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
波動率
Market Maker Trap Reversal V1Market Maker Trap Reversal V1 is a lightweight, precision-focused tool designed to detect the same liquidity manipulation tactics used by institutional players and market makers.
This script identifies key liquidity sweeps of prior swing highs/lows and confirms trap reversals when price closes back inside the swept range — a signature move of smart money designed to trap retail breakout traders.
Built for disciplined execution, this tool includes:
✅ Sweep detection using custom swing lookbacks
✅ Convincing trap confirmation (strong candle body)
✅ Optional NY session filter for optimal timing
✅ Clean long/short alerts for seamless automation
✅ No indicators — just raw price action and intent
Use this strategy to mirror market maker logic, avoid false breakouts, and trade with real conviction around liquidity events.
**Coded with the help of Zero"
RSI-Adaptive T3 + Squeeze Momentum Strategy✅ Strategy Guide: RSI-Adaptive T3 + Squeeze Momentum Strategy
📌 Overview
The RSI-Adaptive T3 + Squeeze Momentum Strategy is a dynamic trend-following strategy based on an RSI-responsive T3 moving average and Squeeze Momentum detection .
It adapts in real-time to market volatility to enhance entry precision and optimize risk.
⚠️ This strategy is provided for educational and research purposes only.
Past performance does not guarantee future results.
🎯 Strategy Objectives
The main objective of this strategy is to catch the early phase of a trend and generate consistent entry signals.
Designed to be intuitive and accessible for traders from beginner to advanced levels.
✨ Key Features
RSI-Responsive T3: T3 length dynamically adjusts according to RSI values for adaptive trend detection
Squeeze Momentum: Combines Bollinger Bands and Keltner Channels to identify trend buildup phases
Visual Triggers: Entry signals are generated from T3 crossovers and momentum strength after squeeze release
📊 Trading Rules
Long Entry:
When T3 crosses upward, momentum is positive, and the squeeze has just been released.
Short Entry:
When T3 crosses downward, momentum is negative, and the squeeze has just been released.
Exit (Reversal):
When the opposite condition to the entry is triggered, the position is reversed.
💰 Risk Management Parameters
Pair & Timeframe: BTC/USD (30-minute chart)
Capital (simulated): $30,00
Order size: `$100` per trade (realistic, low-risk sizing)
Commission: 0.02%
Slippage: 2 pips
Risk per Trade: 5%
Number of Trades (backtest period): 181
📊 Performance Overview
Symbol: BTC/USD
Timeframe: 30-minute chart
Date Range: January 1, 2024 – July 3, 2025
Win Rate: 47.8%
Profit Factor: 2.01
Net Profit: 173.16 (units not specified)
Max Drawdown: 5.77% or 24.91 (0.79%)
⚙️ Indicator Parameters
Indicator Name: RSI-Adaptive T3 + Squeeze Momentum
RSI Length: 14
T3 Min Length: 5
T3 Max Length: 50
T3 Volume Factor: 0.7
BB Length: 27 (Multiplier: 2.0)
KC Length: 20 (Multiplier: 1.5, TrueRange enabled)
🖼 Visual Support
T3 slope direction, squeeze status, and momentum bars are visually plotted on the chart,
providing high clarity for quick trend analysis and execution.
🔧 Strategy Improvements & Uniqueness
Inspired by the RSI Adaptive T3 by ChartPrime and Squeeze Momentum Indicator by LazyBear ,
this strategy fuses both into a hybrid trend-reversal and momentum breakout detection system .
Compared to traditional trend-following methods, it excels at capturing early trend signals with greater sensitivity .
✅ Summary
The RSI-Adaptive T3 + Squeeze Momentum Strategy combines momentum detection with volatility-responsive risk management.
With a strong balance between visual clarity and practicality, it serves as a powerful tool for traders seeking high repeatability.
⚠️ This strategy is based on historical data and does not guarantee future profits.
Always use appropriate risk management when applying it.
Victor Osimhen Galatasaray⚽ Victor Osimhen Strategy – Ride the Momentum, Rule the Market!
Hello dear trader! 👋
We’re proud to introduce a strategy designed for crypto markets, built to be fast, smart, and resilient — just like its namesake:
📈 The Victor Osimhen Strategy ⚽
Much like the unstoppable striker himself, this strategy:
Kicks off early
Strikes at the right moment
Knows exactly when to exit the field
🧠 What Powers the Strategy?
Victor Osimhen is based on three proven elements:
WaveTrend – A powerful momentum signal for entry
Volatility Stop (VStop) – A trend direction filter
Advanced Trailing Stop – A smart exit that adapts to price action
With full Multi-Timeframe (MTF) support, it tracks the bigger picture while reacting to finer movements:
For example: While viewing the 4H chart, it listens to signals from the 2H timeframe, offering early and more accurate entries/exits.
🪙 Why Does It Work Better in Crypto?
✅ It’s built for the high volatility and 24/7 nature of crypto markets
✅ It reacts fast to momentum shifts
✅ It filters out noise using trend confirmation
✅ And it adapts dynamically with its advanced trailing exit logic
🎁 A Friendly Request
If this strategy brings you profits — and if you feel like sharing the joy —
we’d be truly happy if you considered donating a portion to Galatasaray Sports Club 💛❤️
(Of course, this is entirely voluntary and from the heart!)
🔒 Final Reminder
This strategy isn’t magic — but when used with discipline, patience, and risk control, it can be a game-changer.
Please test it in demo mode first, and only go live when you're ready.
🏁 Good Luck!
With the Victor Osimhen Strategy, you're now equipped to:
✅ Catch early momentum
✅ Stay aligned with the trend
✅ Protect your profits with style
Wishing you strong signals and solid trades!
Volatility Flow X | Dual Trend Strategy [VWMA+SMA+ADX]📌 Strategy Title
Volatility Flow X | Dual Trend Strategy
🧾 Description
🚀 Strategy Overview
Volatility Flow X is a dual-directional trading strategy that combines Volume-Weighted MA (VWMA) for momentum, Simple MA (SMA) for trend direction, ADX for trend strength filtering, and ATR-based volatility cloud for dynamic support/resistance zones.
