Pressure Pivots - MPI (Strategy)⇋ PRESSURE PIVOTS — MARKET PRESSURE INDEX STRATEGY
A comprehensive reversal trading system that combines order flow pressure analysis, multi-factor confluence detection, and adaptive machine learning to identify high-probability turning points in liquid markets.
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CORE INNOVATION: MARKET PRESSURE INDEX (MPI)
Traditional indicators measure price movement. The Market Pressure Index measures the force behind the movement.
How MPI Works:
Every bar tells two stories through volume distribution:
• Buy Pressure: Volume × (Close - Low) / (High - Low)
• Sell Pressure: Volume × (High - Close) / (High - Low)
• Net Pressure: Buy Pressure - Sell Pressure
This raw pressure is then normalized against baseline activity to create the bounded MPI (-1.0 to +1.0):
• Smooth Pressure: EMA(Net Pressure, period)
• Baseline Activity: SMA(|Net Pressure|, period × 2)
• MPI: (Smooth Pressure / Baseline) × Sensitivity
What MPI Reveals:
MPI > +0.7: Extreme buy pressure → Exhaustion potential
MPI = +0.2 to +0.7: Healthy bullish momentum
MPI = -0.2 to +0.2: Neutral/balanced pressure
MPI = -0.7 to -0.2: Healthy bearish momentum
MPI < -0.7: Extreme sell pressure → Exhaustion potential
Why It Works:
Two bars can both move 10 points, but if one closes at the high on high volume (aggressive buying) and the other closes mid-range on average volume (weak buying), only MPI distinguishes between sustainable momentum and exhaustion. This volume-weighted pressure analysis reveals conviction behind price moves—the key to timing reversals.
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SEVEN-FACTOR CONFLUENCE SYSTEM
MPI extremes alone aren't enough. The system requires multiple independent confirmations through weighted scoring:
1. DIVERGENCE (Weight: 3.0) — Premium Signal Type: DIV
Price makes new high but MPI makes lower high (or inverse for bullish)
• Detection: Tracks pivots with 5-bar lookback, compares price vs MPI at pivot points
• Signal: Purple triangles, highest weight (pressure weakening while price extends)
2. LIQUIDITY SWEEP (Weight: 2.5) — Premium Signal Type: LIQ
Price breaks swing high/low within 0.3 ATR then reverses
• Detection: Break within tolerance + close back through level
• Signal: Orange triangles, second-highest weight (stop hunt reversal)
3. ORDER FLOW IMBALANCE (Weight: 2.0) — Premium Signal Type: OF
Aggressive buying/selling 50% above normal
• Detection: EMA(aggressive volume) vs SMA(imbalance) threshold
• Signal: Aqua triangles, institutional positioning
4. VELOCITY EXHAUSTION (Weight: 1.5)
Parabolic move (2+ ATRs in 3 bars) + extreme MPI
• Detection: |3-bar price change / ATR| > threshold + MPI > ±0.5
• Indicates: Momentum deceleration, blow-off top/bottom
5. WICK REJECTION (Weight: 1.5)
Single bar: wick > 60% of range, or sequence: 2 bars with 40% + 30% wicks
• Detection: Shooting stars (bearish) or hammers (bullish)
• Indicates: Intrabar rejection, battle won by opposing side
6. VOLUME SPIKE (Weight: 1.0)
Volume > 20-bar average × multiplier (default: 2.0x)
• Detection: Participation surge confirmation
• Lowest weight: Can be manipulated, better as confirmation
7. POSITION FACTOR (Weight: 1.0)
At 10-bar highest (bearish) or lowest (bullish)
• Detection: Structural positioning for reversal
• Base requirement: Must be at extreme to score
Scoring Logic:
Premium Signals (DIV/LIQ/OF): Must score ≥6.0 (default premiumThreshold)
Standard Signals (STD): Must score ≥4.0 (default standardThreshold)
Example Scoring:
Divergence (3.0) + Liquidity Sweep (2.5) + Volume (1.0) = 6.5 → FIRES (DIV signal)
Recent High (1.0) + Wick (1.5) + Volume (1.0) + Velocity (1.5) = 5.0 → FIRES (STD signal)
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ADAPTIVE LEARNING ENGINE
Unlike static strategies, this system learns from every trade and optimizes itself.
