Neglected Volume by DGTVolume is one piece of information that is often neglected, however, learning to interpret volume brings many advantages and could be of tremendous help when it comes to analyzing the markets. In addition to technicians, fundamental investors also take notice of the numbers of shares traded for a given security.
What is Volume?
The volume represents all the recorded trades for a security that occurs in a given time interval. It is a measurement of the participation, enthusiasm, and interest in a given security. Think of volume as the force that drives the market. Volume substantiates, energizes, and empowers price. When volume increases, it confirms price direction; when volume decreases, it contradicts price direction.
In theory, increases in volume generally precede significant price movements. However, If the price is rising in an uptrend but the volume is reducing or unchanged, it may show that there’s little interest in the security, and the price may reverse.
A high volume usually indicates more interest in the security and the presence of institutional traders. However, a rapidly rising price in an uptrend accompanied by a huge volume may be a sign of exhaustion.
Traders usually look for breaks of support and resistance to enter positions. When security break critical levels without volume, you should consider the breakout suspect and prime for a reversal off the highs/lows
Volume spikes are often the result of news-driven events. Volume spike will often lead to sharp reversals since the moves are unsustainable due to the imbalance of supply and demand
note : there’s no centralized exchange where trades are recorded, so the volume data represents what happens at a particular exchange only
In most charting platforms, the volume indicator is presented as color-coded bars, green if the security closes up and red if the security closed lower, where the height of the bars show the amount of the recorded trades
Within this study, Relative Volume , Volume Weighted Bars and Volume Moving Average are presented, where Relative Volume relates current trading volume to past trading volume over long period, Volume Weighted Bars presents price bars colored based on short period past trading volume average, and Volume Moving Average is average of volume over shot period
Relative Volume is presented as color-coded bars similar to regular Volume indicator but uses four color codes instead two. Notable increases of volume are presented in green and red while average values with back and gray, hence adding ability to emphasis notable increases in the volume. It is kind of a like a radar for how "in-play" a security is. Users are allowed to change the threshold, default value is set to Fibonacci golden ration standard deviation away from its moving average.
Volume Weighted Bars, a study of Kıvanç Özbilgiç, aims to present if price movements are supported by Volume. Volume Weighted Bars are calculated based on shot period volume moving average which will reflect more recent changes in volume. Price actions with high volume will be displayed with darker colors, average volume values will remain as they are and low volume values will be indicated with lighter colors.
Volume Moving Average, Is short period volume moving average, aims to display visually the volume changes. Please not that Relative Volume bars are calculated based on standard deviation of long volume moving average.
What Else?
Apart from the volume itself, your ability to assess what volume is telling you in conjunction with price action can be a key factor in your ability to turn a profit in the market. It makes little sense to analyze the volume alone. To correctly interpret the volume data, it shall be seen in the light of what the price is doing. there are a lot of other indicators that are based on the volume data as well as price action. Analysing those volume indicators has always helped traders and investors to better understand what is happening in the market.
Here are the ones adapted with this study. Some of them used as a source for our aim, some adapted as they are with slight changes to fit visually to this study and please note that the numerical presentation may differ from their regular use
• On Balance Volume
• Divergence Indicator
• Correlation Coefficient
• Chaikin Money Flow
Shortly;
On Balance Volume
The On Balance Volume indicator, is a technical analysis indicator that relates volume flow to changes in a security’s price. It uses a cumulative total of positive and negative trading volume to predict the direction of price. The OBV is a volume-based momentum oscillator, so it is a leading indicator — it changes direction before the price
Granville, creator of OBV, proposed the theory that changes in volume precede price movements in a measurable way. He believed that volume was the main force behind major market moves and thought of OBV’s prediction of price changes as a compressed spring that expands rapidly when released.
It is believed that the OBV shows the interactions between the institutional and retail traders in the market
If the price makes a new high, the OBV should also make a new high. If the OBV makes a lower high when the price makes a higher high, there’s a classical bearish divergence — indicating that only the retail traders are buying. Another type of bearish divergence occurs when the price remains relatively quiet and fails to make a higher high but the OBV soars higher than the previous high — indicating that the institutional traders are accumulating short positions. On the other hand, if the price makes a lower low and the OBV makes a higher low, there is a classical bullish divergence, showing that the institutional traders don’t believe in that move
With this study, Momentum and Acceleration (optional) of OBV is calculated and presented, where momentum is most commonly referred to as a rate and measures the acceleration of the price and/or volume of a security. It is also referred to as a technical analysis indicator and oscillator that is able to determine market trends.
Additionally, smoothing functionality with Least Squares Method is added
Divergences especially, should always be noted as a possible reversal in the current trend, so the divergence indicator is adapted with this study where the Momentum of OBV is assumed as Oscillator with similar usages as to RSI. Divergence is most often used to track and analyze the momentum in an asset’s price and the odds of a price reversal within the current trend. The divergence indicator warns traders and technical analysts of changes in a price/volume trend, oftentimes that it is weakening or changing direction.
Correlation Coefficient
The correlation coefficient is a statistical measure of the strength of the relationship between the relative movements of two variables. A correlation of -1.0 shows a perfect negative correlation, while a correlation of 1.0 shows a perfect positive correlation. A correlation of 0.0 shows no linear relationship between the movement of the two variables. In other words, the closer the Correlation Coefficient is to 1.0, indicates the instruments will move up and down together as it is mostly expected with volume and price. So the Correlation Coefficient Indicator aims to display when the price and volume (on balance volume) is in correlation and when not. With this study blue represent positive correlation while orange negative correlation. The strength of the correlation is determined by the width of the bands, to emphasis the effect horizontal lines are drawn with values set to 0.5 and -0.5. the values above 0.5 (or below -0.5) shows stronger correlation.
