Profitable SuperTrend + MA + Stoch StrategyThe **SuperTrend + Moving Average + Stochastic** strategy is a multi-layered technical approach that blends trend identification, momentum validation, and signal smoothing to enhance trade precision and profitability.
At its core, the **SuperTrend** indicator—sensitive to market volatility—detects shifts in trend direction with clear buy and sell cues. The **Moving Average** (MA) acts as a trend filter and dynamic stop-loss benchmark, ensuring price aligns with a broader directional bias. Meanwhile, the **Stochastic Oscillator** introduces a momentum confirmation layer by identifying overbought and oversold conditions, thereby filtering entries to periods where underlying momentum supports the move.
Together, these components create a robust system: trades are initiated only when the SuperTrend signals align with trend direction (supported by the MA), and the Stochastic crossover confirms momentum. The strategy is versatile across timeframes—from intraday to swing or positional trading—and allows traders to calibrate sensitivity via adjustable parameters. Designed for disciplined execution, it offers clear entries, exits, and risk management via dynamic stops for a consistent and systematic trading framework.
Bandas e Canais
[Stratégia] VWAP Mean Magnet v9 (Simple Alert)This strategy is specifically designed for a ranging (sideways-moving) Bitcoin market.
A trade is only opened and signaled on the chart if all three of the following conditions are met simultaneously at the close of a candle:
Zone Entry
The price must cross into the signal zone: the red band for a Short (sell) position, or the green band for a Long (buy) position.
RSI Confirmation
The RSI indicator must also confirm the signal. For a Short, it must go above 65 (overbought condition). For a Long, it must fall below 25 (oversold condition).
Volume Filter
The volume on the entry candle cannot be excessively high. This safety filter is designed to prevent trades during risky, high-momentum breakouts.
Range Filter Strategy [Arabic Real Backtest]استراتيجية مرشح النطاق - اختبار واقعي
نظرة عامة
استراتيجية مرشح النطاق المتقدمة مصممة للاختبار الواقعي مع توقيت تنفيذ دقيق وإدارة مخاطر شاملة. تم بناؤها خصيصًا لأسواق العملات الرقمية مع معلمات قابلة للتخصيص لأصول وفترات زمنية مختلفة.
الخوارزمية الأساسية
تقنية مرشح النطاق:
* حساب متوسط النطاق السلس باستخدام فلترة مزدوجة للـ EMA
* فلترة أسعار استنادًا إلى النطاق الديناميكي لتحديد اتجاه الاتجاه
* نظام فلترة ضد الضوضاء لتقليل الإشارات الخاطئة
* تتبع الزخم الاتجاهي مع عدادات للأعلى/للأسفل
الميزات الرئيسية
**التنفيذ الفوري (بدون تأخير)**
* معالجة الأوامر عند كل نقطة: تنفيذ فوري دون انتظار إغلاق الشمعة
* تكامل مكبر الشمعة للحصول على دقة داخل الشمعة
* الحساب في كل نقطة لضمان الاستجابة القصوى
* تجاوز OHLC القياسي لزيادة الدقة
**محاكاة الأسعار الواقعية**
* تسعير الدخول باستخدام HL2 (High+Low)/2 لملء واقعي
* محاكاة للبُعد العازل للسعر القابل للتخصيص
* إنشاء انزلاق عشوائي (من 0 إلى الحد الأقصى للانزلاق)
* التحقق من سيولة السوق قبل الدخول
