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.
指標和策略
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.
Holy GrailThis is a long-only educational strategy that simulates what happens if you keep adding to a position during pullbacks and only exit when the asset hits a new All-Time High (ATH). It is intended for learning purposes only — not for live trading.
🧠 How it works:
The strategy identifies pullbacks using a simple moving average (MA).
When price dips below the MA, it begins monitoring for the first green candle (close > open).
That green candle signals a potential bottom, so it adds to the position.
If price goes lower, it waits for the next green candle and adds again.
The exit happens after ATH — it sells on each red candle (close < open) once a new ATH is reached.
You can adjust:
MA length (defines what’s considered a pullback)
Initial buy % (how much to pre-fill before signals start)
Buy % per signal (after pullback green candle)
Exit % per red candle after ATH
📊 Intended assets & timeframes:
This strategy is designed for broad market indices and long-term appreciating assets, such as:
SPY, NASDAQ, DAX, FTSE
Use it only on 1D or higher timeframes — it’s not meant for scalping or short-term trading.
⚠️ Important Limitations:
Long-only: The script does not short. It assumes the asset will eventually recover to a new ATH.
Not for all assets: It won't work on assets that may never recover (e.g., single stocks or speculative tokens).
Slow capital deployment: Entries happen gradually and may take a long time to close.
Not optimized for returns: Buy & hold can outperform this strategy.
No slippage, fees, or funding costs included.
This is not a performance strategy. It’s a teaching tool to show that:
High win rate ≠ high profitability
Patience can be deceiving
Many signals = long capital lock-in
🎓 Why it exists:
The purpose of this strategy is to demonstrate market psychology and risk overconfidence. Traders often chase strategies with high win rates without considering holding time, drawdowns, or opportunity cost.
This script helps visualize that phenomenon.
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.
Relative Volume Strategy📈 Relative Volume Strategy by GabrielAmadeusLau
This Pine Script strategy combines volume-based momentum analysis with price action filtering, breakout detection, and dynamic stop-loss/take-profit logic, allowing for highly adaptable long and short entries. It is particularly suited for traders looking to identify reversals or continuation setups based on relative volume spikes and candle behavior.
🧠 Core Concept
At its core, this strategy uses a Relative Volume %R oscillator, comparing the current volume to its historical range using a Williams %R-like calculation. The oscillator is paired with dual moving average filters (Fast & Slow) to identify when volume is expanding or contracting.
Entries are further refined using a configurable price action filter based on the structure of bullish or bearish candles:
Simple: Basic up/down bar
Filtered: Range-based strength confirmation
Aggressive: Momentum-based breakout
Inside: Reversal bar patterns
Combinations of the above can be toggled for both long and short entries.
⚙️ Configurable Features
Trade Direction Control: Choose between Long Only, Short Only, or Both.
Directional Bar Modes: Set different conditions for long and short bar types (Simple, Filtered, Aggressive, Inside).
Breakout Filter: Optional filter to exclude trades near 5-bar highs/lows to avoid poor R/R trades.
Stop Loss & Take Profit System:
ATR-based dynamic SL/TP.
Configurable multipliers for both SL and TP.
Timed Exit: Optional bar-based exit after a fixed number of candles.
Custom Volume MA Smoothing: Choose from various smoothing algorithms (SMA, EMA, JMA, T3, Super Smoother, etc.) for both fast and slow volume trends.
Relative Volume Threshold: Minimum %R level for trade filtering.
📊 Technical Indicators Used
Relative Volume %R: A modified version of Williams %R, calculated on volume.
Dual Volume MAs: Fast and Slow MAs for volume trends using user-selected smoothing.
ATR: Average True Range for dynamic SL/TP calculation.
Breakout High/Low: 5-bar breakout thresholds to avoid late entries.