Chaikin Money Flow , provide optionally as a companion indicator
The Chaikin money flow indicator (CMF) is a volume indicator that measures the money flow volume over a chosen period. The money flow volume is a measure of the volume and where the price closed relative to the trading session’s range. It comes from the idea that buying pressure is indicated by a rising volume and recurrent closes in the upper part of the session’s price range while selling pressure is demonstrated by an increasing volume and repeated closes in the lower part of the price range.
Both buying and selling pressures are accompanied by an increase in volume, but the location of the closing prices are in accordance with the direction of price
Special thanks to @InvestCHK and @hjsjshs , who have enormously contributed while preparing this study
related studies:
Disclaimer:
Trading success is all about following your trading strategy and the indicators should fit within your trading strategy, and not to be traded upon solely
The script is for informational and educational purposes only. Use of the script does not constitute professional and/or financial advice. You alone have the sole responsibility of evaluating the script output and risks associated with the use of the script. In exchange for using the script, you agree not to hold dgtrd TradingView user liable for any possible claim for damages arising from any decision you make based on use of the script
스크립트에서 "THE SCRIPT"에 대해 찾기
Matrix functions - JD/////////////////////////////////////////////////////////////////////////////////////////////////////////////////
// The arrays provided in Pinescript are linear 1D strucures that can be seen either as a large vertical stack or
// a horizontal row containing a list of values, colors, bools,..
//
// With the FUNCTIONS in this script the 1D ARRAY LIST can be CONVERTED INTO A 2D MATRIX form
//
//
///////////////////////////////////////////
/// BASIC INFO ON THE MATRIX STRUCTURE: ///
///////////////////////////////////////////
//
// The matrix is set up as an 2D structure and is devided in ROWS and COLUMNS.
// following the standard mathematical notation:
//
// a 3 x 4 matrix = 4 columns
// 0 1 2 3 column index
// 0
// 3 rows 1
// 2
// row
// index
//
// With the use of some purpose-built functions, values can be placed or retrieved in a specific column of a certain row
// this can be done by intuitively using row_nr and column_nr coördinates,
// without having to worry on what exact index of the Pine array this value is located (the functions do these conversions for you)
//
//
// the syntax I propose for the 2D Matrix array has the following structure:
//
// - the array starts with 2 VALUES describing the DIMENSION INFORMATION, (rows, columns)
// these are ignored in the actual calculations and serve as a metadata header (similar to the "location, time,... etc." data that is stored in photo files)
// so the array always carries it's own info about the nr. of rows and columns and doesn't need is seperate "info" file!
//
// To stay consistent with the standard Pinescript (array and ) indexing:
// - indexes for sheets and columns start from 0 (first) and run up to the (total nr of sheets or columns) - 1
// - indexes for rows also start from 0 (most recent, cfr. ) and run up to the (total nr of rows) - 1
//
// - this 2 value metadata header is followed by the actual df data
// the actual data array can consist of (100,000 - 2) usable items,
//
// In a theoretical example, you can have a matrix with almost 20,000 rows with each 5 columns of data (eg. open, high, low, close, volume) in it!!!
//
//
///////////////////////////////////
/// SCHEMATIC OF THE STRUCTURE: ///
///////////////////////////////////
//
////// (metadata header with dimensions info)
//
// (0) (1) (array index)
//
Derivative Pivot HL Points Hello.
This script aims to take into account mutable variable Pivot Points' periods.
While doing this, it takes the period between 2 signals that I use in the script:
And these periods in my Pivot HL function integrated into len length (Mutable variables) :
The cornerstone of the script is these facts.
Pivot can be optimized by playing with reversal periods.
These pre-formed levels can be used as Supply and Demand levels.
Regards.
B3 Clear Method Streak CountAbout Clear Method -- to repeat my prior post on the bar painter script:
This indicator is translated out of Technical Analysis of Stocks & Commodities , September 2010, (I take zero design credit). The script simply looks for the price action to break or "clear" the most recent action, and only changes the paintbar color if the action indeed clears the previous candles. Simple to use, just add to your chart from your favorites and change the colors in the UI. It does the rest.
This version can replace my previous Clear Method Bar Painter as it also paints the bars.
What is different is this share is a lower study that counts the streak of the bars shown via histogram.
The way to use the streak is to notice the previous streaks and get a sense of how long the current trend is lasting versus prior trends of the same direction.
@Tradestation recently posted their "price streak" study, and this one is quite similar in nature.
Enjoy, the code open to view,
_B3
d^.^b
FX Meter ScriptA while ago, we wrote* about the usefulness of using a currency strength meter and how you can build one from scratch.
See here: www.globalprime.com.au
Now we've taken this little project to the next level by visually spotting, via color signals in a dashboard and alerts, when a potential new trend might be developing in a currency pair.
*It's critical that you first read that article before you jump into reading this one or else you could get easily lost.
The script gives a trigger every time two currencies show diverging flows via opposing moving average slopes.
The signals originate from a first chart where currency indexes can be found, calculated through a formula, in various thin lines. Then a moving average to each currency index is applied so that it can smooth out the lines (what I call Micro moving averages – thicker lines -) and is usually a 4-5 period MA, with the key input to pay attention being the slope. One can perform their own tests on what works best for their particular trading style. The smaller the period in the moving average, the more responsive to changes in biases but the downside is that you will get a greater number of false moves. In the windows below the 1st chart, the stochRSI is calculated for each currency index (these values originate from the currency index and not from the applied MA). By default, a 25-period is applied to both RSI and Stoch length.