It is designed specifically for high-volatility assets like BTC/USD on intraday timeframes such as 15 min, 30 min, and 1 hour — offering both breakout and trend-following opportunities.
🔬 Technical Components and Sources
1. VWMA (Volume-Weighted Moving Average)
Captures volume-weighted momentum shifts.
📚 Kirkpatrick & Dahlquist (2010) — “Technical Analysis”
2. SMA (Simple Moving Average)
Used as a baseline trend direction validator.
📚 Ernie Chan — “Algorithmic Trading” (2013)
3. ADX (Average Directional Index)
Filters out low-conviction signals based on trend strength.
📚 J. Welles Wilder (1978) — ADX in directional movement systems
4. ATR Cloud (Volatility Envelope)
Creates upper and lower dynamic bands using ATR to visualize trend pressure.
📚 Zunino et al. (2017) — Fractal volatility behavior in Bitcoin markets
🧠 Key Features
✅ 3 configurable Long signal modes
✅ 3 configurable Short signal modes
✅ Manually switchable signals for flexibility
✅ Auto-calculated TP/SL using ATR and risk/reward ratio
✅ ADX filter to avoid choppy trends
✅ Visual cloud overlay for support/resistance
✅ Suitable for scalping and short-term swing trading
⚙️ Recommended Settings (for BTC/USDT – 30min)
VWMA Length = 18
SMA Length = 50
ATR Length = 14, Multiplier = 2.5
Risk-Reward Ratio = 1.5
ADX Length = 14, Threshold = 18, Lookback = 4
⚠️ Disclaimer
This strategy is not financial advice. Please backtest and understand the risks before using it in live markets.
Volatility Flow X – MACD + Ichimoku Hybrid Trail🌥️ Volatility Flow X – Hybrid Ichimoku Cloud Explained
This strategy combines Ichimoku’s cloud structure with real-time price position.
Unlike standard Ichimoku coloring, the cloud here reflects both trend direction and price behavior.
🔍 What the Cloud Colors Mean
🟢 Green Cloud
Senkou A > Senkou B
Price is above the cloud
→ Indicates strong uptrend; suitable for long entries
🔴 Red Cloud
Senkou A < Senkou B
Price is below the cloud
→ Indicates strong downtrend; suitable for short entries
⚪ Gray Cloud
Price contradicts trend, or price is inside the cloud
→ Represents indecision, low momentum; best to avoid entries
⚙️ Technical Features
Ichimoku Components: Tenkan-sen, Kijun-sen, Senkou Span A & B, Chikou Span
Cloud Transparency: 30%
MACD Filter: Optional momentum confirmation (customizable)
Trailing Stop: Optional dynamic trailing stop after trigger level
Directional Control: Long and short trailing rules can be set independently
📚 References
Ichimoku Charts – Nicole Elliott
Algorithmic Trading – Ernie Chan
TradingView Pine Script and hybrid trend models
⚠️ Disclaimer
This strategy is for educational and backtesting purposes only.
It is not financial advice. Always test thoroughly before applying to real trades.
MPS v3.2 – MicroStructure Pulse Scalper📌 MPS v3.2 – MicroStructure Pulse Scalper
Description:
MPS v3.2 is an advanced scalping strategy tailored for precision entries on low timeframes. Built around microstructure theory and volatility behavior, it integrates a fusion of institutional-grade filters for trade validation, including:
• VWAP Z-Score Deviation – mean-reversion logic from anchored value
• Volume Spike Detection – identifies aggressive orderflow surges
• Volatility Expansion – signals breakouts using dynamic ATR range
• Liquidity Sweeps (Stop-Hunts) – detects market maker traps
• Bullish/Bearish Pin Bar Confirmation – filters false sweeps
• Signal Clustering Memory – boosts signal reliability via AI-style memory
• Trend, Session, and Risk Filters – optional layers for alignment
• Visual Enhancements – gradient candles, entry zone heatmap, and stats panel
Key Features:
Risk/Reward-based exit OR VWAP take profit
Trailing stop functionality
Adaptive “Aggressive Mode” for early entries
Clean, minimal dashboard with live performance stats
Built for 1m–5m scalping, optimized for BTC/ETH and other liquid pairs
GrowthX 365📌 GrowthX 365 — Adaptive Crypto Strategy
GrowthX 365 is a precision-built Pine Script strategy designed for crypto traders who want hands-off, high-frequency execution with clear, consistent logic.
It adapts dynamically to market volatility using multi-timeframe filters and manages exits with a smart 3-tier take-profit and stop-loss system.
Built for automation, GrowthX 365 helps eliminate emotional decision-making and gives traders a rules-based, 24/7 edge across major crypto pairs.
⚙️ Core Features:
• ✅ Multi-timeframe, non-repainting trend confirmation
• ✅ Configurable TP1 / TP2 / TP3 + Fixed SL
• ✅ Trailing stop & risk-reward tuning supported
• ✅ On-chart labels, trade visuals & stat dashboard
• ✅ Fully compatible with Cornix, WunderTrading, 3Commas bots
• ✅ Works in trending, ranging, and volatile markets
🧪 Strategy Backtest Highlights (May 2025)
🔹 EIGEN/USDT — 15m Timeframe
• Net Return: +318%
• Drawdown: $35 (3.5%)
• Trades: 247
• Win Rate: 49%
📸 Screenshot: ibb.co
🔹 AVAX/USDT — 15m Timeframe
• Net Return: +108%
• Drawdown: $22.5 (2.25%)
• Trades: 115
• Win Rate: 49%
📸 Screenshot: ibb.co
🧪 Backtest settings used:
Capital: $1000 • Risk per trade: $100 • Slippage: 0.1% • Commission: 0.04%
📌 These results reflect one-month performance. Strategy has shown similar behavior across coins like SOL, INJ, and ARB in trending markets.
⚠️ Backtest performance does not guarantee future results. Always validate settings per coin and timeframe.
Access:
This script is invite-only and closed-source.
Please check my profile signature for access details.
Pro Strategy: This invite-only strategy is part of the POCKET Signal Suite – a professional-grade system designed for traders who want high-confidence entries, volatility-adjusted risk management, and automated execution via webhooks (CryptoHopper-ready).