🚀 Trade Logic
Long Entry:
Volume > Fast MA > Slow MA
Relative Volume %R > Threshold
Price passes long directional filter
Optional: below recent breakout high
Short Entry:
Volume < Fast MA < Slow MA
Relative Volume %R < 100 - Threshold
Price passes short directional filter
Optional: above recent breakout low
Exits:
After N bars (configurable)
ATR-based Stop Loss / Take Profit if enabled
📈 Visualization
Orange Columns: Relative Volume %R
Green Line: Fast Volume MA
Red Line: Slow Volume MA
💡 Use Case
Ideal for:
Reversal traders catching capitulation or accumulation spikes
Momentum traders looking for volume-confirmed trends
Quantitative strategy developers wanting modular MA and price action filter logic
Intraday scalpers or swing traders using relative volume dynamics
Created by: GabrielAmadeusLau
License: Mozilla Public License 2.0
🔗 mozilla.org
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"
OBV Osc (No Same-Bar Exit)//@version=5
strategy("OBV Osc (No Same-Bar Exit)", overlay=true, default_qty_type=strategy.percent_of_equity, default_qty_value=100)
// === JSON ALERT STRINGS ===
callBuyJSON = 'ANSHUL '
callExtJSON = 'ANSHUL '
putBuyJSON = 'ANSHUL '
putExtJSON = 'ANSHUL '
// === INPUTS ===
length = input.int(20, title="OBV EMA Length")
sl_pct = input.float(1.0, title="Stop Loss %", minval=0.1)
tp_pct = input.float(2.0, title="Take Profit %", minval=0.1)
trail_pct = input.float(0.5, title="Trailing Stop %", minval=0.1)
// === OBV OSCILLATOR CALC ===
src = close
obv = ta.cum(ta.change(src) > 0 ? volume : ta.change(src) < 0 ? -volume : 0)
obv_ema = ta.ema(obv, length)
obv_osc = obv - obv_ema
// === SIGNALS ===
longCondition = ta.crossover(obv_osc, 0) and strategy.position_size == 0
shortCondition = ta.crossunder(obv_osc, 0) and strategy.position_size == 0
// === RISK SETTINGS ===
longStop = close * (1 - sl_pct / 100)
longTarget = close * (1 + tp_pct / 100)
shortStop = close * (1 + sl_pct / 100)
shortTarget = close * (1 - tp_pct / 100)
trailPoints = close * trail_pct / 100
// === ENTRY BAR TRACKING TO PREVENT SAME-BAR EXIT ===
var int entryBar = na
// === STRATEGY ENTRY ===
if longCondition
strategy.entry("Long", strategy.long)
entryBar := bar_index
alert(callBuyJSON, alert.freq_all)
label.new(bar_index, low, text="BUY CALL", style=label.style_label_up, color=color.new(color.green, 85), textcolor=color.black)
if shortCondition
strategy.entry("Short", strategy.short)
entryBar := bar_index
alert(putBuyJSON, alert.freq_all)
label.new(bar_index, high, text="BUY PUT", style=label.style_label_down, color=color.new(color.red, 85), textcolor=color.black)
// === EXIT ONLY IF BAR_INDEX > entryBar (NO SAME-BAR EXIT) ===
canExitLong = strategy.position_size > 0 and bar_index > entryBar
canExitShort = strategy.position_size < 0 and bar_index > entryBar
if canExitLong
strategy.exit("Exit Long", from_entry="Long", stop=longStop, limit=longTarget, trail_points=trailPoints, trail_offset=trailPoints)
if canExitShort
strategy.exit("Exit Short", from_entry="Short", stop=shortStop, limit=shortTarget, trail_points=trailPoints, trail_offset=trailPoints)
// === TRACK ENTRY/EXIT FOR ALERTS ===
posNow = strategy.position_size
posPrev = nz(strategy.position_size )
longExit = posPrev == 1 and posNow == 0
shortExit = posPrev == -1 and posNow == 0
if longExit
alert(callExtJSON, alert.freq_all)
label.new(bar_index, high, text="EXIT CALL", style=label.style_label_down, color=color.new(color.blue, 85), textcolor=color.black)
if shortExit
alert(putExtJSON, alert.freq_all)
label.new(bar_index, low, text="EXIT PUT", style=label.style_label_up, color=color.new(color.orange, 85), textcolor=color.black)
// === PLOTS ===
plot(obv_osc, title="OBV Oscillator", color=obv_osc > 0 ? color.green : color.red, linewidth=2)
hline(0, color=color.gray)
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!
Crypto Pulse Strategy ActiveCrypto Pulse Strategy Active
Short-term crypto strategy for 1h-4h charts. Uses RSI, Bollinger Bands, and VWAP to spot buy/sell signals. Buy above VWAP with low BB or RSI < 25; sell below VWAP with high BB or RSI > 75. Risks 1% per trade with 1.5% stop-loss and 1.5x profit. Test on BTC/ETH first!
BTC SmartMoney + SQZMOM + EMA + Cloud + Trailing Stop (v2.5)🚀 BTC 15-Minute Smart Strategy: SmartMoney + SQZMOM + EMA + Trailing Stop
Designed specifically for the fast-paced and volatile crypto market, this strategy is finely tuned to deliver maximum performance on Bitcoin’s 15-minute chart.
🌟 Key Features:
SmartMoney Concepts (SMC) based CHoCH signals to detect market structure shifts and capture early trend reversals.
