Random Market Risk:**
- **Breakout Focus:** Trade only clear breakouts
- **Tight Initial Stops:** Quick exit if breakout fails
- **Reduced Frequency:** Skip marginal setups
- **Range-Based Targets:** Profit targets at range boundaries
### Volatility-Adaptive Risk Controls
**High Volatility Periods:**
- **Reduced Position Size:** Account for wider price swings
- **Wider Stops:** Avoid noise-based exits
- **Lower Frequency:** Skip marginal setups
- **Faster Exits:** Take profits more quickly
**Low Volatility Periods:**
- **Standard Position Size:** Normal risk parameters
- **Tighter Stops:** Take advantage of compressed ranges
- **Higher Frequency:** Trade more setups
- **Extended Targets:** Allow for compressed volatility expansion
### Multi-Timeframe Risk Alignment
**Higher Timeframe Trend:**
- **With Trend:** Standard or increased position size
- **Against Trend:** Reduced position size or skip
- **Neutral Trend:** Standard position size with tight management
**Risk Hierarchy:**
1. **Primary:** Current timeframe signal quality
2. **Secondary:** Higher timeframe trend alignment
3. **Tertiary:** Mathematical field strength
4. **Quaternary:** Market regime classification
---
## 📚 EDUCATIONAL VALUE AND MATHEMATICAL CONCEPTS
### Advanced Mathematical Concepts
**Tensor Analysis in Markets:**
The TMAE introduces traders to tensor analysis, a branch of mathematics typically reserved for physics and advanced engineering. Tensors provide a framework for understanding multi-dimensional market relationships that scalar and vector analysis cannot capture.
**Information Theory Applications:**
Transfer entropy implementation teaches traders about information flow in markets, a concept from information theory that quantifies directional causality between variables. This provides intuition about market microstructure and participant behavior.
**Fractal Geometry in Trading:**
The Hurst exponent calculation exposes traders to fractal geometry concepts, helping understand that markets exhibit self-similar patterns across multiple timeframes. This mathematical insight transforms how traders view market structure.
**Stochastic Process Theory:**
The Hawkes process implementation introduces concepts from stochastic process theory, specifically self-exciting point processes. This provides mathematical framework for understanding why market events cluster and exhibit memory effects.
### Learning Progressive Complexity
**Beginner Mathematical Concepts:**
- **Volatility Dimensions:** Understanding multi-dimensional analysis
- **Regime Classification:** Learning market personality types
- **Signal Democracy:** Algorithmic consensus building
- **Visual Mathematics:** Interpreting mathematical concepts visually
**Intermediate Mathematical Applications:**
- **Mahalanobis Distance:** Statistical distance in multi-dimensional space
- **Rescaled Range Analysis:** Fractal dimension measurement
- **Information Entropy:** Quantifying uncertainty and causality
- **Field Theory:** Understanding mathematical fields in market context
**Advanced Mathematical Integration:**
- **Tensor Field Dynamics:** Multi-dimensional market force analysis
- **Stochastic Self-Excitation:** Event clustering and memory effects
- **Categorical Composition:** Mathematical signal combination theory
- **Topological Market Analysis:** Understanding market shape and connectivity
### Practical Mathematical Intuition
**Developing Market Mathematics Intuition:**
The TMAE serves as a bridge between abstract mathematical concepts and practical trading applications. Traders develop intuitive understanding of:
- **How markets exhibit mathematical structure beneath apparent randomness**
- **Why multi-dimensional analysis reveals patterns invisible to single-variable approaches**
- **How information flows through markets in measurable, predictable ways**
- **Why mathematical models provide probabilistic edges rather than certainties**
---
## 🔬 IMPLEMENTATION AND OPTIMIZATION
### Getting Started Protocol
**Phase 1: Observation (Week 1)**
1. **Apply with defaults:** Use standard settings on your primary trading timeframe
2. **Study visual elements:** Learn to interpret tensor fields, portals, and streams
3. **Monitor dashboard:** Observe how metrics change with market conditions
4. **No trading:** Focus entirely on pattern recognition and understanding
**Phase 2: Pattern Recognition (Week 2-3)**
1. **Identify signal patterns:** Note what market conditions produce different signal qualities
2. **Regime correlation:** Observe how Hurst regimes affect signal performance
3. **Visual confirmation:** Learn to read tensor field expansion and portal signals
4. **Component analysis:** Understand which components drive signals in different markets
**Phase 3: Parameter Optimization (Week 4-5)**
1. **Asset-specific tuning:** Adjust parameters for your specific trading instrument
2. **Timeframe optimization:** Fine-tune for your preferred trading timeframe
3. **Sensitivity adjustment:** Balance signal frequency with quality
4. **Visual customization:** Optimize colors and intensity for your trading environment
**Phase 4: Live Implementation (Week 6+)**
1. **Paper trading:** Test signals with hypothetical trades
2. **Small position sizing:** Begin with minimal risk during learning phase
3. **Performance tracking:** Monitor actual vs. expected signal performance
4. **Continuous optimization:** Refine settings based on real performance data
### Performance Monitoring System
**Signal Quality Tracking:**
- **ELITE Signal Win Rate:** Track highest quality signals separately
- **Component Performance:** Monitor which components provide best signals