Performance Tracking:
Every trade records:
• Entry Score: Confluence level at entry
• Signal Type: DIV / LIQ / OF / STD
• Win/Loss: Boolean outcome
• R-Multiple: (Exit - Entry) / (Entry - Stop)
• MAE: Maximum Adverse Excursion (worst drawdown)
• MFE: Maximum Favorable Excursion (best profit reached)
Three Adaptive Parameters:
1. Signal Threshold Adaptation
If Win Rate < Target (45%): RAISE threshold → fewer signals, better quality
If Win Rate > Target + 10% AND good R: LOWER threshold → more signals, profitable
2. Stop Distance Adaptation
If Avg MAE > 0.85 AND WR < 50%: WIDEN stops → reduce premature exits
If Avg MAE < 0.4 AND WR > 55%: TIGHTEN stops → reduce risk
3. Target Distance Adaptation
If Avg MFE > Target × 1.5: EXTEND targets → capture more of runners
If Avg MFE < Target × 0.7: SHORTEN targets → take profits faster
Signal Type Filtering:
The system tracks performance by type (DIV/LIQ/OF/STD):
• If Type WR < 40% AND Avg R < 0.8: Type DISABLED
• If Type WR ≥ 40% OR Avg R ≥ 0.8: Type RE-ENABLED
Example: If OF signals consistently lose while DIV signals win, system automatically stops taking OF signals and focuses on DIV.
Warmup Period:
First 30 trades (default) gather baseline data with relaxed thresholds. After warmup, full adaptation activates.
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COMPLETE POSITION MANAGEMENT
Dynamic Position Sizing:
Base Contracts = (Equity × Risk%) / (Stop Distance × Point Value)
Then multiplied by:
• Score Bonus: Up to +50% for highest-scoring signals
• Signal Type Bonus: DIV signals +50%, LIQ signals +30%
• Streak Multiplier: After 3 losses: 50% reduction, After 3 wins: 25% increase
Example: High-scoring DIV signal on winning streak = 3-4× larger position than weak STD signal on losing streak
Entry Modes:
Single Entry: Full size at once, exit at TP2 (or partial at TP1)
Tiered Entry: 40% at TP1 (2R), 60% at TP2 (4R adaptive)
Stop Management (3 Modes):
Structural: Beyond recent 20-bar swing high/low + buffer
ATR: Fixed ATR multiplier (default: 2.0 ATR, then adapts)
Hybrid: Attempt structural, fallback to ATR if invalid
Plus:
• Breakeven: Move stop to entry ± 1 tick when 1R reached
• Trailing: Activate when 1.5R reached, trail 0.8R behind price
• Max Loss Override: Cap dollar risk regardless of calculation
Target Management:
Fixed Mode: TP1 = 2R, TP2 = 4R
Adaptive Mode: TP1 = 2R fixed, TP2 adapts based on MFE analysis
Partial Exits: Default 50% at TP1, remainder at TP2 or trailing stop
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COMPREHENSIVE RISK CONTROLS
Daily Limits:
• Max Daily Loss: $2,000 default → HALT trading
• Max Daily Trades: 15 default → prevent overtrading
• Max Concurrent: 2 positions → limit correlation risk
Session Controls:
• Trading Hours: Specify start/end times + timezone
• Weekend Block: Optional (avoid crypto weekend volatility)
Prop Firm Protection (Live Trading Only):
• Daily Loss Limit: Stricter of general or prop limit ($1,000 default)
• Trailing Drawdown: Tracks high water mark, HALTS if breach ($2,500 default)
• Reset on Reload: Optional high water mark reset
Liquidity Filter (Optional):
• Time-Based: Avoid first/last X minutes of session
• Volume-Based: Require minimum volume ratio (0.5× average default)
Market Regime Filter (Optional):
• ADX-Based: Only trade when ADX > threshold (trending)
• Block: Consolidation (ADX < 20) or Transitional regimes
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REAL-TIME DASHBOARD
MPI Gauge Section:
Shows current pressure: 🟢 STRONG BUY (+0.5 to +1.0), 🟩 BUY PRESSURE (+0.2 to +0.5), ⚪ NEUTRAL (-0.2 to +0.2), 🟥 SELL PRESSURE (-0.5 to -0.2), 🔴 STRONG SELL (-1.0 to -0.5)
Signal Status Section:
• Active Signals: "🔴 DIV SELL" (purple background), "🟢 LIQ BUY" (orange), "🔵 OF SELL" (aqua), "🟢 STD BUY" (green)
• Warnings: "⚠️ BEAR WARNING" / "⚠️ BULL WARNING" (yellow) — setup forming, not full signal
• Scanning: "⏳ SCANNING..." (gray) — no signal active
• Confidence Bar: Visual score display "██████░░░░" showing confluence strength
Divergence Indicator:
