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COT + SMI Dual Strategy (Rev/Trend)I use this script to test whether stochastic COT report filtering for trade direction makes a difference or not for forex.
It seems it does! Feel free to test and comment. I am always happy to see to be proven wrong.
Closed Source Strategy TesterAllows you to test an indicator that is closed source (you don't have access to the code). You will need to understand the exposed data elements of the indicator you are testing. This strategy is only looking for a buy, sell, exit long, or exit short to be signals that change from 0 to 1. The stop loss/take profit, if used, are expected to be price values.
I encourage you to copy this code and modify it to your needs for specific indicators.
EMA 8/20 CrossoverModeled with 10k buying power
risking 5% account value per trade
take profit when 8 day EMA crosses below 20 day EMA
take long position when 8 day EMA crosses above 20 day EMA
Fibonacci + RSI - StrategyOverview
This is an intraday mean-reversion strategy designed for short timeframes (1–30 minutes).
It combines volatility-based Fibonacci bands with RSI momentum signals to identify temporary price extremes and trade pullbacks back toward fair value.
The strategy trades both long and short, uses limit entries, a manual exit logic, and a hard stop-loss as risk protection.
Market Context
The strategy assumes that, on intraday timeframes:
price frequently deviates from its short-term fair value,
extreme deviations tend to revert,
momentum (RSI) can confirm exhaustion.
It is not a trend-following system.
Trades are taken against short-term extremes, not in the direction of breakouts.
Indicators Used
1. Fibonacci Volatility Bands
The bands are calculated using:
VWMA (Volume Weighted Moving Average) as the central price,
Standard Deviation as a volatility measure,
a multiplier to create upper and lower bands.
Key levels:
Upper Band (fu1) – overextended price zone
Lower Band (fd1) – oversold price zone
Intermediate targets (fu764 / fd764) – mean-reversion profit targets
These bands behave similarly to dynamic volatility channels.
2. RSI (Relative Strength Index)
RSI length: typically 14
Oversold level: 30
Overbought level: 70
The strategy uses RSI crossovers to confirm momentum reversal:
crossing up from oversold → potential long
crossing down from overbought → potential short
Entry Rules
Long Entry
A long position is considered when:
Price trades below the lower Fibonacci band (fd1)
RSI crosses upward from the oversold level
Price is still below the predefined upside target
The trade is entered using a limit order at the candle close.
Short Entry
A short position is considered when:
Price trades above the upper Fibonacci band (fu1)
RSI crosses downward from the overbought level
Price is still above the predefined downside target
The trade is entered using a limit order at the candle close.
Exit Rules
Manual Exit (Primary Exit)
Positions are closed manually when price reaches predefined Fibonacci target levels:
Long: price moves back up into the target zone
Short: price moves back down into the target zone
This exit represents the mean-reversion objective of the strategy.
Stop-Loss (Risk Protection)
A hard stop-loss is always active to protect against adverse moves.
Long stop: below entry price
Short stop: above entry price
The stop is calculated as a fixed percentage (or ATR-based in later versions) from the entry price.
The stop-loss is not the primary exit, but a safety mechanism.
Order Management Philosophy
Limit entries are used to avoid market slippage.
Manual exits control trade logic.
Stop-loss exits control risk only.
Only one position per direction is managed at a time.
Alerts are generated at signal or entry time for automation or monitoring.
Risk & Characteristics
Designed for frequent, small trades
Low average drawdown per trade
Performance depends heavily on:
volatility regime
correct stop sizing
disciplined risk management
Without proper position sizing, the strategy must not be traded live.
Suitable Markets
Forex pairs
Indices
Liquid crypto pairs
Best performance is expected in ranging or mildly trending markets.
Summary
This strategy attempts to exploit short-term price overextensions by combining volatility bands with momentum confirmation.
It relies on mean reversion, controlled risk, and disciplined execution rather than large directional moves.
GK1 Long only Daily Trend Strategy Max 4 Positions Risk-BasedThis strategy buys strong uptrends on the daily chart, risks a fixed % of capital per trade, limits how many trades are open at once, and exits using a trailing volatility stop or when the trend weakens.
What kind of market does this work best in?
1.Strong, persistent trends
2.Index ETFs, sector ETFs, large-cap stocks
3.Bull markets or strong sector rotations
It will underperform in:
Sideways markets
Choppy ranges
High-frequency reversals
The market condition this is looking for " A healthy, established uptrend"
It only goes LONG (no shorts) and only when all of these are true:
Short-term trend is up:
14-day moving average > 50-day moving average
Long-term trend is bullish:
Price is above the 200-day moving average
Primary trend is improving:
200-day MA is rising (today > yesterday)
Volume is normal (not dead, not crazy):
Avoids illiquid days and blow-off spikes
Translation: “I only buy when the market is already strong and behaving normally.”
