Ichimoku Cloud Buy & Custom EMA Exit [With Volume and Filters]1BUY STRATEGY USING ICHIMOKU CLOUD, Ichimoku Cloud Buy with good risk reward ratio
Indicators and strategies
Fusion Trend Pulse V2SCRIPT TITLE
Adaptive Fusion Trend Pulse V2 - Multi-Regime Strategy
DETAILED DESCRIPTION FOR PUBLICATION
🚀 INNOVATION SUMMARY
The Adaptive Fusion Trend Pulse V2 represents a breakthrough in algorithmic trading by introducing real-time market regime detection that automatically adapts strategy parameters based on current market conditions. Unlike static indicator combinations, this system dynamically adjusts its behavior across trending, choppy, and volatile market environments, providing a sophisticated multi-layered approach to market analysis.
🎯 CORE INNOVATIONS JUSTIFYING PROTECTED STATUS
1. Adaptive Market Regime Engine
Trending Market Detection: Uses ADX >25 with directional movement analysis
Volatile Market Classification: ATR-based volatility regime scoring (>1.2 threshold)
Choppy Market Identification: ADX <20 combined with volatility patterns
Dynamic Parameter Adjustment: All thresholds adapt based on detected regime
2. Multi-Component Fusion Algorithm
McGinley Dynamic Trend Baseline: Self-adjusting moving average that adapts to price velocity
Adaptive RMI (Relative Momentum Index): Enhanced RSI with momentum period adaptation
Zero-Lag EMA Smoothed CCI: Custom implementation reducing lag while maintaining signal quality
Hull MA Gradient Analysis: Slope strength normalized by ATR for trend confirmation
Volume Spike Detection: Regime-adjusted volume confirmation (0.8x-1.3x multipliers)
3. Intelligence Layer Features
Cooldown System: Prevents overtrading with regime-specific waiting periods (1-3 bars)
Performance Tracking: Real-time adaptation based on recent trade outcomes
Multi-Exchange Alert Integration: JSON-formatted alerts for automated trading
Comprehensive Dashboard: 16-metric real-time performance monitoring
📊 TECHNICAL SPECIFICATIONS
Market Regime Detection Philosophy:
The system continuously monitors market structure through volatility analysis and directional strength measurements. Rather than applying fixed thresholds, it creates dynamic response profiles that adjust the strategy's sensitivity, timing, and filtering based on the current market environment.
Adaptive Parameter Concept:
All strategy components modify their behavior based on regime classification. Volume requirements become more or less stringent, momentum thresholds shift to match market character, and exit timing adjusts to prevent whipsaws in different market conditions.
Entry Conditions (Both Long/Short):
McGinley trend alignment (close vs trend line)
Hull MA slope confirmation with ATR-normalized strength
Adaptive CCI above/below regime-specific thresholds
RMI momentum confirmation (>50 for long, <50 for short)
Volume spike exceeding regime-adjusted threshold
Regime-specific additional filters
Exit Strategy:
Dual take-profit system (2% and 4% default, customizable)
Momentum weakness detection (CCI reversal)
Trend breakdown (close below/above McGinley line)
Regime-specific urgency multipliers for faster exits in choppy markets
🎛️ USER CUSTOMIZATION OPTIONS
Core Parameters:
RMI Length & Momentum periods
CCI smoothing length
McGinley Dynamic length
Hull MA period for gradient analysis
Volume spike detection (length & multiplier)
Take profit levels (separate for long/short)
Adaptive Settings:
Market regime detection period (21 bars default)
Adaptation period for performance tracking (60 bars)
Volatility adaptation toggle
Trend strength filtering toggle
Momentum sensitivity multiplier (0.5-2.0 range)
Dashboard & Alerts:
Dashboard position (4 corners)
Dashboard size (Small/Normal/Large)
Transparency settings (0-100%)
Custom alert messages for bot integration
Date range filtering
🏆 UNIQUE VALUE PROPOSITIONS
1. Market Intelligence: First Pine Script strategy to implement comprehensive regime detection with parameter adaptation - most strategies use static settings regardless of market conditions.
