Volume Exhaustion RSI Reversal StrategyKey Features:
Volume Logic:
1. Identifies two consecutive red bars (down periods) or green bars (up periods)
2. First down or up bars has the highest volume of the three
3. Volume decreases on the second down or up bars
4. Current (third) bar is green for up Reversal or red for down Reversal with higher volume than second bar
RSI Logic:
Uses standard 14-period RSI
Detects "V" shape pattern (decline, trough, rise)
Requires trough value <= 30 (oversold condition) or <= 70 (overbought condition)
Current bar shows RSI rising from trough
Execution:
Enters long/Short position when both volume and RSI conditions are met
Plots green "BUY/SELL" labels below the trigger candle
Visualization:
Green "BUY/SELL" labels appear below qualifying candles
Strategy positions shown in the strategy tester
How To Use:
Apply to any timeframe (works best on 5M-15M charts)
Combine with price action confirmation for example when candle 3 closes above candle 2 for "BUY" Or when Closes below for "SELL"
Ideal for oversold reversals in downtrends
Works best with volume-based assets
Note: The strategy enters at the close of the trigger candle. Always backtest before live trading and consider adding stop-loss protection.
Indicatori e strategie
New MA Cross Strategy V6 By BRC Different MA added with resolution to improve performance using higher time frame
ZYTX GKDDThe ZYTX High-Sell Low-Buy Indicator Strategy is a trend-following indicator that integrates multiple indicator resonances. It demonstrates the perfect performance of an automated trading robot, truly achieving the high-sell low-buy strategy in trading.
Momentum CCI Trend Following StrategyMomentum CCI Trend Following Strategy
The Momentum CCI Trend Following Strategy leverages dual Commodity Channel Index (CCI) indicators to identify momentum-driven trends, offering both long and optional short trading capabilities. By combining a 50-period Long CCI for trend direction with a 5-period Short CCI for momentum signals, it provides clear entry and exit points for traders. The strategy supports two-way trading, allowing users to toggle short positions to capitalize on both bullish and bearish markets.
SETTINGS
Long CCI Period: Defines the period (default: 50) for the Long CCI, used to gauge the primary trend direction.
Short CCI Period : Sets the period (default: 5) for the Short CCI, used to detect momentum shifts.
Enable Short Order Book : A boolean toggle (default: false) to enable or disable short trading, allowing flexibility for long-only or two-way trading strategies.
RSI StrategyDesigned for Options, this strategy uses the Relative Strength Index (RSI), a bounded‐oscillator (0–100) that compares a series’ average up‐moves with its average down‐moves over the last N bars (14 by default).
RSI < 30 → “oversold.”
RSI > 70 → “over-bought.”
ZYTX RSI SuperTrendZYTX RSI SuperTrend
ZYTX RSI + SuperTrend Strategy
The definitive integration of RSI and SuperTrend trend-following indicators, delivering exemplary performance in automated trading bots.
RAHA Strategy - LongThe RAHA Long Strategy is based on a unique average formula called RAHA – an acronym for:
Roni's Adjusted Hybrid Average – a formula developed by Aharon Roni Pesach.
What is RAHA?
This is an adjusted hybrid average that gives different weight to outliers:
The extreme values (particularly high or low) receive a lower weight.
The calculation is based on the standard deviation and average of the data.
This results in a more sensitive but stable average that does not ignore outliers – but rather considers them in proportion.
The RAHA Long Strategy identifies a positive trend and enters when clear technical conditions are met, such as an upward slope of RAHA 40, RAHA 10 crossing above RAHA 20, and the absence of a sequence of 3 green candles.
Entry is also made in the exceptional case of a green candle below the Bollinger Band.
The position size is determined by 1% of the capital divided by the stop.
The exit is carried out by a stop below the low, or under additional conditions above the profit target (TP).
אסטרטגיית הלונג RAHA מבוססת על נוסחת ממוצע ייחודית בשם RAHA – ראשי תיבות של :
Roni's Adjusted Hybrid Average – נוסחה שפיתח אהרון רוני פסח.
מהו RAHA?
מדובר בממוצע היברידי מתואם המעניק משקל שונה לנתונים חריגים:
הערכים הקיצוניים (גבוהים או נמוכים במיוחד) מקבלים משקל נמוך יותר.
