Traded Range & True ATRBlack line = Trade Range from the last X periods.
Red Line = 61.8% of black line value.
Green bar = The current trade period range.
Default Value = 21 (21 days = I business month)
Generally speaking, a stock moves approximately the same value daily. Knowing the approximate value it likes to stay within calms the nerves when you see retracement of price occuring.
IE. Price average = 1.00 in a day. It move .75 within first hour then retraces in the opposite direction. There are still hours left in the trade day, so it is trading in its value range in order to not over extend itself.
This differs in calculation from the Wells Wilder version as it smooths out jumps and only examines the ranges between high and low.
A good rule of thumb is.
Stop Loss = Entry Price +/- (ATR * 1.5)
Take Profit = (1) Entry Price +/- ATR - 50% exit (Set Trailing Stop @ Entry Value), (2) Entry Price +/- ATR * 2 (50% of remaining).
스크립트에서 "daily"에 대해 찾기
Parabolic SAR Strategy w/ EMA AlertsLong green arrow.
Short red arrow.
White bars = no trade zone.
Updating trailing stop daily.
Bitcoin Stock to Flow Multiple (fixed)This is a fixed version of the original script by yomofoV:
I fixed the variable assignments and added switching of timeframes over indicator inputs.
To switch timeframes click on the indicator, open its settings and switch the timeframe to either monthly, weekly or daily.
Multi Timeframe EMAs (Fib@MWD)plot fibonacci EMAs 21,55,233 on the timeframes monthly, weekly and daily.
Multi Timeframe EMAs (Round@MWD)plot round number EMAs 20,50,200 on the timeframes monthly, weekly and daily.
RSI Multi Time Frame - Spot Panic Sell Moments and profit!Union of three RSI indicators: 1h, 4h and daily. In order to show 1h RSI, you have to set it as active time frame on the chart.
Purpose: spot "triple oversold" moments, where all the three RSI are under the threshold, which is 30 by default but editable.
Target Market: Cryptocurrencies. Didn't try it on other ones, may work as well. Fits Crypto well as, by experience, I can tell it usually doesn't stay oversold for long.
When the market panics and triple oversold occurs, the spot is highlighted by a green vertical bar on the indicator.
The indicator highlights triple overbought conditions as well (usually indicating strong FOMO), but I usually don't use it as a signal.
I suggest to edit the oversold threshold in order to make it fit the coin you're studying, minimizing false positives.
Special thanks to Heavy91, a Discord user, for inspiring me in this indicator.
Any editing proposal is welcome!
I reposted this script, as the first time I wrote it in Italian. Sorry for that.
Percent Difference Between VWAP and Price MTFShows the difference between vwap and price in percent.
You can can choose between multiple timeframe vwap. Default is normal daily.
The levels on the indicator can be changed to whatever you want to.
In the chart above we can see eurusd reverting up at 3% below monthly vwap, after the brexit dip, It then turns down again at 1% from monthly and lastly it turns up again at 2% from monthly.
Script is a small modification of this:
Session Open Range, Breakout & Trap Framework - TrendPredator OBSession Open Range, Breakout & Trap Framework — TrendPredator Open Box
Stacey Burke’s trading approach combines concepts from George Douglas Taylor, Tony Crabel, Steve Mauro, and Robert Schabacker. His framework focuses on reading price behaviour across daily templates and identifying how markets move through recurring cycles of expansion, contraction, and reversal. While effective, much of this analysis requires real-time interpretation of session-based behaviour, which can be demanding for traders working on lower intraday timeframes.
The TrendPredator indicators formalize parts of this methodology by introducing mechanical rules for multi-timeframe bias tracking and session structure analysis. They aim to present the key elements of the system—bias, breakouts, fakeouts, and range behaviour—in a consistent and objective way that reduces discretionary interpretation.
The Open Box indicator focuses specifically on the opening behaviour of major trading sessions. It builds on principles found in classical Open Range Breakout (ORB) techniques described by Tony Crabel, where a defined time window around the session open forms a structural reference range. Price behaviour relative to this range—breaking out, failing back inside, or expanding—can highlight developing session bias, potential trap formation, and directional conviction.
This indicator applies these concepts throughout the major equity sessions. It automatically maps the session’s initial range (“Open Box”) and tracks how price interacts with it as liquidity and volatility increase. It also incorporates related structural references such as:
* the first-hour high and low of the futures session
* the exact session open level
* an anchored VWAP starting at the session open
* automated expansion levels projected from the Open Box
In combination, these components provide a unified view of early session activity, including breakout attempts, fakeouts, VWAP reactions, and liquidity targeting. The Open Box offers a structured lens for observing how price transitions through the major sessions (Asia → London → New York) and how these behaviours relate to higher-timeframe bias defined in the broader TrendPredator framework.
Core Features
Open Box (Session Structure)
The indicator defines an initial session range beginning at the selected session open. This “Open Box” represents a fixed time window—commonly the first 30 minutes, or any user-defined duration—that serves as a structural reference for analysing early session behaviour.
The range highlights whether price remains inside the box, breaks out, or rejects the boundaries, providing a consistent foundation for interpreting early directional tendencies and recognising breakout, continuation, or fakeout characteristics.
How it works:
* At the session open, the indicator calculates the high and low over the specified time window.
* This range is plotted as the initial structure of the session.
* Price behaviour at the boundaries can illustrate emerging bias or potential trap formation.
* An optional secondary range (e.g., 15-minute high/low) can be enabled to capture early volatility with additional precision.
Inputs / Options:
* Session specifications (Tokyo, London, New York)
* Open Box start and end times (e.g., equity open + first 30 minutes, or any custom length)
* Open Box colour and label settings
* Formatting options for Open Box high and low lines
* Optional secondary range per session (e.g., 15-minute high/low)
* Forward extension of Open Box high/low lines
* Number of historic Open Boxes to display
Session VWAPs
The indicator plots VWAPs for each major trading session—Asia, London, and New York—anchored to their respective session opens. These session-specific VWAPs assist in tracking how value develops through the day and how price interacts with session-based volume distributions.
How it works:
* At each session open, a VWAP is anchored to the open price.
* The VWAP updates throughout the session as new volume and price data arrive.
* Deviations above or below the VWAP may indicate balance, imbalance, or directional control.
* Viewed together, session VWAPs help identify transitions in value across sessions.
Inputs / Options:
* Enable or disable VWAP per session
* Adjustable anchor and end times (optionally to end of day)
* Line styling and label settings
* Number of historic VWAPs to draw
First Hour High/Low Extensions
The indicator marks the high and low formed during the first hour of each session. These reference points often function as early control levels and provide context for assessing whether the session is establishing bias, consolidating, or exhibiting reversal behaviour.
How it works:
* After the session starts, the indicator records the highest and lowest prices during the first hour.
* These levels are plotted and extended across the session.
* They provide a visual reference for observing reactions, targets, or rejection zones.
Inputs / Options:
* Enable or disable for each session
* Line style, colour, and label visibility
* Number of historic sessions displayed
EQO Levels (Equity Open)
The indicator plots the opening price of each configured session. These “Equity Open” levels represent short-term reference points that can attract price early in the session.
Once the level is revisited after the Open Box has formed, it is automatically cut to avoid clutter. If not revisited, the line remains as an untested reference, similar to a naked point of control.
How it works:
* At session open, the open price is recorded.
* The level is plotted as a local reference.
* If price interacts with the level after the Open Box completes, the line is cut.
* Untested EQOs extend forward until interacted with.
Inputs / Options:
* Enable/disable per session
* Line style and label settings
* Optional extension into the next day
* Option for cutting vs. hiding on revisit
* Number of historic sessions displayed
OB Range Expansions (Automatic)
Range expansions are calculated from the height of the Open Box. These levels provide structured reference zones for identifying potential continuation or exhaustion areas within a session.