2. Fusion Methodology: Combines 5+ distinct technical approaches (trend-following, momentum, volatility, volume, regime analysis) in a cohesive adaptive framework rather than simple indicator stacking.
3. Performance Optimization: Built-in learning system tracks recent performance and adjusts sensitivity - providing evolution rather than static rule-following.
4. Professional Integration: Enterprise-ready with JSON alert formatting, multi-exchange compatibility, and comprehensive performance tracking suitable for institutional use.
5. Visual Intelligence: Advanced dashboard provides 16 real-time metrics including regime classification, signal strength, and performance analytics - far beyond basic P&L displays.
🔧 TECHNICAL IMPLEMENTATION HIGHLIGHTS
Primary Applications:
Swing Trading: 4H-1D timeframes with regime-adapted entries
Algorithmic Trading: Automated execution via webhook alerts
Portfolio Management: Multi-timeframe analysis across different market conditions
Risk Management: Regime-aware position sizing and exit timing
Target Markets:
Cryptocurrency pairs (high volatility adaptation)
Forex majors (trending market optimization)
Stock indices (choppy market handling)
Commodities (volatile regime management)
🎯 WHY THIS ISN'T JUST AN INDICATOR MASHUP
Integrated Adaptation Framework: Unlike scripts that simply combine multiple indicators with static settings, this system creates a unified intelligence layer where each component influences and adapts to the others. The McGinley trend baseline doesn't just provide signals - it dynamically adjusts its sensitivity based on market regime detection. The momentum components modify their thresholds based on trend strength analysis.
Feedback Loop Architecture: The strategy incorporates a closed-loop learning system where recent performance influences future parameter selection. This creates evolution rather than static rule application. Most indicator combinations lack this adaptive learning capability.
Contextual Decision Making: Rather than treating each signal independently, the system uses contextual analysis where the same technical setup may generate different responses based on the current market regime. A momentum signal in a trending market triggers different behavior than the identical signal in choppy conditions.
Unified Risk Management: The regime detection doesn't just affect entries - it creates a comprehensive risk framework that adjusts exit timing, cooldown periods, and position management based on market character. This holistic approach distinguishes it from simple indicator stacking.
Custom Implementation Depth: Each component uses proprietary implementations (custom McGinley calculation, zero-lag CCI smoothing, enhanced RMI) rather than standard built-in functions, creating a cohesive algorithmic ecosystem rather than disconnected indicator outputs.
Custom Functions:
mcginley(): Proprietary implementation of McGinley Dynamic MA
rmi(): Enhanced Relative Momentum Index with custom parameters
zlema(): Zero-lag EMA for CCI smoothing
Regime classification algorithms with multi-factor analysis
Performance Optimizations:
Efficient variable management with proper scoping
Minimal repainting through careful historical referencing
Optimized calculations to prevent timeout issues
Memory-efficient tracking systems
Alert System:
JSON-formatted messages for API integration
Dynamic symbol/exchange substitution
Separate entry/exit/TP alert conditions
Customizable message formatting
⚡ WHY THIS REQUIRES PROTECTION
This strategy represents months of research into adaptive trading systems and market regime analysis. The specific combination of:
Proprietary regime detection algorithms
Custom adaptive parameter calculations
Multi-indicator fusion methodology
Performance-based learning system
Professional-grade implementation
Creates intellectual property that provides genuine competitive advantage. The methodology is not available in existing open-source scripts and represents original research into algorithmic trading adaptation.
🎯 EDUCATIONAL VALUE
Users gain exposure to:
Advanced market regime analysis techniques
Adaptive parameter optimization concepts
Multi-timeframe indicator fusion
Professional strategy development practices
Automated trading integration methods
The comprehensive dashboard and parameter explanations serve as a learning tool for understanding how professional algorithms adapt to changing market conditions.
CATEGORY SELECTION
Primary: Strategy
Secondary: Trend Analysis
SUGGESTED TAGS
adaptive, trend, momentum, regime, strategy, alerts, dashboard, mcginley, rmi, cci, professional
MANDATORY DISCLAIMER
Disclaimer: This strategy is for educational and informational purposes only. It does not constitute financial advice. Trading cryptocurrencies involves substantial risk, and past performance is not indicative of future results. Always backtest and forward-test before using on a live account. Use at your own risk.