SQZMOM (Squeeze Momentum Oscillator) to gauge strong volatility and momentum confluence.
50 & 200 EMA Cloud combining short-term and long-term trend filters for reliable market direction.
ATR-based and manually adjustable Trailing Stop for flexible and automated risk management.
Scientifically optimized Take Profit and Stop Loss levels to minimize losses and maximize gains.
Clear exit labels on chart for real-time trade tracking and decision making.
🔥 Why Choose This Strategy?
Provides fast and reliable signals on 15-minute timeframe, protecting you against sudden market moves.
Maximizes profits with trailing stops while keeping risks controlled.
Built on professional financial models, ideal for both beginners and experienced traders.
📈 How to Use
Easily deploy on TradingView with flexible parameters that adjust to your trading style. Automates entry and exit decisions based on real-time market conditions.
A powerful companion for traders who want a reliable yet aggressive approach to BTC trading on the 15-minute timeframe.
ZYTX CCI SuperTrendZYTX CCI SuperTrend
The definitive integration of CCI and SuperTrend trend-following indicators, delivering exemplary performance in automated trading bots.
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!
MACD + MA 2-Min Binary Options Strategy (Strategy Mode)📈 "MACD + MA Crossover Momentum Strategy" (2-Minute Expiry)
✅ Objective:
Catch short-term momentum in the direction of the trend confirmed by MACD crossover and MA alignment.
🧰 Strategy Setup
🕒 Chart Timeframe:
15-second or 30-second candles
(2-minute expiry = 4–8 candles ahead)
📊 Indicators:
EMA 5 (fast)
EMA 13 (slow)
MACD (12, 26, 9) – Standard settings
(Optional): Support/Resistance zones (manual or indicator)
🟩 Call (Buy) Conditions:
EMA 5 crosses above EMA 13
MACD Line crosses above the Signal Line (MACD crossover happens after or at the same time as EMA cross)
MACD histogram is increasing (momentum rising)
Price is above both EMAs, confirming trend strength
No major resistance or news in the next 2 minutes
🟨 Enter on the close of the confirmation candle. Set expiry: 2 minutes from entry.
🟥 Put (Sell) Conditions:
EMA 5 crosses below EMA 13
MACD Line crosses below Signal Line
MACD histogram is decreasing
Price is below both EMAs
No support zone or news in next 2 minutes
✅ Additional Entry Filters
Only trade in the direction of the higher timeframe trend (check 5-minute chart to confirm)
Avoid trading during low volume (e.g., lunch hours, between sessions)
Avoid entry right after a MACD crossover has been running for several candles (too late)
Use price action candles to confirm (e.g., engulfing, strong momentum bars)
🧠 Example Workflow (Call Trade):
You're watching GBP/USD on 30-sec candles.
EMA 5 just crosses above EMA 13.
MACD line crosses above signal, histogram increases.
Price is above both EMAs, showing strength.
Candle closes strong bullish.
➡️ Enter CALL with 2-minute expiry.
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.
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.
ZYTX SuperTrend V1ZYTX SuperTrend V1 Indicator
Multi-strategy intelligent rebalancing with >95% win rate
Enables 24/7 automated trading
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.
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.
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**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
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.
Micropulse Crypto Reversal – 1 Minute📛 Micropulse Crypto Reversal – 1 Minute
📘 Strategy Description:
Micropulse Reversal is a specialized scalping strategy designed for 1-minute cryptocurrency charts such as BTC/USDT and ETH/USDT. It captures fast reversal opportunities with a scientifically guided combination of price action, volume dynamics, and volatility filtering.
🎯 Core Features:
Hybrid use of RSI, Bollinger Bands, Hull Moving Average, and OBV
Scoring system ensures only strong, high-confidence signals trigger trades
ATR filter blocks signals in low-volatility (choppy) conditions
Supports both long and short entries, with automatic position reversal logic
Optimized parameters are fixed and not user-editable (fully locked)
⚙️ Hardcoded Parameters:
RSI Length: 9, Oversold: 40, Overbought: 60
Bollinger Bands: 20 / 2.0
Hull MA: 13, OBV short/long: 3 / 8
ATR Filter: > 0.1% of price
Take Profit: +0.8%, Stop Loss: -0.6%
Minimum Signal Score to Enter: 4 / 5
📈 Ideal Use:
BTC, ETH, and other major crypto pairs with high volume
Timeframe: 1-minute
Fast-entry, fast-exit trades
Works well for bot integration, signal alerts, or manual scalping
⚠️ Risk Disclaimer:
This strategy is optimized for past data and short-term momentum conditions. Past performance does not guarantee future results.
Always validate on forward data and use proper risk management before live deployment.