Colored Volume Bars All Markets: Combining Volume SourcesUsing volume in Forex is potentially misleading as we are only provided the broker volume or futures exchange volume for the currency or commodity in a decentralised market. This code combines the volumes from FXCM, Onanda and futures for the instrument being studied. The combination of the volumes could improve the reliability of the volume being considered. Using this approach other volume indicators can also be improved.
In den Scripts nach "Futures" suchen
Bitmex Bitcoin BasisInspired by the Ugly Old Goat's articles about the Bitcoin basis - medium.com
with the help of @Plumptoiletduck this indicator was created to show the Bitmex futures premium or discount.
Note you need to add in the new futures ticker every 3 months.
ACM22 not repaintedДелал данный скрипт для FORTS.Идеально подойдет тем,кто использует трейлинг стопы.В основе стратегии лежит RSI.Как по мне,хорошая вещь для проверки стратегии и ее оптимизиации.На скрине 50 контрактов,так что не сильно радуйтесь,а просто делите на 50 и получите показатели на 1 контракт.
Script make for futures on MICEX.U can change paramets of RSI,traling stop and stop loss .On a ps 50 futures USDollar-russian ruble.Use for testing and optimisation.
Vertical Horizontal Filter BacktestVertical Horizontal Filter was initiated by Adam White. It was first published
in a magazine called “Issues of Futures” in August, 1991. The Vertical Horizontal
Filter (VHF) is a very common Indicator used by traders to find out the Phase of
a Price Trend. Normally, a price trend can be in a Trending Phase or a Congestion
Phase/Choppy Movement Phase. Adam White created this particular Technical Indicator
to determine whether prices are trending in a particular direction or are they going
through a transitional period. He used it to measure the range of Futures available
in the market.
You can change long to short in the Input Settings
WARNING:
- For purpose educate only
- This script to change bars colors.
Vertical Horizontal Filter Strategy Vertical Horizontal Filter was initiated by Adam White. It was first published
in a magazine called “Issues of Futures” in August, 1991. The Vertical Horizontal
Filter (VHF) is a very common Indicator used by traders to find out the Phase of
a Price Trend. Normally, a price trend can be in a Trending Phase or a Congestion
Phase/Choppy Movement Phase. Adam White created this particular Technical Indicator
to determine whether prices are trending in a particular direction or are they going
through a transitional period. He used it to measure the range of Futures available
in the market.
WARNING:
- This script to change bars colors.
Vertical Horizontal Filter Vertical Horizontal Filter was initiated by Adam White. It was first published
in a magazine called “Issues of Futures” in August, 1991. The Vertical Horizontal
Filter (VHF) is a very common Indicator used by traders to find out the Phase of
a Price Trend. Normally, a price trend can be in a Trending Phase or a Congestion
Phase/Choppy Movement Phase. Adam White created this particular Technical Indicator
to determine whether prices are trending in a particular direction or are they going
through a transitional period. He used it to measure the range of Futures available
in the market.
BKSqueezeThis is a price volatility compression and expansion indicator that uses the ratio of the Bollinger Band and Keltner Ratio.
Red segments indicate extreme price volatility compression that can be ideal entry points for stock/futures/forex and/or options positions.
Aqua segments indicate price volatility is expanding.
Blue segments indicate price volatility is compressing - can be used as an exit point or partial scale out point.
Note that the indicator doesn't indicate direction. One suggestion is to use the DMI indicator for this purpose - really depends on how early you enter the trade.
Suggest using a time period of 15 bars for volatile stocks, such as TSLA for example, otherwise a period of 20 bars suits most stocks/futures/forex symbols.
T7 JNSARJNSAR stands for Just Nifty -0.14% Stop & Reverse. This is a Trend Following Daily Bar Trading System for NIFTY -0.14% . Original idea belongs to ILLANGO @ I coded the pine version of this system based on a request from @stocksonfire. Use it at your own risk after validation at your end. Neither me or my company is responsible for any losses you may incur using this system. Hope you like this system and enjoy trading it !!!
Updated V3 code for the T7 JNSAR system earlier published here V2 and here V1
Following updates made to the code
1. Added a 22 Period Simple moving average filter over and above the standard JNSAR value for generating trading signals. This simple filter reduces the whipsaw trades drastically along with similar improvements in the max draw down and overall profitability of the system. The SMA filter is turned ON by default but can be turned OFF by user through the settings window.
2. Backtest option is now turned ON by default.
Also am republishing the trading rules here again with some modification
1. Go Long when the daily close is above the JNSAR line. Go Short when the daily close is below the JNSAR line. JNSAR line is the varying green line overlayed over the price chart. Once a signal comes at market close enter in the direction of the signal @ market price @ next day market open.