How it works:
* After the Open Box is formed, multiples of the range (e.g., 1×, 2×, 3×) are projected.
* These expansion levels are plotted above and below the range.
* Price reactions near these areas can illustrate continuation, hesitation, or potential reversal.
Inputs / Options:
* Enable or disable per session
* Select number of multiples
* Line style, colour, and label settings
* Extension length into the session
Stacey Burke 12-Candle Window Marker
The indicator can highlight the 12-candle window often referenced in Stacey Burke’s session methodology. This window represents the key active period of each session where breakout attempts, volatility shifts, and reversal signatures often occur.
How it works:
* A configurable window (default 12 candles) is highlighted from each session open.
* This window acts as a guide for observing active session behaviour.
* It remains visible throughout the session for structural context.
Inputs / Options:
* Enable/disable per session
* Configurable window duration (default: 3 hours)
* Colour and transparency controls
Concept and Integration
The Open Box is built around the same multi-timeframe logic that underpins the broader TrendPredator framework.
While higher-timeframe tools track bias and setups across the H8–D–W–M levels, the Open Box focuses on the H1–M30 domain to define session structure and observe how early intraday behaviour aligns with higher-timeframe conditions.
The indicator integrates with the TrendPredator FO (Breakout, Fakeout & Trend Switch Detector), which highlights microstructure signals on lower timeframes (M15/M5). Together they form a layered workflow:
* Higher timeframes: context, bias, and developing setups
* TrendPredator OB: intraday and intra-session structure
* TrendPredator FO: microstructure confirmation (e.g., FOL/FOH, switches)
This alignment provides a structured way to observe how daily directional context interacts with intraday behaviour.
See the public open source indicator TP FO here (click on it for access):
Practical Application
Before Session Open
* Review previous session Open Box, Open level, and VWAPs
* Assess how higher-timeframe bias aligns with potential intraday continuation or reversal
* Note untested EQO levels or VWAPs that may function as liquidity attractors
During Session Open
* Observe behaviour around the first-hour high/low and higher-timeframe reference levels
* Monitor how the M15 and 30-minute ranges close
* Track reactions relative to the session open level and the session VWAP
After the Open Box completes
* Assess price interaction with Open Box boundaries and first-hour levels
* Use microstructure signals (e.g., FOH/FOL, switches) for potential confirmation
* Refer to expansion levels as reference zones for management or target setting
After Session
* Review how price behaved relative to the Open Box, EQO levels, VWAPs, and expansion zones
* Analyse breakout attempts, fakeouts, and whether intraday structure aligned with the broader daily move
Example Workflow and Trade
1. Higher-timeframe analysis signals a Daily Fakeout Low Continuation (bullish context).
2. The New York session forms an Open Box; price breaks above and holds above the first-hour high.
3. A Fakeout Low + Switch Bar appears on M5 (via FO), after retesting the session VWAP triggering the entry.
4. 1x expansion level serves as reference targets for take profit.
Relation to the TrendPredator Ecosystem
The Open Box is part of the TrendPredator Indicator Family, designed to apply multi-timeframe logic consistently across:
* higher-timeframe context and setups
* intraday and session structure (OB)
* microstructure confirmation (FO)
Together, these modules offer a unified structure for analysing how daily and intraday cycles interact.
Disclaimer
This indicator is for educational purposes only and does not guarantee profits.
It does not provide buy or sell signals but highlights structural and behavioural areas for analysis.
Users are solely responsible for their trading decisions and outcomes.
Multi-Ticker Anchored CandlesMulti-Ticker Anchored Candles (MTAC) is a simple tool for overlaying up to 3 tickers onto the same chart. This is achieved by interpreting each symbol's OHLC data as percentages, then plotting their candle points relative to the main chart's open. This allows for a simple comparison of tickers to track performance or locate relationships between them.
> Background
The concept of multi-ticker analysis is not new, this type of analysis can be extremely helpful to get a gauge of the over all market, and it's sentiment. By analyzing more than one ticker at a time, relationships can often be observed between tickers as time progresses.
While seeing multiple charts on top of each other sounds like a good idea...each ticker has its own price scale, with some being only cents while others are thousands of dollars.
Directly overlaying these charts is not possible without modification to their sources.
By using a fixed point in time (Period Open) and percentage performance relative to that point for each ticker, we are able to directly overlay symbols regardless of their price scale differences.
The entire process used to make this indicator can be summed up into 2 keywords, "Scaling & Anchoring".
> Scaling
First, we start by determining a frame of reference for our analysis. The indicator uses timeframe inputs to determine sessions which are used, by default this is set to 1 day.
With this in place, we then determine our point of reference for scaling. While this could be any point in time, the most sensible for our application is the daily (or session) open.
Each symbol shares time, therefore, we can take a price point from a specified time (Opening Price) and use it to sync our analysis over each period.
Over the day, we track the percentage performance of each ticker's OHLC values relative to its daily open (% change from open).
Since each ticker's data is now tracked based on its opening price, all data is now using the same scale.
The scale is simply "% change from open".
> Anchoring
Now that we have our scaled data, we need to put it onto the chart.
Since each point of data is relative to it's daily open (anchor point), relatively speaking, all daily opens are now equal to each other.
By adding the scaled ticker data to the main chart's daily open, each of our resulting series will be properly scaled to the main chart's data based on percentages.
Congratulations, We have now accurately scaled multiple tickers onto one chart.
> Display
The indicator shows each requested ticker as different colored candlesticks plotted on top of the main chart.
Each ticker has an associated label in front of the current bar, each component of this label can be toggled on or off to allow only the desired information to be displayed.
To retain relevance, at the start of each session, a "Session Break" line is drawn, as well as the opening price for the session. These can also be toggled.
Note: The opening price is the opening price for ALL tickers, when a ticker crosses the open on the main chart, it is crossing its own opening price as well.
> Examples
In the chart below, we can see NYSE:MCD NASDAQ:WEN and NASDAQ:JACK overlaid on a NASDAQ:SBUX chart.
From this, we can see NASDAQ:JACK was the top gainer on the day. While this was the case, it also fell roughly 4% from its peak near lunchtime. Unlike the top gainer, we can see the other 3 tickers ended their day near their daily high.
In the explanations above, the daily timeframe is used since it is the default; however, the analysis is not constrained to only days. The anchoring period can be set to any timeframe period.
In the chart below, you can observe the Daily, Weekly, and Monthly anchored charts side-by-side.
This can be used on all tickers, timeframes, and markets. While a typical application may be comparing relevant assets... the script is not limited.
Below we have a chart tracking COMEX:GCV2026 , FX:EURUSD , and COINBASE:DOGEUSD on the AMEX:SPY chart.
While these tickers are not typically compared side-by-side, here it is simply a display of the capabilities of the script.
Enjoy!
🤖 DarkPool's Omni-MA APEX v3 🤖DarkPool's Omni-MA APEX v3 is an all-encompassing technical analysis suite designed to replace multiple indicators with a single, highly optimized tool. At its core, it features five independently customizable "Omni-MAs" capable of running various calculation models (SMA, EMA, HMA, LSMA, etc.) across multiple timeframes.
Beyond standard trend lines, the APEX v3 integrates a sophisticated "Market Structure Engine" that automatically plots Support & Resistance zones based on pivot points and volatility (ATR). It also features a "Trend Cloud" to visualize macro sentiment and a professional-grade Dashboard that aggregates data from over 10 different sources (RSI, MACD, OBV, Volume, etc.) to provide a real-time health check of the asset.
Key Features
5-Layer Omni-MA System: Five distinct moving averages with "Smart Coloring" that detects trends, consolidations (flat markets), and reversals.