ZYTX SuperTrend V1ZYTX SuperTrend V1 Indicator
Multi-strategy intelligent rebalancing with >95% win rate
Enables 24/7 automated trading
Two-Pole + Volumetric VIDYA StrategyTwo-Pole + Volumetric VIDYA Strategy - by TRADING NOTES, just use the rule described in their video
Brain Premium [ALGO]💡 Brain Premium ALGO
Brainpremium ALGO is a strategy algorithm that analyzes a two-phase regional liquidity structure and only opens positions on price breakouts occurring within these liquidity zones.
This system is developed based on the market experience of manual traders and automatically executes trade decisions using AI-like rules and specific triggers.
💡 Two-Phase Liquidity-Based Entry Strategy
This strategy operates by detecting liquidity sweep zones and confirmed reversal signals:
🔹 Phase 1 – Liquidity Sweep:
Price is expected to sweep areas where equal highs/lows or liquidity clusters exist. These zones are considered potential reversal levels.
🔹 Phase 2 – Confirmed Entry:
After liquidity is swept, entries are triggered only by confirmed reversal signals such as structural breaks, inside bars, or breakouts in the opposite direction.
✅ Entries are triggered only when liquidity and reversal confirmation occur simultaneously.
🎯 This approach targets high-probability, low-risk trades.
⚙️ Key Features
🔍 Dynamic Liquidity Detection — Automatically identifies liquidity zones.
🧩 Modular Entry Options (1–2–3) — Allows opening positions via different strategy paths.
🛡️ Dynamic Stop Loss System — Stop Loss adjusts as price moves favorably.
📈 Advanced Risk Management — Adjustable Take Profit, Stop Loss, leverage, balance, and mode.
🔔 JSON Alert Support — Connects to platforms like BingX via webhook.
🧾 Information Panel — Displays real-time trade data and strategy status.
📊 Backtest & Default Settings
Strategy tests are conducted with realistic and sustainable parameters:
Parameter Value
Trading Balance: $100 (%10 of total wallet)
Leverage: 10x
Stop Loss: 1%
Take Profit Type : High TP (optional: Low and Risky also available)
Entry Option 1 (optional: 2 and 3 also available)
Mode: NORMAL
Commission 0.05%
Dynamic Stop Loss: Enabled
Timeframe: 5 minute
Pair ETH/USDT
Duration: 30 days
🧭 Usage Instructions
Add Brain Premium ALGO to your TradingView chart.
Set position size, leverage, and SL/TP levels from the settings panel.
Select entry option (1, 2, or 3).
Activate backtesting and alert systems to monitor the strategy.
⚠️ Disclaimer
This strategy is not financial advice. Past performance does not guarantee future results. Trade only with capital you can afford to risk and always test thoroughly in a demo environment first.
ICT OTE Strategy Futures PublicICT OTE Strategy
This strategy automates a classic ICT (Inner Circle Trader) setup that aims to enter a trade on a retracement after a confirmed Break of Structure (BOS). It is designed to identify high-probability setups by waiting for the market to show its hand before looking for an entry within a "discount" or "premium" array.
The entire process is automated, from identifying the market structure to managing the trade with a dynamic stop loss.
How It Works
Break of Structure (BOS): The strategy first waits for a strong, validated swing to break a previous, weaker swing high or low. This confirms the market's intended direction.
Identify Retracement Leg: After a BOS, the strategy identifies the most recent price leg that led to the break.
Auto-Fibonacci: It automatically draws a Fibonacci retracement over this leg, from the start of the move (1.0) to the end (0.0).
Trade Entry: A limit order is placed at a user-defined Fibonacci level (defaulting to 0.508), anticipating a price pullback.
After a bullish BOS, it looks to BUY the retracement.
After a bearish BOS, it looks to SELL the retracement.
Risk Management:
Stop Loss is placed at the start of the leg (the 1.0 level).
Take Profit is placed at a user-defined level (defaulting to the 0.0 level).