2. Trade only Nifty -0.14% Index. This system was developed and backtested only for NIFTY -0.14% Index. So trade in its Futures or Options, as you may deem fit. My recommendation is to choose futures for simplicity. If you want to reduce the trading cost and go with options, trade with deep in the money options, preferably 2 strikes far from the spot price.
3. Trade all signals. Markets trend only 30-35% of the time and hence the system is only accurate to that extend. But system tends to make enough money, in this small trending window, to keep the overall profitability in good health. But one never knows when a big trend may come and when it comes its absolutely imperative that you take it. To ensure that, trade all signals and don't be choosy about what signals you are going to trade. Also I wouldn't recommend using your own analysis to trade this system. Too many drivers will crash the car.
4. Like all trend following systems, this system will have many whipsaws during flat markets along with large trade and account drawdowns. Also some months and even years may not be profitable. But to trade this system profitably, it is necessary to take these in one's stride and keep trading. As the backtester results from 1990 to 2017 proves, this system is profitable overall thus far. Take confidence from that objective fact.
5. Trade with only that amount of money you can afford to loose. Initial capital that you need to have to trade one lot of NIFTY -0.14% should be atleast - (Margin Money required to take and hold 1 lot position + maximum drawdown amount per lot)*1.2. Be prepared to add more if need be, but the above formula will give a rough idea of what you need to have to start trading and be in the game always.
6. Place an After Market Order @ Market Price with your broker after market close so that you get to execute the trade next trading day @ Market open to capture near similar price as the daily open price seen on the chart. This execution mode will give you the best chance to minimize the slippage and mimic the backtester results as closely as practically possible.
7. Follow all the 6 rules above religiously, as if your life depends on it. If you cant, then don't trade this system; You will certainly loose money.
Happy Trading !!! As always am looking out for your valuable feedback.
T7 JNSARUpdated code for the T7 JNSAR system earlier published here -
Following updates made to the code
1. Buy / Sell arrows now appear when the corresponding conditions are met.
2. Support for Heikin-Ashi Candles added
3. Different Backtesting Position Sizing Algorithms added for evaluation
Also am republishing the trading rules here again with some modification
1. Go Long when the daily close is above the JNSAR line. Go Short when the daily close is below the JNSAR line. JNSAR line is the varying green line overlayed over the price chart. Once a signal comes at market close enter in the direction of the signal @ market price @ next day market open.
2. Trade only Nifty Index. This system was developed and backtested only for NIFTY Index. So trade in its Futures or Options, as you may deem fit. My recommendation is to choose futures for simplicity. If you want to reduce the trading cost and go with options, trade with deep in the money options, preferably 2 strikes far from the spot price.
3. Trade all signals. Markets trend only 30-35% of the time and hence the system is only accurate to that extend. But system tends to make enough money, in this small trending window, to keep the overall profitability in good health. But one never knows when a big trend may come and when it comes its absolutely imperative that you take it. To ensure that, trade all signals and don't be choosy about what signals you are going to trade. Also I wouldn't recommend using your own analysis to trade this system. Too many drivers will crash the car.
4. Like all trend following systems, this system will have many whipsaws during flat markets along with large trade and account drawdowns. Also some months and even years may not be profitable. But to trade this system profitably, it is necessary to take these in one's stride and keep trading. As the backtester results from 1990 to 2016 proves, this system is profitable overall thus far. Take confidence from that objective fact.
5. Trade with only that amount of money you can afford to loose. Initial capital that you need to have to trade one lot of NIFTY should be atleast - (Margin Money required to take and hold 1 lot position + maximum drawdown amount per lot)*1.2. Be prepared to add more if need be, but the above formula will give a rough idea of what you need to have to start trading and be in the game always.
6. Place an After Market Order @ Market Price with your broker after market close so that you get to execute the trade next trading day @ Market open to capture near similar price as the daily open price seen on the chart. This execution mode will give you the best chance to minimise the slippage and mimic the backtester results as closely as practically possible.
7. Follow all the 6 rules above religiously, as if your life depends on it. If you cant, then don't trade this system; You will certainly loose money.
Happy Trading !!! As always am looking out for your valuable feedback.
T7 JNSARJNSAR stands for Just Nifty Stop & Reverse. This is a trend following daily bar trading system for NIFTY. Original idea belongs to ILLANGO @ I coded the pine version of this system based on a request from @stocksonfire. Use it at your own risk after validation at your end. Neither me or my company is responsible for any losses you may incur using this system. Hope you like this system and enjoy trading it !!!