"🟣 BEARISH DIVERGENCE" or "🟡 BULLISH DIVERGENCE" when detected
Performance Statistics:
• Overall Win Rate: Wins/Total with visual bar (lime ≥70%, yellow 50-70%, red <50%)
• Directional: Bearish vs Bullish win rates separately
• By Signal Type: DIV / LIQ / OF / STD individual performance tracking
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KEY PARAMETERS EXPLAINED
🎯 Pressure Engine:
• MPI Period (5-50, default: 14): Smoothing period — lower for scalping, higher for position trading
• MPI Sensitivity (0.5-5.0, default: 1.5): Amplification — lower compresses range, higher more extremes
🔍 Detection:
• Wick Threshold (0.3-0.9, default: 0.6): Minimum wick-to-range ratio for rejection
• Volume Spike (1.2-3.0x, default: 2.0): Multiplier above average for spike
• Aggressive Ratio (0.5-0.9, default: 0.65): Close position in range for aggressive orders
• Velocity Threshold (1.0-5.0 ATR, default: 2.0): ATR-normalized move for exhaustion
• MPI Extreme (0.5-0.95, default: 0.7): Level considered overbought/oversold
⚖️ Weights:
• Divergence: 3.0 (highest — pressure weakening)
• Liquidity: 2.5 (second — stop hunts)
• Order Flow: 2.0 (institutional positioning)
• Velocity: 1.5 (momentum exhaustion)
• Wick: 1.5 (rejection patterns)
• Volume: 1.0 (lowest — can be manipulated)
🎚️ Thresholds:
• Premium (4.0-15.0, default: 6.0): Score for DIV/LIQ/OF signals
• Standard (2.0-8.0, default: 4.0): Score for STD signals
• Warning Confluence (1-4, default: 2): Factors for yellow diamond warnings
🧬 Adaptive:
• Enable (true/false, default: true): Master learning switch
• Warmup Trades (5-100, default: 30): Data collection before adaptation
• Lookback (20-200, default: 50): Recent trades for performance calculation
• Adapt Speed (0.05-0.50, default: 0.15): Parameter adjustment rate
• Target Win Rate (30-70%, default: 45%): Optimization goal
• Target R-Multiple (0.5-5.0, default: 1.5): Risk/reward goal
💼 Position:
• Base Risk (0.1-10.0%, default: 1.5%): Equity risked per trade
• Max Contracts (1-100, default: 10): Hard position limit
• DIV Bonus (1.0-3.0x, default: 1.5): Size multiplier for divergence signals
• LIQ Bonus (1.0-3.0x, default: 1.3): Size multiplier for liquidity signals
🛡️ Stops:
• Mode (Structural/ATR/Hybrid, default: ATR): Stop placement method
• ATR Multiplier (0.5-5.0, default: 2.0): Stop distance in ATRs (adapts)
• Breakeven at (0.3-3.0R, default: 1.0R): When to move stop to entry
• Trail Trigger (0.5-5.0R, default: 1.5R): When to activate trailing
• Trail Offset (0.3-3.0R, default: 0.8R): Distance behind price
🎯 Targets:
• Mode (Fixed/Adaptive, default: Fixed): Target placement method
• TP1 (0.5-10.0R, default: 2.0R): First target for partial exit
• TP2 (1.0-15.0R, default: 4.0R): Final target (adapts in adaptive mode)
• Partial % (0-100%, default: 50%): Position percentage to exit at TP1
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PROFESSIONAL USAGE PROTOCOL
Phase 1: Paper Trading (Weeks 1-4)
• Setup: Default settings, all adaptive features ON, 0.5% base risk
• Goal: 30+ trades for warmup, observe MPI behavior and signal frequency
• Adjust: MPI sensitivity if stuck near neutral or always at extremes
• Threshold: Raise/lower if too many/few signals
Phase 2: Micro Live (Weeks 5-8)
• Requirements: WR >43%, at least one type >55%, Avg R >0.8
• Setup: 10-25% intended size, 0.5-1.0% risk, 1 position max
• Focus: Execution quality, match dashboard performance
• Journal: Screenshot every signal, track outcomes
Phase 3: Full Scale (Month 3+)
• Requirements: WR >45% over 50+ trades, Avg R >1.2, drawdown <15%
• Progression: Months 3-4 (1.0-1.5% risk), 5-6 (1.5-2.0%), 7+ (1.5-2.5%)
• Maintenance: Weekly dashboard review, monthly deep analysis
• Warnings: Reduce size if WR drops >10%, consecutive losses >7, or drawdown >20%
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DEVELOPMENT INSIGHTS
The Pressure Insight: Emerged from analyzing intrabar volume distribution. Within every candlestick, volume accumulates at different price levels. MPI deconstructs this to reveal conviction behind moves.