החישוב מבוסס על סטיית התקן והממוצע של הנתונים.
כך מתקבל ממוצע רגיש אך יציב יותר, שאינו מתעלם מהחריגים – אלא מתחשב בהם בפרופורציה.
אסטרטגיית הלונג RAHA מזהה מגמה חיובית ומבצעת כניסה כשמתקיימים תנאים טכניים ברורים, כמו שיפוע עולה של RAHA 40, חציית RAHA 10 מעל RAHA 20, והיעדר רצף של 3 נרות ירוקים.
הכניסה מבוצעת גם במקרה חריג של נר ירוק מתחת לרצועת בולינגר.
גודל הפוזיציה נקבע לפי 1% מההון חלקי הסטופ.
היציאה מבוצעת לפי סטופ מתחת לנמוך, או בתנאים נוספים מעל יעד הרווח (TP).
ZYTX CCI SuperTrendZYTX CCI SuperTrend
The definitive integration of CCI and SuperTrend trend-following indicators, delivering exemplary performance in automated trading bots.
ZYTX SuperTrend V1ZYTX SuperTrend V1 Indicator
Multi-strategy intelligent rebalancing with >95% win rate
Enables 24/7 automated trading
Strategy with DI+/DI-, ADX, RSI, MACD, EMA + Time Stop [EXP. 1]🧠 Concept & Purpose
This strategy combines several time-tested technical indicators—DI+/DI-, ADX, RSI, MACD, and long-term EMAs—to filter trend strength, momentum, and timing precision. The goal was to develop a multi-layered trend-following system suitable for low timeframes (tested on BTCUSDT 5m) while controlling risk with tight stop-losses, a high reward ratio, and a time-based exit to avoid long exposure in sideways markets.
⚙️ Components & Logic
• ADX + DI+/DI-: Confirm the presence and direction of a strong trend.
• RSI: Used to filter momentum bias. Buy signals require RSI > 55, sell signals < 45.
• MACD Histogram: Ensures entry is aligned with short-term momentum shifts.
• Strong Candle Filter: Filters out weak entries using candle body % strength.
• EMA 600 & EMA 2400: Define long-term trend bias. Entries only occur within 25 bars after EMA crossover in trend direction.
• Time-Based Stop: If a trade doesn’t move at least 0.75% in favor within 85 bars, it is closed to minimize stagnation.
• Reward-Risk Management: 1% stop-loss, 7.5:1 reward-to-risk ratio.
• One Signal Per Trend Shift: Only takes the first entry after each EMA cross.
📊 Strategy Settings & Backtest Conditions
• Initial Capital: $10,000
• Commission: 0.1% per trade
• Timeframe: 5-minute
• Test Range: Jan–Apr 2023
• Sample Size: Limited (⚠️ <10 trades – experimental phase)
Backtest Results (v1.0)
This version showed:
• ✅ 66.7% win rate on 3 trades
• 📉 P/L: +11,257.46 USDT (+112.57%)
• 🔻 Max drawdown: 5.03%
• 📈 Profit factor: 11.01
In an earlier test configuration:
• ❌ 5 trades, 0 wins
• 📉 -14.45% total P&L
• ⚠️ All losses hit the 1.5% stop
• ⚠️ Profit factor: 0.00
This contrast shows how sensitive the logic is to market context and parameter tuning.
💡 Purpose of Publication
This strategy is experimental and educational. It is open-sourced for transparency and to help other traders learn how complex indicator stacking may or may not work in real environments. The failed and improved tests are both part of the process.
⚠️ Disclaimer
This script is not financial advice. Please do your own research, forward-test it thoroughly, and adjust parameters based on your asset and timeframe.
EMA 50/75/120 Golden & Death Cross Strategyuy: When all EMAs are aligned in golden cross order.
Sell: When all EMAs are aligned in death cross order.
Color Coding:
Green: All EMAs rising
Red: All EMAs falling
Gray: Mixed movement
Warrior Trading Momentum Strategy
# 🚀 Warrior Trading Momentum Strategy - Day Trading Excellence
## Strategy Overview
This comprehensive Pine Script strategy replicates the proven methodologies taught by Ross Cameron and the Warrior Trading community. Designed for active day traders, it identifies high-probability momentum setups with strict risk management protocols.