It can hold up to 4 positions at the same time
Designed for multiple signals across time, not over-trading
You choose a Risk % per trade (default = 1%)
That means: If the stop loss is hit, you lose ~1% of your total account
It uses ATR (Average True Range):
ATR measures how much the market normally moves
Stop loss = 2.5 × ATR
Position size =
(1% of account) ÷ stop distance
So:
Volatile market → smaller position
Calm market → bigger position
Exit #1: Trailing ATR stop (main exit)
Tracks the highest close since entry
Stop moves up only, never down
If price reverses by ~2.5 ATR → exit
📌 Translation:
“Let winners run, cut losers automatically.”
Exit #1: Trailing ATR stop (main exit)
Tracks the highest close since entry
Stop moves up only, never down
If price reverses by ~2.5 ATR → exit
📌 Translation:
“Let winners run, cut losers automatically.”
HARSI RSI Shadow SHORT Strategy M1HARSI – Heikin Ashi RSI Shadow Indicator
HARSI (Heikin Ashi RSI Shadow) is a momentum-based oscillator that combines the concept of Heikin Ashi smoothing with the Relative Strength Index (RSI) to reduce market noise and highlight short-term trend strength.
Instead of plotting traditional price candles, HARSI transforms RSI values into a zero-centered oscillator (RSI − 50), allowing traders to clearly identify bullish and bearish momentum around the median line. The smoothing mechanism inspired by Heikin Ashi candles helps filter out false signals, making the indicator especially effective on lower timeframes such as M1.
The RSI Shadow reacts quickly to momentum shifts while maintaining smooth transitions, which makes it suitable for scalping and intraday trading. Key threshold levels (such as ±20 and ±30) can be used to detect momentum expansion, exhaustion, and potential continuation setups.
mua HARSI RSI Shadow Strategy M1 (Fixed)HARSI – Heikin Ashi RSI Shadow Indicator
HARSI (Heikin Ashi RSI Shadow) is a momentum-based oscillator that combines the concept of Heikin Ashi smoothing with the Relative Strength Index (RSI) to reduce market noise and highlight short-term trend strength.
Instead of plotting traditional price candles, HARSI transforms RSI values into a zero-centered oscillator (RSI − 50), allowing traders to clearly identify bullish and bearish momentum around the median line. The smoothing mechanism inspired by Heikin Ashi candles helps filter out false signals, making the indicator especially effective on lower timeframes such as M1.
The RSI Shadow reacts quickly to momentum shifts while maintaining smooth transitions, which makes it suitable for scalping and intraday trading. Key threshold levels (such as ±20 and ±30) can be used to detect momentum expansion, exhaustion, and potential continuation setups.
HARSI works best in liquid markets and can be used as a standalone momentum indicator or combined with trend filters such as moving averages or VWAP for higher-probability trades.
Key Features:
Zero-centered RSI oscillator (RSI − 50)
Heikin Ashi–style smoothing to reduce noise
Clear momentum-based entry signals
Optimized for lower timeframes (M1 scalping)
Suitable for both Spot and Futures trading
mua HARSI RSI Shadow Strategy M1 (Fixed)HARSI – Heikin Ashi RSI Shadow Indicator
HARSI (Heikin Ashi RSI Shadow) is a momentum-based oscillator that combines the concept of Heikin Ashi smoothing with the Relative Strength Index (RSI) to reduce market noise and highlight short-term trend strength.
Instead of plotting traditional price candles, HARSI transforms RSI values into a zero-centered oscillator (RSI − 50), allowing traders to clearly identify bullish and bearish momentum around the median line. The smoothing mechanism inspired by Heikin Ashi candles helps filter out false signals, making the indicator especially effective on lower timeframes such as M1.
The RSI Shadow reacts quickly to momentum shifts while maintaining smooth transitions, which makes it suitable for scalping and intraday trading. Key threshold levels (such as ±20 and ±30) can be used to detect momentum expansion, exhaustion, and potential continuation setups.
HARSI works best in liquid markets and can be used as a standalone momentum indicator or combined with trend filters such as moving averages or VWAP for higher-probability trades.