Auto Support & Resistance: A dynamic algorithm that draws, updates, and prunes liquidity zones on the chart automatically.
Macro Trend Cloud: A visual background fill comparing Daily and Weekly momentum to keep you aligned with the higher timeframe.
Data Dashboard: A customizable panel displaying real-time metrics for Momentum, Volume, RSI, Divergences, and VWAP status.
Signal Generator: Alerts for MA crossovers, S/R breakouts, and trend shifts.
How to Use
1. The Omni-MAs (The Lines) The indicator plots up to five lines, color-coded for instant trend recognition:
Green/Blue: Price is above the previous value (Uptrend).
Red/Maroon: Price is below the previous value (Downtrend).
Gray: The line is flat (Consolidation/Chop).
MA 1-2 (Fast): Use these for entry triggers and scalping.
MA 3 (Medium): The "Anchor" line, often used as dynamic support.
MA 4-5 (Slow): The macro trend filters. If price is below MA 5, looking for longs is risky.
2. The Trend Cloud
Background Fill: This visualizes the difference between the Daily EMA and Weekly EMA.
Green Cloud: The Daily trend is above the Weekly trend (Strong Bullish Market).
Red Cloud: The Daily trend is below the Weekly trend (Strong Bearish Market).
3. Support & Resistance Zones
The Boxes: The script identifies pivot points and projects them forward as boxes.
Strategy: Watch for price to react at these zones. If a candle closes through a zone, it signals a Breakout (Green triangle) or Breakdown (Red triangle).
4. The Dashboard Located in the corner of your chart, this table provides a "Cockpit View" of the market:
Momentum Score: A composite score (-100 to +100) derived from RSI, MACD, and Stochastic.
Vol Ratio: Compares current volume to the average. A green bar indicates volume is higher than usual.
Market State: Classifies the market into regimes like "Volatile Bull," "Quiet Bear," or "Ranging."
Configuration Settings
Dashboard UI
Compact Mode: Reduces the table to show only the final Buy/Sell signal.
Active Widgets: Toggle individual data points (e.g., turn off "OBV" or "ADX" if you don't use them) to save screen space.
Global Analysis (Strategy Engine)
ATR Filter: Filters out "Weak" trends. If the price movement is too small (low volatility), signals are suppressed.
Volume MA: Sets the lookback period for calculating relative volume.
Support & Resistance
Pivot Sensitivity: Lower numbers find more zones (more noise); higher numbers find fewer, stronger zones.
Zone Width: Multiplies the ATR to determine how thick the S/R boxes should be.
MA Settings (1-5)
Type: Choose from SMA, EMA, WMA, HMA (Hull), VWMA, LSMA, ALMA, and more.
Timeframe: You can set MA 5 to "D" (Daily) while trading on a 15-minute chart to see the daily trend line overlaid.
Disclaimer This indicator is provided for educational and informational purposes only. It does not constitute financial advice, investment recommendations, or a guarantee of future results.
1D & 1W Institutional Trend The 1D & 1W Institutional Trend is a multi-timeframe (MTF) trend-following system designed to align traders with major "macro" market moves. Instead of relying on noisy intraday data, this indicator pulls data from the Daily (1D) and Weekly (1W) timeframes to construct a robust trend baseline, regardless of the chart timeframe you are currently viewing.
The core logic is based on the interaction between a Fast Institutional EMA (Daily) and a Slow Institutional EMA (Weekly). When the Daily trend crosses above the Weekly trend, it signals a significant shift in market structure. To ensure signal quality, the script incorporates a "Smart Filter" engine that checks for Momentum (RSI) and Volatility (ATR) before generating entry signals, preventing trades during exhausted or dead markets.
Key Features
Multi-Timeframe Engine: Projects Daily and Weekly moving averages onto lower timeframe charts (e.g., 1H or 4H) to show the "Big Picture."
Non-Repainting Logic: Utilizes closed-bar data to ensure that historical signals match live trading conditions strictly.
Algorithmic Filtering:
Momentum Filter: Rejects Buy signals if RSI is overbought and Sell signals if RSI is oversold.
Volatility Filter: Rejects signals during low-volatility "compression" zones using ATR.
Institutional Dashboard: A data panel tracking the macro trend status, trend strength (Spread %), and filter conditions.
How to Use
1. The Trend Cloud The visual core of the indicator is the "Cloud" formed between the two Moving Averages.
Green Cloud: The Daily Average is above the Weekly Average. The macro trend is Bullish. Look for long positions.
Red Cloud: The Daily Average is below the Weekly Average. The macro trend is Bearish. Look for short positions.
The Midline: The gray line represents the "Fair Value" price between the two timeframes. It often acts as dynamic support or resistance during a trend.
2. Signal Triangles Discrete shapes appear only when a crossover is confirmed AND all filters are met.
Up Triangle: Confirmed Bullish Crossover (Daily crosses over Weekly) + RSI is not overbought + Volatility is active.
Down Triangle: Confirmed Bearish Crossover (Daily crosses under Weekly) + RSI is not oversold + Volatility is active.
3. The Dashboard Located in the bottom right, this table provides a health check of the current trend:
Macro Trend: Displays BULLISH or BEARISH based on the cloud direction.
Trend Spread %: Measures the distance between the two EMAs. A widening percentage indicates a strengthening trend, while a narrowing percentage suggests momentum loss.
RSI Condition: Displays "SAFE" (good to trade) or "EXTENDED" (too risky).
Volatility: Displays "EXPANSION" (good movement) or "COMPRESSION" (flat market).
4. Timeframe Rules Because this indicator uses Daily and Weekly data, your chart timeframe must be lower than the Fast Trend Timeframe.
Correct: Viewing a 1-Hour chart with 1D/1W settings.
Incorrect: Viewing a Weekly chart with 1D/1W settings (this will trigger an error message on the screen).
Disclaimer: This indicator is provided for educational and informational purposes only. It does not constitute financial advice, investment recommendations, or a guarantee of future results.
Hybrid Flow Master📊 Hybrid Flow Master - Professional Trading Indicator
Overview
Hybrid Flow Master is an advanced all-in-one trading indicator that combines Smart Money Concepts, institutional order flow analysis, and multi-timeframe confluence scoring to identify high-probability trade setups. Designed for both scalpers and swing traders across all markets (Forex, Crypto, Stocks, Indices).
🎯 Key Features
1. Intelligent Confluence System (0-100% Scoring) Proprietary scoring algorithm that weighs multiple factors Only signals when minimum confidence threshold is met
Real-time probability calculations for each setup Signal quality grading: A+, A, B, C ratings
2. Smart Money Concepts (SMC)
Automatic Order Block detection (bullish/bearish) Fair Value Gap (FVG) identification
Market structure analysis (Higher Highs, Lower Lows) Swing high/low tracking with visual markers
3. Multi-Timeframe Analysis
Higher timeframe trend filter for confluence Customizable HTF periods (1H, 4H, Daily, etc.)
Prevents counter-trend trades Aligns entries with major trends
4. Volume Flow Analysis
Volume spike detection with customizable thresholds Volume delta calculations (buying vs selling pressure) Institutional footprint identification Background highlighting for high-volume bars
5. Advanced Risk Management
ATR-based stop loss calculation Automatic take profit levels Customizable risk/reward ratios (1:1, 1:2, 1:3+) Visual SL/TP lines on chart Position sizing guidance
6. Professional Dashboard
Real-time HUD displaying:
Market bias (Bullish/Bearish/Neutral)
Higher timeframe trend status
Current confluence percentage
Volume status (Normal/High)
RSI reading with color coding
ATR volatility measure
Signal quality grade
7. Smart Alert System
Bullish confluence signals
Bearish confluence signals
Volume spike notifications
Customizable alert messages
Works with mobile app notifications
📈 What Makes It Unique?