- **Regime Performance:** Analyze performance across different market regimes
- **Timeframe Analysis:** Compare performance across different session times
**Mathematical Metric Correlation:**
- **Field Strength vs. Performance:** Higher field strength should correlate with better performance
- **Component Agreement vs. Win Rate:** More component agreement should improve win rates
- **Regime Alignment vs. Success:** Trading with mathematical regime should outperform
### Continuous Optimization Process
**Monthly Review Protocol:**
1. **Performance Analysis:** Review win rates, profit factors, and maximum drawdown
2. **Parameter Assessment:** Evaluate if current settings remain optimal
3. **Market Adaptation:** Adjust for changes in market character or volatility
4. **Component Weighting:** Consider if certain components should receive more/less emphasis
**Quarterly Deep Analysis:**
1. **Mathematical Model Validation:** Verify that mathematical relationships remain valid
2. **Regime Distribution:** Analyze time spent in different market regimes
3. **Signal Evolution:** Track how signal characteristics change over time
4. **Correlation Analysis:** Monitor correlations between different mathematical components
---
## 🌟 UNIQUE INNOVATIONS AND CONTRIBUTIONS
### Revolutionary Mathematical Integration
**First-Ever Implementations:**
1. **Multi-Dimensional Volatility Tensor:** First indicator to implement true tensor analysis for market volatility
2. **Real-Time Hawkes Process:** First trading implementation of self-exciting point processes
3. **Transfer Entropy Trading Signals:** First practical application of information theory for trade generation
4. **Democratic Component Voting:** First algorithmic consensus system for signal generation
5. **Fractal-Projected Signal Quality:** First system to predict signal quality at future price levels
### Advanced Visualization Innovations
**Mathematical Visualization Breakthroughs:**
- **Tensor Field Radiation:** Visual representation of mathematical field energy
- **Dimensional Portal System:** Category theory visualization for regime transitions
- **Information Flow Streams:** Real-time visual display of market information transfer
- **Multi-Layer Fractal Grid:** Intelligent spacing and projection system
- **Regime Intensity Mapping:** Dynamic background showing mathematical regime strength
### Practical Trading Innovations
**Trading System Advances:**
- **Quality-Weighted Signal Generation:** Signals rated by mathematical confidence
- **Regime-Adaptive Strategy Selection:** Automatic strategy optimization based on market personality
- **Anti-Spam Signal Protection:** Mathematical prevention of signal clustering
- **Component Performance Tracking:** Real-time monitoring of algorithmic component success
- **Field-Strength Position Sizing:** Mathematical volatility integration for risk management
---
## ⚖️ RESPONSIBLE USAGE AND LIMITATIONS
### Mathematical Model Limitations
**Understanding Model Boundaries:**
While the TMAE implements sophisticated mathematical concepts, traders must understand fundamental limitations:
- **Markets Are Not Purely Mathematical:** Human psychology, news events, and fundamental factors create unpredictable elements
- **Past Performance Limitations:** Mathematical relationships that worked historically may not persist indefinitely
- **Model Risk:** Complex models can fail during unprecedented market conditions
- **Overfitting Potential:** Highly optimized parameters may not generalize to future market conditions
### Proper Implementation Guidelines
**Risk Management Requirements:**
- **Never Risk More Than 2% Per Trade:** Regardless of signal quality
- **Diversification Mandatory:** Don't rely solely on mathematical signals
- **Position Sizing Discipline:** Use mathematical field strength for sizing, not confidence
- **Stop Loss Non-Negotiable:** Every trade must have predefined risk parameters
**Realistic Expectations:**
- **Mathematical Edge, Not Certainty:** The indicator provides probabilistic advantages, not guaranteed outcomes
- **Learning Curve Required:** Complex mathematical concepts require time to master
- **Market Adaptation Necessary:** Parameters must evolve with changing market conditions
- **Continuous Education Important:** Understanding underlying mathematics improves application
### Ethical Trading Considerations
**Market Impact Awareness:**
- **Information Asymmetry:** Advanced mathematical analysis may provide advantages over other market participants
- **Position Size Responsibility:** Large positions based on mathematical signals can impact market structure
- **Sharing Knowledge:** Consider educational contributions to trading community
- **Fair Market Participation:** Use mathematical advantages responsibly within market framework
### Professional Development Path
**Skill Development Sequence:**
1. **Basic Mathematical Literacy:** Understand fundamental concepts before advanced application
2. **Risk Management Mastery:** Develop disciplined risk control before relying on complex signals
3. **Market Psychology Understanding:** Combine mathematical analysis with behavioral market insights
4. **Continuous Learning:** Stay updated on mathematical finance developments and market evolution
---
## 🔮 CONCLUSION
The Tensor Market Analysis Engine represents a quantum leap forward in technical analysis, successfully bridging the gap between advanced pure mathematics and practical trading applications. By integrating multi-dimensional volatility analysis, fractal market theory, and information flow dynamics, the TMAE reveals market structure invisible to conventional analysis while maintaining visual clarity and practical usability.