Strategy Highlights:
🔹 Smart Trend Filter
Only trades in strong bullish trends – a proven higher timeframe trend filter.
🔹 Momentum Confirmation
filter out weak or choppy setups.
🔹 Volume Breakout Detection
Enters only on high-volume breakout conditions, filtering out low-momentum moves.
🔹 Dynamic Risk Management
Utilizes ATR-based Stop Loss and a configurable Take Profit system, including trailing TP for trend continuation trades.
🔹 Webhook-Ready Alerts
Fully compatible with CryptoHopper OR OTHER BOT via webhook
Best For:
15min–1h crypto charting
Swing & intraday strategies
Automated systems via webhook (CryptoHopper, 3Commas, etc.)
Ultimate Gold Automated Strategy By Golden BALLAGE
FREE FOR A LIMITED PERIOD OF TIME
🔥 Special Bonus for Early Adopters:
* Free Strategy Optimization Session (Value: $200)
* Exclusive Access to Future Updates (Value: $150)
* Private Trader Community Access (Value: $100)
Total Bonus Value: $450 BUT
JUST $29 for the first 10 Lucky Subscribers!
🏆The Ultimate Gold Trading System for Serious Traders
🎯 Transform Your Gold Trading with my Professional-Grade Algorithm
Are you tired of inconsistent gold trading results? Ready to trade XAUUSD like institutional professionals? This advanced multi-timeframe strategy combines cutting-edge technical analysis with sophisticated risk management to deliver consistent, profitable results in the volatile gold market.
⚡ What Makes This Strategy Revolutionary?
🧠 Multi-Dimensional Market Analysis
* Multi-Timeframe Convergence: Analyzes higher and lower timeframes simultaneously for high-probability setups
* Dynamic Trend Detection: Advanced EMA system with slope analysis for precise trend identification
* Smart Momentum Filtering: RSI and MACD integration with divergence detection
* Market Structure Recognition: Automatic swing high/low detection and structure break analysis
🛡️ Institutional-Level Risk Management
* Dynamic Position Sizing: Automatically calculates optimal position size based on your risk tolerance
* Adaptive Stop Loss: ATR-based stops that adjust to market volatility
* Advanced Trailing System: Protects profits while letting winners run
* Drawdown Protection: Built-in emergency exits when market conditions deteriorate
* Risk-Reward Optimization: Minimum 2:1 RR ratio ensures favorable risk profile
🕐 Session-Aware Trading Intelligence
* Global Session Optimization: Trades only during high-liquidity sessions (London, NY, Asian)
* Overlap Priority: Focuses on London-NY overlap periods for maximum opportunity
* News Event Filtering: Automatically avoids high-impact news periods
* Spread Monitoring: Ensures optimal entry conditions with spread filtering
📊 Professional-Grade Features
🎨 Visual Intelligence Dashboard
* Color-Coded Trend Visualization: Instantly identify market direction
* Dynamic Support/Resistance Levels: Real-time key level identification
* Session Highlighting: Visual session overlay for optimal timing
* Volatility Warnings: Alerts for extreme market conditions
📈 Real-Time Performance Monitoring
* Live Statistics Table: Track win rate, profit factor, and drawdown in real-time
* Performance Metrics: Comprehensive analysis of strategy effectiveness
* Risk Monitoring: Current drawdown and equity tracking
* Session Status: Live indication of optimal trading periods
🎖️ Why Professional Traders Choose This Strategy
✅ Proven Performance Metrics
* High Win Rate Optimization: Designed for consistent profitability
* Superior Risk-Adjusted Returns: Maximum profit with controlled risk
* Adaptive to Market Conditions: Performs in trending and ranging markets
* Backtested Excellence: Thoroughly tested across multiple market cycles
✅ Complete Trading Solution
* No Guesswork: Algorithm handles all analysis and decision-making
* Emotional Trading Elimination: Systematic approach removes psychological barriers
* Time Efficiency: Perfect for busy professionals and part-time traders
* Scalable: Works with any account size with proper risk management
✅ Advanced Technology Stack
* Pine Script v6: Latest technology for optimal performance
* Multi-Indicator Fusion: Combines the best of technical analysis
* Real-Time Execution: Processes every tick for precise entries and exits
* Customizable Parameters: Fine-tune to match your trading style
🚀 Perfect For:
* Serious Gold Traders seeking consistent profits
* Busy Professionals who need automated precision
* Risk-Conscious Investors prioritizing capital preservation
* Swing Traders looking for high-probability setups
* Portfolio Managers requiring systematic approaches
💎 What You Get:
📋 Complete Strategy Package
* ✅ Detailed parameter explanations and optimization guide
* ✅ Risk management framework and position sizing calculator
* ✅ Session timing and market condition filters
* ✅ Visual dashboard with real-time performance metrics
📚 Comprehensive Documentation
* ✅ Strategy logic explanation
* ✅ Parameter optimization guidelines
* ✅ Risk management best practices
* ✅ Troubleshooting and common questions
* ✅ Performance analysis and improvement tips
🎯 Ongoing Support
* ✅ Setup assistance and installation guidance
* ✅ Parameter customization recommendations
* ✅ Strategy updates and improvements
* ✅ Market condition adaptation advice
⏰ Limited Time Opportunity
This professional-grade strategy represents months of development and years of trading experience condensed into a powerful, automated system. Don't let another profitable gold move pass you by.
🏆 Join the Elite Circle of Profitable Gold Traders Today!
Stop gambling with your capital. Start trading like a professional.
This isn't just another indicator - it's your pathway to consistent gold trading success.
⚠️ Disclaimer: Past performance does not guarantee future results. Trading involves risk of capital loss. Only trade with money you can afford to lose.
8↔20 EMA Cross with 100‑EMA Trend – NY SessionWhat each EMA does 🎯
EMA Typical look-back Role in the setup
8-EMA ~ 2 trading days on a 5-min chart (8 recent closes) Trigger line – reacts quickest to price; defines very short-term momentum.
21-EMA ~ 1 trading week on a 5-min chart Signal line – smooths noise; confirms momentum once it persists a bit.