While trading this system you must follow these simple rules.
1. Go Long when the daily close is above the JNSAR line. Go Short when the daily close is below the JNSAR line. JNSAR line is the varying green line overlayed over the price chart. Once a signal comes at market close enter in the direction of the signal @ market price @ next day market open.
2. Trade only Nifty Index. This system was developed and backtested only for NIFTY Index. So trade in its Futures or Options, as you may deem fit. My recommendation is to choose futures for simplicity. If you want to reduce the trading cost and go with options, trade with deep in the money options, preferably 2 strikes far from the spot price.
3. Trade all signals. Markets trend only 30-35% of the time and hence the system is only accurate to that extend. But system tends to make enough money, in this small trending window, to keep the overall profitability in good health. But one never knows when a big trend may come and when it comes its absolutely imperative that you take it. To ensure that, trade all signals and don't be choosy about what signals you are going to trade. Also I wouldn't recommend using your own analysis to trade this system. Too many drivers will crash the car.
4. Like all trend following systems, this system will have many whipsaws during flat markets along with large trade and account drawdowns. Also some months and even years may not be profitable. But to trade this system profitably, it is necessary to take these in one's stride and keep trading. As the backtester results from 1990 to 2016 proves, this system is profitable overall thus far. Take confidence from that objective fact.
5. Initial capital that you need to have to trade one lot of NIFTY should be atleast - (Margin Money required to take and hold 1 lot position + maximum drawdown amount per lot)*1.2. Be prepared to add more if need be, but the above formula will give a rough idea of what you need to have to start trading and be in the game always.
6. Follow all the 5 rules above religiously as if your life depends on it. If you cant, then don't trade this system; You will certainly loose money.
Accumulation Swing Index The Accumulation Swing Index is a cumulative total of the Swing Index.
The Accumulation Swing Index was developed by Welles Wilder.
The SwingIndex function was developed to help cut through the maze of
Open, High, Low and Close prices to indicate the real strength and direction
of the market. The Swing Index function looks at the Open, High, Low and
Close values for a two-bar period. The theory is that there are four cross-bar
and one intra-bar comparisons that are strong indicators of an up or down day.
The Swing Index returns a number between -100 and 100. If the factors point toward
an up day, then the function value will be positive and vice versa. In this way,
the Swing Index gives us definite short-term swing points, and it can be used to
supplement other methods as a breakout indicator. A breakout is indicated when the
value of the Accumulation Swing Index (ASI) exceeds the ASI value on the day when a
previous significant High Swing Point was made. A downside breakout is indicated when
the value of the ASI drops below the ASI value on a day when a previous significant
low swing point was made.
Since only futures have a relative daily limit value, this function only makes sense
when applied to a futures contract. If you use this function and it only plots a zero
flat line, check the Daily Limit value.
Accumulation Swing Index (ASI) The Accumulation Swing Index is a cumulative total of the Swing Index.
The Accumulation Swing Index was developed by Welles Wilder.
The SwingIndex function was developed to help cut through the maze of
Open, High, Low and Close prices to indicate the real strength and direction
of the market. The Swing Index function looks at the Open, High, Low and
Close values for a two-bar period. The theory is that there are four cross-bar
and one intra-bar comparisons that are strong indicators of an up or down day.
The Swing Index returns a number between -100 and 100. If the factors point toward
an up day, then the function value will be positive and vice versa. In this way,
the Swing Index gives us definite short-term swing points, and it can be used to
supplement other methods as a breakout indicator. A breakout is indicated when the
value of the Accumulation Swing Index (ASI) exceeds the ASI value on the day when a
previous significant High Swing Point was made. A downside breakout is indicated when
the value of the ASI drops below the ASI value on a day when a previous significant
low swing point was made.
Since only futures have a relative daily limit value, this function only makes sense
when applied to a futures contract. If you use this function and it only plots a zero
flat line, check the Daily Limit value.
Gold Master: Swing + Daily Scalp (Fixed & Working)How to use it correctly
Daily chart → Focus only on big green/red triangles (Swing trades)
5m / 15m / 1H chart → Focus on small circles (Scalp trades)
You can turn each system on/off independently in the settings
Works perfectly on XAUUSD, GLD, GC futures, and even DXY (inverse signals).
SIDD Table Volume multiframe (Modified)🚀 SIDD Volume Table – The Most Powerful Multi-Timeframe Volume Dashboard
Designed by Siddhartha Mukherjee (SIDD)
Free for the community.