### Mathematical Innovation Legacy
This indicator establishes new paradigms in technical analysis:
- **Tensor analysis for market volatility understanding**
- **Stochastic self-excitation for event clustering prediction**
- **Information theory for causality-based trade generation**
- **Democratic algorithmic consensus for signal quality enhancement**
- **Mathematical field visualization for intuitive market understanding**
### Practical Trading Revolution
Beyond mathematical innovation, the TMAE transforms practical trading:
- **Quality-rated signals replace binary buy/sell decisions**
- **Regime-adaptive strategies automatically optimize for market personality**
- **Multi-dimensional risk management integrates mathematical volatility measures**
- **Visual mathematical concepts make complex analysis immediately interpretable**
- **Educational value creates lasting improvement in trading understanding**
### Future-Proof Design
The mathematical foundations ensure lasting relevance:
- **Universal mathematical principles transcend market evolution**
- **Multi-dimensional analysis adapts to new market structures**
- **Regime detection automatically adjusts to changing market personalities**
- **Component democracy allows for future algorithmic additions**
- **Mathematical visualization scales with increasing market complexity**
### Commitment to Excellence
The TMAE represents more than an indicator—it embodies a philosophy of bringing rigorous mathematical analysis to trading while maintaining practical utility and visual elegance. Every component, from the multi-dimensional tensor fields to the democratic signal generation, reflects a commitment to mathematical accuracy, trading practicality, and educational value.
### Trading with Mathematical Precision
In an era where markets grow increasingly complex and computational, the TMAE provides traders with mathematical tools previously available only to institutional quantitative research teams. Yet unlike academic mathematical models, the TMAE translates complex concepts into intuitive visual representations and practical trading signals.
By combining the mathematical rigor of tensor analysis, the statistical power of multi-dimensional volatility modeling, and the information-theoretic insights of transfer entropy, traders gain unprecedented insight into market structure and dynamics.
### Final Perspective
Markets, like nature, exhibit profound mathematical beauty beneath apparent chaos. The Tensor Market Analysis Engine serves as a mathematical lens that reveals this hidden order, transforming how traders perceive and interact with market structure.
Through mathematical precision, visual elegance, and practical utility, the TMAE empowers traders to see beyond the noise and trade with the confidence that comes from understanding the mathematical principles governing market behavior.
Trade with mathematical insight. Trade with the power of tensors. Trade with the TMAE.
*"In mathematics, you don't understand things. You just get used to them." - John von Neumann*
*With the TMAE, mathematical market understanding becomes not just possible, but intuitive.*
— Dskyz, Trade with insight. Trade with anticipation.