Includes an option to move the stop loss to break-even after the trade has moved a certain distance in profit.
How to Use
Swing Settings: Adjust the "Entry Swing" and "Validator" strengths to match the volatility and timeframe of the asset you are trading. Higher numbers will result in fewer, more significant setups.
Session Filter: Use the "Trading Sessions" filter to align the strategy with ICT's "killzone" concept, ensuring trades are only taken during high-volume periods like the New York session.
Backtest: Use the Strategy Tester to optimize the "FIB Entry Level," "Take Profit Level," and "Min Trade Range" to find the best settings for your specific market and timeframe.
Professional ORB Strategy - BUY & Sell signal- Ganesh SelvarayarORB 15 mins strategy buy and sell signal, with point system for your target
🏆 UNMITIGATED LEVELS ACCUMULATIONPDH TO ATH RISK FREE
All the PDL have a buy limit which starts at 0.1 lots which will duplicate at the same time the capital incresases. All of the buy limits have TP in ATH for max reward.
QSS (Quantum Synergy Strategy) Hakim Tung v1.0QSS (Quantum Synergy Strategy) Hakim Tung v.1.0
70% Profitability, 19% downturn tested from 2018-01-01 to 2069-01-01
The Quantum Synergy Strategy (QSS) is a multi-dimensional trading system trend-following strategy designed exclusively for Bitcoin (BTC/USD) on daily charts, focusing on long-only entries during strong uptrends. It combines multiple technical indicators to identify high-probability trend continuations. The strategy employs a fusion of Gaussian channel dynamics, moving average crossovers, momentum oscillators, and statistical probability filters to execute trades only when multiple confirmation layers align.
Core Components
1. Gaussian Channel Engine
2. Trend Confirmation System
* Dual moving average framework (126 SMA / 80 EMA)
* Crossover signals enhanced with price position relative to averages
* Inter-MA fill visualization for trend strength assessment
3. Momentum Validation
* Stochastic RSI with customizable sensitivity
* Williams %R with EMA smoothing for overbought/oversold detection
* Logarithmic Moving Average (LMA) with weighted momentum scoring
4. Probability Gates
* Williams %R priority zone (0 to -20 equivalent to 80-100 traditional)
* LMA signal threshold (0-20 range for optimal entries)
* Requires concurrent activation of both conditions for trade execution
Recommended Settings
100% of equity
Pyramiding: 1
Commission: As per your exchange
Slippage: 1
Margin for Longs: 0%
Margin for Shorts: 0%
SMA Length: 126
EMA Length: 75
This strategy leverages mathematical precision to filter out noise while capturing sustained moves, making it particularly effective in volatile trending markets where conventional indicators fail.
Williams Optimal Gaussian Strategy v1.0 Hakim TungWilliams Optimal Gaussian Strategy v1.0
This is a slow Daily chart Trend-Following System for Crypto Markets
Strategy Concept:
This hybrid strategy combines Larry Williams' %R momentum indicator with Gaussian Channel filtering to identify high-probability trend continuations. The system triggers long positions when:
Price holds above the 75-EMA (trend confirmation)
Williams %R shows bullish momentum (above -25 and its own EMA)
Gaussian Channel turns green (filter rising)
Candles show consecutive closes above the EMA
Optimal Markets: Works best on Bitcoin (BTC/USDT)
Performance Specs:
Commission: 0.1% per trade (simulated)
Trade Speed: Medium-term (holds 2-5 days avg)
Capital Efficiency: 100% position sizing (0% margin)
Key Advantages:
✅ Triple confirmation (Price + Williams + Gaussian)
✅ Reduced whipsaws with EMA-75 baseline
✅ Visual channel alerts for momentum shifts
Backtest Note:
Initial $1,000 simulation shows how small accounts can compound returns while managing risk through the Gaussian Channel's dynamic bands.
safa bot alertGood trading for everying and stuff that very gfood and stuff please let me puibisjertpa 9uihthsi fuckitgn code
TOT Strategy, The ORB Titan (Configurable)This is a strategy script adapted from Deniscr 's indicator script found here:
All feedback welcome!