Get an unfair edge with the cleanest, fastest, and most accurate multi-timeframe volume analyzer available on TradingView. This tool reveals where buyers and sellers are truly active across multiple timeframes—helping you confirm trends, avoid traps, and enter with confidence.
🔥 Why Traders Love This Indicator
✅ 1. Multi-Timeframe Volume Domination
Instantly view Buy% / Sell% / Total Volume for:
1m • 5m • 15m • 1H • 4H • 1D • 1W
Choose any combination you want!
✅ 2. Advanced Buy/Sell Volume Logic
Not simple volume…
This tool breaks it into:
Buy Volume% (green dominance)
Sell Volume% (red dominance)
Using candle structure (H-L-C), giving far more accurate pressure detection.
✅ 3. Realtime Candle Countdown
Never guess when a candle will close again.
Get:
Seconds (1m)
MM:SS (5m/15m/1H)
DD:HH:MM:SS (4H, 1D, 1W)
Perfect for scalpers, swing traders, and index traders.
✅ 4. Beautiful & Customizable Dashboard
Choose position anywhere on screen
Auto size or choose Tiny → Huge
Color-coded Bias (Green Buyers, Red Sellers)
Clean layout built for modern charts
Your chart stays clean while your data stays powerful.
💡 What This Helps You Identify
Where buyers are gaining strength
Where sellers are dominating
Multi-timeframe alignment (the key to big moves)
Real reversal pressure
Volume divergence across timeframes
Trend confirmation before breakouts
Perfect for:
NIFTY / BANKNIFTY / Stocks / Crypto / FX / Commodities
🧠 Who Should Use This?
Intraday traders
Swing traders
Options traders
Futures traders
Crypto scalpers
Professional volume analysts
If volume matters to you → this indicator becomes a must-have.
🛠 Built with Precision
Non-repainting
Multi-TF aligned
Fast + lightweight arrays
Uses BTC/ETH feed to stabilize ticks
Zero chart clutter
❤️ Free for Everyone
This tool is released 100% free to help the community trade with clarity and confidence.
Leave a like ⭐, comment 💬, or follow if you want more such institutional-grade tools.
⚠️ Disclaimer
This is for educational/analytical use only.
Not financial advice. Trade at your own risk.
Mustang Algo - Momentum Trend Zone Backtest🐎 MUSTANG ALGO - Momentum Trend Zone Strategy
A complete trading system combining MACD momentum analysis with visual trend zones, full backtesting capabilities, and advanced risk management tools.
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🔹 OVERVIEW
Mustang Algo transforms traditional MACD analysis into a powerful visual trading system. It instantly identifies market bias through colored background zones and provides clear entry/exit signals with customizable stop loss and take profit management.
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🔹 KEY FEATURES
✅ Visual Trend Zones (Green = Bullish | Red = Bearish)
✅ Clear Buy/Sell Triangles on Chart
✅ Full Backtesting Engine
✅ Multiple Stop Loss Types
✅ Multiple Take Profit Types
✅ Trailing Stop Option
✅ Time Filter for Backtesting
✅ Real-time Info Panel
✅ Customizable Alerts
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🔹 HOW IT WORKS
The strategy uses a smoothed MACD system to detect trend changes:
- MACD Line (White): Fast EMA minus Slow EMA - shows raw momentum
- Signal Line (Yellow): EMA of MACD - shows smoothed trend direction
- Trend Zone: Changes when the smoothed signal line crosses zero
- Entry Signals: Generated at zone transitions
When the trend line crosses above zero → GREEN zone → BUY signal 🔺
When the trend line crosses below zero → RED zone → SELL signal 🔻
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🔹 STOP LOSS OPTIONS
🛑 Percentage: Fixed percentage from entry price
🛑 ATR-Based: Dynamic SL based on market volatility
🛑 Fixed Points: Set number of points/pips
🛑 Swing Low/High: Uses recent swing levels as stops
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🔹 TAKE PROFIT OPTIONS
🎯 Percentage: Fixed percentage target
🎯 ATR-Based: Dynamic TP based on volatility
🎯 Fixed Points: Set number of points/pips
🎯 Risk Reward: Automatic TP based on R:R ratio (e.g., 2:1, 3:1)
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🔹 TRAILING STOP
📈 Percentage-Based: Trail by a fixed percentage
📈 ATR-Based: Trail using ATR multiplier for dynamic adjustment
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🔹 SETTINGS
MACD Parameters:
- Fast Length (default: 12)
- Slow Length (default: 26)
- Signal Length (default: 9)
- Trend Smoothing (default: 5)
Risk Management:
- Enable/Disable Stop Loss
- Enable/Disable Take Profit
- Enable/Disable Trailing Stop
- Customize all SL/TP parameters
Visual Options:
- Show/Hide Buy/Sell Triangles
- Show/Hide SL/TP Lines
- Show/Hide Labels
Time Filter:
- Set Start Date for backtest
- Set End Date for backtest
══════════════════════════════════════════════════════════════════════════
🔹 SIGNALS EXPLAINED
🟢 GREEN TRIANGLE (Below Bar):
Bullish zone detected - Consider LONG entry
🔴 RED TRIANGLE (Above Bar):
Bearish zone detected - Consider SHORT entry
🟢 GREEN BACKGROUND:
Currently in bullish trend zone
🔴 RED BACKGROUND:
Currently in bearish trend zone
══════════════════════════════════════════════════════════════════════════
🔹 INFO PANEL
The real-time info panel (top right) displays:
- Current Trend Zone status
- MACD value
- Signal Line value
- Active SL Type
- Active TP Type
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🔹 ALERTS
Set up alerts for:
🔔 Buy Signals: "🐎 Mustang Algo: BUY Signal on {ticker} at {price}"
🔔 Sell Signals: "🐎 Mustang Algo: SELL Signal on {ticker} at {price}"
══════════════════════════════════════════════════════════════════════════
🔹 BEST PRACTICES
1. Use higher timeframes (1H, 4H, Daily) for more reliable signals
2. Combine with price action and support/resistance levels
3. Adjust ATR multipliers based on asset volatility
4. Use Risk Reward ratio for consistent risk management
5. Backtest on your preferred asset before live trading
══════════════════════════════════════════════════════════════════════════
🔹 RECOMMENDED TIMEFRAMES
⏱️ Scalping: 5M, 15M (more signals, more noise)
⏱️ Day Trading: 1H, 4H (balanced signals)
⏱️ Swing Trading: Daily, Weekly (fewer but stronger signals)
══════════════════════════════════════════════════════════════════════════
🔹 MARKETS
Works on all markets:
📈 Forex
📈 Crypto
📈 Stocks
📈 Indices
📈 Commodities
📈 Futures
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🐎 RIDE THE TREND WITH MUSTANG ALGO!
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⚠️ DISCLAIMER
This indicator/strategy is for educational and informational purposes only. It is not financial advice. Trading involves substantial risk of loss and is not suitable for all investors. Past performance is not indicative of future results. Always use proper risk management, do your own research, and consider consulting a financial advisor before making any trading decisions. Use at your own risk.
══════════════════════════════════════════════════════════════════════════
📝 VERSION HISTORY
v1.0 - Initial Release
- MACD-based trend detection
- Visual trend zones
- Multiple SL/TP options
- Full backtesting support
- Trailing stop functionality
- Time filter
- Info panel
- Alert system
══════════════════════════════════════════════════════════════════════════
💬 FEEDBACK
If you find this strategy useful, please leave a comment or suggestion!
Your feedback helps improve future updates.
🐎 Happy Trading!
WSMR v3.8 — WhaleSplash → Mean Reversal# WSMR v3.8 — WhaleSplash → Mean Reversal
### Global, Anchored, Non-Repainting Signal Framework for Futures, Crypto & Index Markets
**WSMR v3.8** is a volatility-anchored market-structure framework designed to detect two high-probability turning points:
## 1️⃣ WhaleSplash (WS) — Short Impulse Exhaustion
A “WhaleSplash” is a large downside impulse characterised by:
- bar range ≥ *k × ATR*
- strong % move
- volume expansion vs SMA(20)
- deep Z-Score oversold
- compression away from VWAP
- RSI weakness
When these conditions align, the indicator marks a short exhaustion event and prints a 🐋 icon below the bar. This is a **non-repainting bar-close confirmation**.
---
## 2️⃣ Mean Reversal (MR) — Bullish Reversal Setup
The MR module combines:
- RSI bullish divergence (pivot-based, safe)
- Z-Score reset above threshold
- SMA20 reclaim with positive slope
- Higher-low structure
When confirmed at bar-close, the indicator identifies conditions favourable for a **mean-reversion long**.
MR signals can optionally trigger an “**1st green candle after MR**” confirmation within a user-defined TTL (default 12 bars).
---
# 🎯 Key Features
### ✔ Non-Repainting Confirmed Signals
WS & MR only fire **after** bar close, using cooldown logic to avoid clustering and noise.
### ✔ VWAP-Anchored Z-Score Framework
All signals reference price distance and statistical deviation from VWAP, producing adaptive, volatility-aware setups.