Timeframe Resistance Evaluation And Detection - CoffeeKillerTREAD - Timeframe Resistance Evaluation And Detection Guide
🔔 Important Technical Limitation 🔔
**This indicator does NOT fetch true higher timeframe data.** Instead, it simulates higher timeframe levels by aggregating data from your current chart timeframe. This means:
- Results will vary depending on what chart timeframe you're viewing
- Levels may not match actual higher timeframe candle highs/lows
- You might miss important wicks or gaps that occurred between chart timeframe bars
- **Always verify levels against actual higher timeframe charts before trading**
Welcome traders! This guide will walk you through the TREAD (Timeframe Resistance Evaluation And Detection) indicator, a multi-timeframe analysis tool developed by CoffeeKiller that identifies support and resistance confluence across different time periods.(I am 50+ year old trader and always thought I was bad a teaching and explaining so you get a AI guide. I personally use this on the 5 minute chart with the default settings, but to each there own and if you can improve the trend detection methods please DM me. I would like to see the code. Thanks)
Core Components
1. Dual Timeframe Level Tracking
- Short Timeframe Levels: Tracks opening price extremes within shorter periods
- Long Timeframe Levels: Tracks actual high/low extremes within longer periods
- Dynamic Reset Mechanism: Levels reset at the start of each new timeframe period
- Momentum Detection: Identifies when levels change mid-period, indicating active price movement
2. Visual Zone System
- High Zones: Areas between long timeframe highs and short timeframe highs
- Low Zones: Areas between long timeframe lows and short timeframe lows
- Fill Coloring: Dynamic colors based on whether levels are static or actively changing
- Momentum Highlighting: Special colors when levels break during active periods
3. Customizable Display Options
- Multiple Plot Styles: Line, circles, or cross markers
- Flexible Timeframe Selection: Wide range of short and long timeframe combinations
- Color Customization: Separate colors for each level type and momentum state
- Toggle Controls: Show/hide different elements based on trading preference
Main Features
Timeframe Settings
- Short Timeframe Options: 15m, 30m, 1h, 2h, 4h
- Long Timeframe Options: 1h, 2h, 4h, 8h, 12h, 1D, 1W
- Recommended Combinations:
- Scalping: 15m/1h or 30m/2h
- Day Trading: 30m/4h or 1h/4h
- Swing Trading: 4h/1D or 1D/1W
Display Configuration
- Level Visibility: Toggle short/long timeframe levels independently
- Fill Zone Control: Enable/disable colored zones between levels
- Momentum Fills: Special highlighting for actively changing levels
- Line Customization: Width, style, and color options for all elements
Color System
- Short TF High: Default red for resistance levels
- Short TF Low: Default green for support levels
- Long TF High: Transparent red for broader resistance context
- Long TF Low: Transparent green for broader support context
- Momentum Colors: Brighter colors when levels are actively changing
Technical Implementation Details
How Level Tracking Works
The indicator uses a custom tracking function that:
1. Detects Timeframe Periods: Uses `time()` function to identify when new periods begin
2. Tracks Extremes: Monitors highest/lowest values within each period
3. Resets on New Periods: Clears tracking when timeframe periods change
4. Updates Mid-Period: Continues tracking if new extremes are reached
The Timeframe Limitation Explained
`pinescript
// What the indicator does:
short_tf_start = ta.change(time(short_timeframe)) != 0 // Detects 30m period start
= track_highest(open, short_tf_start) // BUT uses chart TF opens!
// What true multi-timeframe would be:
// short_tf_high = request.security(syminfo.tickerid, short_timeframe, high)
`
This means:
- On a 5m chart with 30m/4h settings: Tracks 5m bar opens during 30m and 4h windows
- On a 1m chart with same settings: Tracks 1m bar opens during 30m and 4h windows
- Results will be different between chart timeframes
- May miss important price action that occurred between your chart's bars
Visual Elements
1. Level Lines
- Short TF High: Upper resistance line from shorter timeframe analysis
- Short TF Low: Lower support line from shorter timeframe analysis
- Long TF High: Broader resistance context from longer timeframe
- Long TF Low: Broader support context from longer timeframe
2. Zone Fills
- High Zone: Area between long TF high and short TF high (potential resistance cluster)
- Low Zone: Area between long TF low and short TF low (potential support cluster)
- Regular Fill: Standard transparency when levels are static
- Momentum Fill: Enhanced visibility when levels are actively changing
3. Dynamic Coloring
- Static Periods: Normal colors when levels haven't changed recently
- Active Periods: Momentum colors when levels are being tested/broken
- Confluence Zones: Different intensities based on timeframe alignment
Trading Applications
1. Support/Resistance Trading
- Entry Points: Trade bounces from zone boundaries
- Confluence Areas: Focus on areas where short and long TF levels cluster
- Zone Breaks: Enter on confirmed breaks through entire zones
- Multiple Timeframe Confirmation: Stronger signals when both timeframes align
2. Range Trading
- Zone Boundaries: Use fill zones as range extremes
- Mean Reversion: Trade back toward opposite zone when price reaches extremes
- Breakout Preparation: Watch for momentum color changes indicating potential breakouts
- Risk Management: Place stops outside the opposite zone
3. Trend Following
- Direction Bias: Trade in direction of zone breaks
- Pullback Entries: Enter on pullbacks to broken zones (now support/resistance)