## 📈 Core Trading Setups
### 1. Gap and Go Trading
- **Primary Focus**: Stocks gapping up 2%+ with volume confirmation
- **Entry Logic**: Breakout above gap open with momentum validation
- **Volume Filter**: 2x average volume requirement for quality setups
### 2. ABCD Pattern Recognition
- **Pattern Detection**: Automated identification of classic ABCD reversal patterns
- **Validation**: A-B and C-D move relationship analysis
- **Entry Trigger**: D-point breakout with volume confirmation
### 3. VWAP Momentum Plays
- **Strategy**: Entries near VWAP with bounce confirmation
- **Distance Filter**: Configurable percentage distance for optimal entries
- **Direction Bias**: Above VWAP bullish momentum validation
### 4. Red to Green Reversals
- **Setup**: Reversal patterns after consecutive red candles
- **Confirmation**: Volume spike with bullish close required
- **Momentum**: Trend change validation with RSI support
### 5. Breakout Momentum
- **Logic**: Breakouts above recent highs with volume
- **Filters**: EMA20 and RSI confirmation for quality
- **Trend**: Established momentum direction validation
## ⚡ Key Features
### Smart Risk Management
- **Position Sizing**: Automatic calculation based on account risk percentage
- **Stop Loss**: 2 ATR-based stops for volatility adjustment
- **Take Profit**: Configurable risk-reward ratios (default 1:2)
- **Trailing Stops**: Profit protection with adjustable triggers
### Advanced Filtering System
- **Time Filters**: Market hours trading with lunch hour avoidance
- **Volume Confirmation**: Multi-timeframe volume analysis
- **Momentum Indicators**: RSI and moving average trend validation
- **Quality Control**: Multiple confirmation layers for signal accuracy
### PDT-Friendly Design
- **Trade Limiting**: Built-in daily trade counter for accounts under $25K
- **Selective Trading**: Priority scoring system for A+ setups only
- **Quality over Quantity**: Maximum 2-3 high-probability trades per day
## 🎯 Optimal Usage
### Best Timeframes
- **Primary**: 5-minute charts for entry timing
- **Secondary**: 1-minute for precise execution
- **Context**: Daily charts for gap analysis
### Ideal Market Conditions
- **Volatility**: High-volume, momentum-driven markets
- **Stocks**: Market cap $100M+, average volume 1M+ shares
- **Sectors**: Technology, biotech, growth stocks with news catalysts
### Account Requirements
- **Minimum**: $500+ for proper position sizing
- **Recommended**: $25K+ for unlimited day trading
- **Risk Tolerance**: Active day trading experience preferred
## 📊 Performance Optimization
### Entry Criteria (All Must Align)
1. ✅ Time filter (market hours, avoid lunch)
2. ✅ Volume spike (2x+ average volume)
3. ✅ Momentum confirmation (RSI 50-80)
4. ✅ Trend alignment (above EMA20)
5. ✅ Pattern completion (setup-specific)
### Risk Parameters
- **Maximum Risk**: 1-2% per trade
- **Position Size**: 25% of account maximum
- **Stop Loss**: 2 ATR below entry
- **Take Profit**: 2:1 risk-reward minimum
## 🔧 Customization Options
### Gap Trading Settings
- Minimum gap percentage threshold
- Volume multiplier requirements
- Gap validation criteria
### Pattern Recognition
- ABCD ratio parameters
- Swing point sensitivity
- Pattern completion filters
### Risk Management
- Risk-reward ratio adjustment
- Maximum daily trade limits
- Trailing stop trigger levels
### Time and Session Filters
- Trading session customization
- Lunch hour avoidance toggle
- Market condition filters
## ⚠️ Important Disclaimers
### Risk Warning
- **High Risk**: Day trading involves substantial risk of loss
- **Capital Requirements**: Only trade with risk capital
- **Experience**: Strategy requires active monitoring and experience
- **Market Conditions**: Performance varies with market volatility
### PDT Considerations
- **Day Trading Rules**: Accounts under $25K limited to 3 day trades per 5 days
- **Compliance**: Strategy includes trade counting for PDT compliance
- **Alternative**: Consider swing trading modifications for smaller accounts
### Backtesting vs Live Trading
- **Slippage**: Real trading involves execution delays and slippage
- **Commissions**: Factor in broker fees for accurate performance
- **Market Impact**: Large positions may affect fill prices
- **Psychological Factors**: Live trading involves emotional challenges
## 📚 Educational Value
This strategy serves as an excellent learning tool for understanding:
- Professional day trading methodologies
- Risk management principles
- Pattern recognition techniques
- Volume and momentum analysis
- Multi-timeframe analysis
## 🤝 Community and Support
Based on proven Warrior Trading methodologies with active community support. Strategy includes comprehensive plotting and information tables for educational purposes and trade analysis.