### ✔ Session Filter (Asia-Optimised)
Optional session gating allows signals only between **23:00–09:00 UTC**, ideal for systematic Asia-session breakout & mean-reversion traders.
### ✔ Volatility Monitor (Normal → Extreme)
Dynamic volatility classification using:
- ATR baseline ratio
- wickiness index
- range Z-Score
States: **Normal → Wicky → Spiky → Extreme**
Displayed with colour-coded background in the status panel.
### ✔ Rolling WhaleSplash Frequency (Analytics Panel)
WSMR tracks the frequency of WhaleSplash events over a rolling window (Bars/Days/Weeks/Months) and estimates average WS/day (on minute timeframes).
### ✔ Status Panel (Bottom-Right)
Live display of:
- Mode (Global/Asia)
- Timeframe + TTL status
- WhaleSplash frequency
- Volatility state
- ATR/Range information
---
# 📌 Best Timeframes
Optimised and validated on **5-minute charts**, but compatible with all intraday timeframes.
---
# 🚨 Alerts Included
- WhaleSplash SHORT
- WhaleSplash LONG
- Volatility Warning (Spiky/Extreme)
---
# ⚠️ Notes
WSMR v3.8 is not a buy/sell system. It is a **signal framework** highlighting exhaustion and reversal conditions. Always combine with market structure, session context, and risk management. Past performance does not guarantee future results.
---
# 💬 Credits
Script created by **John Nolan (JohnFrancisNolan)**
Pine Script® v6
© 2024–2025 — Published under the **Mozilla Public License 2.0**
Bassi's Consolidation Breakout — ULTIMATE PRO + VPOverview
Bassi’s Consolidation Breakout — ULTIMATE PRO + VP is a professional-grade breakout detection system that combines price structure, volume confirmation, volatility compression, and custom volume profile logic.
The indicator automatically detects compressed consolidation zones, confirms breakouts with multi-layer filters, and plots full trade setups including:
Entry level
Stop-loss
TP1, TP2, TP3 (R:R based)
Trend filters + MTF EMA
Retest validation
Volume Profile confirmation (POC / VAH / VAL)
This is one of the most complete breakout frameworks for TradingView.
🔍 Core Concept
The script detects tight consolidation boxes based on:
Price range (% compression)
Lookback period
Minimum required bars
Breakout above/below the box
Once the consolidation ends, breakout signals fire only if they pass all filters.
This focuses your trading on high-probability breakouts only.
🔥 Key Features
1️⃣ Automated Consolidation Box Detection
Draws consolidation boxes dynamically
Identifies tight range compression
Supports advanced range logic for high accuracy
2️⃣ Smart Breakout + Retest Engine
Breakouts and breakdowns require:
Structure break
Minimum breakout expansion (0.15%)
Volume confirmation
Trend (200 EMA) confirmation
Optional retest validation
Optional Volume Profile filter
Each valid breakout prints a signal + full trade setup.
3️⃣ Custom Volume Profile Engine
Fast and lightweight custom-built VP that calculates:
POC (Point of Control)
VAH (Value Area High)
VAL (Value Area Low)
These levels can optionally be used to filter weak breakouts.
4️⃣ Multi-Timeframe Trend Filter
Uses 200 EMA from any selected higher timeframe
Helps avoid counter-trend fakeouts
Fully optional
5️⃣ Automatic Trade Setup Projection
Each breakout generates:
Stop-loss (ATR × multiplier)
TP1 (R:R)
TP2 (R:R)
TP3 (optional)
Clean signal labels
Only keeps the last 2 signals to maintain clarity
6️⃣ Alerts Included
Alerts fire instantly when a valid breakout occurs:
“Bassi LONG + VP”
“Bassi SHORT + VP”
Alerts include ticker + entry price.
📘 Usage Guide & Trading Rules
✔ Recommended Trading Steps
1. Wait for a confirmed consolidation box
Box must be narrow
Must meet minimum bar requirement
2. Wait for a confirmed breakout signal
Signal requires:
Breakout above/below box
Volume confirmation
Trend & MTF confirmation if enabled
Optional retest
Optional VP filter (close outside VAH/VAL)
3. Follow the projected setup
The script prints:
Entry
SL
TP1 / TP2 / TP3
Target lines extend automatically.