- Momentum Confirmation: Use momentum coloring to confirm trend strength
- Multiple Timeframe Alignment: Strongest trends when both timeframes agree
4. Scalping Applications
- Quick Bounces: Trade rapid moves between zone boundaries
- Momentum Signals: Enter when momentum colors appear
- Short-Term Targets: Use opposite zone as profit target
- Tight Stops: Place stops just outside current zone
Optimization Guide
1. Timeframe Selection
For Different Trading Styles:
- Scalping: 15m/1h - Quick levels, frequent updates
- Day Trading: 30m/4h - Balanced view, good for intraday moves
- Swing Trading: 4h/1D - Longer-term perspective, fewer false signals
- Position Trading: 1D/1W - Major structural levels
2. Chart Timeframe Considerations
**Important**: Your chart timeframe affects results
- Lower Chart TF: More granular level tracking, but may be noisy
- Higher Chart TF: Smoother levels, but may miss important price action
- Recommended: Use chart timeframe 2-4x smaller than short indicator timeframe
3. Display Settings
- Busy Charts: Disable fills, show only key levels
- Clean Analysis: Enable all fills and momentum coloring
- Multi-Monitor Setup: Use different color schemes for easy identification
- Mobile Trading: Increase line width for visibility
Best Practices
1. Level Verification
- Always Cross-Check: Verify levels against actual higher timeframe charts
- Multiple Timeframes: Check 2-3 different chart timeframes for consistency
- Price Action Confirmation: Wait for candlestick confirmation at levels
- Volume Analysis: Combine with volume for stronger confirmation
2. Risk Management
- Stop Placement: Use zones rather than exact prices for stops
- Position Sizing: Reduce size when zones are narrow (higher risk)
- Multiple Targets: Scale out at different zone boundaries
- False Break Protection: Allow for minor zone penetrations
3. Signal Quality Assessment
- Momentum Colors: Higher probability when momentum coloring appears
- Zone Width: Wider zones often provide stronger support/resistance
- Historical Testing: Backtest on your preferred timeframe combinations
- Market Conditions: Adjust sensitivity based on volatility
Advanced Features
1. Momentum Detection System
The indicator tracks when levels change mid-period:
`pinescript
short_high_changed = short_high != short_high and not short_tf_start
`
This identifies:
- Active level testing
- Potential breakout situations
- Increased market volatility
- Trend acceleration points
2. Dynamic Color System
Complex conditional logic determines fill colors:
- Static Zones: Regular transparency for stable levels
- Active Zones: Enhanced colors for changing levels
- Mixed States: Different combinations based on user preferences
- Custom Overrides: User can prioritize certain color schemes
3. Zone Interaction Analysis
- Convergence: When short and long TF levels approach each other
- Divergence: When timeframes show conflicting levels
- Alignment: When both timeframes agree on direction
- Transition: When one timeframe changes while other remains static
Common Issues and Solutions
1. Inconsistent Levels
Problem: Levels look different on various chart timeframes
Solution: Always verify against actual higher timeframe charts
2. Missing Price Action
Problem: Important wicks or gaps not reflected in levels
Solution: Use chart timeframe closer to indicator's short timeframe setting
3. Too Many Signals
Problem: Excessive level changes and momentum alerts
Solution: Increase timeframe settings or reduce chart timeframe granularity
4. Lagging Signals
Problem: Levels seem to update too slowly
Solution: Decrease chart timeframe or use more sensitive timeframe combinations
Recommended Setups
Conservative Approach
- Timeframes: 4h/1D
- Chart: 1h
- Display: Show fills only, no momentum coloring
- Use: Swing trading, position management
Aggressive Approach
- Timeframes: 15m/1h
- Chart: 5m
- Display: All features enabled, momentum highlighting
- Use: Scalping, quick reversal trades
Balanced Approach
- Timeframes: 30m/4h
- Chart: 15m
- Display: Selective fills, momentum on key levels
- Use: Day trading, multi-session analysis
Final Notes
**Remember**: This indicator provides a synthetic view of multi-timeframe levels, not true higher timeframe data. While useful for identifying potential confluence areas, always verify important levels by checking actual higher timeframe charts.
**Best Results When**:
- Combined with actual multi-timeframe analysis
- Used for confluence confirmation rather than primary signals
- Applied with proper risk management
- Verified against price action and volume
**DISCLAIMER**: This indicator and its signals are intended solely for educational and informational purposes. The timeframe limitation means results may not reflect true higher timeframe levels. Always conduct your own analysis and verify levels independently before making trading decisions. Trading involves significant risk of loss.
Sessions [Plug&Play]This indicator automatically highlights the three major FX trading sessions—Asia, London, and New York—on your chart and, at the close of each session, draws right-extended horizontal rays at that session’s high and low. It’s designed to help you visually identify when price is trading within each session’s range and to quickly see where the highest and lowest prices occurred before the next major session begins.
Key Features:
Session Boxes
Draws a semi-transparent box around each session’s timeframe (Asia, London, New York) based on your local UTC offset.
Each box dynamically expands in real time: as new candles form during the session, the box’s top and bottom edges update to match the highest high and lowest low seen so far in that session.
When the session ends, the box remains on your chart, anchored to the exact candles that formed its boundaries.