100-EMA Varies with timeframe (≈ one month of 5-min data) Trend filter – separates bullish from bearish regimes so you only trade in the dominant direction.
RAHA Indicator📈 RAHA Indicator
Roni's Adjusted Hybrid Average
The indicator developed by Aaron Roni Pesach combines an innovative RAHA average - an adjusted hybrid average with smart trend analysis, using additional oscillators in a sophisticated way.
LONG and SHORT signals are given only when:
✅ Technical conditions confirm
✅ And the long-term trend is consistent
RAHA Indicator helps traders identify entry points while filtering out noise and market anomalies.
📈 RAHA Indicator
Roni's Adjusted Hybrid Average
האינדיקטור שפותח על ידי אהרון רוני פסח משלב ממוצע חדשני מסוג RAHA - ממוצע היברידי מתואם עם ניתוח מגמה חכם, באמצעות שימוש במתנדים נוספים באופן מתוחכם.
איתותי LONG ו‑SHORT ניתנים רק כאשר:
✅ התנאים הטכניים מאשרים
✅ והמגמה בטווח ארוך תואמת
RAHA Indicator מסייע לסוחרים לזהות נקודות כניסה תוך סינון רעשים וחריגות שוק.
RAHA Indicator📈 RAHA Indicator
Roni's Adjusted Hybrid Average
The indicator developed by Aaron Roni Pesach combines an innovative RAHA average - an adjusted hybrid average with smart trend analysis, using additional oscillators in a sophisticated way.
LONG and SHORT signals are given only when:
✅ Technical conditions confirm
✅ And the long-term trend is consistent
RAHA Indicator helps traders identify entry points while filtering out noise and market anomalies.
📈 RAHA Indicator
Roni's Adjusted Hybrid Average
האינדיקטור שפותח על ידי אהרון רוני פסח משלב ממוצע חדשני מסוג RAHA - ממוצע היברידי מתואם עם ניתוח מגמה חכם, באמצעות שימוש במתנדים נוספים באופן מתוחכם.
איתותי LONG ו‑SHORT ניתנים רק כאשר:
✅ התנאים הטכניים מאשרים
✅ והמגמה בטווח ארוך תואמת
RAHA Indicator מסייע לסוחרים לזהות נקודות כניסה תוך סינון רעשים וחריגות שוק.
PROInvesting.co Quant.Algo - AlphaCentauri |XLF| DEMOTimeframe:
Daily
Leverage:
Leverage is not recommended.
💼 Use in Portfolio Context
This strategy is most effective as part of a diversified portfolio. We recommend combining it with other systems that show negative or low correlation to reduce overall risk and enhance performance consistency.
🛡️ Risk Management
Effective risk management is achieved through disciplined position sizing and integration with complementary trading systems. The use of advanced risk metrics, such as Value at Risk (VaR) targeting and Expected Shortfall (ES) targeting, is encouraged to provide enhanced downside protection.
🔹Overview:
This strategy is specifically built for trading XLF, which represents the financial sector of the S&P 500. It focuses on identifying directional opportunities within banks, insurance companies, asset managers, and other major financial institutions. The daily timeframe allows for a balance between signal stability and responsiveness.
🔹Intelligent Signal (AI-Powered):
Our AI-driven system scans market structure, sector-specific volatility, and macroeconomic indicators—such as interest rates and yield curves—to generate precise entry and exit signals aligned with financial sector momentum.
🔹Important Note:
This strategy has been optimized for XLF and other financial sector ETFs. If you plan to trade sector exposure via futures, CFDs, or alternative instruments, please contact us for customized adjustments and risk parameters.
AlgoChadLin's BITCOIN H1 Breakout Strategy No.545Strategy Overview
AlgoChadLin's BITCOIN H1 Breakout Strategy No.545 is a sophisticated breakout trading system designed for Bitcoin on the H1 timeframe. It integrates multiple volatility and price action indicators to identify high-probability breakout opportunities, aiming to capitalize on significant market movements.
Auther: @algochadlin
Strategy Logic
Breakout Confirmation: Utilizes a combination of Average True Range (ATR) and Bollinger Bands to identify periods of low volatility followed by sharp price movements.
Long: Initiated when the price breaks above the previous hour's upper Bollinger Band, with ATR confirming increased volatility.
Short: Triggered when the price breaks below the previous hour's lower Bollinger Band, with ATR indicating heightened volatility.
Parameters
Price Entry Multiplier: Adjusts the entry price relative to the breakout level.
Exit After Bars: Specifies the number of bars to hold the position before exiting.
Profit Target (%): Defines the percentage gain at which to take profit.
Stop Loss Coefficient: Multiplier for ATR to calculate stop-loss distance.
Trailing Stop Coefficients: Defines the trailing stop parameters.
Biggest Range Period: Determines the lookback period for identifying the largest price range.
Setup
Timeframe: 1-Hour (H1)
Asset: Bitcoin, also suitable for ETH
Options Strategy V1.3📈 Options Strategy V1.3 — EMA Crossover + RSI + ATR + Opening Range
Overview:
This strategy is designed for short-term directional trades on large-cap stocks or ETFs, especially when trading options. It combines classic trend-following signals with momentum confirmation, volatility-based risk management, and session timing filters to help identify high-probability entries with predefined stop-loss and profit targets.
🔍 Strategy Components:
EMA Crossover (Fast/Slow)
Entry signals are triggered by the crossover of a short EMA above or below a long EMA — a traditional trend-following method to detect shifts in momentum.
RSI Filter
RSI confirms the signal by avoiding entries in overbought/oversold zones unless certain momentum conditions are met.
Long entry requires RSI ≥ Long Threshold
Short entry requires RSI ≤ Short Threshold
ATR-Based SL & TP
Stop-loss is set dynamically as a multiple of ATR below (long) or above (short) the entry price.
Take-profit is placed as a ratio (TP/SL) of the stop distance, ensuring consistent reward/risk structure.
Opening Range Filter (Optional)
If enabled, the strategy only triggers trades after price breaks out of the 09:30–09:45 EST range, ensuring participation in directional moves.