📖 How to Use the Script (Trading Rules)
1️⃣ Long Entry Rules
Enter Long when:
Price breaks above trend confirmation level
Momentum signal turns bullish
Candle closes above trigger line
Volatility filter is satisfied
Exit Long:
TP1/TP2/TP3 levels
Reversal signal
Trailing stop hit
2️⃣ Short Entry Rules
Enter Short when:
Price breaks below trend confirmation level
Momentum signal turns bearish
Candle closes below trigger line
Volatility filter is satisfied
Exit Short:
TP1/TP2/TP3 levels
Trend reversal
Trailing stop hit
✔ Recommended Markets
Crypto
Forex
Indices
Futures
Stocks
Works on all timeframes from 1-minute to daily.
✔ Best Practice
Avoid taking signals against HTF trend
Prefer signals that break away from VAH/VAL
Use TP1 to secure partial profits
Move SL to breakeven after TP1 if desired
Always follow personal risk management
👤 Author
Created by: Mahdi Bassi
Professional trader & systems designer
Focused on structural, volume-based and volatility-based strategies.
⚠️ Disclaimer
This script is for educational purposes only.
No indicator can guarantee profits.
Always use proper risk management and trade responsibly.
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.
ATR Risk Manager v5.2 [Auto-Extrapolate]If you ever had problems knowing how much contracts to use for a particular timeframe to keep your risk within acceptable levels, then this indicator should help. You just have to define your accepted risk based on ATR and also percetage of your drawdown, then the indicator will tell you how many contracts you should use. If the risk is too high, it will also tell you not to trade. This is only for futures NQ MNQ ES MES GC MGC CL MCL MYM and M2K.
Omega Correlation [OmegaTools]Omega Correlation (Ω CRR) is a cross-asset analytics tool designed to quantify both the strength of the relationship between two instruments and the tendency of one to move ahead of the other. It is intended for traders who work with indices, futures, FX, commodities, equities and ETFs, and who require something more robust than a simple linear correlation line.
The indicator operates in two distinct modes, selected via the “Show” parameter: Correlation and Anticipation. In Correlation mode, the script focuses on how tightly the current chart and the chosen second asset move together. In Anticipation mode, it shifts to a lead–lag perspective and estimates whether the second asset tends to behave as a leader or a follower relative to the symbol on the chart.
In both modes, the core inputs are the chart symbol and a user-selected second symbol. Internally, both assets are transformed into normalized log-returns: the script computes logarithmic returns, removes short-term mean and scales by realized volatility, then clips extreme values. This normalisation allows the tool to compare behaviour across assets with different price levels and volatility profiles.
In Correlation mode, the indicator computes a composite correlation score that typically ranges between –1 and +1. Values near +1 indicate strong and persistent positive co-movement, values near zero indicate an unstable or weak link, and values near –1 indicate a stable anti-correlation regime. The composite score is constructed from three components.
The first component is a normalized return co-movement measure. After transforming both instruments into normalized returns, the script evaluates how similar those returns are bar by bar. When the two assets consistently deliver returns of similar sign and magnitude, this component is high and positive. When they frequently diverge or move in opposite directions, it becomes negative. This captures short-term co-movement in a volatility-adjusted way.
The second component focuses on high–low swing alignment. Rather than looking only at closes, it examines the direction of changes in highs and lows for each bar. If both instruments are printing higher highs and higher lows together, or lower highs and lower lows together, the swing structure is considered aligned. Persistent alignment contributes positively to the correlation score, while repeated mismatches between the swing directions reduce it. This helps differentiate between superficial price noise and structural similarity in trend behaviour.
The third component is a classical Pearson correlation on closing prices, computed over a longer lookback. This serves as a stabilising backbone that summarises general co-movement over a broader window. By combining normalized return co-movement, swing alignment and standard price correlation with calibrated weights, the Correlation mode provides a richer view than a single linear measure, capturing both short-term dynamic interaction and longer-term structural linkage.
In Anticipation mode, Omega Correlation estimates whether the second asset tends to lead or lag the current chart. The output is again a continuous score around the range. Positive values suggest that the second asset is acting more as a leader, with its past moves bearing informative value for subsequent moves of the chart symbol. Negative values indicate that the second asset behaves more like a laggard or follower. Values near zero suggest that no stable lead–lag structure can be identified.
The anticipation score is built from four elements inspired by quantitative lead–lag and price discovery analysis. The first element is a residual lead correlation, conceptually similar to Granger-style logic. The script first measures how much of the chart symbol’s normalized returns can be explained by its own lagged values. It then removes that component and studies the correlation between the residuals and lagged returns of the second asset. If the second asset’s past returns consistently explain what the chart symbol does beyond its own autoregressive behaviour, this residual correlation becomes significantly positive.