✅ No Repainting - All signals are confirmed and final
✅ Probability-Based - Shows confidence level, not just binary signals
✅ Multi-Factor Confluence - Combines structure, volume, momentum, and HTF analysis
✅ Clean Interface - Toggle individual components on/off
✅ Works on All Timeframes - From 1-minute scalping to daily swing trading
✅ Universal Markets - Forex, Crypto, Stocks, Indices, Commodities
🎨 Customization Options
Adjustable swing detection length
Volume threshold settings
Minimum confluence score filter
Custom color schemes
Dashboard position (4 corners)
Show/hide individual components
Risk/reward ratio adjustment
ATR multiplier for stops
📊 Best Used For:
✔️ Scalping (1m - 15m charts)
✔️ Day Trading (15m - 1H charts)
✔️ Swing Trading (4H - Daily charts)
✔️ Trend Following
✔️ Reversal Trading
✔️ Breakout Trading
💡 How to Use:
Add indicator to chart - Works immediately with default settings Set your timeframe - Choose your trading style Wait for signals - Green BUY or Red SELL labels with confidence %
Check confluence score - Higher % = better quality setup Review dashboard - Confirm market bias and HTF trend Manage risk - Use provided SL/TP levels or adjust to your preference
Set alerts - Get notified of high-probability setups
⚙️ Recommended Settings:
For Scalping (1m-5m):
Swing Length: 5-7
Min Confluence: 70%
HTF: 15m or 1H
For Day Trading (15m-1H):
Swing Length: 10-15
Min Confluence: 60%
HTF: 4H or Daily
For Swing Trading (4H-Daily):
Swing Length: 15-20
Min Confluence: 50-60%
HTF: Weekly
📚 Indicator Components:
✦ Market Structure Detection
✦ Order Block Identification
✦ Fair Value Gaps (FVG)
✦ Volume Analysis
✦ RSI (14)
✦ MACD (12, 26, 9)
✦ ATR (14)
✦ Multi-Timeframe Trend
✦ Confluence Scoring Algorithm
🚀 Performance Notes:
Optimized for speed and efficiency Minimal CPU usage Clean chart presentation
Limited drawing objects (no chart clutter) Works on all TradingView plans
⚠️ Important Notes:
This indicator is a tool to assist trading decisions, not financial advice Always use proper risk management (1-2% per trade recommended) Backtest on your preferred market and timeframe
Combine with your own analysis and strategy Past performance does not guarantee future results
🔔 Alert Setup:
Right-click indicator name → "Add Alert" → Choose:
"Bullish Confluence Signal" for buy setups
"Bearish Confluence Signal" for sell setups
"Volume Spike Alert" for unusual activity
💬 Support:
For questions, suggestions, or custom modifications, feel free to message me directly through TradingView.
Floor Trader PivotsGenerated by: Claude Sonnet 4.5
Pine Script that draws Floor Trader Pivots using 'daily' price levels with configurable options.
Key Features:
Pivot Calculation: Uses the classic formula: Pivot = (High + Low + Close) / 3
Resistance levels: R1, R2, R3
Support levels: S1, S2, S3
Optional mid-pivots between main levels
Configurable Settings:
Timeframe: Choose Daily, Weekly, or Monthly pivots
Display toggles: Show/hide individual levels
Colors: Customize each level's color
Line style: Solid, dashed, or dotted
Line width: 1-5 pixels
Extension: None, right, or both directions
Labels: Show/hide with left or right positioning
Calculations:
R1 = 2×Pivot - Low
R2 = Pivot + (High - Low)
R3 = R1 + (High - Low)
S1 = 2×Pivot - High
S2 = Pivot - (High - Low)
S3 = S1 - (High - Low)
Uses daily price levels specifically.
Added daily-specific data fetching: The script now explicitly fetches both current day and previous day's high, low, and close prices
Calculations use daily data: All pivot calculations now use prevDailyH, prevDailyL, and prevDailyC (previous day's high, low, close)
Kept the timeframe input: You can still change it if you want weekly or monthly pivots, but it now defaults to and emphasizes daily calculations
The Floor Trader Pivots will now always be based on the previous day's price action, which is the traditional method floor traders use. This is particularly useful for intraday trading as these levels update daily and provide key support/resistance zones.
Pivot Points Standard + 9/20/50/200 EMA by NK//@version=6
indicator("Pivot Points Standard + 9/20/50/200 EMA", "Pivots+EMA", overlay=true, max_lines_count=500, max_labels_count=500)
// --- EMA calculations and plots
ema9 = ta.ema(close, 9)
ema20 = ta.ema(close, 20)
ema50 = ta.ema(close, 50)
ema200 = ta.ema(close, 200)
plot(ema9, color=color.green, linewidth=2, title="EMA 9")
plot(ema20, color=color.red, linewidth=2, title="EMA 20")
plot(ema50, color=color.new(color.blue, 0), linewidth=2, title="EMA 50") // dark blue
plot(ema200, color=color.black, linewidth=2, title="EMA 200")
// --- Pivots Inputs
pivotTypeInput = input.string(title="Type", defval="Traditional", options= )
pivotAnchorInput = input.string(title="Pivots Timeframe", defval="Auto", options= )
maxHistoricalPivotsInput = input.int(title="Number of Pivots Back", defval=15, minval=1, maxval=200, display = display.data_window)
isDailyBasedInput = input.bool(title="Use Daily-based Values", defval=true, display = display.data_window, tooltip="When this option is unchecked, Pivot Points will use intraday data while calculating on intraday charts. If Extended Hours are displayed on the chart, they will be taken into account during the pivot level calculation. If intraday OHLC values are different from daily-based values (normal for stocks), the pivot levels will also differ.")