**فلترة الإشارات المتقدمة**
* فلترة استنادًا إلى الحجم مع نسبة قابلة للتخصيص
* نظام تأكيد الإشارة اختياري (من 1 إلى 3 شموع)
* منطق مضاد للتكرار لمنع الإشارات المكررة
* التحكم في حد التداول اليومي
**إدارة المخاطر**
* نسب ثابتة للمخاطرة: العائد مع حساب دقيق للنقاط
* تنفيذ وقف الخسارة وجني الأرباح تلقائيًا
* إدارة حجم المركز
* تحديد الحد الأقصى للصفقات اليومية
**نظام التنبيهات**
* تنبيهات فورية متزامنة مع تنفيذ الاستراتيجية
* أنواع متعددة من التنبيهات: إعداد، دخول، خروج، حالة
* تخصيص تنسيق الرسائل مع تضمين السعر/الوقت
* تكامل مع لوحة تنبيهات TradingView
المعلمات الافتراضية
محسن لرسوم بيانية لفترة 5 دقائق لبيتكوين:
* فترة العينة: 100
* معامل النطاق: 3.0
* المخاطرة: 50 نقطة
* المكافأة: 100 نقطة (نسبة 1:2)
* بُعد الانتشار: 2.0 نقطة
* الحد الأقصى للانزلاق: 1.0 نقطة
منطق الإشارة
**شروط الدخول الطويل:**
* السعر فوق خط مرشح النطاق
* تأكيد الزخم الصاعد
* تلبية متطلبات الحجم (إذا تم تمكينها)
* اكتمال فترة التأكيد (إذا تم تمكينها)
* لم يتم تجاوز حد الصفقات اليومية
**شروط الدخول القصير:**
* السعر تحت خط مرشح النطاق
* تأكيد الزخم الهابط
* تلبية متطلبات الحجم (إذا تم تمكينها)
* اكتمال فترة التأكيد (إذا تم تمكينها)
* لم يتم تجاوز حد الصفقات اليومية
العناصر البصرية
* خط مرشح النطاق مع تلوين الاتجاه
* الأشرطة العليا والسفلى المستهدفة
* علامات إشارات الدخول
* صناديق نسبة المخاطرة/العائد
* لوحة إعدادات حية
خيارات التخصيص
**التكيف مع السوق:**
* تعديل فترة العينة لبيانات الزمن المختلفة
* تعديل معامل النطاق لمستويات التقلب المختلفة
* تكوين الانتشار/الانزلاق لوسطاء مختلفين
* تحديد النسب المناسبة للمخاطرة/العائد حسب أسلوب التداول
**ضوابط الفلترة:**
* تمكين/تعطيل فلترة الحجم
* تعديل متطلبات التأكيد
* تعيين حدود الصفقات اليومية
* تخصيص تفضيلات التنبيه
الميزات المتعلقة بالأداء
* نتائج اختبار واقعية متوافقة مع التداول المباشر
* القضاء على تحيز المستقبل
* محاكاة تنفيذ الأوامر بشكل صحيح
* إحصائيات تداول شاملة
تكوين التنبيه
**أنواع التنبيهات المتاحة:**
* إشارات الدخول مع معلومات التداول الكاملة
* تنبيهات الإعداد للتحضير المبكر
* إشعارات الخروج لإدارة المراكز
* فلترة التغيرات في الاتجاه لظروف السوق
**تنسيق الرسائل:**
رمز - الإجراء | السعر: XX.XX | الوقف: XX.XX | الهدف: XX.XX | الوقت: HH\:MM
التوصيات لاستخدام الاستراتيجية
**الإعدادات المثلى:**
* بيتكوين/العملات الرقمية الرئيسية: المعلمات الافتراضية
* الفوركس: تقليل فترة العينة إلى 50-70، المعامل إلى 2.0-2.5
* الأسهم: تقليل فترة العينة إلى 30-50، المعامل إلى 1.0-1.8
* الذهب: فترة العينة 60-80، المعامل 1.5-2.0
**تكوين TradingView:**
* إعادة الحساب: "على كل نقطة"
* الأوامر: "استخدام مكبر الشمعة"
* البيانات: يوصى باستخدام التغذية الحية
إخلاء المسؤولية
تم تصميم هذه الاستراتيجية لأغراض تعليمية وتحليلية. الأداء السابق لا يضمن النتائج المستقبلية. يجب دائمًا إجراء اختبارات شاملة على التداول الورقي قبل التنفيذ المباشر. يجب أخذ ظروف السوق، تنفيذ الوسيط، والتحمل الشخصي للمخاطر في الاعتبار عند استخدام أي نظام تداول آلي.
Range Filter Strategy - Real Backtesting
# Overview
Advanced Range Filter strategy designed for realistic backtesting with precise execution timing and comprehensive risk management. Built specifically for cryptocurrency markets with customizable parameters for different assets and timeframes.