The second element is an asymmetric lead–lag structure measure. It compares the strength of relationships in both directions across multiple lags: the correlation of the current symbol with lagged versions of the second asset (candidate leader) versus the correlation of lagged values of the current symbol with the present values of the second asset. If the forward direction (second asset leading the first) is systematically stronger than the backward direction, the structure is skewed toward genuine leadership of the second asset.
The third element is a relative price discovery score, constructed by building a dynamic hedge ratio between the two prices and defining a spread. The indicator looks at how changes in each asset contribute to correcting deviations in this spread over time. When the chart symbol tends to do most of the adjustment while the second asset remains relatively stable, it suggests that the second asset is taking a greater role in determining the equilibrium price and the chart symbol is adjusting to it. The difference in adjustment intensity between the two instruments is summarised into a single score.
The fourth element is a breakout follow-through causality component. The script scans for breakout events on the second asset, where its price breaks out of a recent high or low range while the chart symbol has not yet done so. It then evaluates whether the chart symbol subsequently confirms the breakout direction, remains neutral, or moves against it. Events where the second asset breaks and the first asset later follows in the same direction add positive contribution, while failed or contrarian follow-through reduce this component. The contribution is also lightly modulated by the strength of the breakout, via the underlying normalized return.
The four elements of the Anticipation mode are combined into a single leading correlation score, providing a compact and interpretable measure of whether the second asset currently behaves as an effective early signal for the symbol you trade.
To aid interpretation, Omega Correlation builds dynamic bands around the active series (correlation or anticipation). It estimates a long-term central tendency and a typical deviation around it, plotting upper and lower bands that highlight unusually high or low values relative to recent history. These bands can be used to distinguish routine fluctuations from genuinely extreme regimes.
The script also computes percentile-based levels for the correlation series and uses them to track two special price levels on the main chart: lost correlation levels and gained correlation levels. When the correlation drops below an upper percentile threshold, the current price is stored as a lost correlation level and plotted as a horizontal line. When the correlation rises above a lower percentile threshold, the current price is stored as a gained correlation level. These levels mark zones where a historically strong relationship between the two markets broke down or re-emerged, and can be used to frame divergence, convergence and spread opportunities.
An information panel summarises, in real time, whether the second asset is behaving more as a leading, lagging or independent instrument according to the anticipation score, and suggests whether the current environment is more conducive to de-alignment, re-alignment or classic spread behaviour based on the correlation regime. This makes the tool directly interpretable even for users who are not familiar with all the underlying statistical details.
Typical applications for Omega Correlation include intermarket analysis (for example, index vs index, commodity vs related equity sector, FX vs bonds), dynamic hedge sizing, regime detection for algorithmic strategies, and the identification of lead–lag structures where a macro driver or benchmark can be monitored as an early signal for the instrument actually traded. The indicator can be applied across intraday and higher timeframes, with the understanding that the strength and nature of relationships will differ across horizons.
Omega Correlation is designed as an advanced analytical framework, not as a standalone trading system. Correlation and lead–lag relationships are statistical in nature and can change abruptly, especially around macro events, regime shifts or liquidity shocks. A positive anticipation reading does not guarantee that the second asset will always move first, and a high correlation regime can break without warning. All outputs of this tool should be combined with independent analysis, sound risk management and, when appropriate, backtesting or forward testing on the user’s specific instruments and timeframes.
The intention behind Omega Correlation is to bring techniques inspired by quantitative research, such as normalized return analysis, residual correlation, asymmetric lead–lag structure, price discovery logic and breakout event studies, into an accessible TradingView indicator. It is intended for traders who want a structured, professional way to understand how markets interact and to incorporate that information into their discretionary or systematic decision-making processes.
NIFTY Futures Premium %WEALTHCON inspired NIFTY FAD % indicator . Please use Nifty spot chart in overlaying chart
F&O Premium % (Universal)Wealthcon inspired FAD % Indicator. Please use FUTURES chart in the overlaying Chart
Absorption PROOF - Absorption PRO (Clean & Smart)Ultra-clean, high-precision absorption reversal strategy.Detects institutional buying/selling pressure using volume-weighted delta proxy and VWAP deviation zones.Smart RSI + early-session range filter automatically separates valid range-bound reversals from trend exhaustion.Green/Red circles → High-probability entries (fully tradable)
Small crosses + colored zones → Rejected signals (avoid)
Blue dotted lines → Session range ±100% deviation levels (optional)
By default: only signals and rejection zones displayed — zero clutter.Minimalist, professional, and deadly accurate on futures & forex (1m–15m).Less noise. Better trades.