The Confluence Challenge: Early versions using MPI extremes alone achieved only 42% win rate. The seven-factor confluence system emerged from testing which combinations produced reliable reversals. Divergence + liquidity sweep became the strongest setup (68% win rate in isolation).
The Adaptive Breakthrough: Per-signal-type performance tracking revealed DIV signals winning at 71% while OF signals languished at 38%. Adaptive filtering disabled weak types automatically, recovering win rate from 39% to 54% during the 2022 volatility spike.
The Position Sizing Revelation: Dynamic sizing based on signal quality and recent performance increased Sharpe ratio from 1.2 to 1.9 while decreasing max drawdown from 18% to 12% over 500 trades. Bigger positions on better signals = geometric edge amplification.
The Risk Control Lesson: Testing with $50K accounts revealed catastrophic failure modes: daily loss cascades, overtrading commission bleed, weekend gap blowouts. Multi-layer controls (daily limits, concurrent caps, prop firm protection) became essential.
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LIMITATIONS & ASSUMPTIONS
What This Is NOT:
• NOT a Holy Grail: Typical performance 52-58% WR, 1.3-1.8 avg R, probabilistic edge
• NOT Predictive: Identifies high-probability conditions, doesn't forecast prices
• NOT Market-Agnostic: Best on liquid auction-driven markets (futures, forex, major crypto)
• NOT Hands-Off: Requires oversight for news events, gaps, system anomalies
• NOT Immune to Regime Changes: Adaptive engine helps but cannot predict black swans
Critical Assumptions:
1. Volume reflects intent (valid for regulated markets, violated by wash trading)
2. Pressure extremes mean-revert (true in ranging/exhaustion, fails in paradigm shifts)
3. Stop hunts exist (valid in liquid markets, less in thin/random walk periods)
4. Past patterns persist (valid in stable regimes, fails when structure fundamentally changes)
Works Best On: Major futures (ES, NQ, CL), liquid forex pairs (EUR/USD, GBP/USD), large-cap stocks, BTC
Performs Poorly On: Low-volume stocks, illiquid crypto pairs, news-driven headline events
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RISK DISCLOSURE
Trading futures, forex, and leveraged instruments involves substantial risk of loss and is not suitable for all investors. Past performance is not indicative of future results. This strategy is provided for educational purposes only and should not be construed as financial advice.
The adaptive engine learns from historical data—there is no guarantee that past relationships will persist. Market conditions change, volatility regimes shift, and black swan events occur. No strategy can eliminate the risk of loss.
Users must validate performance on their specific instruments and timeframes before risking capital. The developer makes no warranties regarding profitability or suitability. Users assume all responsibility for trading decisions and outcomes.
"The market doesn't care about your indicators. It only cares about pressure—who's willing to pay more, who's desperate to sell. Find the exhaustion. Trade the reversal. Let the system learn the rest."
Taking you to school. — Dskyz, Trade with insight. Trade with anticipation.
Поиск скриптов по запросу "adx"
Adaptive Volatility StrategyHere's a professional description for publishing your indicator:
Adaptive Volatility Strategy - Multi-Indicator Confirmation System
A comprehensive trading strategy that combines multiple technical indicators with adaptive volatility filtering to identify high-probability trade setups while managing risk effectively.