Session Filters
No trades from 04:00 to 09:30 and from 16:00 to 20:00 EST, avoiding low-liquidity periods.
All open trades are closed at 15:55 EST, to avoid overnight risk or expiration issues for options.
⚙️ Built-in Presets:
You can choose one of the built-in ticker-specific presets for optimal conditions:
Ticker EMAs RSI (Long/Short) ATR SL×ATR TP/SL
SPY 8/28 56 / 26 14 1.4× 4.0×
TSLA 23/27 56 / 33 13 1.4× 3.6×
AAPL 6/13 61 / 26 23 1.4× 2.1×
MSFT 25/32 54 / 26 14 1.2× 2.2×
META 25/32 53 / 26 17 1.8× 2.3×
AMZN 28/32 55 / 25 16 1.8× 2.3×
You can also choose "Custom" to fully configure all parameters to your own market and strategy preferences.
📌 Best Use Case:
This strategy is especially suited for intraday options trading, where timing and risk control are critical. It works best on liquid tickers with strong trends or clear breakout behavior.
RAHA Strategy with Dynamic TP/SL + Volatility Filter
RAHA Indicator
RAHA – Roni's Adjusted Hybrid Average is a unique average that neutralizes outliers from a price series, in order to provide a more reliable and stable picture of the market trend.
💡 What makes it unique?
Unlike a regular average (like SMA), the RAHA indicator calculates the average only based on "normal" prices – while statistically filtering out outliers.
📈 Main uses:
Identifying a smooth trend over time
Reducing problematic market noise
Basis for smart trading strategies
RAHA Strategy – Roni's Adjusted Hybrid Average
The RAHA strategy is based on a smart average (RAHA – Roni's Adjusted Hybrid Average), which channels outliers from the historical price to create a more stable trend indication. It combines:
Average crossing – short SMA (10 days) versus long RAHA (20 days).
Strict filters – such as a positive RAHA slope, a positive market trend according to a 60-day moving average, and a monthly RSI rising or above 70.
Smart entry – only when there is high volatility (a significant gap between RAHA and SMA) or a green candle below the Bollinger band.
Dynamic stop – below the low of a descending candle sequence.
Profit target – set at 3 times the stop, but a trade is not closed at the TP but only according to additional specified conditions.
Smart exit conditions – such as a downward crossing of the SMA or breaking a previous low.
Multiple trade filtering – a time difference of at least 10 candles between trades.
The strategy aims to target trades only during times of a clear trend and high volatility, while reducing sensitivity to market noise and false trades.
אינדיקטור RAHA
RAHA – Roni's Adjusted Hybrid Average הוא ממוצע ייחודי שמנטרל ערכים חריגים מתוך סדרת מחירים (Outliers), במטרה לספק תמונה אמינה ויציבה יותר של מגמת השוק.
💡 מה מייחד אותו?
בניגוד לממוצע רגיל (כמו SMA), אינדיקטור RAHA מחשב את הממוצע רק על בסיס המחירים "הנורמליים" – תוך סינון סטטיסטי של חריגים.
📈 שימושים עיקריים:
זיהוי מגמה חלקה לאורך זמן
הפחתת רעשי שוק בעייתיים
בסיס לאסטרטגיות מסחר חכמות
אסטרטגיית RAHA – Roni's Adjusted Hybrid Average
אסטרטגיית RAHA מבוססת על ממוצע חכם (RAHA – Roni's Adjusted Hybrid Average), אשר מתעל ערכים חריגים מהמחיר ההיסטורי ליצירת אינדיקציה יציבה יותר למגמה. היא משלבת בין:
חציית ממוצעים – SMA קצר (10 ימים) לעומת RAHA ארוך (20 ימים).
פילטרים מחמירים – כמו שיפוע RAHA חיובי, מגמת שוק חיובית לפי ממוצע נע של 60 יום, ו‑RSI חודשי עולה או מעל 70.
כניסה חכמה – רק כאשר יש תנודתיות גבוהה (פער משמעותי בין RAHA ל‑SMA) או נר ירוק מתחת לרצועת בולינגר.
סטופ דינמי – מתחת לנמוך של רצף נרות יורדים.
יעד רווח – מוגדר לפי פי 3 מהסטופ, אך עסקה לא נסגרת ב‑TP אלא רק לפי תנאים נוספים שנקבעו.
תנאי יציאה חכמים – כמו חצייה כלפי מטה של SMA או שבירת שפל קודם.
סינון עסקאות מרובות – הפרש זמן של 10 נרות לפחות בין עסקאות.
האסטרטגיה שואפת למקד עסקאות רק בזמנים של מגמה מובהקת ותנודתיות גבוהה, תוך הפחתת רגישות לרעש שוק ועסקאות שווא.
RFM Strategy - High QualityI trade high-probability resistance fades using a systematic 4-pillar approach that has delivered a proven 60%+ win rate with 2.5+ profit factor."
📊 Core Strategy Elements:
1. VRF Resistance Identification:
Multiple resistance level confluence (minimum 2 levels)
Dynamic resistance zones using 20-period high/low ranges
Only trade when price approaches clustered resistance
2. Volume Weakness Confirmation:
Volume ROC must be ≤ -30% (weak buying pressure)
Identifies exhaustion rallies with poor participation
Confirms institutional selling vs retail buying
3. Momentum Divergence:
SMI ≥ 60 (extreme overbought) OR 25-point momentum collapse
Multi-timeframe confirmation for higher reliability
Catches momentum exhaustion at key levels
4. Price Rejection Patterns:
Long upper wicks (2x body size) at resistance
Doji formations showing indecision
Failed breakout patterns with immediate rejection
⚡ Execution:
Entry: Only when ALL 4 conditions align simultaneously
Risk Management: 6-point stops, 12-point targets (2:1 R/R minimum)
Timeframe: 5-minute charts for precise entries
Selectivity: Quality over quantity - average 5 trades per period
🏆 Performance:
60% win rate (matches manual trading performance)
2.59 Profit Factor (highly profitable)
Systematic approach eliminates emotional decisions
"This strategy automates the discretionary resistance fade setups that institutional traders use, with strict filters ensuring only the highest-probability opportunities."