Core Algorithm
Range Filter Technology:
- Smooth Average Range calculation using dual EMA filtering
- Dynamic range-based price filtering to identify trend direction
- Anti-noise filtering system to reduce false signals
- Directional momentum tracking with upward/downward counters
Key Features
Real-Time Execution (No Delay)
- Process orders on tick: Immediate execution without waiting for bar close
- Bar magnifier integration for intrabar precision
- Calculate on every tick for maximum responsiveness
- Standard OHLC bypass for enhanced accuracy
Realistic Price Simulation
- HL2 entry pricing (High+Low)/2 for realistic fills
- Configurable spread buffer simulation
- Random slippage generation (0 to max slippage)
- Market liquidity validation before entry
Advanced Signal Filtering
- Volume-based filtering with customizable ratio
- Optional signal confirmation system (1-3 bars)
- Anti-repetition logic to prevent duplicate signals
- Daily trade limit controls
Risk Management
- Fixed Risk:Reward ratios with precise point calculation
- Automatic stop loss and take profit execution
- Position size management
- Maximum daily trades limitation
Alert System
- Real-time alerts synchronized with strategy execution
- Multiple alert types: Setup, Entry, Exit, Status
- Customizable message formatting with price/time inclusion
- TradingView alert panel integration
Default Parameters
Optimized for BTC 5-minute charts:
- Sampling Period: 100
- Range Multiplier: 3.0
- Risk: 50 points
- Reward: 100 points (1:2 R:R)
- Spread Buffer: 2.0 points
- Max Slippage: 1.0 points
Signal Logic
Long Entry Conditions:
- Price above Range Filter line
- Upward momentum confirmed
- Volume requirements met (if enabled)
- Confirmation period completed (if enabled)
- Daily trade limit not exceeded
Short Entry Conditions:
- Price below Range Filter line
- Downward momentum confirmed
- Volume requirements met (if enabled)
- Confirmation period completed (if enabled)
- Daily trade limit not exceeded
Visual Elements
- Range Filter line with directional coloring
- Upper and lower target bands
- Entry signal markers
- Risk/Reward ratio boxes
- Real-time settings dashboard
Customization Options
Market Adaptation:
- Adjust Sampling Period for different timeframes
- Modify Range Multiplier for various volatility levels
- Configure spread/slippage for different brokers
- Set appropriate R:R ratios for trading style
Filtering Controls:
- Enable/disable volume filtering
- Adjust confirmation requirements
- Set daily trade limits
- Customize alert preferences
Performance Features
- Realistic backtesting results aligned with live trading
- Elimination of look-ahead bias
- Proper order execution simulation
- Comprehensive trade statistics
Alert Configuration
Alert Types Available:
- Entry signals with complete trade information
- Setup alerts for early preparation
- Exit notifications for position management
- Filter direction changes for market context
Message Format:
Symbol - Action | Price: XX.XX | Stop: XX.XX | Target: XX.XX | Time: HH:MM
Usage Recommendations
Optimal Settings:
- Bitcoin/Major Crypto: Default parameters
- Forex: Reduce sampling period to 50-70, multiplier to 2.0-2.5
- Stocks: Reduce sampling period to 30-50, multiplier to 1.0-1.8
- Gold: Sampling period 60-80, multiplier 1.5-2.0
TradingView Configuration:
- Recalculate: "On every tick"
- Orders: "Use bar magnifier"
- Data: Real-time feed recommended
Risk Disclaimer
This strategy is designed for educational and analytical purposes. Past performance does not guarantee future results. Always test thoroughly on paper trading before live implementation. Consider market conditions, broker execution, and personal risk tolerance when using any automated trading system.
Martin Strategy - No Loss Exit v3Martin Strategy - No Loss Exit v3Martin Strategy - No Loss Exit v3Martin Strategy - No Loss Exit v3
Vegas Tunnel StrategyVegas Tunnel Strategy is a trend-following breakout system based on exponential moving averages (EMAs). It uses a "tunnel" formed by the 144 EMA and 169 EMA to identify the market's long-term trend direction. Entry signals are generated when a shorter-term EMA (12 EMA) breaks above or below this tunnel, confirming momentum alignment.
Long Setup: Price and EMA12 are above the tunnel (EMA144 < EMA169); entry on pullback near the tunnel.
Short Setup: Price and EMA12 are below the tunnel (EMA144 > EMA169); entry on rebound near the tunnel.
Exit Rules: Fixed stop loss below/above the tunnel or based on ATR; take profit at 1.5–2× the risk.
This strategy works best on 4H or daily charts and is suitable for trending assets like FX pairs, gold, oil, or indices.