showLabelsInput = input.bool(title="Show Labels", defval=true, group="labels", display = display.data_window)
showPricesInput = input.bool(title="Show Prices", defval=true, group="labels", display = display.data_window)
positionLabelsInput = input.string("Left", "Labels Position", options= , group="labels", display = display.data_window, active = showLabelsInput or showPricesInput)
linewidthInput = input.int(title="Line Width", defval=1, minval=1, maxval=100, group="levels", display = display.data_window)
DEFAULT_COLOR = #FB8C00
showLevel2and3 = pivotTypeInput != "DM"
showLevel4 = pivotTypeInput != "DM" and pivotTypeInput != "Fibonacci"
showLevel5 = pivotTypeInput == "Traditional" or pivotTypeInput == "Camarilla"
pColorInput = input.color(DEFAULT_COLOR, "P ", inline="P", group="levels", display = display.data_window)
pShowInput = input.bool(true, "", inline="P", group="levels", display = display.data_window)
s1ColorInput = input.color(DEFAULT_COLOR, "S1", inline="S1/R1" , group="levels", display = display.data_window)
s1ShowInput = input.bool(true, "", inline="S1/R1", group="levels", display = display.data_window)
r1ColorInput = input.color(DEFAULT_COLOR, " R1", inline="S1/R1", group="levels", display = display.data_window)
r1ShowInput = input.bool(true, "", inline="S1/R1", group="levels", display = display.data_window)
s2ColorInput = input.color(DEFAULT_COLOR, "S2", inline="S2/R2", group="levels", display = display.data_window, active = showLevel2and3)
s2ShowInput = input.bool(true, "", inline="S2/R2", group="levels", display = display.data_window, active = showLevel2and3)
r2ColorInput = input.color(DEFAULT_COLOR, " R2", inline="S2/R2", group="levels", display = display.data_window, active = showLevel2and3)
r2ShowInput = input.bool(true, "", inline="S2/R2", group="levels", display = display.data_window, active = showLevel2and3)
s3ColorInput = input.color(DEFAULT_COLOR, "S3", inline="S3/R3", group="levels", display = display.data_window, active = showLevel2and3)
s3ShowInput = input.bool(true, "", inline="S3/R3", group="levels", display = display.data_window, active = showLevel2and3)
r3ColorInput = input.color(DEFAULT_COLOR, " R3", inline="S3/R3", group="levels", display = display.data_window, active = showLevel2and3)
r3ShowInput = input.bool(true, "", inline="S3/R3", group="levels", display = display.data_window, active = showLevel2and3)
s4ColorInput = input.color(DEFAULT_COLOR, "S4", inline="S4/R4", group="levels", display = display.data_window, active = showLevel4)
s4ShowInput = input.bool(true, "", inline="S4/R4", group="levels", display = display.data_window, active = showLevel4)
r4ColorInput = input.color(DEFAULT_COLOR, " R4", inline="S4/R4", group="levels", display = display.data_window, active = showLevel4)
r4ShowInput = input.bool(true, "", inline="S4/R4", group="levels", display = display.data_window, active = showLevel4)
s5ColorInput = input.color(DEFAULT_COLOR, "S5", inline="S5/R5", group="levels", display = display.data_window, active = showLevel5)
s5ShowInput = input.bool(true, "", inline="S5/R5", group="levels", display = display.data_window, active = showLevel5)
r5ColorInput = input.color(DEFAULT_COLOR, " R5", inline="S5/R5", group="levels", display = display.data_window, active = showLevel5)
r5ShowInput = input.bool(true, "", inline="S5/R5", group="levels", display = display.data_window, active = showLevel5)
type graphicSettings
string levelName
color levelColor
bool showLevel
var graphicSettingsArray = array.from(
graphicSettings.new(" P", pColorInput, pShowInput),
graphicSettings.new("R1", r1ColorInput, r1ShowInput), graphicSettings.new("S1", s1ColorInput, s1ShowInput),
graphicSettings.new("R2", r2ColorInput, r2ShowInput), graphicSettings.new("S2", s2ColorInput, s2ShowInput),
graphicSettings.new("R3", r3ColorInput, r3ShowInput), graphicSettings.new("S3", s3ColorInput, s3ShowInput),
graphicSettings.new("R4", r4ColorInput, r4ShowInput), graphicSettings.new("S4", s4ColorInput, s4ShowInput),
graphicSettings.new("R5", r5ColorInput, r5ShowInput), graphicSettings.new("S5", s5ColorInput, s5ShowInput))
autoAnchor = switch
timeframe.isintraday => timeframe.multiplier <= 15 ? "1D" : "1W"
timeframe.isdaily => "1M"
=> "12M"
pivotTimeframe = switch pivotAnchorInput
"Auto" => autoAnchor
"Daily" => "1D"
"Weekly" => "1W"
"Monthly" => "1M"
"Quarterly" => "3M"
=> "12M"
pivotYearMultiplier = switch pivotAnchorInput
"Biyearly" => 2
"Triyearly" => 3
"Quinquennially" => 5
"Decennially" => 10
=> 1
numOfPivotLevels = switch pivotTypeInput
"Traditional" => 11
"Camarilla" => 11
"Woodie" => 9
"Classic" => 9
"Fibonacci" => 7
"DM" => 3
type pivotGraphic
line pivotLine
label pivotLabel
method delete(pivotGraphic graphic) =>
graphic.pivotLine.delete()
graphic.pivotLabel.delete()
var drawnGraphics = matrix.new()
localPivotTimeframeChange = timeframe.change(pivotTimeframe) and year % pivotYearMultiplier == 0
securityPivotTimeframeChange = timeframe.change(timeframe.period) and year % pivotYearMultiplier == 0
pivotTimeframeChangeCounter(condition) =>
var count = 0
if condition and bar_index > 0
count += 1
count
localPivots = ta.pivot_point_levels(pivotTypeInput, localPivotTimeframeChange)
securityPivotPointsArray = ta.pivot_point_levels(pivotTypeInput, securityPivotTimeframeChange)
securityTimeframe = timeframe.isintraday ? "1D" : timeframe.period
= request.security(syminfo.tickerid, pivotTimeframe, , lookahead = barmerge.lookahead_on)
pivotPointsArray = isDailyBasedInput ? securityPivots : localPivots
affixOldPivots(endTime) =>
if drawnGraphics.rows() > 0
lastGraphics = drawnGraphics.row(drawnGraphics.rows() - 1)
for graphic in lastGraphics
graphic.pivotLine.set_x2(endTime)
if positionLabelsInput == "Right"
graphic.pivotLabel.set_x(endTime)
drawNewPivots(startTime) =>
newGraphics = array.new()
for in pivotPointsArray
levelSettings = graphicSettingsArray.get(index)
if not na(coord) and levelSettings.showLevel
lineEndTime = startTime + timeframe.in_seconds(pivotTimeframe) * 1000 * pivotYearMultiplier
pivotLine = line.new(startTime, coord, lineEndTime, coord, xloc = xloc.bar_time, color=levelSettings.levelColor, width=linewidthInput)
pivotLabel = label.new(x = positionLabelsInput == "Left" ? startTime : lineEndTime,
y = coord,
text = (showLabelsInput ? levelSettings.levelName + " " : "") + (showPricesInput ? "(" + str.tostring(coord, format.mintick) + ")" : ""),
style = positionLabelsInput == "Left" ? label.style_label_right : label.style_label_left,
textcolor = levelSettings.levelColor,
color = #00000000,
xloc=xloc.bar_time)
newGraphics.push(pivotGraphic.new(pivotLine, pivotLabel))
drawnGraphics.add_row(array_id = newGraphics)
if drawnGraphics.rows() > maxHistoricalPivotsInput
oldGraphics = drawnGraphics.remove_row(0)
for graphic in oldGraphics
graphic.delete()
localPivotDrawConditionStatic = not isDailyBasedInput and localPivotTimeframeChange
securityPivotDrawConditionStatic = isDailyBasedInput and securityPivotCounter != securityPivotCounter
var isMultiYearly = array.from("Biyearly", "Triyearly", "Quinquennially", "Decennially").includes(pivotAnchorInput)
localPivotDrawConditionDeveloping = not isDailyBasedInput and time_close == time_close(pivotTimeframe) and not isMultiYearly
securityPivotDrawConditionDeveloping = false
if (securityPivotDrawConditionStatic or localPivotDrawConditionStatic)
affixOldPivots(time)
drawNewPivots(time)
var FIRST_BAR_TIME = time
if (barstate.islastconfirmedhistory and drawnGraphics.columns() == 0)
if not na(securityPivots) and securityPivotCounter > 0
if isDailyBasedInput
drawNewPivots(FIRST_BAR_TIME)
else
runtime.error("Not enough intraday data to calculate Pivot Points. Lower the Pivots Timeframe or turn on the 'Use Daily-based Values' option in the indicator settings.")
else
runtime.error("Not enough data to calculate Pivot Points. Lower the Pivots Timeframe in the indicator settings.")
AP Capital – Volatility + High/Low Projection v1.1📌 AP Capital – Volatility + High/Low Projection v1.1
Predictive Daily Volatility • Session Logic • High/Low Projection Indicator
This indicator is designed to help traders visually understand daily volatility conditions, identify session-based turning points, and anticipate potential highs and lows of the day using statistical behavior observed across thousands of bars of intraday data.
It combines intraday session structure, volatility regime classification, and context from the previous day’s expansion to highlight high-probability areas where the market may set its daily high or daily low.
🔍 What This Indicator Does
1. Volatility Regime Detection
Each day is classified into:
🔴 High Volatility (trend continuation & expansion likely)
🟡 Normal Volatility
🔵 Low Volatility (chop, false breaks, mean-reversion common)
The background color automatically adapts so you always know what environment you're trading in.