The Barking Rat Reversions - SOLUSDT (Published)🚀 The Barking Rat - Reversal Strategy
Trade crypto reversals on the 1-minute SOLUSDT chart using smart, multi-layered mechanics. This advanced script combines Fair Value Gap (FVG) detection, EMA boundaries, Support & Resistance zones, and RSI filtering to pinpoint high-quality reversal trades.
⚙️ What makes it powerful?
Data-driven reversal strategy built on almost 10 confluences — it only triggers entries when the most robust conditions align.
Clean entry & exit labels plotted directly on your chart so you can follow along easily.
Push alerts for entries and exits (just add them on TradingView — the logic is fully embedded).
Specially tuned for SOLUSDT on the 1-minute chart, tested live across 15+ months of data since early 2024.
📈 Backtested results on SOLUSDT over 15 months
✅ ~82.11% win rate
✅ Profit factor: 3.10 over 313 trades
✅ ~20+ trades per month
(See the backtest screenshot for a clear picture of performance.)
imgur.com
⚠️ A few important notes
This is an advanced script — it may have fewer trades some months and more in others. That’s intentional: it’s designed to wait patiently for the best setups.
Markets change every month, so past results aren’t guarantees. Use this tool to improve your decision-making, but always apply your own risk management.
For educational purposes only — not financial advice.
🔔 How to enable alerts
Once the script is added to your chart, simply create your TradingView alerts as usual. The script already has all alert logic built-in for clean notifications.
📨 How to get access
This is an invite-only script.
👉 Contact us directly on TradingView or email thebarkingrat@gmail.com to get access.
Malamal WeeklyThis Pine Script implements a weekly breakout trading strategy called "Malamal Weekly" designed for TradingView. It combines multiple technical indicators to identify high-potential entries and applies a dynamic trailing stop-loss system to protect gains.
🔍 Core Strategy Logic
Entry Condition: A long (buy) position is initiated when:
Weekly close meet the various technical conditions.
Stop-Loss Calculation: The stop-loss is dynamically set as the highest value among:
three different technical indicator value
🧠 Key Features
Uses Weekly Timeframe all technical indicator, and close price.
Trailing Stop-Loss updates every bar to lock in profits.
Dashboard Display shows Buy Price, Profit %, CAGR, and Trailing SL at the bottom-right of the chart.
Clean Plotting of Buy & SL levels for visual clarity.
💡 Purpose
This strategy helps position traders identify strong weekly breakouts and manage risk with smart trailing exits, aiming for multi-bagger potential.
Liquidity Sweep Strategy v2 - Fixed Close LabelsThe Liquidity Sweep Strategy v2 is designed to detect stop-loss hunting behavior, commonly seen in institutional trading. It capitalizes on false breakouts beyond recent swing highs or lows (liquidity zones), which are followed by sharp reversals.
This strategy is particularly effective during high-volume liquidity grabs when markets trigger stop-loss clusters and then reverse direction — a phenomenon often referred to as a liquidity sweep or stop hunt
KST Strategy [Skyrexio]Overview
KST Strategy leverages Know Sure Thing (KST) indicator in conjunction with the Williams Alligator and Moving average to obtain the high probability setups. KST is used for for having the high probability to enter in the direction of a current trend when momentum is rising, Alligator is used as a short term trend filter, while Moving average approximates the long term trend and allows trades only in its direction. Also strategy has the additional optional filter on Choppiness Index which does not allow trades if market is choppy, above the user-specified threshold. Strategy has the user specified take profit and stop-loss numbers, but multiplied by Average True Range (ATR) value on the moment when trade is open. The strategy opens only long trades.
Unique Features
ATR based stop-loss and take profit. Instead of fixed take profit and stop-loss percentage strategy utilizes user chosen numbers multiplied by ATR for its calculation.
Configurable Trading Periods. Users can tailor the strategy to specific market windows, adapting to different market conditions.
Optional Choppiness Index filter. Strategy allows to choose if it will use the filter trades with Choppiness Index and set up its threshold.
Methodology
The strategy opens long trade when the following price met the conditions:
Close price is above the Alligator's jaw line
Close price is above the filtering Moving average
KST line of Know Sure Thing indicator shall cross over its signal line (details in justification of methodology)
If the Choppiness Index filter is enabled its value shall be less than user defined threshold
When the long trade is executed algorithm defines the stop-loss level as the low minus user defined number, multiplied by ATR at the trade open candle. Also it defines take profit with close price plus user defined number, multiplied by ATR at the trade open candle. While trade is in progress, if high price on any candle above the calculated take profit level or low price is below the calculated stop loss level, trade is closed.
Strategy settings
In the inputs window user can setup the following strategy settings:
ATR Stop Loss (by default = 1.5, number of ATRs to calculate stop-loss level)
ATR Take Profit (by default = 3.5, number of ATRs to calculate take profit level)
Filter MA Type (by default = Least Squares MA, type of moving average which is used for filter MA)
Filter MA Length (by default = 200, length for filter MA calculation)
Enable Choppiness Index Filter (by default = true, setting to choose the optional filtering using Choppiness index)
Choppiness Index Threshold (by default = 50, Choppiness Index threshold, its value shall be below it to allow trades execution)
Choppiness Index Length (by default = 14, length used in Choppiness index calculation)
KST ROC Length #1 (by default = 10, value used in KST indicator calculation, more information in Justification of Methodology)
KST ROC Length #2 (by default = 15, value used in KST indicator calculation, more information in Justification of Methodology)
KST ROC Length #3 (by default = 20, value used in KST indicator calculation, more information in Justification of Methodology)
KST ROC Length #4 (by default = 30, value used in KST indicator calculation, more information in Justification of Methodology)
KST SMA Length #1 (by default = 10, value used in KST indicator calculation, more information in Justification of Methodology)
KST SMA Length #2 (by default = 10, value used in KST indicator calculation, more information in Justification of Methodology)
KST SMA Length #3 (by default = 10, value used in KST indicator calculation, more information in Justification of Methodology)
KST SMA Length #4 (by default = 15, value used in KST indicator calculation, more information in Justification of Methodology)
KST Signal Line Length (by default = 10, value used in KST indicator calculation, more information in Justification of Methodology)
User can choose the optimal parameters during backtesting on certain price chart.