Linear Mean Reversion Strategy📘 Strategy Introduction: Linear Mean Reversion with Fixed Stop
This strategy implements a simple yet powerful mean reversion model that assumes price tends to oscillate around a dynamic average over time. It identifies statistically significant deviations from the moving average using a z-score, and enters trades expecting a return to the mean.
🧠 Core Logic:
A z-score is calculated by comparing the current price to its moving average, normalized by standard deviation, over a user-defined half-life window.
Trades are entered when the z-score crosses a threshold (e.g., ±1), signaling overbought or oversold conditions.
The strategy exits positions either when price reverts back near the mean (z-score close to 0), or if a fixed stop loss of 100 points is hit, whichever comes first.
⚙️ Key Features:
Dynamic mean and volatility estimation using moving average and standard deviation
Configurable z-score thresholds for entry and exit
Position size scaling based on z-score magnitude
Fixed stop loss to control risk and avoid prolonged drawdowns
🧪 Use Case:
Ideal for range-bound markets or assets that exhibit stationary behavior around a mean, this strategy is especially useful on assets with mean-reverting characteristics like currency pairs, ETFs, or large-cap stocks. It is best suited for traders looking for short-term reversions rather than long-term trends.
Trendlines Filtered v1.0 [Pointalgo]Pointalgo Trendlines Filtered v1.0 — Smart Breakout Strategy for Futures & Options
Overview:
This is a highly adaptive trendline breakout strategy that combines price action with statistical filtering to capture high-probability trade setups in both Intraday and Positional modes. Designed with professional-grade tools and beginner-friendly controls, this strategy uses dynamic trendline projections based on pivot highs/lows and calculates their slope using ATR, Standard Deviation, or Linear Regression.
________________________________________
⚙️ Core Features:
🔸 Trendline Breakouts with Filters:
Automatically detects swing highs/lows and projects trendlines with slope control to capture valid breakouts—minimizing false signals in sideways markets.
🔸 Smart Slope Calculations:
Choose from 3 slope types:
• ATR – For volatility-based moves
• Stdev – For price dispersion control
• Linreg – For trendline precision via regression
🔸 Backpaint Control:
Option to display clean historical trendlines or real-time execution-level information.
🔸 Dual-Mode Execution:
Switch between Intraday (time-based) and Positional (date-based) trading logic with built-in session and date range filters.
________________________________________
🎯 Advanced Risk Management:
✅ Configurable Stoploss, Target, and Trailing Stoploss
• Set using %, points, or risk-to-reward logic
• Automatically calculates entry-level risk and adapts exits accordingly
✅ Full Long/Short control with individual toggle switches
✅ Auto-cancellation of trades beyond session timings or on opposite signal triggers
________________________________________
📈 Visual Markers & Clarity:
🔸 Breakout points marked with color-coded diamonds
🔸 Real-time display of Entry, Target, Stoploss lines
🔸 Trendlines extend forward with breakout confirmation visuals
________________________________________
🚀 Who is it for?
• Scalpers looking for short bursts of price action
• Positional traders seeking swing breakouts
• Algo traders needing precise alert logic
• Strategy testers exploring robust entry-exit systems
Happy Trading!
Pointalgo
Parallax Momentum MNQ Strategy# 📈 Parallax Momentum MNQ Strategy
## Overview
The Parallax Momentum MNQ Strategy is a sophisticated support/resistance breakout system specifically designed for Micro Nasdaq futures (MNQ) trading (also works on minis). This strategy combines dynamic level detection with momentum confirmation to identify high-probability entry opportunities while maintaining strict risk management protocols.