2. Session-Based High/Low Identification
Different global sessions tend to create different market behaviors:
Asia session frequently sets the LOW of day
New York & Late US sessions frequently set the HIGH of day
This indicator uses those probabilities to highlight potential turning points.
3. Potential High / Low of Day Projections
The script plots:
🟢 Potential LOW of Day
🔴 Potential HIGH of Day
These appear only when:
Price hits the session-statistical turning zone
Volatility conditions match
Yesterday’s expansion or compression context agrees
This keeps signals clean and prevents over-marking.
4. Clean Visuals
Instead of cluttering the chart, highs and lows are marked only when conditions align, making this tool ideal for:
Session scalpers
Day traders
Gold / NAS100 / FX intraday traders
High-probability reversal traders
🧠 How It Works
The engine combines:
Daily range vs 20-day average
Real-time intraday high/low formation
Session-specific probability weighting
Previous day expansion and volatility filters
This results in highly reliable signals for:
Fade trades
Reversal setups
Timing entries more accurately
✔️ Best Uses
Identifying where the day’s range is likely to complete
Avoiding trades during low-volatility compression days
Detecting where the market is likely to turn during major sessions
Using potential HIGH/LOW levels as take-profit zones
Enhancing breakout or reversal strategies
⚠️ Disclaimer
This indicator does not repaint, but it is not a standalone entry tool.
It is designed to provide context, session awareness, and volatility-driven turning points to assist your existing strategy.
Always combine with sound risk management.
Oracle Pivot Engine (OPE) — @darshaksscThe Oracle Pivot Engine (OPE) is a market-structure visualization tool that derives all its levels exclusively from historical price data — specifically, the previous day’s high, low, and mid-range.
It does not provide signals, alerts, entries, exits, predictions, or trade recommendations.
Instead, it creates a non-repainting reference framework that helps users observe how the current session interacts with the prior session’s completed price structure.
All calculations are analytical, static, and based on fully closed candles.
🧠 How It Works (Core Logic Explained)
OPE computes the following values from the completed prior daily candle:
Prior-Day High
Prior-Day Low
Prior-Day Midpoint
Displacement Range = High − Low
This displacement range is used to generate symmetrical upward and downward reference zones.
These levels do not update during the session.
They refresh only once per day when a new daily candle closes.
This ensures the indicator remains fully non-repainting and stable on every intraday chart.
📐 Reference Levels Generated
Using the fixed prior-day displacement range, OPE plots:
1. BUY-Side Reference Map (Upward Bias)
BUY Reference Entry
BUY Reference Stop
BUY T1
BUY T2
BUY T3
BUY T4
BUY T5
BUY T6
These are not trade signals — they are mathematical extensions above the prior-day midpoint for structural interpretation only.
2. SELL-Side Reference Map (Downward Bias)
SELL Reference Entry
SELL Reference Stop
SELL T1
SELL T2
SELL T3
SELL T4
SELL T5
SELL T6
Again, these levels are not directives.
They are mirrored displacement extensions below the prior-day midpoint.
📊 Pivot Zone & Bands
The indicator includes optional visual layers derived from the same prior-day pivots:
Pivot High–Low Zone Shading → shows the prior-day full range
Pivot Midline → prior-day mid-price
Outer Displacement Bands → extended contextual boundaries
These are purely visual boundaries meant to improve market context.
🧾 Dashboard / HUD Explanation
A compact on-chart HUD summarizes all values.
It displays:
Section | Information (All Historical)
Prior-Day Pivots | High, Low, Mid, Range
BUY Map | Entry, Stop, T1–T6
SELL Map | Entry, Stop, T1–T6
The HUD allows you to quickly review:
Where the current price is relative to the previous day’s structure
How far price is from each level
Whether the session is operating inside or outside the prior-day displacement zones
Everything shown is static, non-repainting , and for reference only .
📊 How to Analyze It
✔ 1. Contextual Awareness
OPE helps users visually compare current intraday price to prior daily structure.
You can observe whether price is:
Inside yesterday’s high/low zone
Above the prior-day displacement
Below the prior-day displacement
This offers a clearer understanding of daily context and volatility.
✔ 2. Structural Symmetry
The BUY-side and SELL-side maps extend from the same pivot logic.
This can help visualize:
Expansion away from the prior-day midpoint
Compression within the prior-day range
Symmetrical displacement around key reference levels
Again — these are observational insights , not signals.
✔ 3. Range Interaction
As the session unfolds, users often study:
How price reacts around prior-day midpoint
Whether price is gravitating toward or away from the displacement levels
How intraday swings behave within these historical boundaries
This type of analysis is contextual , not predictive.
⚠️ Important Disclosures
This script does NOT generate trading signals.
It does NOT predict future price movement.
It does NOT contain advice, instructions, recommendations, or strategies.
All levels are derived exclusively from historical daily candle data .
This is strictly an informational visualization tool meant to support chart analysis.
Past price levels do not guarantee any future price behavior.
🛑 Disclaimer
This indicator is provided solely for educational and informational purposes.
It should not be interpreted as financial advice or a call to action of any kind.
Users should apply independent judgment and discretion when analyzing markets.
The Strat Lite [rdjxyz]◆ OVERVIEW
The Strat Lite is a stripped down version of the Strat Assistant indicator by rickyzcarroll—focusing on visual simplicity and script performance. If you're new to The Strat, you may prefer the Strat Assistant as a learning aid.
◇ FEATURES REMOVED FROM THE ORIGINAL SCRIPT
Candle Numbering & Up/Down Arrows
Previous Week High & Low Lines
Previous Day High & Low Lines
Action Wick Percentage
Actionable Signals Plot
Strat Combo Plots
Extensive Alerts
◇ FEATURES KEPT FROM THE ORIGINAL SCRIPT
Full Timeframe Continuity
Candle Coloring
◇ FEATURES ADDED TO THE ORIGINAL SCRIPT
Failed 2 Down Classification
Failed 2 Up Classification
◆ DETAILS
The Strat is a trading methodology developed by Rob Smith that offers an objective approach to trading by focusing on the 3 universal scenarios regarding candle behavior:
SCENARIO ONE
The 1 Bar - Inside Bar: A candle that doesn't take out the highs or the lows of the previous candle; aka consolidation.
These are shown as gray candles by default.
SCENARIO TWO
The 2 Bar - Directional Bar: A candle that takes out one side of the previous candle; aka trending (or at least attempting to trend).
SCENARIO THREE
The 3 Bar - Outside Bar: A candle that takes out both sides of the previous candle; aka broadening formation.
In addition to Rob's 3 universal scenarios, this indicator identifies two variations of 2 bars:
Failed 2 up: A candle that takes out the high of the previous candle but closes bearish.
Failed 2 down: A candle that takes out the low of the previous candle but closes bullish.
◆ SETTINGS
◇ INPUTS
FTC (FULL TIMEFRAME CONTINUITY)
Show/hide FTC plots
Offset FTC plots from current bar
◇ STYLE
STRAT COLORS
Color 0 (Failed 2 Up) - Default is fuchsia
Color 1 (Failed 2 Down) - Default is teal
Color 2 (Inside 1) - Default is gray
Color 3 (Outside 3) - Default is dark purple
Color 4 (2 up) - Default is aqua
Color 5 (2 down) - Default is white
◆ USAGE
It's recommended to use The Strat Lite with a top down analysis so you can find lower timeframe positions with higher timeframe context.
◇ TOP DOWN ANALYSIS
MONTHLY LEVELS
Starting on a monthly chart, the previous month's high and low are manually plotted.
WEEKLY LEVELS
Dropping down to a weekly chart, the previous week's high and low are manually plotted.