Justification of Methodology
Before understanding why this particular combination of indicator has been chosen let's briefly explain what is KST, Williams Alligator, Moving Average, ATR and Choppiness Index.
The KST (Know Sure Thing) is a momentum oscillator developed by Martin Pring. It combines multiple Rate of Change (ROC) values, smoothed over different timeframes, to identify trend direction and momentum strength. First of all, what is ROC? ROC (Rate of Change) is a momentum indicator that measures the percentage change in price between the current price and the price a set number of periods ago.
ROC = 100 * (Current Price - Price N Periods Ago) / Price N Periods Ago
In our case N is the KST ROC Length inputs from settings, here we will calculate 4 different ROCs to obtain KST value:
KST = ROC1_smooth × 1 + ROC2_smooth × 2 + ROC3_smooth × 3 + ROC4_smooth × 4
ROC1 = ROC(close, KST ROC Length #1), smoothed by KST SMA Length #1,
ROC2 = ROC(close, KST ROC Length #2), smoothed by KST SMA Length #2,
ROC3 = ROC(close, KST ROC Length #3), smoothed by KST SMA Length #3,
ROC4 = ROC(close, KST ROC Length #4), smoothed by KST SMA Length #4
Also for this indicator the signal line is calculated:
Signal = SMA(KST, KST Signal Line Length)
When the KST line rises, it indicates increasing momentum and suggests that an upward trend may be developing. Conversely, when the KST line declines, it reflects weakening momentum and a potential downward trend. A crossover of the KST line above its signal line is considered a buy signal, while a crossover below the signal line is viewed as a sell signal. If the KST stays above zero, it indicates overall bullish momentum; if it remains below zero, it points to bearish momentum. The KST indicator smooths momentum across multiple timeframes, helping to reduce noise and provide clearer signals for medium- to long-term trends.
Next, let’s discuss the short-term trend filter, which combines the Williams Alligator and Williams Fractals. Williams Alligator
Developed by Bill Williams, the Alligator is a technical indicator that identifies trends and potential market reversals. It consists of three smoothed moving averages:
Jaw (Blue Line): The slowest of the three, based on a 13-period smoothed moving average shifted 8 bars ahead.
Teeth (Red Line): The medium-speed line, derived from an 8-period smoothed moving average shifted 5 bars forward.
Lips (Green Line): The fastest line, calculated using a 5-period smoothed moving average shifted 3 bars forward.
When the lines diverge and align in order, the "Alligator" is "awake," signaling a strong trend. When the lines overlap or intertwine, the "Alligator" is "asleep," indicating a range-bound or sideways market. This indicator helps traders determine when to enter or avoid trades.
The next indicator is Moving Average. It has a lot of different types which can be chosen to filter trades and the Least Squares MA is used by default settings. Let's briefly explain what is it.
The Least Squares Moving Average (LSMA) — also known as Linear Regression Moving Average — is a trend-following indicator that uses the least squares method to fit a straight line to the price data over a given period, then plots the value of that line at the most recent point. It draws the best-fitting straight line through the past N prices (using linear regression), and then takes the endpoint of that line as the value of the moving average for that bar. The LSMA aims to reduce lag and highlight the current trend more accurately than traditional moving averages like SMA or EMA.
Key Features:
It reacts faster to price changes than most moving averages.
It is smoother and less noisy than short-term EMAs.
It can be used to identify trend direction, momentum, and potential reversal points.
ATR (Average True Range) is a volatility indicator that measures how much an asset typically moves during a given period. It was introduced by J. Welles Wilder and is widely used to assess market volatility, not direction.
To calculate it first of all we need to get True Range (TR), this is the greatest value among:
High - Low
abs(High - Previous Close)
abs(Low - Previous Close)
ATR = MA(TR, n) , where n is number of periods for moving average, in our case equals 14.
ATR shows how much an asset moves on average per candle/bar. A higher ATR means more volatility; a lower ATR means a calmer market.
The Choppiness Index is a technical indicator that quantifies whether the market is trending or choppy (sideways). It doesn't indicate trend direction — only the strength or weakness of a trend. Higher Choppiness Index usually approximates the sideways market, while its low value tells us that there is a high probability of a trend.
Choppiness Index = 100 × log10(ΣATR(n) / (MaxHigh(n) - MinLow(n))) / log10(n)
where:
ΣATR(n) = sum of the Average True Range over n periods
MaxHigh(n) = highest high over n periods
MinLow(n) = lowest low over n periods
log10 = base-10 logarithm
Now let's understand how these indicators work in conjunction and why they were chosen for this strategy. KST indicator approximates current momentum, when it is rising and KST line crosses over the signal line there is high probability that short term trend is reversing to the upside and strategy allows to take part in this potential move. Alligator's jaw (blue) line is used as an approximation of a short term trend, taking trades only above it we want to avoid trading against trend to increase probability that long trade is going to be winning.
Almost the same for Moving Average, but it approximates the long term trend, this is just the additional filter. If we trade in the direction of the long term trend we increase probability that higher risk to reward trade will hit the take profit. Choppiness index is the optional filter, but if it turned on it is used for approximating if now market is in sideways or in trend. On the range bounded market the potential moves are restricted. We want to decrease probability opening trades in such condition avoiding trades if this index is above threshold value.
When trade is open script sets the stop loss and take profit targets. ATR approximates the current volatility, so we can make a decision when to exit a trade based on current market condition, it can increase the probability that strategy will avoid the excessive stop loss hits, but anyway user can setup how many ATRs to use as a stop loss and take profit target. As was said in the Methodology stop loss level is obtained by subtracting number of ATRs from trade opening candle low, while take profit by adding to this candle's close.
Backtest Results
Operating window: Date range of backtests is 2023.01.01 - 2025.05.01. It is chosen to let the strategy to close all opened positions.
Commission and Slippage: Includes a standard Binance commission of 0.1% and accounts for possible slippage over 5 ticks.