TrendPilot AI — SmartATR Surge System🔵 TrendPilot AI — SmartATR Surge System v2
🚀 A next-gen AI-enhanced trading system built for serious day traders, scalpers, and swing traders who demand precision, consistency, and automation.
It blends ATR logic, smart filters, and adaptive trade control into one powerful toolkit — for manual and auto-trading.
🔍 Core Features (with Detailed Breakdown):
✅ Dynamic Trend Detection — Powered by ATR Logic
Uses the Average True Range (ATR) to detect real market volatility and breakout strength. Unlike fixed indicators, this adapts to changing market conditions.
✅ Precision Entry Zones with Smart Buy/Sell Signals
No more guessing — the system marks confirmed long/short entries with clear dot markers and labels.
Optional: Enable pullback re-entries when the trend persists.
✅ Smart TP/SL Management — Flexible Exit Control
Set your own Take Profit & Stop Loss in 3 modes:
— Fixed price levels
— % based targets
— ATR-based trailing stop
🎯 TP only hits when price closes beyond your level, reducing false exits.
✅ Visual Long/Short Signals with Trend Confirmations
Easily view current trade direction via:
— Green Dot + “Long” label for Buy
— Red Dot + “Short” label for Sell
— Grey X = Neutral/No Trade
These signals follow strict entry filters, avoiding fakeouts and noise.
✅ Multi-Layered Entry Filters
Avoid garbage trades using:
— ATR zone strength
— Trend continuation checks
— Optional EMA filter
— Consolidation breakout logic
These filters only trigger high-quality setups.
✅ Built-In Risk Control Features
🛡️ Protect your capital with:
— Daily loss limit (in %)
— Daily max trade count
— No trade zones when volatility is too low/high
Perfect for risk-conscious traders and funded accounts.
✅ Webhook Automation Ready — Trade 100% Hands-Free
Built-in alerts with webhook format to connect to:
➡️ Binance
➡️ Bybit
➡️ Other copy-trading bots
Set your TP, SL, position size, direction, and more in TradingView and trade directly via webhook tools.
Zero coding needed.
✅ Ultra-Lightweight & Non-Repainting Logic
Once a signal prints, it stays. No repainting. No lag. No confusion.
Perfect for live trading, scalping, and bot execution.
🧠 Supported Trading Modes:
— Long + Short (Dual Mode)
— Long Only / Short Only
— Single Entry / Re-entry Enabled
— Filtered Mode (High-quality trades only)
Custom settings let you fine-tune for your style.
⏱️ Recommended Time Frames & Assets
Optimized for 10-min, 15-min, and higher time frames
Perfect for swing trading or structured scalping setups
💎 Best Performance On:
AAVE, SOL, BTC, ETH, AVAX, LTC, BNB, and other high market cap coins
Also performs well on low-noise FX pairs or trending stocks
📊 Ideal for:
— Manual Traders (wanting structure + clear alerts)
— Auto Traders (with webhook / bot integration)
— Small accounts + funded accounts (with risk filters)
— Scalping, Intraday & Position setups
📌 Invite-Only Access (Private Script)
TrendPilot AI is not public. Access is given to verified users only.
You’ll receive:
✔ Indicator access
✔ Setup help
✔ Community support
✔ Auto-trading guide
👥 Join the WhatsApp Community + Get Access:
🧠 Learn setups, ask questions, share results — free to join:
👉 Join Group Now
💬 📩 For help, mentorship, or bot activation:
Admin 📱 WhatsApp: Click Here
Team 📱 WhatsApp: Click Here
📩 Click to message: — Admin
🛠️ Developed by: Nisar Mehar
Strategy Name: TrendPilot AI — SmartATR Surge System
🔄 Feel free to fork, optimize, or contact for enhancements and collaboration.
📩 Need help or want to improve the system?
👉 Message Me on Telegram
Hydra Hunter ~ Universal Mean Reversion System | AlphaNatt🐍 Hydra Hunter ~ Universal Mean Reversion System | AlphaNatt
Advanced dual-phase mean reversion strategy that hunts dips on both regular and inverse price charts
📈 Strategy Overview
The Hydra Hunter employs a sophisticated mean reversion approach that identifies high-probability dip buying opportunities while simultaneously monitoring inverse chart patterns for optimal exit signals. Like the mythical Hydra with multiple heads, this strategy attacks the market from multiple angles to capture mean reversion profits.