A 2nd chart that looks at the same logic is also accounted for to build this script, but instead of checking the micro trend, it applies a 25MA to the currency index, so it looks at what I call the slope of the macro trend. In this case, by default, a 125-period is applied to both RSI and Stoch length.
We had in mind to transition from just eye-balling and monitoring these charts manually to build a script via Tradingview that makes calculations real time (whenever the change in the moving average slope first occurs, and not when the bar/line closes), so that one can decide whether or not its a signal worth trading as part of a new trend emerging. Note, this is not so much a signal-triggering indicator but rather a tool to constantly be on the lookout monitoring what currencies might start to develop trends.
The actual script consists of a dashboard with different colored rectangles being triggered depending on the quality of the signal.
We will be happy to discuss it further with anyone who is interested in exploiting all the benefits that it can offer.
The way you add the script into your Tradingview chart is by first copy everything in the txt file. Then go to Pine editor (bottom middle-left) in your tradingview chart, delete everything there, then Paste the script. Then click Add to Chart (top right of the pine editor).
Note, you should add via the Anchored Text function the following list of pairs below, in this alphabetic order, on the right-hand side of the chart, as demonstrated above:
AUDCAD
AUDJPY
AUDNZD
AUDUSD
CADJPY
EURAUD
EURJPY
EURCAD
EURNZD
EURGBP
EURUSD
GBPAUD
GBPCAD
GBPJPY
GBPNZD
GBPUSD
NZDCAD
NZDJPY
NZDUSD
USDCAD
USDJPY
There are only 2 rules for the script to trigger a signal (see below). However, as I will elaborate further down, there are up to 6 different colors we can grade a signal
RULE 1 -> 2 moving averages, which are a calculation applied to a currency index as shown in the micro trend above, exhibit slopes in the opposite direction.
RULE 2 -> The Stoch RSI cannot be in overbought conditions if the slope of the moving average points higher or in oversold if the slope points lower.
Note 1: Even if the chart is a 60m timeframe by default (can be changed to any timeframe(, one gets the signal the moment the change of slope is identified, which means the indicator monitors changes in price tick by tick, and not on a candle close, otherwise one would get the trigger too late.
As an example of the highest-graded signal triggering (in green), a few hours ago we were given the visual cue that GBPCAD was experiencing a change of behavior. If we crosscheck the time the green-colored trigger was given with the actual GBPCAD chart, this is what we can observe. The pair is 30p higher since the trigger.
HOW TO SETUP ALERTS
One can easily setup a notification window each time the above rules are met, for example, if the EUR MA slope changes to bullish, and the AUD MA slope changes to bearish, and none of the 2 currency index values corresponding to these 2 moving averages (EUR and AUD) show a stoch RSI in overbought (above 80) in the case of the EUR, or oversold (below 20) in the case of the AUD, then the notification pop up would show a customized line: Long EURAUD
Note 1: Recording the slope of the macro moving average, which is usually a 25period MA applied to the currency index, is not included as part of the rules to trigger a signal, but it is taken into account to grade the quality of each signal.
Note 2: I recommend each signal to be triggered once or if you prefer, simply monitor the chart visually on the change of colors via the dashboard. The calculation resets and can appear again the moment that the slope changes to the opposite direction, so it’s a very dynamic indicator that will alert you the second a pair of currencies starts trending.
Note 3: When the signal is triggered, the indicator draws a colored rectangle. Each signal notification should be colored based on the following logic below.
LOGIC TO QUALIFY SIGNALS
-> Any long micro position with Macro MA in full agreement (ie/ Long EURAUD, Macro EUR up, Macro AUD down) is highlighted with green color
-> Any long micro position with macro moving averages in partial agreement (for example Long EURAUD, Macro EUR up AUD up) is highlighted with blue color
-> Any long micro position with macro moving averages in full disagreement (for example Long EURAUD, Macro EUR down AUD up) is highlighted with magenta color
-> Any short micro position with macro moving averages in full agreement (for example Short EURAUD, Macro EUR down AUD up) is highlighted with red color
-> Any short micro position with macro moving averages in partial agreement (for example Short EURAUD, Macro EUR up AUD up) is highlighted with orange color
-> Any short micro position with macro moving averages in full disagreement (for example Short EURAUD, Macro EUR up AUD down) is highlighted with purple color
PARAMETERS IN THE SCRIPT SETTINGS
Overbought/oversold: One can modify the stoch RSI level from which the indicator considers the value to be in overbought or oversold conditions. As a rule of thumb, consider 20/30 for oversold and 70/80 for oversold.
Slopes micro/macro MAs: One can edit the slope of the micro MA period (rule of thumb 4-5) and the macro MA (by default 25).
Value StochRSI: The default inputs are K 3, D 3, RSI Length 25, Stoch Length 25 for the micro and 125 period for the macro.
Change colors: One can edit the assigned colors in the signals dashboard.
Timeframe applied: The indicator has the flexibility to be applied to any timeframe, not just the 60m by default. Simply change the timeframe temporality.
CURRENCY INDEXES FORMULAS
It is the responsibility of the user to keep the values of the indexes updated. Find a recent sample below, as per values in early April. What this means is that at least once a week, in order to not let the values outdated, you should update the script with the latest valuations in the denominator.