DAILY LEVELS
Dropping down to a daily chart, the previous day's high and low are manually plotted.
12H LEVELS
Dropping down to a 12h chart, the previous 12h's high and low are manually plotted.
ANALYSIS
The monthly low was broken, creating a lower low (aka a broadening formation), signalling potential exhaustion risk, which can be a catalyst for reversals. The daily candle that tested the monthly low closed as a Failed 2 Down—potentially an early sign of a reversal. With these 2 confluences, it's reasonable to expect the next daily candle to be a 2 Up. Now it's time to look for a lower timeframe entry.
◇ LOWER TIMEFRAME POSITION
HOURLY PRICE ACTION
Dropping down to an hourly chart, we're anticipating a 2 Up on the daily timeframe, so we're looking for a bullish pattern to enter a position long. I personally like the 6:00 AM UTC-5 hourly candle, as it's the midpoint of the day (for futures).
In this specific example, we see the opening gap was filled and there's a potential 2-1-2 bullish reversal set up.
At this point, price can either do one of 5 things:
Form another 1 (inside) candle
Form a 2 up (directional) candle
Form a 2 down (directional) candle
Form a 2 up, fail, and potentially flip to form a bearish 3 (outside) candle
Form a 2 down, fail, and potentially flip to form a bullish 3 (outside) candle
Knowing the finite potential outcomes helps us set up our positions, manage them accordingly, and flip bias if needed.
POSITION SETUP
Here we can set up a position long AND short. To go long, we set a buy stop at the 1h high and stop loss just below the 50% level of the inside candle; to go short, we set a sell stop at 1h low and stop loss just above the 50% level of the inside candle.
If the short gets triggered first, we can wait for price to move in our favor before cancelling the buy order. If the short becomes a failed 2 down, potentially reversing to become a bullish 3, we can either wait for the stop loss to trigger and for the long position to trigger OR we can move the buy stop to our short stop loss and move the long stop loss to the low of the 1h candle.
POSITION REFINEMENT
For an even tighter risk-to-reward, we can drop to a lower timeframe and look for setups that would be an early trigger of the 1h entry. Just know, the lower you go the more noise there is—increasing risk of getting stopped out before the 1h trigger.
Above are 30m refined entries.
In this example, the long buy stop was triggered. It closed bullish, so the sell stop order can be cancelled.
◇ TARGETS & POSITION MANAGEMENT
TARGETS
These depend on whether you intend to scalp, day trade, or swing trade, but targets are typically the highs of previous candles (when bullish) and lows of previous candles (when bearish). It's advised to be cautious of swing pivots as there's a risk of exhaustion and reversal at these levels.
In this example, the nearest target was the previous 12h high and the next target was the previous day high; if you're a swing trader, you could target previous week's high and previous month's high.
POSITION MANAGEMENT
This largely depends on your risk tolerance, but it's common to either:
Move stop loss slightly into profit
Trail stop loss behind higher highs (bullish) or lower lows (bearish)
Scale out of positions at potential pivot points, leaving a runner
Scale into positions on pullbacks on the way to target
◆ WRAP UP
As demonstrated, The Strat Lite offers a stripped down version of the Strat Assistant—making it visually simple for more experienced Strat traders. By following a top-down approach with The Strat methodology, you can find high probability setups and manage risk with relative ease.
◆ DISCLAIMER
This indicator is a tool for visual analysis and is intended to assist traders who follow The Strat methodology. As with any trading methodology, there's no guarantee of profits; trading involves a high degree of risk and you could lose all of your invested capital. The example shown is of past performance and is not indicative of future results and does not constitute and should not be construed as investment advice. All trading decisions and investments made by you are at your own discretion and risk. Under no circumstances shall the author be liable for any direct, indirect, or incidental damages. You should only risk capital you can afford to lose.
Tactical Deviation🎯 TACTICAL DEVIATION - Volume-Backed VWAP Deviation Analysis
What Makes This Different?
Unlike basic VWAP indicators, Tactical Deviation combines:
• Multi-timeframe VWAP deviation bands (Daily/Weekly/Monthly)
• Volume spike intelligence - signals only appear with volume confirmation
• Pivot reversal detection at deviation extremes
• Optional multi-VWAP confluence system
• Smart defaults for quality over quantity
This unique combination filters weak setups and identifies high-probability entries at extreme price deviations from fair value.
📊 DEFAULT SETTINGS (Ready to Use)
✅ Daily VWAP with ±2σ deviation bands
✅ Volume spike detection (1.5x average required)
✅ 2σ minimum deviation for signals
❌ Weekly/Monthly VWAPs (enable for multi-timeframe)
❌ Pivot reversal requirement (enable for stronger signals)
❌ Fill zones (optional visual enhancement)
Why: Daily VWAP is most relevant for intraday trading. 2σ bands catch meaningful moves. Volume spikes ensure conviction. Clean chart focuses on what matters.
🚀 HOW TO USE
BASIC USAGE:
• Green triangles (below bars) = Long signals at oversold deviations
• Red triangles (above bars) = Short signals at overbought deviations
SIGNAL QUALITY:
• Normal size, bright colors = Volume spike (best quality)
• Small size, lighter colors = Volume momentum
• Tiny size = No volume confirmation
DEVIATION ZONES:
• ±2σ = Extreme deviation (signals appear here)
• ±1σ to ±2σ = Extended but not extreme
• Within ±1σ = Normal range
TRADING APPROACHES:
Mean Reversion:
→ Enter when price reaches ±2σ with volume spike
→ Target: Return to VWAP or opposite band
→ Stop: Beyond extreme deviation
Trend Continuation:
→ Use bands to identify pullbacks
→ Enter pullback to VWAP in trending market
→ Volume confirms continuation
Reversal Trading:
→ Enable "Require Pivot Reversal" for stronger signals
→ Signals only when deviation + pivot reversal occur
→ Higher probability, fewer signals
⚙️ EXPLORE SETTINGS FOR FULL USE
VWAP SETTINGS:
• Show Weekly/Monthly VWAP = Multi-timeframe context
• Show ±1σ Bands = Normal deviation range
• Show ±3σ Bands = Extreme extremes (rare but powerful)
SIGNAL SETTINGS:
• Min Deviation: 1σ (more signals) | 2σ (default) | 3σ (fewer, extreme only)
• Require Pivot Reversal: OFF (default) | ON (stronger but fewer)
• Volume Spike Threshold: 1.5x (default) | 2.0x+ (major spikes) | 1.2x (more signals)
CONFLUENCE SETTINGS:
• Require Multi-VWAP Confluence: OFF (default) | ON (2+ VWAPs must agree)
• Min VWAPs: 2 (Daily + Weekly/Monthly) | 3 (all must agree)
VISUAL SETTINGS:
• Show Fill Zones = Shaded areas between bands
• Fill Opacity = Transparency adjustment
• Line Widths = Customize thickness
💡 PRO TIPS
1. Start with defaults, then enable features as you learn
2. Volume spike requirement filters weak moves - keep it enabled
3. Enable Weekly/Monthly VWAPs for higher timeframe context
4. Enable confluence for swing trading setups
5. Pivot reversals: ON for reversals, OFF for continuations
6. Check top-right info table for current deviation levels
🎨 VISUAL GUIDE
• Cyan Line = Daily VWAP (fair value)
• Cyan Bands = Daily deviation zones
• Orange Line = Weekly VWAP (if enabled)
• Purple Line = Monthly VWAP (if enabled)
• Green Triangle = Long signal (oversold)
• Red Triangle = Short signal (overbought)
⚠️ IMPORTANT
Educational purposes only. Always use proper risk management. Signals are based on statistical deviation, not guarantees. Volume confirmation improves quality but doesn't guarantee outcomes. Combine with your own analysis.