Key Features:
Zero-centered RSI oscillator (RSI − 50)
Heikin Ashi–style smoothing to reduce noise
Clear momentum-based entry signals
Optimized for lower timeframes (M1 scalping)
Suitable for both Spot and Futures trading
ETH Trap Short v2 (HTF Filter) 5mETH 5-minute trap short strategy with higher-timeframe (1H EMA200 slope) regime filter.
Includes session filter and fixed SL/TP.
For testing and development only.
BULL Whale Finder + BTC 1hBULL Whale Finder + BTC 1h is a long-only strategy designed to capture strong impulsive moves in Bitcoin.
It trades expansion (Whale) bars that appear in the direction of the trend, confirmed by the 200-period moving average on both 1H and 4H, with price holding above the 20-period moving average.
Entries focus on impulsive moves that originate from structural zones, not late breakouts.
Risk management is fully automated:
ATR-based initial stop
Automatic profit protection (Pay-Self)
Adds and partial exits based on the expansion-bar sequence
A protected runner managed with a trailing stop
The user only sets the risk per trade (MLPT).
All other parameters are hardcoded and locked to prevent over-optimization.
👉 Ready for backtesting, discretionary execution, or full automation.
Professional Grid & Reversal Bot v10 (Binance Style)Professional Grid & Reversal Bot v10 (Binance Style) – Open Source & Educational
About this Script:
This script is an advanced Grid Trading & Smart Reversal strategy, inspired by professional Binance-style execution. It is designed as an educational, open-source tool for traders who want to understand market dynamics, grid logic, and risk management.
How it Works:
1️⃣ Grid Execution:
• Divides the price range between the high and low into multiple levels (Grids).
• Opens Buy orders in the lower half and Sell orders in the upper half.
• Levels are calculated dynamically based on the highest and lowest prices over a selected lookback period.
2️⃣ Smart Reversal System:
• Detects price touches on the high or low range boundaries to identify potential reversal points.
• Opens Buy orders at the lows and Sell orders at the highs using a configurable confirmation percentage (revPct).
• Helps traders capture short-term price swings effectively.
3️⃣ Risk & Size Management:
• Position sizing based on USD amount and leverage.
• Automatic Take Profit (TP) and Stop Loss (SL) for every trade.
• Controls overtrading via the "pyramiding" parameter (max open trades).
4️⃣ Advanced Visualization:
• Plots the grid range with high/low levels and fills the background for clear context.
• Highlights potential Supply and Demand Zones.
• Displays a dynamic "Binance-style" Order Book table showing Side, Price, Quantity, and PnL.
5️⃣ Key Counters & Indicators:
• levelsArr → Stores all grid levels for execution and plotting.
• touchedHigh / touchedLow → Monitors range touches to trigger reversals.
• strategy.openprofit → Displays live open trade PnL directly on the chart.
Additional Features:
• Supports both English and Arabic languages.
• Dark Theme optimized for readability.
• Dynamic control panel updates on every bar.
• Flexible settings for Auto or Manual grid range updates.
User Guidance:
• This script is for educational purposes only; it does not guarantee profits.
• We recommend adjusting Grid Levels, Reversal Percentage, and Trade Size to experiment with different strategies.
Community Engagement:
• Suggestions and improvements are welcome! 💡
• If you have ideas for new features, let's develop them together to enhance learning.
• Please support the script with a Like & Boost if you find it useful.
• Encourages knowledge sharing to improve collective performance.
License:
Creative Commons Attribution-NonCommercial 4.0 International (CC BY-NC 4.0)
Free for educational use only. Please give credit to the author when sharing or modifying the script.
Long Only - Double EMA + SessionOverview
This is a high-probability Long-Only trend-following strategy designed primarily for the 65-minute and 4-hour timeframes. It utilizes a dual-layered filter system to align trades with both macro and mid-term market momentum, ensuring entries only occur during healthy uptrends. The strategy is optimized for volatile, high-growth assets like TSLA and MSFT.
How It Works
The strategy relies on three primary pillars of technical analysis to confirm an "A+" setup:
Macro Trend Filter (200 EMA): We only look for long opportunities when the price is above the 200-period Exponential Moving Average. This keeps the strategy on the right side of the long-term trend and avoids "buying the dip" during major bear markets.
Momentum Filter (50 EMA): The 50 EMA acts as a local trend filter. By requiring price to be above both EMAs, we ensure the medium-term momentum is also bullish.
The Trigger (Stochastic RSI): We enter when the Stochastic RSI K-line crosses above the 20 level (Oversold). This identifies local "oversold" pullbacks within a larger uptrend.