High/Low Rays
As soon as a session closes (e.g., London session ends at 17:00 UTC+0 by default), two horizontal rays are drawn at that session’s final high and low.
These rays are “pinned” to the exact candles where the high/low occurred, so they stay in place when you scroll or zoom.
Each ray extends indefinitely to the right, providing a clear reference of the key supply/demand levels created during that session.
Session Labels
Optionally places a small “London,” “New York,” or “Asia” label at the top edge of each completed session’s box.
Labels are horizontally centered within the session’s box and use a contrasting, easy-to-read font color.
Customizable Appearance
Show/Hide Each Session: Toggle display of London, New York, and Asia sessions separately.
Time Ranges: By default, London is 08:00–17:00 (UTC), New York is 13:00–22:00 (UTC), and Asia is 00:00–07:00 (UTC). You can override each session’s start/end times using the “Time Range” picker.
Color & Opacity: Assign custom colors to each session. Choose a global “Dark,” “Medium,” or “Light” opacity preset to adjust box fill transparency and border shading.
Show/Hide Labels & Outlines: Turn the text labels and the box borders on or off independently.
UTC Offset Support
If your local broker feed or price data is not in UTC, simply adjust the “UTC Offset (+/–)” input. The indicator will recalculate session start/end times relative to your chosen offset.
How to Use:
Add the Indicator:
Open TradingView’s Pine Editor, paste in this script, and click “Add to Chart.”
By default, you’ll see three translucent boxes appear once each session begins (Asia, London, New York).
Watch in Real Time:
As soon as a session starts, its box will appear anchored to the first candle. The top and bottom of the box expand if new extremes occur.
When the session closes, the final box remains visible and two horizontal rays mark that session’s high and low.
Analyze Key Levels:
Use the high- and low-level rays to gauge session liquidity zones—areas where stop orders, breakouts, or reversals often occur.
For example, if London’s high is significantly above current price, it may act as resistance in the New York session.
Customize to Your Needs:
Toggle specific sessions on/off (e.g., if you only care about London and New York).
Change each session’s color to match your chart theme.
Adjust the “UTC Offset” so sessions align with your local time.
Disable labels or box borders if you prefer a cleaner look.
Inputs Overview:
Show London/New York/Asia Session (bool): Show or hide each session’s box and its high/low rays.
Time Range (session): Defines the start/end of each session in “HHMM–HHMM” (24h) format.
Colour (color): Custom color for each session’s box fill, border, and high/low rays.
Show Session Labels (bool): Toggle the “London,” “New York,” “Asia” text that appears at the top of each completed box.
Show Range Outline (bool): Toggle the box border (if off, only a translucent fill is drawn).
Opacity Preset (Dark/Medium/Light): Controls transparency of box fill and border.
UTC Offset (+/–) (int): Adjusts session times for different time zones (e.g., +1 for UTC+1).
Why It’s Useful:
Quickly Identify Session Activity: Visually distinguish when each major trading session is active, then compare price action across sessions.
Pinpoint High/Low Liquidity Levels: Drawn rays highlight where the market hit its extremes—critical zones for stop orders or breakout entries.
Multi-Timeframe Context: By seeing historical session boxes and rays, you can locate recurring supply/demand areas, overlap zones, or session re-tests.
Fully Automated Workflow: Once added to your chart, the script does all the work of tracking session boundaries and drawing high/low lines—no manual box or line drawing necessary.
Example Use Cases:
London Breakout Traders: See where London’s high/low formed, then wait for price to revisit those levels during the New York session.
Range Breakout Strategies: If price consolidates inside the London box, use the boxed extremes as immediate targets for breakout entries.
Intraday Liquidity Swings: During quieter hours, watch Asia’s high/low to identify potential support/resistance before London’s opening.
Overlap Zones: Compare London’s range with Asia’s range to find areas of confluence—high-probability reversal or continuation zones.
PoiBox# PoiBox: Advanced Market Structure and POI Visualization Tool
PoiBox is a comprehensive market structure analysis tool designed to identify high-probability trading zones through advanced internal market structure (IDM) detection and points of interest (POI) calculation.
## How It Works
The indicator uses a multi-step approach to analyze price action:
1. **Market Structure Identification**: The script identifies significant highs and lows within your selected time range to determine the overall market structure direction (up or down).
2. **IDM Pattern Detection**: It then analyzes internal market structure patterns within this range, focusing on significant price movements that create trading opportunities.
3. **POI Calculation**: Using adaptive ATR measurements across multiple timeframes, the indicator calculates precise POI zones where price is likely to react. These zones are calibrated based on the volatility profile of each identified structure.
4. **Timeframe Correlation**: The script automatically determines which timeframe best matches each structure's size, providing valuable context for your trading decisions.