🎯 Key Features
Dual-Phase Detection: Hunts dips on regular charts for entries, uses inverse charts for exits
Dynamic Support System: Calculates adaptive support levels using ATR and lookback analysis
Market Regime Filter: Only trades during favorable, ranging market conditions
Quality Scoring: Multi-factor quality assessment including trend, volume, RSI, and momentum
Volume Confirmation: Validates signals with volume spike detection
Risk Management: Integrated stop-loss and regime-based position closure
⚙️ How It Works
Dip Detection: Identifies when price drops below dynamic support levels
Quality Assessment: Scores each dip based on trend alignment, volume, RSI, and momentum
Entry Logic: Goes long when price dips below support during bearish regime
Inverse Monitoring: Tracks inverse chart for resistance-level shorts
Exit Strategy: Closes positions when market regime shifts bullish (≥0.5)
📊 Technical Components
Support Calculation: Dynamic support using lowest low + ATR multiplier
Trend Analysis: EMA200/50 with multi-timeframe trend scoring
Volatility Filter: ATR-based sensitivity adjustment
Momentum Confirmation: Rate of change and RSI validation
Regime Detection: Advanced market state identification
🔧 Customizable Parameters
Sensitivity: Adjust dip detection sensitivity (0.1-3.0)
Lookback Period: Historical analysis window (max 200)
Dip Depth: Minimum dip percentage required (0.5-10%)
Risk Management: Stop-loss and risk-reward settings
Visual Options: Support/resistance lines with glow effects
💡 Best Use Cases
Range-bound and mean-reverting markets
High-volatility cryptocurrency pairs
Markets with clear support/resistance levels
Complementary to trend-following strategies
⚠️ Important Notes
Designed for crypto markets (optimized for BTC/USDT)
Works best in volatile, range-bound conditions
Uses regime filtering to avoid trending market whipsaws
Includes comprehensive backtesting metrics and visualization
📚 Strategy Stats & Metrics
Built-in performance analytics display:
Real-time P&L tracking
Equity curve visualization
Comprehensive backtesting table
Win rate and risk metrics
"The Hydra Hunter doesn't just buy dips - it intelligently selects the highest quality mean reversion opportunities while managing risk through regime-aware position sizing."
🚀 Perfect for traders seeking:
- Mean reversion opportunities in crypto markets
- Advanced dip-buying strategies with smart exits
- Regime-aware position management
- Professional-grade backtesting and analytics
Developed by AlphaNatt. Not financial advice.
Moving Average Channel Strategy 1.0 [Point Algo]📊 Moving Average Channel Strategy (v6) – Breakout Logic Simplified
________________________________________
🚀 Overview
The Moving Average Channel (MAC) Strategy is a breakout-based trading system designed to capture directional moves when price crosses out of a moving average channel. It’s ideal for both Intraday and Positional traders across Futures and Options
________________________________________
🔧 Core Logic
• Dynamic MA Channel
Forms a breakout zone with two SMA lines:
o 🔵 MA High (upper band from high price)
o 🔴 MA Low (lower band from low price)
• 4 Long Entries
1. Price crosses both lines from below in one candle
2. Closes below MA Low, then breaks above MA High
3. Closes inside the channel, then breaks above MA High
4. Cross-under MA High → re-cross and break above it
• 4 Short Entries
1. Price crosses both lines from above in one candle
2. Closes above MA High, then breaks below MA Low
3. Closes inside the channel, then breaks below MA Low
4. Cross-over MA Low → re-cross and break below it
• Entries are barstate confirmed, ensuring signal stability
________________________________________
⚙️ Trade Setup Controls
• 🔹 Toggle Intraday or Positional mode
• 🔹 Choose trading window/session time
• 🔹 Filter backtest range by date
• 🔹 Quantity, direction (Long/Short/Both), instrument (Futures/Options), and strike type (ATM/ITM/OTM) configurable
• 🔹 Options to simulate Option Buy or Option Sell
________________________________________
🎯 Risk Management
• Stoploss, Target, and Trailing SL
o Choose from: %, Pts, or Risk-based (candle low/high)
• Works with:
o 🛑 Stoploss-only setups
o 🎯 Target-only setups
o ⚖️ Combined SL + TGT setups
o 📈 Dynamic Trailing Stoploss logic
• Auto close positions on:
o End of session
o Signal reversal
o SL/Target triggers
________________________________________
📈 Visual Features
• Diamond markers for Buy (🟢) and Short (🔴) entries
• Dynamic plotting of:
o Entry price
o Stoploss
o Target
o MA Channel boundaries (blue/red)
________________________________________
👥 Ideal For
• 📍 Intraday and swing traders
• 🧠 Traders who prefer visual breakout confirmation
• 🧪 Strategy testers and coders exploring MA-based breakouts
• 🔁 Automated system users
⚠️ Disclaimer:
This strategy is a tool for technical analysis and educational use only. Past performance or backtest results do not guarantee future results. Market conditions may vary, and users are advised to validate settings and apply proper risk management before using in live environments.