NZD INDEX -> FX_IDC:NZDAUD/0.96+FX:NZDJPY/75.81+FX:NZDUSD/0.68+FX_IDC:NZDEUR/0.6+FX_IDC:NZDGBP/0.52+FX:NZDCHF/0.69+FX:NZDCAD/0.9
EUR INDEX -> FX:EURUSD/1.13+FX:EURJPY/125.5+FX:EURGBP/0.87+FX:EURCHF/1.135+FX:EURCAD/1.49+FX:EURNZD/1.655+FX:EURAUD/1.59
JPY INDEX -> 1/(FX:USDJPY/110.5+FX:EURJPY/125.5+FX:AUDJPY/79+FX:NZDJPY/75.5+FX:GBPJPY/144.5+FX:CHFJPY/110.5+FX:CADJPY/84)
USD INDEX -> FX_IDC:USDEUR/0.88+FX:USDJPY/110.5+FX_IDC:USDGBP/0.77+FX:USDCHF+FX:USDCAD/1.315+FX_IDC:USDNZD/1.46+FX_IDC:USDAUD/1.4
CAD INDEX-> FX_IDC:CADAUD/1.07+FX_IDC:CADNZD/1.11+FX:CADJPY/84.27+FX_IDC:CADUSD/0.76+FX_IDC:CADEUR/0.67+FX:CADCHF/0.76+FX_IDC:CADGBP/0.58
GBP INDEX -> FX:GBPAUD/1.83+FX:GBPNZD/1.91+FX:GBPJPY/144.5+FX_IDC:GBPEUR/1.15+FX:GBPCHF/1.31+FX:GBPUSD/1.31+FX:GBPCAD/1.71
Remember, I have provided a manual on how to build a currency strength meter. That’s what you will need to do first if you want to obtain the actual currency indexes other than just the indicator, which is just the visual cue to get you alerted when the slopes turn.
Once you’ve created your indexes via tradingview, you then apply a moving average to each index. Then apply the stochrsi 25 period to each index. For the macro trend, I make the same calculations, but the period of the MA is 25 instead of 4, while the stoch rsi is 125 periods vs 25 periods.
FINAL NOTE
This is a tool that should be interpreted as visual assistance, via the dashboard, to get that first cue when opposing micro slopes via the FX meter occur. However, you still need to check the technical context of the pair (levels marked, proj reached, etc.) but that first cue is a major time saver to constantly spot what's trending in FX. The permutations u can play with, as part of this script, are significant. You can tweak the timeframes you use, the periods of the moving averages, etc. I find the micro and macro trend combos when either a green or red signals is triggered the most reliable, with positions to be exploited via 15m and hourly under the right technical context.
Dragon Bot - Default ScriptDragon Script is a framework to make it as easy as possible to test your own strategies and set alerts for external execution bots.
The script has many features build in, like:
1) A ping/pong mechanism between longs and shorts
2) A stop-loss
3) Trailing Stops with several ways to calculate them.
4) 2 different ways to flip from long to short.
The script is divided into several parts.
The first part of the script is used to set all the variables. You should normally never change the first part except for the comments at the top.
The second part of the script is the part where you initialise all your indicators. Several indicators can be found on Tradingview and on other sites. Please keep in mind that all the variable names used in the indicator should be unique. (all the … = … parts)
The third part of the script, is the most important part of the script. Here you can create the entry and exit points.
Let’s look at the OPENLONG function to explain this part: The first variables are all the possible entries; These are longentry1 till longentry5. You can add many more if you like.
The variables are all initialised as being false. This way the script can set a value to true if an entry happens.
The if function is the actual logic: You could say “if this is true” then (the line below the if function) longentry1 := (becomes) true.
In this case we have said: “if this is true” then (the line below the if function) longentry1 := (becomes) true when the current close is larger than the close that is 1 back.
The last part is the makelong_funct. This part says that if any of the entries are true, the whole function is true.
The last part of the script is the actual execution. Here the alerts are plotted and the back test strategies are opened and closed.
We hope you guys like it and all feedback is welcome!
Open Interest:CME e-o-d vs CFTC e-o-wCFTC only publishes total OI on fridays, related to last Tuesday.
But what happened since last Tuesday?
CME Vol & Open Interest data is recorded&exported daily by quandl.com to tradingview
via the che CHRIS/CME datasets
www.quandl.com
Eg. Nat Gas next outstanding cntract n. 20, field n. 7(OI)
@quandl.com:
www.quandl.com
is exported @tradingview:
www.tradingview.com
Every outstanding contract's OI & vol is exported (black column), but not the total (yellow line):
tiny.cc
This script sums up all the existing outstanding contract's OI for the future (the black column), so one can have an idea of the total OI for the day (Yellow line).
As numer of outstanding contracts varies from future to future,Eg:
E-mini (ES) has 4 contracts, Gold(GC) 16 cntrcts, NatGas(NG) has 43, WTI(CL) has 38 etc
the scrips tries to guess how many exist for it and sums them up, to have the total OI for tha day
Number ofoutstanding contracts exported by quandl.com to tradingview is taken from
s3.amazonaws.com
There are 2 params you can enter on the script:
* override the ticket symbol on the chart ,if script cannot guessit or you need a different one
* enter the "preliminary" OI that is published by CME early the next day, butb not yet exported by quandl to tradingview
This script is Open so anyone can copy and modifyit for its use.
Please post comments and ideas if you find it useful
I try to keep a log of my work here:
[RESEARCH] Percentrank BugI found a bug with built-in percentrank function. Sometimes it gives unexpected and incorrect results. You can see a one of them on the chart.
ALL scripts which use percentrank function are affected. No matter which version they use, no matter who is their author - ALL scripts which use this built-in function can work incorrectly.
If you want to avoid this bug use _percentrank function (the "shim" ) - you can find it in the script.
NOTE: Don't push on TradingView Support or Pine Core Team because they already know about this issue and work on the fix. I publish it to warn you.
Relative Volume Change: BTC | Retail v. Non-Retail [Sim]This script was inspired by Cryptorae's BTC Volume Share, Retail script:
The script plots the relative monthly change of BTC volume, retail vs. non-retail. A move above 1 means the volume of retail or non-retail, respectively, is greater than last month's cumulative volume.