Initial capital: 10000 USDT
Percent of capital used in every trade: 60%
Maximum Single Position Loss: -5.53%
Maximum Single Profit: +8.35%
Net Profit: +5175.20 USDT (+51.75%)
Total Trades: 120 (56.67% win rate)
Profit Factor: 1.747
Maximum Accumulated Loss: 1039.89 USDT (-9.1%)
Average Profit per Trade: 43.13 USDT (+0.6%)
Average Trade Duration: 27 hours
These results are obtained with realistic parameters representing trading conditions observed at major exchanges such as Binance and with realistic trading portfolio usage parameters.
How to Use
Add the script to favorites for easy access.
Apply to the desired timeframe and chart (optimal performance observed on 1h BTC/USDT).
Configure settings using the dropdown choice list in the built-in menu.
Set up alerts to automate strategy positions through web hook with the text: {{strategy.order.alert_message}}
Disclaimer:
Educational and informational tool reflecting Skyrexio commitment to informed trading. Past performance does not guarantee future results. Test strategies in a simulated environment before live implementation.
Ticker Pulse Meter + Fear EKG StrategyDescription
The Ticker Pulse Meter + Fear EKG Strategy is a technical analysis tool designed to identify potential entry and exit points for long positions based on price action relative to historical ranges. It combines two proprietary indicators: the Ticker Pulse Meter (TPM), which measures price positioning within short- and long-term ranges, and the Fear EKG, a VIX-inspired oscillator that detects extreme market conditions. The strategy is non-repainting, ensuring signals are generated only on confirmed bars to avoid false positives. Visual enhancements, such as optional moving averages and Bollinger Bands, provide additional context but are not core to the strategy's logic. This script is suitable for traders seeking a systematic approach to capturing momentum and mean-reversion opportunities.
How It Works
The strategy evaluates price action using two key metrics:
Ticker Pulse Meter (TPM): Measures the current price's position within short- and long-term price ranges to identify momentum or overextension.
Fear EKG: Detects extreme selling pressure (akin to "irrational selling") by analyzing price behavior relative to historical lows, inspired by volatility-based oscillators.
Entry signals are generated when specific conditions align, indicating potential buying opportunities. Exits are triggered based on predefined thresholds or partial position closures to manage risk. The strategy supports customizable lookback periods, thresholds, and exit percentages, allowing flexibility across different markets and timeframes. Visual cues, such as entry/exit dots and a position table, enhance usability, while optional overlays like moving averages and Bollinger Bands provide additional chart context.
Calculation Overview
Price Range Calculations:
Short-Term Range: Uses the lowest low (min_price_short) and highest high (max_price_short) over a user-defined short lookback period (lookback_short, default 50 bars).
Long-Term Range: Uses the lowest low (min_price_long) and highest high (max_price_long) over a user-defined long lookback period (lookback_long, default 200 bars).
Percentage Metrics:
pct_above_short: Percentage of the current close above the short-term range.
pct_above_long: Percentage of the current close above the long-term range.
Combined metrics (pct_above_long_above_short, pct_below_long_below_short) normalize price action for signal generation.
Signal Generation:
Long Entry (TPM): Triggered when pct_above_long_above_short crosses above a user-defined threshold (entryThresholdhigh, default 20) and pct_below_long_below_short is below a low threshold (entryThresholdlow, default 40).
Long Entry (Fear EKG): Triggered when pct_below_long_below_short crosses under an extreme threshold (orangeEntryThreshold, default 95), indicating potential oversold conditions.
Long Exit: Triggered when pct_above_long_above_short crosses under a profit-taking level (profitTake, default 95). Partial exits are supported via a user-defined percentage (exitAmt, default 50%).
Non-Repainting Logic: Signals are calculated using data from the previous bar ( ) and only plotted on confirmed bars (barstate.isconfirmed), ensuring reliability.
Visual Enhancements:
Optional moving averages (SMA, EMA, WMA, VWMA, or SMMA) and Bollinger Bands can be enabled for trend context.
A position table displays real-time metrics, including open positions, Fear EKG, and Ticker Pulse values.
Background highlights mark periods of high selling pressure.
Entry Rules
Long Entry:
TPM Signal: Occurs when the price shows strength relative to both short- and long-term ranges, as defined by pct_above_long_above_short crossing above entryThresholdhigh and pct_below_long_below_short below entryThresholdlow.
Fear EKG Signal: Triggered by extreme selling pressure, when pct_below_long_below_short crosses under orangeEntryThreshold. This signal is optional and can be toggled via enable_yellow_signals.
Entries are executed only on confirmed bars to prevent repainting.
Exit Rules
Long Exit: Triggered when pct_above_long_above_short crosses under profitTake.
Partial exits are supported, with the strategy closing a user-defined percentage of the position (exitAmt) up to four times per position (exit_count limit).
Exits can be disabled or adjusted via enable_short_signal and exitPercentage settings.
Inputs
Backtest Start Date: Defines the start of the backtesting period (default: Jan 1, 2017).
Lookback Periods: Short (lookback_short, default 50) and long (lookback_long, default 200) periods for range calculations.
Resolution: Timeframe for price data (default: Daily).
Entry/Exit Thresholds:
entryThresholdhigh (default 20): Threshold for TPM entry.
entryThresholdlow (default 40): Secondary condition for TPM entry.
orangeEntryThreshold (default 95): Threshold for Fear EKG entry.
profitTake (default 95): Exit threshold.
exitAmt (default 50%): Percentage of position to exit.
Visual Options: Toggle for moving averages and Bollinger Bands, with customizable types and lengths.
Notes
The strategy is designed to work across various timeframes and assets, with data sourced from user-selected resolutions (i_res).
Alerts are included for long entry and exit signals, facilitating integration with TradingView's alert system.
The script avoids repainting by using confirmed bar data and shifted calculations ( ).
Visual elements (e.g., SMA, Bollinger Bands) are inspired by standard Pine Script practices and are optional, not integral to the core logic.
Usage
Apply the script to a chart, adjust input settings to suit your trading style, and use the visual cues (entry/exit dots, position table) to monitor signals. Enable alerts for real-time notifications.
Designed to work best on Daily timeframe.