The unique combination of VWAP deviation analysis, volume profile confirmation, pivot identification, and multi-timeframe confluence in a single clean interface makes Tactical Deviation different from basic VWAP indicators.
Happy Trading! 📈
Vital Wave 20-50Simplicity is almost always the most effective approach, and here I’m giving you a trend-following system that exploits the bullish bias of traditional markets and their trending nature, with very basic rules.
Rules (long entries only)
• Market entry: When the EMA 20 crosses above the EMA 50 (from below)
• Main market exit: When the EMA 20 crosses below the EMA 50 (from above)
• Fixed Stop Loss: Placed at the price level of the Lower Bollinger Band at the moment the trade is entered.
In my strategy, the primary exit is when the EMA 20 crosses below the EMA 50. However, this crossover can sometimes take a while to occur, and in the meantime the price may have already dropped significantly. The Stop Loss based on the Lower Bollinger Band is designed to limit losses in case the market moves sharply against the position without giving the bearish crossover signal in time. Having two exit conditions makes the strategy much more robust in terms of risk management.
Risk Management:
• Initial capital: $10,000
• Position size: 10% of available capital per trade
• Commissions: 0.1% on traded volume
• Stop Loss: Based on the Lower Bollinger Band
• Take Profit / Exit: When EMA 20 crosses below EMA 50
Recommended Markets:
XAUUSD (OANDA) (Daily)
Period: January 3, 1833 – November 23, 2025
Total Profit & Loss: +$6,030.62 USD (+57.57%)
Maximum Drawdown: $541.53 USD (3.83%)
Total Trades: 136
Winning Trades (Win Rate): 36.03% (49/136)
Profit Factor: 2.483
XAUUSD (OANDA) (12-hour)
Period: March 19, 2006 – November 23, 2025
Total Profit & Loss: +$1,209.56 USD (+11.89%)
Maximum Drawdown: $384.58 USD (3.61%)
Total Trades: 97
Winning Trades (Win Rate): 35.05% (34/97)
Profit Factor: 1.676
XAUUSD (OANDA) (8-hour)
Period: March 19, 2006 – November 23, 2025
Total Profit & Loss: +$1,179.36 USD (+11.81%)
Maximum Drawdown: $246.88 USD (2.32%)
Total Trades: 147
Winning Trades (Win Rate): 31.97% (47/147)
Profit Factor: 1.626
Tesla (NASDAQ) (4-hour)
Period: June 29, 2010 – November 23, 2025
Total Profit & Loss (Absolute): +$11,687.90 USD (+116.88%)
Maximum Drawdown: $922.05 USD (6.50%)
Total Trades: 68
Winning Trades (Win Rate): 39.71% (27/68)
Profit Factor: 4.156
Tesla (NASDAQ) (3-hour)
Total Profit & Loss: +$11,522.33 USD (+115.22%)
Maximum Drawdown: $1,247.60 USD (8.80%)
Total Trades: 114
Winning Trades: 33.33% (38/114)
Profit Factor: 2.811
Additional Recommendations
(These assets have shown good trending behavior with the same strategy across multiple timeframes):
• NVDA (15 min, 30 min, 1h, 2h, 3h, 4h, 6h, 8h, 12h, Daily)
• NFLX (1h, 2h, 3h, 4h, 6h, 8h, 12h, Daily)
• MA (1h, 2h, 3h, 4h, 6h, 8h, 12h, Daily)
• META (1h, 2h, 3h, 4h, 6h, 8h, 12h, Daily)
• AAPL (1h, 2h, 3h, 4h, 6h, 8h, 12h, Daily)
• SPY (12h, Daily)
About the Code
The user can modify:
• EMA periods (20 and 50 by default)
• Bollinger Bands length (20 periods)
• Standard deviation (2.0)
Visualization
• EMA 20: Blue line
• EMA 50: Red line
• Green background when EMA20 > EMA50 (bullish trend)
• Red background when EMA20 < EMA50 (bearish trend)
Important Note:
We can significantly increase the profit factor and overall profitability by risking a fixed percentage per trade instead of a fixed amount. This would prevent losses from fluctuating with changes in volatility.
This could be implemented by reducing position size or adjusting leverage based on the volatility percentage required for each trade, but I’m not sure if this is fully possible in Pine Script. In my other script, “ Golden Cross 50/200 EMA ,” I go deeper into this topic and provide examples.
I hope you enjoy this contribution. Best regards!
Dynamic S&R Projector [Polarity Flip]Support and Resistance should not be static. It should tell a story.
Most traders clutter their charts with manually drawn lines, often forgetting which ones were important or which timeframe they came from. This indicator automates the entire process of identifying market structure, adapting dynamically to your trading style while using Volume Price Analysis (VPA) to separate "Smart Money" levels from random noise.
It combines three professional concepts into one tool: Multi-Timeframe Projection, Volume Strength Filtering, and Live Polarity Flipping.
Who is this for?
Day Traders: Project Daily levels onto your 1-minute or 5-minute charts. Stop trading in a vacuum; see the walls before you hit them.
Swing Traders: Project Weekly levels onto your Daily chart to find major trend reversals.
Investors: Project Monthly levels to identify multi-year accumulation zones.
Core Features
1. Smart Timeframe (Auto-Detection) No more toggling settings. The indicator detects what chart you are viewing and automatically projects the next significant Higher Timeframe (HTF) structure:
Viewing Intraday (< Daily)? → Projects Daily Pivots.
Viewing Daily? → Projects Weekly Pivots.
Viewing Weekly? → Projects Monthly Pivots.
2. VPA Strength Filtering (The "Truth" Serum) Not all levels are equal. This script grades every pivot based on the volume activity at the moment it was formed:
Thick Solid Line: Formed on High Volume (>1.5x Average). This is an "Institutional Level." Expect hard bounces.
Thin Dashed Line: Formed on Low Volume. This is a weak structure.
3. Live Polarity Flip (Support ↔ Resistance) The script monitors price action in real-time to respect the "Principle of Polarity."
Wick Protection: The color change is based strictly on the Candle Close. If price wicks through a level but closes back inside, the line retains its original color (rejecting the fakeout).
The Flip: Once price successfully closes past a level, the color instantly flips (Red becomes Green, or Green becomes Red) to indicate the new market state.
How to Trade This Indicator (Example Strategies)
Strategy A: The "Concrete Wall" Bounce (Day & Swing) Identify a Thick Green Line below the current price. This represents a Strong HTF Support defended by institutional volume.
Action: Set Limit Buy orders at the line or wait for a bullish reversal candle (Hammer) to form at the touch.
Strategy B: The "Paper Wall" Breakout (Momentum) Identify price approaching a Thin Dashed Red Line (Weak Resistance).
Action: Since this level lacks volume backing, do not fade it. Look for a breakout setup as price is likely to slice through easily.
Strategy C: The "Flip & Retest" (Trend Following) Watch for a Thick Red Line to turn Green. This means resistance has been conquered.
Action: Wait for price to pull back to this new Green line. If it holds (the line stays Green), enter long. You are now using the "roof" as a "floor."
Settings Guide
Calculation Mode:
Auto (Higher TF): The recommended "Smart" mode described above.
Use Current Chart: Finds pivots on the exact timeframe you are viewing (good for scalping structure).
Fixed Manual: Locks the projection to a specific timeframe (e.g., always show Daily).
Pivot Lookback (Sensitivity):
Default (10/10): Balances major and minor structure.
Higher (20/20): Shows only the most critical major market turns.
Max Number of Lines: Limits how many historical levels are shown to keep your chart clean.
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Disclaimer: This tool is for educational purposes and decision support. Past volume and price action do not guarantee future results. Always manage your risk.