Mayer Multiple @ Current PriceThough this script is by me, the original idea comes from a podcast I heard where Trace Mayer talks about how he does crypto valuation. It is based on current price against the 200 day moving average. This indicator script will simply plot that value as a label overlayed on your trading view chart. Best long term results occur when acquiring BTC when the multiple is 2.4 or less. For more info, google "mayer multiple" This script/indicator is strictly for educational purposes. It is not exclusive to bitcoin.
To get the best look out of your charts I make the following changes.
1.Apply the indicator to your chart.
2. In the tools palette of trading view, when looking at a chart, click "Show Objects Tree" the icon displayed above the trash can.
In the objects tree panel, click the preferences icon for "Mayer Multiple @ Current Price"
Switch "scale" to "scale Left"
3. Then for your chart preferences (right click on chart background and select "Properties", and be sure the following are checked on the "Scales" tab
Left Axis
Right Axis
Indicator Last Value
Indicator Labels
Screenshots are not allowed in this view, so I can't post screenshots, but the view above is what it should look like when you are done.
For anyone who wants to see the code, here is the code of the script:
Use at will, and at your own risk.
//@version=3
// Created By Timothy Luce, inspired by Trace Mayer's 200 Day SMA cryptocurrency valuation method
study("Mayer Multiple @ Current Price", overlay=true)
currentPrice = close
currentDay = security(tickerid, "D", sma(close, 200))
mayerMultiple = currentPrice/currentDay
plot(mayerMultiple, color=#00ffaa, transp=100)
If you want to change the color, change this line: #00ffaa
Daily Bias Trade Manager [MarkitTick]💡 The Daily Bias Trade Manager is a sophisticated technical analysis suite designed to automate the identification of high-probability intraday setups based on liquidity concepts and structural shifts. By synthesizing Previous Day High/Low (PDH/PDL) interactions with momentum confirmation and strict risk management protocols, this tool assists traders in navigating the "Daily Bias." It moves beyond simple signal generation by offering a complete trade management visualization system, projecting entries, stop losses, and take-profit levels directly onto the chart in real-time.
✨ Originality and Utility
This script distinguishes itself by integrating institutional price action theory—specifically Liquidity Sweeps and Change in State of Delivery (CISD)—with mechanical filtering. While many indicators simply highlight highs and lows, the Daily Bias Trade Manager validates these levels by analyzing what happens *after* price tests them.
It solves a common problem for intraday traders: "Analysis Paralysis." By automating the detection of structure breaks (MSS) and Fair Value Gaps (FVG) following a sweep of daily liquidity, it provides an objective framework for entry. Furthermore, the built-in "Position Box" feature removes the guesswork from trade execution by instantly calculating risk-to-reward ratios and visualizing them, allowing traders to see the feasibility of a trade before execution.
🔬 Methodology and Concepts
The core logic operates on a sequential detection model:
Liquidity Identification: The script first plots the Previous Day High (PDH) and Previous Day Low (PDL). These are critical institutional reference points where stop-loss orders (liquidity) often reside.
The Sweep: A "Sweep" is confirmed when price breaches a PDH/PDL but fails to sustain the breakout, closing back inside the previous day's range. This suggests a "Fake-out" or liquidity grab, often a precursor to a reversal.
Change in State of Delivery (CISD): Following a sweep, the script monitors local market structure. It looks for a decisive close past a recent swing point (Swing High for shorts, Swing Low for longs) within a user-defined bar window. This confirms that the counter-trend move has momentum.
Confluence Filtering: To reduce false positives, the engine applies optional filters:
RVOL (Relative Volume): Ensures the sweep occurred on significant volume (Climax behavior).
RSI Momentum: Verifies that momentum supports the reversal direction.
Trend Filter: Uses a long-term EMA to ensure trades align with the broader market direction.
Entry Model: Upon validation, the script calculates an entry at the close (or optionally at a Fair Value Gap), places a Stop Loss at the sweep extreme, and projects three Take Profit targets based on configurable R:R ratios.
🎨 Visual Guide
The indicator uses a distinct color-coded system to keep the chart clean yet informative:
● Liquidity Levels & Sweeps
Orange/Blue Lines: Represent the PDH (Previous Day High) and PDL (Previous Day Low).
Teal Shaded Zones: Indicate a "Buy-Side Sweep" (Price took highs and rejected).
Red Shaded Zones: Indicate a "Sell-Side Sweep" (Price took lows and rejected).
● Position Management Boxes
When a signal triggers, a structured box appears:
Solid Gray Line: The theoretical Entry Price.
Solid Red Line: The Stop Loss (SL), typically placed at the swing high/low of the sweep.
Dashed Blue Lines: Represent TP1, TP2, and TP3 targets based on Reward-to-Risk settings.
Labels: Data tags on the right side of the box show exact price coordinates for Entry, SL, and Targets.
● Signals & Clouds
Green "BUY" Labels: Appear below the bar when a bullish sweep and structural shift are confirmed.
Red "SELL" Labels: Appear above the bar when a bearish sweep is validated.
Yellow Clouds: Highlight Fair Value Gaps (FVG) used for entry confluence or retests.
● Multi-Timeframe (MTF) Dashboard
A panel (default: Top Right) displays the status of up to three higher timeframes.
Trend: Shows "BULL" or "BEAR" based on EMA alignment.
Liquidity: Indicates if the timeframe is "Taking Buy Liq", "Taking Sell Liq", or "Inside Range".
📖 How to Use
● Bullish Reversal Setup
Wait for price to drop below the Blue PDL Line.