Risk Management & Exit Plan
This strategy is built with professional-grade capital preservation in mind:
Trailing Stop-Loss: A 5% trailing stop follows the price as it moves in our favor. This protects unrealized profits and helps mitigate the drawdown during sudden reversals.
Dynamic Profit Target: The strategy exits automatically if the Stochastic RSI K-line reaches the 97 level, capturing gains at the peak of momentum.
Session Filter: To avoid the "noise" of pre-market and low-volume afternoon trading, the strategy is restricted to the Market Open (9:30 AM EST) window where institutional volume is highest.
Backtesting Notes
Realistic Simulation: This strategy includes a 0.05% commission and 2 ticks of slippage to reflect real-world execution costs.
Recommended Assets: Optimized for Nasdaq-100 components and high-volume growth stocks.
Timeframe: Best performance found on 65m or 4h intervals.
Stark Overnight Levelsovernight levels with asia high, asia low, midnight open, london high, london low
Old Indicator Multi-Component Decision StrategyStrategy to test signals based on rsi and few other technicals
Delta/Volume Bubble Strategy [Quant Z-Score] Maxxed VersionDelta/Volume Bubble Signals Maxxed Verison
This indicator combines advanced volume delta analysis with smart filtering to generate high-conviction intraday signals on futures like YM, ES, and NQ (5-minute charts perform particularly well in testing).
Special thanks to L&L Capital for the LNL Trend System, which provides the excellent dynamic chop detection and cloud visuals used here.
A very BIG thanks to tncylyv for the original volume delta bubble script — its Z-score normalization on extreme volume/delta is the foundation of the core detection logic.This entire system is now possible thanks to TradingView's addition of Volume Delta data in the Footprint chart, allowing accurate lower-timeframe delta aggregation without external feeds. Core Concept the indicator identifies extreme volume/delta spikes — moments when significant buying or selling pressure appears — and only signals when multiple confluence filters align. This results in lower-frequency, higher-quality trades that aim to capture institutional momentum while avoiding noise.
How It Works — Key Components Volume Delta Detection (The Heart of the System) Uses TradingView's built-in footprint delta (aggregated from lower TF, default 1-second bars).
Calculates absolute delta and applies a rolling Z-score (default lookback 60 bars) to normalize extremes across different volatility regimes and instruments.
Bubbles visualize spikes above threshold (default 1.7σ).
BUY/SELL signals require the same threshold plus additional filters.
Absorption Filter (Enabled by Default) Detects high volume/delta with minimal price movement ("effort vs result" failure = trapped traders).
Purple glow on bubbles + optional alert.
Signals are suppressed on absorption bars to avoid counter-trend traps.
Trend Filter (Nadaraya-Watson from jdehorty as default) Non-repainting kernel regression line for smooth, adaptive trend following.
Signals only fire when price is on the correct side of the trend line (above for longs, below for shorts). Can be disabled or switched to EMA/WMA/KAMA.
LNL Chop Filter (Tight Mode by Default) Dynamic ATR-based stop zones from L&L's system.
When stop levels appear on both sides of price = sideways/chop (no-go zone).
Signals completely suppressed during chop.
Usage Tips Best on intraday futures (YM 5-min has shown strong results in testing).
Defaults are tuned for balance: 1.7σ threshold, Tight LNL mode, absorption on.
Strategy version (separate script) adds LNL trailing stops for actual backtesting/exits.
Customize freely — try different LNL modes (Net for wider range), trend types, or Z-thresholds.
Also available the matching indicator by yours truly.
Important: Forward Test Thoroughly This indicator was refined on historical data, so there's always risk of over-fitting.
Always forward test on live or paper accounts for weeks/months before real capital: Validate across different market regimes (trending, ranging, high/low volatility).
Compare out-of-sample periods.
Adjust one parameter at a time and re-validate forward.
Markets change — what worked yesterday may need tweaking tomorrow.
Feel free to use, modify, and share. Good luck, and trade well! — Max
BZNESMAN - High Win Rate CCI + PSAR + MA Strategy (70%+ Target)High Win Rate CCI + PSAR + MA Strategy (70%+ Target)
Simple RSI Strategy - Rule Based Higher Timeframe Trading
HOW IT WORKS
With the default settings, the strategy buys when RSI reaches 30 and closes when RSI reaches 40 .
That’s it.
A simple, rule-based mean reversion strategy designed for higher timeframes , where market noise is lower and trading becomes easier to manage.