5. **Technical Implementation**: The indicator uses a sophisticated algorithm to analyze price swings, identify pivot points, and calculate market structure connections. It maintains a database of significant highs/lows and uses these to determine trend direction and potential reversal zones.
## Display Modes
PoiBox offers three powerful display options:
- **Main BOS**: Shows only the most significant breakout structure with its associated POI zone
- **Leg**: Displays the largest price leg within the selected range along with percentage-based POI zones
- **All IDMs**: Reveals all detected internal market structures and their POI zones
## Advanced Features
- **QM Mode**: Visualizes important market structure relationships with dashed lines connecting significant highs and lows
- **Trick Display**: Identifies nested market structures (tricks) within larger patterns, perfect for precision entries
- **Customizable POI Labels**: Control which price labels appear to maintain chart clarity
- **Extensive Color Settings**: Fully customizable colors for all visual elements
- **Safety Functions**: Includes built-in buffer management and error prevention algorithms to ensure stable performance across all timeframes and market conditions
## Trading Examples
**Downtrend Example:**
When PoiBox identifies a downtrend structure (Higher High → High → Low → Lower Low), it creates POI zones based on the market structure. As shown in the chart, these zones provide excellent entry opportunities when price returns to test previous structure. In this example, entering at the red POI zone with a stop above the zone and target at the QM level resulted in a 3.45 risk/reward trade.
**How to Read QM Lines:**
The dashed lines connecting High → Low → Higher High → Lower Low reveal the market's true structure. These connections help you anticipate where price might head next. When price breaks below a significant Low and creates a Lower Low, it confirms the downtrend continuation and provides a trading opportunity when price retests the broken structure.
**POI Zone Interpretation:**
- Red zones indicate bearish POI areas (ideal for short entries)
- Green zones indicate bullish POI areas (ideal for long entries)
- Yellow zones highlight the identified market structure
## Practical Application Example
In the GBP/USD example shown in the chart:
1. PoiBox identified a downtrend structure with Higher High → High → Low → Lower Low
2. The yellow box shows the main market structure area
3. The red POI zone appeared when price returned to test previous structure
4. Entry was taken at the POI zone with stop loss above structure
5. Target was placed at the QM level, resulting in a 3.45 risk/reward ratio trade
6. The dashed QM lines showed the overall market flow and direction
This demonstrates how PoiBox automatically identifies optimal entry and exit points based on market structure, without requiring manual analysis of each price swing.
## Mathematical Approach
PoiBox uses several mathematical concepts to determine market structure and calculate POI zones:
1. **Adaptive ATR Integration**: The script analyzes ATR (Average True Range) across multiple timeframes (M1, M5, M15, H1, H4, D1, W1, MN1) to determine the appropriate volatility context for each structure.
2. **Height-to-ATR Ratio**: The indicator calculates the ratio between structure height and the closest matching ATR value to determine the structure's timeframe context.
3. **Dynamic POI Calculation**: POI values are calculated using the formula:
`POI = factor * (atr_trigger + atr_double_trigger)`
where `factor` is derived from the structure's height-to-ATR ratio.
4. **Self-Adjusting Limits**: If the calculated POI value exceeds certain thresholds relative to structure height, the script automatically applies proportional adjustments to maintain optimal zone sizing.
## What Makes PoiBox Unique
While many indicators use common concepts like support/resistance or trend analysis, PoiBox stands apart through its:
1. **Adaptive POI Calculation**: Unlike static indicators, PoiBox automatically calibrates POI zones based on each market structure's volatility profile by analyzing ATR across multiple timeframes.
2. **Smart Timeframe Detection**: The indicator automatically determines the most relevant timeframe for each structure, eliminating guesswork and helping you align your trading with the appropriate market cycles.
3. **QM Visualization System**: Our proprietary QM visualization method reveals hidden market structure relationships that standard indicators cannot detect, giving you an edge in anticipating price movements.
4. **Nested Pattern Recognition**: The "Trick" detection feature identifies high-probability setups where smaller patterns form within larger ones, creating precise entry opportunities missed by conventional tools.
5. **Self-Adjusting Analysis**: PoiBox dynamically adapts to changing market conditions without requiring manual parameter adjustments, saving you time and increasing accuracy.
These innovations combine to create a truly original trading system that transforms complex market structure concepts into clear, actionable signals.