Look for a Red Sell-Side Sweep Zone to form, indicating price has rejected lower prices.
Wait for the Green BUY Signal . This confirms a shift in structure (CISD) back to the upside.
Observe the Position Box. If the Risk/Reward is favorable (targets are within reasonable reach), consider the trade.
Optional: Use the "Dynamic Targets" setting to target the previous swing high instead of a fixed ratio.
● Bearish Reversal Setup
Wait for price to rally above the Orange PDH Line.
Look for a Teal Buy-Side Sweep Zone .
Wait for the Red SELL Signal confirming the rejection.
Ensure the dashboard shows alignment (e.g., Higher Timeframe Trend is Bearish) for higher probability.
● Trade Management
Enable the "ATR Trailing Stop" in settings to have the Stop Loss line dynamically adjust as price moves in your favor, locking in potential gains.
⚙️ Inputs and Settings
● General & Display
Show Daily Liquidity: Toggles the PDH/PDL lines.
Max Signals/Zones: Limits the visual clutter by restricting historical shapes.
● Detection Logic
Swing Detection Length: Controls the sensitivity of pivot points. Higher numbers = fewer, more significant swings.
CISD Window: How many bars after a sweep are allowed for the structure shift to occur.
Use FVG Entry: If true, the signal waits for a retest of a gap rather than entering immediately at the close.
● Filters
Volume (RVOL): Requires the sweep candle volume to be X times larger than average.
Trend Filter: Only allows Buy signals above the EMA and Sell signals below it.
Session Filter: Restricts signals to specific hours (e.g., New York Killzone).
● Targets & Management
Target R:R: Sets the multiplier for TP1, TP2, TP3 relative to the stop loss distance.
Use Dynamic Targets: Targets structural liquidity (Previous Highs/Lows) instead of fixed math ratios.
ATR Trailing Stop: Activates the trailing stop mechanism.
🔍 Deconstruction of the Underlying Scientific and Academic Framework
This indicator is grounded in the principles of Market Microstructure and Mean Reversion theory .
1. Liquidity Pools & Stop Runs:
Academic literature on market microstructure suggests that order flow clusters around obvious visual references (PDH/PDL). Large market participants often utilize this "resting liquidity" to fill large block orders with minimal slippage. The "Sweep" logic detects this absorption phase.
2. Volatility Breakout vs. Fake-out:
The script differentiates between a genuine breakout and a mean-reverting "fake-out" by analyzing the Close relative to the Range . A close back within the prior day's range after a breach signifies a failure of auction in the new territory, statistically increasing the probability of a reversion to the mean (equilibrium).
3. Momentum Validation (RSI & RVOL):
By integrating Relative Volume (RVOL) and RSI, the script applies statistical significance testing to the price action. High volume at a range extreme without price progress (the sweep) indicates "Stopping Volume" or absorption, a key concept in Volume Spread Analysis (VSA).
🙏 Gratitude
I would like to express my gratitude to harry040708 for sharing the insightful idea that made this script possible.
⚠️ Disclaimer
All provided scripts and indicators are strictly for educational exploration and must not be interpreted as financial advice or a recommendation to execute trades. I expressly disclaim all liability for any financial losses or damages that may result, directly or indirectly, from the reliance on or application of these tools. Market participation carries inherent risk where past performance never guarantees future returns, leaving all investment decisions and due diligence solely at your own discretion.
Institutional Alpha Vector | D_QUANT Institutional Alpha Vector | D_QUANT
Overview
The Institutional Alpha Vector (IAV) is an original trend-following framework that replaces single-indicator bias with a Weighted Composite Score . Instead of relying on a simple moving average, this script aggregates four distinct quantitative dimensions—Price, Momentum, Volatility, and Volume—into a normalized value called the "Alpha Vector."
The goal of this tool is to identify "Institutional Consensus"—periods where multiple mathematical models align in the same direction, reducing the likelihood of false breakouts in choppy markets.
How It Works: The Quantitative Engines
The script calculates four independent signals. For each module, a state is stored (1 for Bullish, -1 for Bearish, 0 for Neutral).
1. Price Filter (Hull Moving Average):
The script uses an HMA (a weighted moving average that reduces lag by using the square root of the period). A signal is triggered when the price crosses over/under this "Spine."
2. Volatility Regime (RMA + ATR):
This module uses a Moving Average (RMA) combined with an Average True Range (ATR) offset. It acts as a volatility filter that price must move beyond 1 ATR from the mean to register a trend, ensuring the market isn't just "drifting."
3. Momentum Physics (ADX/DMI):
Based on J. Welles Wilder’s Directional Movement Index. It checks if the is above (or vice versa) but only if the ADX (Average Directional Index) is above a user-defined threshold (default: 10), confirming the presence of a strong trend.
4. Institutional Flow (Chaikin Money Flow):
This confirms price action with volume. It calculates the accumulation/distribution of money flow over a specific period. A signal is only valid if the CMF is positive (Bullish) or negative (Bearish).
The Alpha Vector Calculation
This is the core "originality" of the script. The indicator takes the active modules and calculates a Composite Score :
This results in a value between -1.0 and +1.0 .
* High Confidence Long: When the score exceeds +0.1 (adjustable).
* High Confidence Short: When the score drops below -0.1 (adjustable).
* Neutral Zone: When the score is near 0, the script colors the bars grey, signaling a lack of institutional consensus.
Visual Intelligence: The "Electric Conduit"
The script visualizes market energy through a custom rendering engine:
* The Spine: A central line representing the HMA trend.
* The Conduit (Fill): A dynamic gradient that expands or contracts based on the ATR (Average True Range) . This allows traders to see "volatility expansion" (wide ribbon) vs "compression" (tight ribbon) at a glance.