---
**Disclaimer**: This strategy is for educational purposes. Past performance does not guarantee future results. Always practice proper risk management and never risk more than you can afford to lose.
**Tags**: #DayTrading #Momentum #WarriorTrading #GapAndGo #ABCD #VWAP #PatternTrading #RiskManagement
RAHA Strategy - Short
Roni's Adjusted Hybrid Average – a formula developed by Aharon Roni Pesach.
What is RAHA?
This is an adjusted hybrid average that gives different weight to outliers:
The extreme values (particularly high or low) receive a lower weight.
The calculation is based on the standard deviation and average of the data.
This results in a more sensitive but stable average that does not ignore outliers – but rather considers them in proportion.
The RAHA Short Strategy identifies a negative trend and enters when clear technical conditions are met, such as a downward slope of RAHA 40, RAHA 10 crossing below RAHA 20, and the absence of a sequence of 3 red candles.
Entry is also made in the exceptional case of a red candle above the Bollinger Band.
The position size is determined by 1% of the capital divided by the stop.
The exit is carried out by a stop above the high, or under additional conditions below the profit target (TP).
אסטרטגיית השורט RAHA מבוססת על נוסחת ממוצע ייחודית בשם RAHA – ראשי תיבות של:
Roni's Adjusted Hybrid Average – נוסחה שפיתח אהרון רוני פסח.
מהו RAHA?
מדובר בממוצע היברידי מתואם המעניק משקל שונה לנתונים חריגים:
הערכים הקיצוניים (גבוהים או נמוכים במיוחד) מקבלים משקל נמוך יותר.
החישוב מבוסס על סטיית התקן והממוצע של הנתונים.
כך מתקבל ממוצע רגיש אך יציב יותר, שאינו מתעלם מהחריגים – אלא מתחשב בהם בפרופורציה.
אסטרטגיית השורט RAHA מזהה מגמה שלילית ומבצעת כניסה כשמתקיימים תנאים טכניים ברורים, כמו שיפוע יורד של RAHA 40, חציית RAHA 10 מתחת ל‑RAHA 20, והיעדר רצף של 3 נרות אדומים.
הכניסה מבוצעת גם במקרה חריג של נר אדום מעל רצועת בולינגר.
גודל הפוזיציה נקבע לפי 1% מההון חלקי הסטופ.
היציאה מבוצעת לפי סטופ מעל הגבוה, או בתנאים נוספים מתחת ליעד הרווח (TP).
Az's EMA Scalper with Trend Confirmation (Fast TF)Az's EMA Scalper with Trend Confirmation combines fast-moving average signals with multi-timeframe trend analysis for precision intraday trading. The strategy uses a customizable moving average (7 types including EMA, HMA, ALMA) applied to Heikin-Ashi or regular candles on user-defined timeframes.
Core Mechanics:
Trend Identification:
Calculates MA values for open/close/high/low prices
Determines trend direction Bullish (green) and bearish (red)
Entry Signals:
Long entries when MA_close crosses above MA_open
Short entries when MA_close crosses below MA_open
Trade filters: LONG/SHORT/BOTH/NONE
Risk Management:
Fixed stop loss (points)
Fixed take profit (points)
Auto-position closing for directional modes
Visual Features:
Colored trend cloud (bullish/bearish)
Optional MA plots for close/high/low
Customizable colors and transparency
Optimized For:
Fast timeframes (1-15min charts)
Configurable trend confirmation (any higher timeframe)
Backtesting window control
The strategy simplifies price action into clear visual trends while maintaining flexibility through 15+ input parameters. Trades align with the dominant trend direction shown by the colored MA cloud, with exits triggered by profit targets, stop losses, or counter-trend MA crosses.