Key Features:
Multi-Indicator Confirmation: Combines RSI, MACD, and ADX signals with trend analysis (20/50/200 EMAs) to reduce false signals and improve entry quality
Adaptive Volatility Filter: Intelligent volatility detection using ATR that can filter trades based on either fixed percentage thresholds or multiples of average volatility, helping avoid unstable market conditions
Flexible Session Filtering: Optional time-based trading windows with customizable hours and trading days to align with your preferred market sessions
Smart Signal Generation: Requires minimum signal confirmations before entering trades, with separate tracking for directional and confirmation signals
Comprehensive Risk Management: Configurable take profit and stop loss percentages with automatic position exits on signal reversals
Real-Time Dashboard: Visual display showing current indicator values, signals, volatility levels, and trend direction for quick market assessment
Strategy Logic:
Enters long when bullish signals outnumber bearish signals (minimum 2 signals) with ADX confirmation
Enters short when bearish signals outnumber bullish signals with ADX confirmation
All trades must pass volatility and session filters when enabled
Exits on take profit, stop loss, or signal reversal
Best Used For:
Swing trading on 1H to daily timeframes
Markets with clear trending behavior
Traders who prefer multiple confirmations before entering positions
Note: This is a complete strategy with entry/exit logic. Backtest thoroughly and adjust parameters for your specific instrument and timeframe before live trading.
[Bybit BTCUSD.P] 7Years Backtest Results. 2,609% +Non-Repainting
📊 I. Strategy Overview: Trust Backed by Numbers
The ADX Sniper v12 strategy has been rigorously tested over 7 years, from November 14, 2018 to November 8, 2025, spanning every major cycle of the Bitcoin BTCUSD.P futures market. This strategy successfully balances two often-conflicting goals: maximizing profitability while minimizing volatility, all supported by objective performance data.
This strategy has been validated across all Bitcoin (BTCUSD.P) futures market cycles over a 7-year period.
■ Visual Proof: Bar Replay Simulation
The chart above demonstrates actual entry and exit points captured via TradingView's Bar Replay feature. The green rectangle highlights the core profitable trading zone, showing where the strategy successfully captured sustained uptrends. This visual evidence confirms:
1) Confirmed buy/sell signals with exact execution prices (marked in red and blue)
2) No repainting or signal distortion after candle close
3) Consistent performance across multiple market cycles within the highlighted zone
💰 Core Performance Metrics:
Cumulative Return : 2,609.14% (compounded growth over 7 years)
Maximum Drawdown (MDD) : 6.999% (preserving over 93% of capital)
Average Profit/Loss Ratio : 8.003 (industry-leading risk-reward efficiency)
Total Trades : 24 (focused exclusively on high-conviction opportunities)
Sortino Ratio : 11.486 (mathematically proving robustness and stability)
✅ This strategy has been validated across all Bitcoin BTCUSD.P futures market cycles over a 7-year period.
🛡️ II. Core Philosophy: Cut Losses Short, Let Profits Run
Why MDD Stays Below 7% in a Volatile Market
The crypto futures market typically experiences daily volatility exceeding 10%, with most strategies enduring drawdowns between 30% and 50%. In stark contrast, this strategy has never exceeded a 7% account loss over seven years. This exceptional low MDD is achieved through deliberate design mechanisms, not luck:
🎯 Entry Filtering: The 'ADX Pop-up Filter' is the core component. It enables the strategy to strictly avoid trading when market conditions indicate major reversals or consolidation phases, thereby minimizing exposure to high-risk zones.
🏛️ Capital Preservation Priority: The strategy prioritizes investor psychological stability and capital preservation over pursuing maximum potential returns.
The Power of an 8.003 Profit Factor
The Profit Factor measures the ratio of total profitable trades to total losing trades. It's the most critical metric for assessing risk-adjusted returns.
A Profit Factor of 8.003 means that for every dollar lost, the strategy earns an average of eight dollars. This demonstrates the efficiency of a true trend-following strategy:
Cutting losses quickly (averaging $177,419 USD loss per trade)
Riding winners for maximum extension (averaging $1,419,920 USD profit per trade)
🎯 III. Strategy Reliability and Structural Edge
The Secret of 24 Trades in 7 Years
Only 24 trades over 7 years signifies that this strategy ignores 99% of market volatility and targets only the 1% of 'most certain buying cycles'. This approach eliminates the drag from excessive trading:
❌ No commission bleed
❌ No slippage erosion
❌ No psychological wear from overtrading
📈 Long-Term Trend Following: The strategy analyzes Bitcoin's long-term price cycles to capture the onset of massive trends while remaining undisturbed by short-term market noise.
Non-Repainting Structure: Alignment of Reality and Simulation
🎬 Non-Repainting Proof Video Available
※↑ "If you wish, I can also show you a video as evidence of the non-repainting throughout the 7 years."
✅ Real-Time Trading Reliability: This strategy is built with a non-repainting structure, generating buy/sell signals only after each candle's closing price is confirmed.