## 🎯 Key Features
### Core Strategy Logic
- **Dynamic Support/Resistance Detection**: Automatically identifies key levels using configurable lookback periods
- **Momentum Confirmation**: Volume-based filtering ensures trades align with market momentum
- **ATR-Based Risk Management**: Adaptive stop losses and take profits based on market volatility
- **Dual Entry System**: Both long and short opportunities with limit order execution
### Risk Management
- **ATR-Adaptive Stops**: Stop losses and take profits automatically adjust to market volatility
- **Reward-to-Risk Ratios**: Configurable R:R ratios with default 2:1 minimum
- **Maximum Loss Protection**: Optional daily loss limits to prevent overtrading
- **Session Time Filtering**: Trade only during specified market hours
### Strategy Modes
- **Conservative Mode**: 0.8x risk multiplier for cautious trading
- **Balanced Mode**: Standard 1.0x risk multiplier (default)
- **Aggressive Mode**: 1.2x risk multiplier for active trading
## 📊 Visual Features
### Dashboard Display
- Real-time strategy status and performance metrics
- Current support/resistance levels and ATR values
- Live risk-to-reward ratios for potential trades
- Win rate, profit factor, and drawdown statistics
- Adjustable dashboard size and positioning
### Chart Indicators
- Support and resistance lines with labels
- ATR-based levels (+/-1 ATR and +/-2 ATR)
- Dynamic visual updates as levels change
- Configurable line extensions and styling
## ⚙️ Configuration Options
### Entry Filters
- **Volume Filter**: Optional volume confirmation above SMA
- **Session Time Filter**: 12-hour format time restrictions
- **ATR vs Fixed Stops**: Choose between adaptive or fixed tick-based exits
### Risk Controls
- **ATR Period**: Default 14-period ATR calculation
- **Stop Loss Multiplier**: ATR-based stop distance (default 1.5x)
- **Take Profit Multiplier**: ATR-based target distance (default 1.5x)
- **Secondary Take Profit**: Optional TP2 with position scaling
## 📋 How It Works
### Entry Conditions
**Long Trades**: Triggered when price closes above support buffer but low touches support level, with volume and session confirmation
**Short Trades**: Triggered when price closes below resistance buffer but high touches resistance level, with volume and session confirmation
### Exit Strategy
- **Primary Take Profit**: ATR-based target with 2:1 R:R minimum
- **Stop Loss**: ATR-based protective stop
- **Optional TP2**: Extended target for partial profit taking
- **One Trade at a Time**: No overlapping positions
## 🎛️ Default Settings
- **Lookback Period**: 20 bars for support/resistance detection
- **ATR Period**: 14 bars for volatility calculation
- **Stop Loss**: 1.5x ATR from entry
- **Take Profit**: 1.5x ATR with 2:1 reward-to-risk ratio
- **Session**: 7:30 AM - 2:00 PM (configurable)
## ⚠️ Important Notes
### Risk Disclaimer
- This strategy is for educational and informational purposes only
- Past performance does not guarantee future results
- Always use proper position sizing and risk management
- Test thoroughly on historical data before live trading
- Consider market conditions and volatility when using
### Best Practices
- Backtest on sufficient historical data
- Start with conservative mode for new users
- Monitor performance regularly and adjust parameters as needed
- Use appropriate position sizing for your account
- Consider broker commissions and slippage in live trading
## 🔧 Customization
The strategy offers extensive customization options including:
- Adjustable time sessions with AM/PM format
- Configurable ATR and risk parameters
- Optional maximum daily loss limits
- Dashboard size and position controls
- Visual element toggles and styling
## 📈 Ideal For
- MNQ (Micro Nasdaq) futures traders
- Intraday momentum strategies
- Traders seeking systematic entry/exit rules
- Risk-conscious traders wanting automated stops
- Both beginner and experienced algorithmic traders
---
**Version**: Pine Script v5 Compatible
**Timeframe**: Works on multiple timeframes (test on 1m, 3m, 5m, 15m)
**Market**: Optimized for MNQ but adaptable to other instruments
**Strategy Type**: Trend following with momentum confirmation
RCI 2 Dashboards ✅ Strategy: RCI 2 Dashboards BY Sonu JAIN
This advanced strategy is built around the Rank Correlation Index (RCI), a unique momentum oscillator, and combines it with a comprehensive suite of powerful indicators to identify high-probability trading opportunities. The strategy’s core strength lies in its ability to filter signals using up to 12 different conditions for both long and short trades.