Turtle Trading Strategy (Simplified)This TradingView script is a powerful implementation of the classic Turtle Trading strategy, designed to help traders capitalize on significant market trends. Built using Pine Script, it can function as an indicator to highlight the specific entry and exit signals derived from the Turtle rules, or as a fully automated strategy to execute trades based on these signals. Users can fine-tune critical parameters like the lookback periods for breakouts and exits, enabling them to adapt the strategy to different market conditions and asset classes. The script leverages Pine Script's robust capabilities to accurately calculate and display the Turtle System's core logic, including position sizing based on volatility (ATR), providing a clear and systematic approach to trend-following directly on their TradingView charts.
SQZMOM Breakout Strategy📌 SQZMOM Breakout Strategy – Optimized for 15-Minute Intraday Trading
SQZMOM Breakout Strategy is a momentum and volatility-based algorithmic trading system, primarily built around the Squeeze Momentum (SQZMOM) indicator. It is specifically optimized for 15-minute timeframes to exploit intraday breakouts and trend continuations.
📊 Key Features:
✅ Breakout signals based on the Squeeze Momentum indicator
✅ Trend filter using 200-period WMA (visual only, not affecting entries)
✅ RSI filter to avoid trades in overbought/oversold zones
✅ Volume and ATR filters to confirm breakout quality
✅ Position sizing dynamically scales from 5% to 20% based on signal strength
✅ Trailing Stop Loss based on user-adjustable ATR multiple (default: 2.0 ATR)
✅ No fixed Take Profit: trades ride the trend using trailing stops
⚙️ Configurable Inputs:
Bollinger Band & Keltner Channel parameters
RSI thresholds (fixed at 40 to avoid early entries against momentum)
Trailing Stop distance defined by ATR Multiplier for Trailing Stop
All parameters are user-tunable for further optimization
🟢 When Does It Enter a Trade?
Long Entry:
SQZMOM fires bullish breakout + momentum increases + price above WMA200 + sufficient volume & ATR + RSI > 40
Short Entry:
SQZMOM fires bearish breakout + momentum decreases + price below WMA200 + sufficient volume & ATR + RSI < 40
Signal entries are deferred until all filters (especially RSI) align — no crossover logic is used
🎯 Trade Management:
Position Sizing: Adjusted according to momentum strength (val), from 5% to 20%
Exit Strategy: Trailing Stop only, no hard TP — lets profits run
TP/SL logic: Trailing SL moves dynamically with price, distance = ATR × multiplier
📚 Scientific & Practical Foundations:
The model is inspired by John Carter’s “TTM Squeeze” principle: volatility contraction followed by explosive momentum
Position sizing and ATR-based trailing logic follow Ernie Chan’s adaptive risk framework in Algorithmic Trading (2013)
RSI as a trend-quality gate is consistent with classic momentum confirmation rules
Breakout with ATR & Volume Filter🚀 Introducing Our New Breakout Strategy: Powerful Signals with ATR & Volume Filters
Designed specifically for the fast and volatile crypto markets, this breakout strategy delivers robust signals on Bitcoin’s 15-minute charts.
🌟 Key Features:
ATR filter ensures entries only during high volatility periods, reducing false signals.
Volume confirmation captures strong and reliable breakouts.
20-period support/resistance breakout levels identify early trend moves.
Scientifically optimized stop loss and take profit levels provide effective risk management.
Simple, clear, and effective — ideal for both beginners and professional traders.
🔥 Why Choose This Strategy?
It filters out market noise and focuses on genuine momentum moves, increasing your chances of success by leveraging real-time volatility and volume conditions.
📈 How to Use
Easily deploy on TradingView with customizable parameters. Perfect for traders who need quick, confident decisions in crypto markets.
Get closer to success in BTC trading with reliable signals and smart risk management!
EMA Cross Strategy only Long📈 EMA Cross Strategy – Only Long
Simple. Clean. Powerful. Designed for strong uptrends.
This is a long-only trend-following strategy based on the classic crossover of Exponential Moving Averages (EMAs). It’s designed for growth stocks and trending assets where upward momentum dominates.
⚙️ How it works:
Entry: when the Fast EMA crosses above the Slow EMA
Exit: when the Fast EMA crosses below the Slow EMA
No shorts, no reversals – just pure trend riding.