✅ Preventing Data Exaggeration: This design ensures that backtest results do not 'repaint' or distort past performance, guaranteeing high correlation between simulated results and actual live trading environments.
✅ Live Trading Advantage: While simulations use closing prices, live trading may allow entry at more favorable prices before candle close, potentially yielding even better execution than backtest results.
📈 IV. Performance Summary (November 14, 2018 - November 8, 2025)
|| Metric | Value |
|--------|-------|
| Initial Capital | $1,000,000 |
| Net Profit | +$26,091,383.74 |
| Cumulative Return | +2,609.14% |
| Maximum Drawdown | -6.999% |
| Total Trades | 24 |
| Winning Trades | 19 (79.17%) |
| Losing Trades | 5 (20.83%) |
| Avg Winning Trade | +$1,419,920.16 |
| Avg Losing Trade | -$177,419.86 |
| Profit Factor | 8.003 |
| Sortino Ratio | 11.486 |
| Win/Loss Ratio | 8.003 |
⚙️ Default Settings:
Slippage: 0 ticks
Commission: 0.333% (Bybit standard)
👥 V. Who Is This Strategy For?
✅ Long-term Bitcoin investors seeking stable, low-drawdown returns
✅ Traders tired of overtrading who prefer surgical, sniper-style precision entries
✅ Investors seeking psychological stability by avoiding large account swings
✅ Data-driven decision makers who value proven performance over marketing claims
🔒 VI. Access & Disclaimer
🔐 Access Type: Invite-Only (Protected Source Code)
💬 How to Get Access: Send a private message or leave a comment below
⚠️ Important Disclaimer:
Past performance does not guarantee future results. Cryptocurrency and futures trading involve substantial risk of loss. This strategy is provided for educational and informational purposes only. Users should conduct their own research and consult with a financial advisor before making investment decisions. The author is not responsible for any financial losses incurred from using this strategy.
🏷️ VII. Tags
Bitcoin |Bitcoin | BTCUSD | BTCUSD.P | Bybit | DailyChart | LongTerm | TrendFollowing | ADX | NonRepainting | Strategy | BacktestProven | SevenYears | LowDrawdown | HighProfitFactor | StableReturns | CapitalPreservation | Ichimoku | DMI | SuperTrend | TechnicalAnalysis | Volatility | RiskManagement | AutoTrading | Futures | PerpetualFutures | AlgorithmicTrading | SystematicTrading | DataDriven | InviteOnly | ProtectedScript | SnipperTrading | HighConviction | MDD | SortinoRatio
📌 Note: This strategy is designed exclusively for Bybit BTCUSD.P perpetual futures on the 1-day (daily) timeframe. Performance may vary significantly on other symbols or timeframes.
AMF PG Strategy v2.3AMF PG Strategy v2.3
1. Core Philosophy: Filtered and Volatility-Aware Trend Following
"AMF PG Strategy" is an advanced trend-following system designed to adapt to the dynamic nature of modern markets. The strategy's core philosophy is not just to follow the trend but also to wait for the right conditions to enter the market.
This is not a "black box." It is a rules-based framework that gives the user full control over various market filters. By requiring multiple conditions to be met simultaneously, the strategy aims to filter out low-quality signals and focus only on high-probability trend opportunities.
2. Core Engine: AMF PG Trend Following
At the heart of the strategy is a proprietary, volatility-aware trend-following mechanism called AMF PG (Praetorian Guard). This engine operates as follows:
Dynamic Bands: Creates a dynamic upper and lower band around the price that is constantly recalculated. The width of these bands is not fixed; It dynamically adjusts based on recent market volatility, volume flow, and price expansion. This adaptive structure allows the strategy to adapt to both calm and high-volatility markets.
Entry Signals: A buy signal is triggered when the price rises above the upper band. A sell signal is triggered when the price falls below the lower band. However, these signals are executed only when all the active filters described below give the green light.
Trailing Stop-Loss: When a position is entered, the opposite band automatically acts as a trailing stop-loss level. For example, when a buy position is opened, the lower band follows the price as a stop-loss. This allows for profit retention and trend continuation.
3. Multi-Layered Filter System: Understanding the Market
The power of this strategy comes from its modular filter system, which allows the user to filter market conditions based on their own analysis. Each filter can be enabled or disabled individually in the settings:
Filter 1: Trend Strength (ADX Filter): This filter confirms whether there is a strong trend in the market. It uses the ADX (Average Directional Index) indicator and only allows trades if the ADX value is above a certain threshold. This helps avoid trading in weak or directionless markets. It also confirms the direction of the trend by checking the position of the DMI (+DI and -DI) lines.