## How To Use
1. Define your analysis area using the time range selectors (X1 and X2)
2. Choose your preferred display mode based on your trading style
3. Enable QM Mode for additional market structure context if needed
4. Use the POI zones as potential entry and exit areas for your trades
5. Reference the automatically detected timeframe indicators to align your trading with the appropriate timeframe
### Settings Explanation
**Display Settings:**
- Display Mode: Choose between Main BOS, Leg, or All IDMs visualization
- QM Mode: Enable to see market structure connections with dashed lines
**Trick Settings:**
- Trick Display: Show the main trick or all nested patterns
- Trick POI: Control which POI zones appear for trick patterns
**Label Settings:**
- Leg POI %: Customize percentage-based POI zones in Leg mode
- POI Labels: Control which price labels appear on your chart
**Time Range:**
- X1 and X2: Define the analysis area for market structure detection
**Colors:**
- TF Color: Color for timeframe labels
- H/L Color: Color for high/low labels
- QM Lines: Color for market structure connection lines
- Trick Color: Color for nested pattern visualization
This indicator is designed for traders who understand market structure concepts and want a powerful tool that automatically identifies high-probability trading zones based on structural price patterns and volatility-adjusted measurements.
ICT Killzones Bias & Volume Sweeps @MaxMaserati📌 Overview
This indicator helps traders identify key ICT Killzones (Asian, London, NY AM, NY PM sessions) along with volume analysis and sweep detection. It highlights institutional order blocks, tracks session bias, and detects liquidity sweeps with volume confirmation.
Key Features:
✅ ICT Killzones (Asian, London, NY AM, NY PM)
✅ Volume Analysis (High/Low volume detection)
✅ Sweep Detection (Buyside/Sellside sweeps with volume confirmation)
✅ Session Bias (Bullish/Bearish bias based on price action)
✅ Customizable Sessions (Add personal trading hours)
✅ Institutional Order Build-up (30-min pre-session accumulation zones)
⚙️ Input Settings
1. Timezone Settings
Chart Timezone: Adjust to your local timezone (default: New York).
2. Session Toggles
Asian / London / NY AM / NY PM Sessions: Enable/disable each session.
NY Lunch Session: Optional session (disabled by default).
Personal Trading Time: Customize your trading hours.
3. Label Settings
Label Size: Tiny, Small, Normal, Large.
Session Labels: Customize text for High (H), Low (L), Mid (M) labels.
Background Transparency: Adjust session box opacity.
4. Volume Analysis
Show Volume Labels: Displays volume strength (🚀 Very High, 🔥 High, ⚖️ Normal, 💤 Low, 🐢 Very Low).
Volume Lookback Period: Adjusts volume comparison window.
High/Low Volume Thresholds: Define what constitutes high/low volume.
5. Sweep Detection
Buyside/Sellside Sweeps: Highlights liquidity sweeps.
Sweep Margin: Adjust sensitivity for sweep detection.
Fake Sweep Zones: Option to hide or highlight fakeouts.
Example of Session Sweep and Volume:
Here we have a Bullish Sweep of London Low session by NY AM
However, the volume was low suggesting buyers are not strong enough (M1)
And then the sellers took over and a pressure retest by the buyers of the level and then sellers entered with more power/pressure
6. Session Momentum & Bias
Show Session Bias: Indicates bullish/bearish bias for each session.
Bias Strength Threshold: Adjust sensitivity for bias detection.
📊 How It Works
1. Session Highs/Lows
The indicator tracks High, Low, and Mid prices for each session.
Lines and boxes are drawn to visualize the session range.
2. Volume Analysis
Compares current volume to historical average.
Displays volume strength with emojis (🚀, 🔥, ⚖️, 💤, 🐢).
Highlights high-volume sweeps for confirmation.
3. Sweep Detection
Detects buyside sweeps (liquidity above highs) and sellside sweeps (liquidity below lows).
Sweep zones expand if price lingers near the swept level.
4. 30 minute Pre-session Institutional order buildup
Highlights 30-minute pre-session zones where institutions may accumulate orders.
5. Session Bias
Calculates bias based on open/close price action within the session.
Displays Bullish, Bearish, or Neutral labels.
]
🎯 Trading Applications
1. Liquidity Sweeps
Look for sweeps with high volume as confirmation of institutional activity.
Fade fake sweeps (if enabled) when price reverses quickly.
2. Session Breakouts
Trade breakouts from Asian/London ranges during NY sessions.
Watch for volume expansion on breakouts for confirmation.
3. Pre- Session Institutional Block
Price often reacts to pre-session institutional position build-up (30-min before session opens).
LV:Low Volume, HV: High volume and MV: Medium Volume
NY AM Pre-Session institutional Order Build-up block with high sweep
🔧 Customization Tips
Adjust session times to normal future sessions to match your trading style.
Modify sweep sensitivity if too many/too few sweeps are detected.
Use volume thresholds to fine-tune high/low volume alerts.
📌 Final Notes
This indicator combines ICT concepts with volume analysis for a powerful trading edge. Use it alongside price action and market structure for best results at your own risk.