* Bar Coloring : Automatically aligns the chart candles with the Alpha Vector state to remove cognitive load.
How to Use
1. Define your Strategy: In the settings, you can toggle specific modules. If you are trading a low-volume asset, you might disable the **CMF** module.
2. Identify the Consensus: Look for the ribbon to change from Grey (Neutral) to Cyan/Gold.
3. Monitor the HUD: A small dashboard in the bottom right displays the live Alpha Vector score. A score of 1.0 means all four engines are in 100% bullish agreement.
Disclaimer: Trading involves significant risk. This tool is for educational and analytical purposes and does not constitute financial advice.
Anhnga4.0 - Filter ToggleINPUTS:
1.5 0.8 (OR 1.6 0.5/0.6)
BE=0.45
1
MAs: 35 135
7
This Pine Script code defines a trading strategy named **"Anhnga4.0 - Filter Toggle"**. It is a trend-following strategy that uses momentum oscillators and moving averages to identify entries, while featuring a specific "Overextension Filter" to avoid buying at the top or selling at the bottom.
Here is a breakdown of how the script works:
---
## 1. Core Trading Logic (The Entry)
The strategy looks for a "perfect storm" of three factors before entering a trade:
* **Momentum (WaveTrend):** It uses the WaveTrend oscillator (`wt1` and `wt2`).
* **Long:** A bullish crossover happens while the oscillator is below the zero line (oversold).
* **Short:** A bearish crossunder happens while the oscillator is above the zero line (overbought).
* **Trend Confirmation:** The price must be on the "correct" side of three different lines: the 20-period Moving Average (BB Basis), the 50-period SMA, and the 200-period SMA.
* **The Window:** You don't have to enter exactly on the cross. The `Signal Window` allows the trade to trigger up to 4 bars after the momentum cross, provided the trend filters align.
## 2. The "Overextension" Filter
This is a unique feature of this script. It calculates the distance between the current price and the **50-period Moving Average**.
* If the price is too far away from the MA (defined by the **ATR Limit**), the script assumes the move is "exhausted."
* If `Enable Overextension Filter?` is on, the strategy will skip these trades to avoid "chasing the pump."
* **Visual Cue:** The chart background turns **purple** when the price is considered overextended.
---
## 3. Risk Management & Exit Strategy
The script manages trades dynamically using Bollinger Bands and Risk:Reward ratios:
| Feature | Description |
| --- | --- |
| **Stop Loss (SL)** | Set at the **Lower Bollinger Band** for Longs and **Upper Band** for Shorts. |
| **Take Profit (TP)** | Calculated based on your **RR Ratio** (default is 2.0). If your risk is $10, it sets the target at $20 profit. |
| **Breakeven** | A "protection" feature. Once the price moves in your favor by a certain amount (the `Breakeven Trigger`), the script moves the Stop Loss to your entry price to ensure a "risk-free" trade. |
---
## 4. Visual Elements on the Chart
* **Green Lines:** Your target price (TP).
* **Red Lines:** Your initial Stop Loss.
* **Yellow Lines:** Indicates the Stop Loss has been moved to **Breakeven**.
* **Purple Background:** High alert—price is overextended; trades are likely being filtered out.
---
## Summary of Settings
* **BB Multiplier:** Controls how wide your initial stop loss is.
* **ATR Limit:** Controls how sensitive the "Overextension" filter is (higher = more trades allowed; lower = stricter filtering).
* **Breakeven Trigger:** Set to 1.0 by default, meaning once you are "1R" (profit equals initial risk) in profit, the stop moves to entry.
RSI Statistics [Honestcowboy]⯁ Overview
Research tool for analysing price behaviour based on RSI, find out how your favorite trading pair / timeframe combinations react to RSI. 5 Different projections based on 5 different value zones of RSI:
RSI between 100-80 (very overbought)
RSI between 80-60 (overbought)
RSI between 60-40 (normal)
RSI between 40-20 (oversold)
RSI between 20-00 (very oversold)
The script simply show price projections of different RSI environments so you can get an idea of what price could do when RSI reaches this RSI value zone. Ofcourse past price performance does not guarantee future returns and this is just projections based on the past.
The script also projects RSI just like it does with price so you can get an idea of how long RSI might stay in overbought or very overbought etc
Script is mainly a research tool to use to get ideas to explore further and build upon. Here are some examples:
⯁ Settings
RSI Lenght: this is just normal RSI settings you find in standard RSI (bars used to calculate RSI)
Projection Length: Amount of bars to save for projections. The projections will also project this many bars in futre. Higher values here increase loading time drastically.
Price Action Boundaries: turn the highs / lows of projection zone on or off. I usually turn this off to look more closely at the averages themselves.
Maximum Stats history: Not on by default, in case you only want to show the average projection of last X amount of occurences RSI was in a specific RSI value zone
Selection of the different zones: in case you want to look at a specific zone alone or turn of some zones. It will no longer project for that zone both in the price projection and RSI projections.
⯁ How are these calculated?
To calculate the average price reaction script uses a very simple approach. On each bar it will save price action array up to projection length back in time. It will then check what the RSI value was there and store the array inside the right matrix.
It will use this matrix to calculate the averages, highs and lows of all these arrays for that specific RSI zone. It uses a simple arithmatic averaging method to get average value.
The script uses a similar approach for projecting the RSI itself into the future.
I include a visual showing it a bit better. This is from a different indicator of me using same approach:
The script will force you into a specific background, bar color and color template. Script is not meant to be used with other scripts and should be used as a standalone tool.