Filter 2: Sideways Market (Chop Index Filter): This filter determines whether the market is excessively choppy or directionless. Using the Chop Index, this filter aims to protect against fakeouts by blocking trades when the market is highly indecisive.
Filter 3: Market Structure (Hurst Exponent Filter): This is one of the strategy's most advanced filters. It analyzes the current market behavior using the Hurst Exponent. This mathematical tool attempts to determine whether a market tends to trend (permanent), tends to revert to the mean (anti-permanent), or moves randomly. This filter ensures that signals are generated only when market structure supports trending trades.
4. Risk Management: Maximum Drawdown Protection
This strategy includes a built-in capital protection mechanism. Users can specify the percentage of their capital they will tolerate to decline from its peak. If the strategy's capital reaches this set drawdown limit, the protection feature is activated, closing all open positions and preventing new trades from being opened. This acts as an emergency brake to protect capital against unexpected market conditions.
5. Automation Ready: Customizable Webhook Alerts
The strategy is designed for traders who want to automate their signals. From the Settings menu, you can configure custom alert messages in JSON format, compatible with third-party automation services (via Webhooks).
6. Strategy Backtest Information
Please note that past performance is not indicative of future results. The published chart and performance report were generated on the 4-hour timeframe of the BTCUSD pair with the following settings:
Test Period: January 1, 2016 - October 31, 2025
Default Position Size: 15% of Capital
Pyramiding: Closed
Commission: 0.0008
Slippage: 2 ticks (Please enter the slippage you used in your own tests)
Testing Approach: The published test includes 423 trades and is statistically significant. It is strongly recommended that you test on different assets and timeframes for your own analysis. The default settings are a template and should be adjusted by the user for their own analysis.
AIBTC Automated Trading Strategy🧠 AIBTC Automated Trading Strategy
Overview:
The AIBTC Automated Trading Strategy is a fully autonomous system designed for 4-hour timeframes (4H). It dynamically identifies support and resistance levels based on price action, and automatically executes trades when valid breakouts occur above resistance or below support. The system adapts in real time to changing market volatility, ensuring stable performance across different market conditions.
⚙️ Strategy Logic
Dynamic Support & Resistance Detection
The strategy uses an adaptive Pivot Point algorithm that adjusts parameters according to market volatility (ATR) and price deviation (Standard Deviation).
When volatility increases, the algorithm automatically widens its detection range and recalibrates channel width for better accuracy.
All support and resistance levels are detected dynamically — no manual configuration is required.
Trend & Volatility Filtering
The system applies ADX (Average Directional Index) to measure trend strength.
When ADX > 25, only strong levels are considered valid to avoid noise during weak trends.
ATR-based volatility adjustments automatically optimize lookback periods and detection sensitivity.
Breakout Signal Detection
A long position is triggered when price breaks above resistance with a valid breakout margin (default filter: 0.1%).
A short position is triggered when price breaks below support with the same breakout filter applied.
This breakout filter effectively minimizes false breakouts and improves signal quality.
Fully Automated Execution
The system is designed for both backtesting and live simulation.
All buy/sell entries are executed automatically without manual input once conditions are met.
🕒 Recommended Timeframe
4-hour (4H) candles
Suitable for short-to-medium term swing trading, balancing signal precision and trade frequency.
📊 Key Features
✅ Fully Automated — Executes long/short positions on valid breakouts
✅ Adaptive Parameters — Automatically adjusts to changing volatility
✅ Trend-Aware Filtering — Uses ADX to avoid false signals in ranging markets
✅ Multi-Asset Compatibility — Works on BTC, ETH, or any high-liquidity instrument
⚠️ Disclaimer
This strategy is a technical and algorithmic tool, not financial advice.
Always backtest and simulate before using it on live markets.
During periods of extreme volatility, signals may delay or show false breakouts — consider using stop-loss mechanisms accordingly.
Lavender Multi-Signal Momentum StrategyOverview
The Lavender strategy is a sophisticated momentum-based trading system specifically optimized for Tesla (TSLA) on the 15-minute timeframe. It combines multiple technical signals to identify high-probability long entries during strong trending conditions.