To make the decision-making process clear and intuitive, the strategy features two dynamic, customizable dashboards right on your chart. The first dashboard gives you a live, detailed breakdown of which conditions are met, while the second provides a real-time overview of the strategy’s performance.
How It Works
The strategy generates entry signals based on RCI crossovers and crossunders. These signals are then filtered by a customizable combination of other indicators to confirm the trade.
Long Entry:
The RCI crosses over its moving average.
All enabled long-side filters are met.
Short Entry:
The RCI crosses under its moving average.
All enabled short-side filters are met.
Key Features
RCI Crossover Logic: The core of the strategy is an RCI crossover/crossunder with a customizable moving average (MA). You can choose from SMA, EMA, SMMA (RMA), WMA, or VWMA.
12 Optional Filters: This strategy goes far beyond a simple RCI signal. You can enable or disable a wide range of filters to refine your entries. These include:
Trend: Supertrend, Parabolic SAR (SAR), and Vortex Indicator.
Volatility: Keltner Channels (KC) and Bollinger Bands (BB).
Momentum: Woodies CCI, Money Flow Index (MFI), and Relative Strength Index (RSI).
Volume: On-Balance Volume (OBV) and simple Volume analysis.
Directional Strength: Average Directional Index (ADX).
Timing: A time-of-day filter to trade only during specific market hours.
Dual Dashboards:
Detailed Condition Dashboard: This dashboard shows you exactly which of the 12 filters are currently met with a simple ✓ or ✗. This provides instant clarity on why a trade is or isn't being considered.
Performance Dashboard: This dashboard displays key performance metrics in real-time, including net profit, win rate, profit factor, max drawdown, and current/max winning and losing streaks. It also provides details on the most recent trade, such as entry, stop-loss, and exit prices.
Customizable Stop Loss: The strategy includes a fixed percentage-based stop loss for both long and short positions, which you can easily configure in the settings.
Trade Direction Control: You can choose to trade "Long Only," "Short Only," or "Long & Short," giving you complete control over your trading bias.
This strategy is a powerful tool for traders who want to build a robust, multi-filtered system. The included dashboards make it an excellent educational tool for understanding how different indicators work together to form a complete trading plan. You can use it to backtest and optimize your own unique combination of indicators to find the perfect setup for your market and timeframe.
Market Switches BUY/SELL Signal with iFVGThis Pine Script strategy identifies high-probability trade setups by combining liquidity sweeps of the London session with inverse Fair Value Gaps (iFVGs). It tracks the London high and low between 2:00 AM and 5:00 AM EST, then waits until after 9:30 AM EST to detect whether price sweeps above the London high or below the London low—indicating potential smart-money activity. Following a sweep, the script looks for a valid iFVG pattern, which must be confirmed within four candles. If a London low is swept and a bearish iFVG forms, a long trade is triggered; if a London high is swept and a bullish iFVG forms, a short trade is taken. Only one trade is allowed per day, with a fixed stop loss of $500 and take profit of $1000, both calculated in points based on the instrument. The script also includes chart labels, alert messages, and closes any open positions by 4:00 PM EST.
✅ BACKTEST: UT Bot + RSIRSI levels widened (60/40) — more signals.
Removed ATR volatility filter (to let trades fire).
Added inputs for TP and SL using ATR — fully dynamic.
Cleaned up conditions to ensure alignment with market structure.
Yuri Garcia Smart Money Strategy FULL (COMPLIANT)Yuri Garcia Smart Money Strategy FULL (Slope Divergence)
This script is not a mashup of random indicators. It is an original, coherent strategy that blends multiple institutional-grade tools to form a unified Smart Money trading system. Each component contributes to precise trade filtering, context, and confirmation — no element is decorative or redundant.
🔍 Strategy Logic: How It Works
This strategy integrates the following tools, each with a clearly defined role:
1. Volume Cluster Zones (Orange bands)
Identifies strong buy/sell areas using the highest volume nodes over a rolling window. These act as dynamic points of control where Smart Money is likely active.
2. HTF Zones (4H) (Purple band)
Defines institutional zones by using the 20-bar high/low on the 4-hour chart. These set the outer bounds for valid entries, ensuring alignment with larger market structure.