Core logic:
Long when RSI moves into oversold territory
Exit when RSI mean-reverts upward
Optional short trades from overbought levels
One position at a time (no pyramiding)
No filters.
No discretion.
Just clear, testable rules.
MARKETS & TIMEFRAMES
This strategy is intended for:
Indices (Nasdaq, S&P 500, DAX, etc.)
Liquid futures and CFDs
Higher timeframes: 2H, 4H and Daily
The published example is Nasdaq (NDX) on the 2-hour timeframe .
Higher timeframes are strongly recommended.
HOW TO USE IT
Apply the strategy on a higher timeframe
Adjust RSI levels per market if needed
Use TradingView alerts to avoid constant screen-watching
Focus on execution, risk control, and consistency
This strategy is meant to be a building block , not a complete trading business on its own.
For long-term consistency, it works best when combined with other uncorrelated, rule-based systems.
IMPORTANT
This is not financial advice
All results are historical and not indicative of future performance
Always forward-test and apply proper risk management
For additional notes, setups and related systems, visit my TradingView profile page .
ABCD Harmonic Pattern Strategy (Bull + Bear) This script is a strategy implementation of the classic ABCD Harmonic Pattern, designed for market structure analysis, backtesting, and educational research.
The ABCD pattern is one of the foundational harmonic price patterns in technical analysis. Its Fibonacci ratio relationships were formalized and standardized within harmonic trading theory by Scott M. Carney, whose work helped define modern harmonic pattern rules.
This strategy is conceptually inspired by educational ABCD pattern logic shared by the TradingView author theEccentricTrader.
The code, structure, execution logic, filters, and risk management have been independently developed, reconstructed, and extended into a complete TradingView strategy.
What this strategy does
Detects bullish and bearish ABCD harmonic patterns based on price structure and Fibonacci ratios.
Reconstructs ABCD market structure logic for both directions instead of using a simple visual inversion.
Draws the ABCD legs, structure labels (A, B, C, D), and projection levels directly on the chart.
Generates long and short trade entries using confirmed ABCD structures.
Includes optional confluence filters, such as:
Higher-timeframe EMA trend filter
RSI strength filter
ATR volatility filter
Volume confirmation
Candle body confirmation
Minimum bounce distance from point D
Provides built-in risk management, including:
Configurable Stop Loss
Configurable Take Profit
Optional trailing stop
Designed for backtesting, parameter optimization, and analytical research.
Why this strategy is different
This script is not a simple indicator conversion nor a basic bullish/bearish mirror.
The ABCD pattern logic has been recreated at the structural level to better reflect how bullish and bearish market formations behave in real price action.
Key differences
Reconstructed bullish and bearish structures
Bullish and bearish ABCD patterns are independently defined using market structure logic, not just inverted visually.
Each direction has its own pivot relationships and validation rules to produce a more faithful representation of the ABCD pattern.
Structure-aware pattern validation
Pattern confirmation is based on price swings, structure continuity, and Fibonacci alignment, helping reduce distorted or forced patterns.
Strategy-based execution
Unlike indicator-only ABCD tools that only visualize patterns, this script uses strategy.entry and strategy.exit, enabling full backtesting and performance analysis.
Confluence-driven entries
Trade entries can require multiple confirmation layers beyond the pattern itself, helping reduce low-quality signals and overtrading.
Integrated risk management
Stop Loss, Take Profit, and optional trailing logic are applied consistently for both long and short positions.
Non-repainting design
Pattern detection and entries rely on confirmed bars (barstate.isconfirmed) and higher-timeframe data with lookahead_off, ensuring signals do not repaint historically.
Improved and controlled visualization
Pattern drawings, projections, and entry markers are managed with strict object limits to comply with TradingView performance and publishing requirements.
How to use
Add the strategy to a chart and select a symbol and timeframe.
Enable or disable filters under “Entry Filters (Confluence)”.
Configure Stop Loss, Take Profit, and trailing behavior under “TP/SL”.
Use pattern drawings and entry markers as visual and analytical confirmation, not as standalone trade signals.
Important notes
This script is provided for educational and research purposes only.
It does not provide financial or investment advice.
No profitability or performance is implied or guaranteed.
Past performance does not indicate future results.
Always test across multiple markets and timeframes and apply proper risk management.
Credits
ABCD Harmonic Pattern: Harmonic trading principles as formalized by Scott M. Carney.
Conceptual inspiration: Educational ABCD pattern logic shared by @theEccentricTrader on TradingView.
Pattern reconstruction, strategy logic, and risk management: Independent development.