By default, the strategy uses 50/100 EMA, which has performed exceptionally well on stocks like NVIDIA (NVDA). These settings can be easily customized to fit your preferred asset or timeframe.
📊 Backtest Example – NVIDIA (NVDA, 1D timeframe)
Test parameters:
Initial capital: $10,000
Order size: 50% of equity per trade (adjustable in settings)
Results:
Net profit: +$2,037,563.63 USD
Gross profit: $2,127,432.33
Gross loss: $89,868.70
Max equity growth: $2,708,648.75 (+99.63%)
Drawdown: 20.00%
Buy & Hold profit: +$30,636,000 USD (but with far more exposure)
The strategy dramatically outperformed passive holding on a risk-adjusted basis, while keeping drawdowns and trade count under control.
🔧 Customization & Risk Management
In the Strategy Settings, you can adjust:
EMA lengths (default: 50 fast, 100 slow)
Order size as a % of equity (e.g., reduce below 50% to lower drawdown)
Backtest range and asset type (works well on growth stocks and trending commodities)
Try this on assets with strong bullish cycles like NVDA, AAPL, MSFT, or Gold (XAU/USD).
⚠️ Disclaimer
This script is for educational and backtesting purposes only. It is not financial advice. Please do your own research and test carefully before trading live.
Turtle Strategy Pullback EntryThis strategy, titled “Turtle Strategy Pullback Entry”, is a trend-following system designed to capture breakouts more efficiently by entering after a slight pullback. Instead of buying immediately when the price breaks the 20-day high, the strategy waits for the price to pull back by 1% below that high, offering a better entry point and reducing the chances of false breakouts. Once the pullback level is reached, a long position is initiated. The trade is then managed using three exit conditions: it will close if the price drops 1.4% below the entry (acting as a stop loss), if the price rises 1.8% above the entry (taking profit), or if the price closes below the 20-day low, which serves as a trend invalidation signal. The position size is based on 100% of the equity by default, and the chart visually shows the 20-day high, low, and pullback level along with a green background when a position is active. This approach helps traders ride strong trends while avoiding premature entries, making it suitable for swing or position trading across stocks, forex, or crypto markets.
JAN - OCT [old] Engulfing Pattern Strategyold engulfing that is bad and shouldnt be used and if you do use it, then proceed at your own pearl. and i have to keep making this description longer other it wont publish which is annoying so this is just words to make the description longer so i can publish
Civan Ali'nin Sihirli Çizgisi🧙♂️ Civan Ali’s Magic Line
Sense the trends, don’t miss the moves!
This strategy is built on two magically effective foundations:
📏 Moving Averages (WMA 50 & 200) and
🧠 CCI signals powered by the IFT Combo filter.
How It Works
🔹 When price starts accelerating upward and the short-term average (WMA50) crosses above the long-term (WMA200), a potential long signal forms.
🔻 If it crosses downward, a short signal is considered.
But it doesn’t jump in immediately!
🎯 To avoid “noisy” market moves, the system uses an Inverse Fisher Transform (IFT) filter.
Only when momentum is truly strong does it allow trades.
Why It’s Different
✅ Detects trend direction
✅ Filters out weak signals
✅ Manages risk and profit intelligently
And while doing all that, it warns you with magical labels and emojis on the chart.
In short: It’s both effective and entertaining. 🎯
EMA 9/21 Crossover Strategy w/ Reversals + Shading9 and 21 EMA cross over. Buy and sell signals on cross over
時間指定比較 → エントリー&決済+アラート⏰ Time-Based Simple Trade Strategy (Compare → Entry → Exit)
This script implements a time-driven trading strategy that compares price movement between two minute-based points within an hour,
and then enters and exits trades based on your custom schedule.
🔧 Key Features:
User-configurable start and end minutes for price comparison
Determines direction: Long if price increased, Short if decreased
Customizable entry time and exit time
Visual chart signals and alerts
Uses strategy.entry() and strategy.close() for automated backtesting
✅ Example Use:
If price increased from 0 to 15 minutes → Long entry at 30min, exit at 45min
If price decreased → Short entry and exit accordingly
Use 1-minute or 5-minute timeframe for best results.