3. Wick Pullback Filter (Orange circle 🔶)
Detects exhaustion or absorption near zones. Used to confirm genuine rejection after liquidity sweeps or traps.
4. Cumulative Delta Confirmation (Red square 🟥)
Analyzes whether buyers or sellers are dominant using delta volume. Trades only trigger when volume confirms the intended direction.
5. Slope-Based Delta Divergence (Optional)
Detects hidden reversals between price and delta. This prevents late entries and provides early insight into potential trap reversals.
6. Liquidity Grab Detection (Blue diamond 🔷)
Marks smart money stop hunts — temporary price breaks beyond highs/lows, followed by reversal. Used as a confluence tool.
7. ATR-Based Dynamic Risk Control
The strategy uses ATR to calculate SL/TP dynamically. This allows position sizing to adjust to volatility, reducing overexposure in high-momentum conditions.
🎯 Entry Criteria
All the following conditions must be met:
✅ Price is inside a Volume Cluster Zone
✅ Price is within the HTF Institutional Zone
✅ Wick Pullback confirms reaction
✅ Delta confirms strength of buyers/sellers
✅ (Optional) Slope-based divergence signals hidden shift
✅ (Optional) Liquidity grab occurs
Only then will the strategy trigger an entry.
📈 Visual Legend (Symbols on Chart)
Symbol Description
🟣 Purple Zone HTF Support/Resistance zone (4H context)
🟠 Orange Zone Volume cluster from top 3 volume nodes
🔶 Orange Circle Wick Pullback confirmation
🟥 Red Square Delta Confirmation
🔷 Blue Diamond Liquidity Grab indicator
🔵 Blue X Price is inside HTF Zone
🔻 Red Triangle SHORT entry signal
🔺 Green Triangle LONG entry signal
These visuals make it easier to read the chart intuitively while understanding each condition’s role.
⚙️ Strategy Settings Justification
Default Qty: 2% of equity (sustainable risk)
RRR: 2.0 (adaptive to volatility)
ATR Multiplier: 2.0 for SL/TP
Commission: 0.1% used
Slippage: 2 points for realism
Minimum Trades for Testing: Designed to generate over 100 trades under normal backtest conditions
Dataset: Supports BTC, GOLD, Forex, Indices with realistic volatility and volume
These settings reflect a realistic use case for average retail traders and avoid overfitting or unrealistic returns.
📌 How to Use
Apply on 15-minute or 1-hour timeframe.
Wait for full alignment of all entry conditions.
Confirm visually or use included alerts for manual or bot execution.
SL and TP are automatically handled.
🚫 Important Notes
This script is original, not a remix or mashup of unrelated indicators.
Each component was designed to work in harmony, enhancing trade quality and confidence.
No external scripts are required to function.
Alert messages are pre-formatted for both manual and webhook use.
BTC 1m Chop Top/Bottom Reversal (Stable Entries)Strategy Description: BTC 5m Chop Top/Bottom Reversal (Stable Entries)
This strategy is engineered to capture precise reversal points during Bitcoin’s choppy or sideways price action on the 5-minute timeframe. It identifies short-term tops and bottoms using a confluence of volatility bands, momentum indicators, and price structure, optimized for high-probability scalping and intraday reversals.
Core Logic:
Volatility Filter: Uses an EMA with ATR bands to define overextended price zones.
Momentum Divergence: Confirms reversals using RSI and MACD histogram shifts.
Price Action Filter: Requires candle confirmation in the direction of the trade.
Locked Signal Logic: Prevents repaints and disappearing trades by confirming signals only once per bar.
Trade Parameters:
Short Entry: Above upper band + overbought RSI + weakening MACD + bearish candle
Long Entry: Below lower band + oversold RSI + strengthening MACD + bullish candle
Take Profit: ±0.75%
Stop Loss: ±0.4%
This setup is tuned for traders using tight risk control and leverage, where execution precision and minimal drawdown tolerance are critical.
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 CCI SuperTrendZYTX CCI SuperTrend
The definitive integration of CCI and SuperTrend trend-following indicators, delivering exemplary performance in automated trading bots.