Supply & Demand Sniper369Indicator Philosophy: The Convergence of Structure and Liquidity
The Supply & Demand Sniper369 is not just another signal generator; it is a professional-grade execution framework built on the principles of Institutional Order Flow and Liquidity Engineering. While standard indicators often lag or provide signals in "no-man's land," this script is designed to identify high-probability reversal points by combining macro-structural zones with micro-execution triggers.
What Makes This Script Original?
Most scripts treat Supply/Demand and Entry Triggers as separate entities. The originality of the Sniper369 lies in its Strict Hierarchical Logic. It employs a "Two-Factor Authentication" system for trades:
1. Structural Validation: Identifying where "Smart Money" has historically left unfilled orders.
2. Liquidity Sweep Confirmation: Using the Enigma 369 logic to detect a specific manipulation pattern (a stop-run or "sweep") that occurs exclusively within those structural zones.
By using Pine Script v6 Object-Oriented Programming, the script manages dynamic arrays of boxes and lines that auto-delete upon mitigation, ensuring your chart remains a clean, actionable workspace.
Underlying Concepts & Calculations
1. Macro: Structural Supply & Demand
The indicator calculates zones based on Pivot Strength and Volatility Scaling.
Calculations: It scans for major structural pivots ( and ). Once a pivot is confirmed, it doesn't just draw a line; it calculates a zone width based on the Average True Range (ATR).
Why it works: Institutions do not enter at a single price; they enter in "pockets" of liquidity. Using ATR-based zones ensures that on high-volatility pairs (like Gold or GBP/JPY), your zones are appropriately wide, while on lower-volatility pairs, they remain tight and precise.
2. Micro: The Enigma 369 Sniper Logic
Once price enters a zone, the "Sniper" logic activates. This is based on the Institutional Wick-Liquidity concept.
The Sweep: The script looks for a candle that breaks the high/low of the previous candle (trapping "breakout" traders) but fails to hold that level.
The Mean Threshold (50% Wick): A core calculation of the Enigma logic is the midpoint of the rejection wick.
Calculation: for Sells.
Logic: Institutions often re-test the 50% level of a long wick to fill the remaining orders before the real move starts.
How to Use the Indicator
Step 1: Wait for Structural Alignment
Observe the Teal (Demand) and Red (Supply) boxes. These are your "Points of Interest" (POI). Do not take any trades until the price is physically touching or inside these boxes.
Step 2: Monitor for the Sniper Trigger
When the price is inside a zone, look for the appearance of the Solid and Dotted lines.
The Solid Line: This is the extreme of the manipulation candle. It serves as your structural invalidation level (Stop Loss).
The Dotted Line: This is the 50% Wick level. It is your "Sniper Entry" target.
Step 3: Execution & Alerts
The script features a built-in alert system that notifies you the moment a Sniper activation occurs inside a zone.
Conservative Entry: Place a Limit Order at the Dotted Line.
Aggressive Entry: Market enter on the close of the Sniper candle if the price has already reacted strongly.
Exit: Target the opposing Supply or Demand zone for a high Risk-to-Reward ratio.
Technical Summary for Traders
Trend Detection: Uses an EMA-50 Filter to ensure Snipers only fire in the direction of the dominant trend (optional).
Scalping/Day Trading: Optimized for the 1m, 5m, and 15m timeframes, but functions perfectly on 4H/Daily for swing traders.
Dynamic Cleanup: The script automatically deletes lines if the price closes past them, signaling that the "Liquidity Grab" was actually a breakout, thus preventing you from entering a losing trade.
EMA 8 48 System v1Short Description:
A trend-following indicator using EMA crossovers, ATR-based volatility filter, and a cooldown period to reduce false signals. Designed for clear buy/sell signals in trending markets.
Full Description:
What is this indicator?
This script implements a dual EMA crossover system (8-period and 48-period EMAs) with a trend filter (EMA200), ATR-based volatility filter, and a cooldown period to avoid overtrading.
It visually plots EMAs, buy/sell signals, and ATR-based stop loss/target levels.
Why is it useful?
Helps traders identify high-probability trend entries and avoid choppy, low-volatility conditions.
Reduces false signals by requiring trend confirmation, sufficient volatility, and spacing out trades.
Suitable for intraday and swing trading on most liquid assets.
When to use:
Best used in markets showing clear trends (not sideways).
Works on most timeframes, but higher timeframes (15m, 1h, 4h, daily) tend to give more reliable signals.
How to spot buy and sell:
Buy: Green “BUY” label appears when EMA8 crosses above EMA48, price is above EMA200, and ATR is above the minimum threshold.
Sell: Red “SELL” label appears when EMA8 crosses below EMA48, price is below EMA200, and ATR is above the minimum threshold.
ATR-based stop loss and target levels are plotted for each signal.
Additional tips:
Adjust the minimum ATR and cooldown settings to match your asset’s volatility and your trading style.
Use in conjunction with price action or higher timeframe analysis for best results.
Avoid trading during low volatility or sideways markets, as signals may be less reliable.
Always backtest and forward-test before using live.
How to add signals and update settings:
Use the script’s input panel to adjust EMA lengths, ATR settings, minimum ATR, and cooldown period.
To add alerts, use TradingView’s “Add Alert” feature and select the buy or sell conditions from the script’s alert options.
For further customization, you can edit the script to add additional filters or notification logic.
This indicator is for educational purposes only. Always use proper risk management and do your own research before trading.
Disclaimer:
This script is for informational and educational purposes only and does not constitute financial advice or a recommendation to buy or sell any financial instrument.
Trading involves risk. Past performance is not indicative of future results. Always do your own research and use proper risk management.
The author is not responsible for any losses incurred from the use of this script. By using this script, you agree to take full responsibility for your trading decisions.