________________________________________
Happy Trading!
AUD/USD 1-Min Scalping Strategy with LabelsHere’s a complete TradingView Pine Script v5 for the 1-minute AUD/USD scalping strategy we just discussed. This strategy uses:
EMA 13 and EMA 26 for trend filtering
Bollinger Bands for volatility extremes
RSI (4) for momentum confirmation
Dynamic DCA Envelope – Beta V1.1Dynamic DCA Envelope-Beta V1.1 is a preview version of a Dollar-Cost Averaging (DCA) strategy designed for trending or volatile markets.
-Long Positions Only
-Intended for Cryptocurrency, but can be used in any market
-1 and 4 hour timeframe
-Average Commissions 0.1%-0.3% per trade (Cryptocurrency)
What it does:
This strategy identifies buying opportunities when price closes below a dynamic envelope (based on EMA). After 3 consecutive closes below the lower envelope, the system arms a buy condition. A DCA buy-in is triggered when price bounces by a configurable percentage from the trailing low. The strategy supports up to 3 buy-ins, each equally sized, and closes the entire position at a fixed take profit or stop loss.
How it works:
-Entry logic is based on price deviation from an EMA envelope
-Waits for 3 closes below the envelope to detect weakness
-Uses bounce percentage from the lowest point to trigger each buy
-Includes cooldown logic between buys to avoid clustering
-All positions are closed when TP or SL is hit
How to use it:
-Use on trending assets with volatility (e.g., crypto, tech stocks)
-Adjust inputs to match asset behavior:
-EMA Length
-Envelope Offset %
-Bounce % (Trailing DCA)
-Take Profit / Stop Loss
-View strategy performance in the Strategy Tester tab
What’s unique:
Unlike most DCA scripts that immediately average down, this version includes:
-Trigger logic requiring multiple closes below trend
-Bounce-based entry to avoid catching a falling knife
-Cooldown resets to prevent overtrading
-A true entry–wait–buy–reset loop mimicking disciplined execution
*This is a beta version intended as a preview. A full Pro version is in development, which includes:
-SmartScaling logic
-Trailing take profit
-Multi-symbol scanning
-Backtest range limits
-Risk-adjusted filtering
The Real DealThis strategy uses a closed source 3 EMA band, as well as a few other closed source indicators that I prefer no to mention right now. Play with it and tell me what you think. The stock settings are definitely not what I use.
Bollinger Bands SMA 20_2 StrategyMean reversion strategy using Bollinger Bands (20-period SMA with 2.0 standard deviation bands).
Trade Triggers:
🟢 BUY SIGNAL:
When: Price crosses above the lower Bollinger Band
Logic: Price has hit oversold territory and is bouncing back
Action: Places a long position with stop at the lower band
🔴 SELL SIGNAL:
When: Price crosses below the upper Bollinger Band
Logic: Price has hit overbought territory and is pulling back
Action: Places a short position with stop at the upper band
Ichimoku Cloud Buy & Custom EMA Exit [With Volume and Filters]1BUY STRATEGY USING ICHIMOKU CLOUD, Ichimoku Cloud Buy with good risk reward ratio
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.
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.
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.
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.
NovaGrid [Mr_Rakun]🔹 Purpose of the Strategy
NovaGrid is a grid-based DCA (Dollar Cost Averaging) strategy that opens positions at price intervals and manages each one with individual take-profit levels. It is designed to generate entries based on selected technical indicators and allows for structured accumulation within a customizable price range and entry conditions.
⸻
🧩 Core Features
• Dynamic Grid System: Opens entries at percentage-based intervals up to a specified limit.
• Indicator-Based Entry Conditions: Choose from RSI, MFI, Stochastic RSI, MACD, VWMA, EMA, SuperTrend, or unconditional entries.
• TP & SL Management: Each position has a separate take-profit level. Optional stop-loss and post-stop shutdown are supported.
• Backtest Range Support: Users can define custom start and end dates for strategy testing.
• Advanced Visuals: Clearly marked entry levels, TP lines, grid projections, and average price lines with labels.
• Info Table Interface: Displays live trade stats such as active grids, total trades, max used grids, and test window.
⸻
🔧 Input Parameters
📌 Grid Settings
• Grid Count (grid): Maximum number of grid entries.
• Percentage Gap (perc): The percentage drop required between each grid entry.
• Take Profit % (tp): The profit percentage used for individual TP levels.
📌 Price Boundaries
• Top Price: No trades are opened above this level. Set to 0 to disable.
• Bottom Price: No trades are opened below this level. Set to 0 to disable.
📌 Stop Loss
• SL %: Places a stop-loss based on the last entry’s price.
• Stop After SL: Stops the strategy from opening new trades once SL is triggered (sltetik flag).
⸻
🧮 Entry Conditions
Select an indicator from the dropdown to determine when the strategy starts building the grid:
• RSI: Entry when RSI crosses below a defined level.
• MFI: Entry when MFI crosses above a defined level.
• Stochastic RSI: Entry when %K crosses under %D and below the threshold.
• MACD: Entry when MACD line crosses above the Signal line.
• VWMA / EMA: Entry when the price is above the moving average.
• SuperTrend: Entry when SuperTrend gives a bullish signal.
• Uncondition: Always enter without checking indicators.
⸻
📈 Position Management
• Entries are placed as limit orders at calculated grid prices.
• TP lines and labels are created per position.
• New entries are opened until the grid limit is reached.
• Positions are exited individually upon reaching TP.
• A stop-loss event closes all open positions. Optional permanent disable.
⸻
⸻
🔧 Input Parameters
📌 Grid Settings
• Grid Count (grid): Maximum number of grid entries.
• Percentage Gap (perc): The percentage drop required between each grid entry.
• Take Profit % (tp): The profit percentage used for individual TP levels.
📌 Price Boundaries
• Top Price: No trades are opened above this level. Set to 0 to disable.
• Bottom Price: No trades are opened below this level. Set to 0 to disable.
📌 Stop Loss
• SL %: Places a stop-loss based on the last entry’s price.
• Stop After SL: Stops the strategy from opening new trades once SL is triggered
⸻
🧮 Entry Conditions
Select an indicator from the dropdown to determine when the strategy starts building the grid:
• RSI: Entry when RSI crosses below a defined level.
• MFI: Entry when MFI crosses above a defined level.
• Stochastic RSI: Entry when %K crosses under %D and below the threshold.
• MACD: Entry when MACD line crosses above the Signal line.
• VWMA / EMA: Entry when the price is above the moving average.
• SuperTrend: Entry when SuperTrend gives a bullish signal.
• Uncondition: Always enter without checking indicators.
⸻
📈 Position Management
• Entries are placed as limit orders at calculated grid prices.
• TP lines and labels are created per position.
• New entries are opened until the grid limit is reached.
• Positions are exited individually upon reaching TP.
• A stop-loss event closes all open positions. Optional permanent disable.
⸻
📊 Info Table
A customizable table in the corner of the chart displays:
• Strategy name and version
• Total configured grids
• Current active grids
• Max used grids
• Total closed trades
• Backtest time range (start and end)
Range Filter Strategy [Real Backtest]Range Filter Strategy - Real Backtesting
# Overview
Advanced Range Filter strategy designed for realistic backtesting with precise execution timing and comprehensive risk management. Built specifically for cryptocurrency markets with customizable parameters for different assets and timeframes.
Core Algorithm
Range Filter Technology:
- Smooth Average Range calculation using dual EMA filtering
- Dynamic range-based price filtering to identify trend direction
- Anti-noise filtering system to reduce false signals
- Directional momentum tracking with upward/downward counters
Key Features
Real-Time Execution (No Delay)
- Process orders on tick: Immediate execution without waiting for bar close
- Bar magnifier integration for intrabar precision
- Calculate on every tick for maximum responsiveness
- Standard OHLC bypass for enhanced accuracy
Realistic Price Simulation
- HL2 entry pricing (High+Low)/2 for realistic fills
- Configurable spread buffer simulation
- Random slippage generation (0 to max slippage)
- Market liquidity validation before entry
Advanced Signal Filtering
- Volume-based filtering with customizable ratio
- Optional signal confirmation system (1-3 bars)
- Anti-repetition logic to prevent duplicate signals
- Daily trade limit controls
Risk Management
- Fixed Risk:Reward ratios with precise point calculation
- Automatic stop loss and take profit execution
- Position size management
- Maximum daily trades limitation
Alert System
- Real-time alerts synchronized with strategy execution
- Multiple alert types: Setup, Entry, Exit, Status
- Customizable message formatting with price/time inclusion
- TradingView alert panel integration
Default Parameters
Optimized for BTC 5-minute charts:
- Sampling Period: 100
- Range Multiplier: 3.0
- Risk: 50 points
- Reward: 100 points (1:2 R:R)
- Spread Buffer: 2.0 points
- Max Slippage: 1.0 points
Signal Logic
Long Entry Conditions:
- Price above Range Filter line
- Upward momentum confirmed
- Volume requirements met (if enabled)
- Confirmation period completed (if enabled)
- Daily trade limit not exceeded
Short Entry Conditions:
- Price below Range Filter line
- Downward momentum confirmed
- Volume requirements met (if enabled)
- Confirmation period completed (if enabled)
- Daily trade limit not exceeded
Visual Elements
- Range Filter line with directional coloring
- Upper and lower target bands
- Entry signal markers
- Risk/Reward ratio boxes
- Real-time settings dashboard
Customization Options
Market Adaptation:
- Adjust Sampling Period for different timeframes
- Modify Range Multiplier for various volatility levels
- Configure spread/slippage for different brokers
- Set appropriate R:R ratios for trading style
Filtering Controls:
- Enable/disable volume filtering
- Adjust confirmation requirements
- Set daily trade limits
- Customize alert preferences
Performance Features
- Realistic backtesting results aligned with live trading
- Elimination of look-ahead bias
- Proper order execution simulation
- Comprehensive trade statistics
Alert Configuration
Alert Types Available:
- Entry signals with complete trade information
- Setup alerts for early preparation
- Exit notifications for position management
- Filter direction changes for market context
Message Format:
Symbol - Action | Price: XX.XX | Stop: XX.XX | Target: XX.XX | Time: HH:MM
Usage Recommendations
Optimal Settings:
- Bitcoin/Major Crypto: Default parameters
- Forex: Reduce sampling period to 50-70, multiplier to 2.0-2.5
- Stocks: Reduce sampling period to 30-50, multiplier to 1.0-1.8
- Gold: Sampling period 60-80, multiplier 1.5-2.0
TradingView Configuration:
- Recalculate: "On every tick"
- Orders: "Use bar magnifier"
- Data: Real-time feed recommended
Risk Disclaimer
This strategy is designed for educational and analytical purposes. Past performance does not guarantee future results. Always test thoroughly on paper trading before live implementation. Consider market conditions, broker execution, and personal risk tolerance when using any automated trading system.
Best Settings Found for Gold 15-Minute Timeframe
After extensive testing and optimization, these are the most effective settings I've discovered for trading Gold (XAUUSD) on the 15-minute timeframe:
Core Filter Settings:
Sampling Period: 100
Range Multiplier: 3.0
Professional Execution Engine:
Realistic Entry: Enabled (HL2)
Spread Buffer: 2 points
Dynamic Slippage: Enabled with max 1 point
Volume Filter: Enabled at 1.7x ratio
Signal Confirmation: Enabled with 1 bar confirmation
Risk Management:
Stop Loss: 50 points
Take Profit: 100 points (2:1 Risk-Reward)
Max Trades Per Day: 5
These settings provide an excellent balance between signal accuracy and realistic market execution. The volume filter at 1.7x ensures we only trade during periods of sufficient market activity, while the 1-bar confirmation helps filter out false signals. The spread buffer and slippage settings account for real trading costs, making backtest results more realistic and achievable in live trading.