Key Features
🎯 Multi-Signal Entry System
The strategy uses 4 distinct signal types that can be enabled/disabled individually:
Supertrend Pullback (Default: ON)
Identifies pullbacks in uptrends using Supertrend (ATR: 9, Factor: 0.5)
Enters when price retests EMA9-20 zone during bullish Supertrend
Donchian Breakout + Z-Score Momentum (Default: ON)
53-period Donchian channel breakouts
Combined with 35-period Z-Score momentum filter
Only triggers with positive momentum confirmation
Keltner Squeeze Expansion (Default: OFF)
Detects volatility squeeze conditions
Enters on breakout above Keltner Channel after compression
Opening Range Breakout (ORB) (Default: ON)
Tracks first hour range (9:30-10:30 AM)
Triggers on breakout above opening range high
🧭 Trend Regime Filter
EMA Trend Filter: 20 EMA > 100 EMA (Default: ON)
ADX Strength Filter: ADX > 22 with 15/13 smoothing (Default: ON)
Only trades when both trend conditions align
💵 Advanced Risk Management
Risk per Trade: 2.0% of capital (Default)
ATR-Based Stop Loss: 15-period ATR × 1.6 multiplier
Risk/Reward Ratio: 4:1 (Default)
Position Sizing: Automatic based on stop distance
Capital Options: Dynamic equity or fixed capital ($200,000 default)
⚙️ Execution Control
Candle Close Entries: Prevents intrabar noise (Default: ON)
Candle Close Exits: Stop loss and take profit only at bar close (Default: ON)
Trading Session: 9:00 AM - 4:00 PM (Default)
Trading Days: Monday-Saturday (Default: 123456)
Default Settings Summary
ParameterDefault ValuePurposeRisk per Trade2.0%Capital risk percentageATR Length15Stop loss calculationATR Multiplier1.6Stop distance factorRisk/Reward4.0Take profit multiplierEMA Fast20Short-term trendEMA Slow100Long-term trendADX Threshold22Minimum trend strengthMin Signals Required1Entry trigger thresholdInitial Capital$200,000Backtesting capital
How It Works
Trend Confirmation: Checks EMA alignment and ADX strength
Signal Generation: Scans for active momentum signals
Entry Execution: Enters when minimum signal threshold is met
Risk Management: Calculates position size based on ATR stop
Exit Management: Manages trades with 4:1 risk/reward ratio
Best Use Cases
Tesla (TSLA) on 15-minute charts
Trending market conditions
Intraday momentum trading
Markets with clear directional bias
Visual Indicators
Blue Line: 100-period EMA (trend filter)
Green/Red Line: Supertrend indicator
Teal Line: Donchian channel high
Purple Triangles: Keltner breakout signals
Orange Arrows: Opening range breakouts
Green Dots: Combined entry signals
Red/Green Lines: Active stop loss and take profit levels
Risk Disclaimer
This strategy is optimized for Tesla's specific price behavior on 15-minute timeframes. Past performance does not guarantee future results. Always test thoroughly and manage risk appropriately.
Created by kevloewe - Specialized for TSLA 15M momentum trading
AI KNN-Dual SuperTrend MTF - by Trading Pine Lab🇬🇧
The AI KNN-Dual SuperTrend MTF is a next-generation trading strategy that merges two higher-timeframe SuperTrends with dual KNN (K-Nearest Neighbors) classifiers, an ADX/DMI filter, and a Pivot Percentile bias module. This layered architecture ensures stronger signal confirmation by requiring consensus across AI models, multi-timeframe SuperTrends, and statistical filters.
Entries occur only when both SuperTrends align with bullish or bearish KNN labels, while the ADX/DMI filter validates momentum. Exits are managed dynamically with adaptive trailing stops (ST ± ATR × factor) or when market conditions flip according to percentile bias.
All parameters are fully configurable:
-Trading direction filter: Long / Short / Both.
-KNN classifiers: neighbors (K), dataset size (N), smoothing lengths.
-Dual SuperTrend: higher timeframes, ATR length, ATR factor, baseline type.
-ADX/DMI filter: customizable length and timeframe.
-Pivot Percentile module: multi-scale statistical bias.
-Visualization: AI markers, ribbons, aura lines, and per-trend coloring.
HMK-2 | PCA-1 + Rejim + Chebyshev + VWAP (Input'lu, v6)📌 HMK-2 | PCA-1 + Regime + Chebyshev + VWAP Strategy
1️⃣ Core Structure
Instead of relying on a single indicator, this system uses the Z-Score normalized average of three oscillators (RSI, MFI, ROC).
Signal (PCA-1):
RSI(14), MFI(14), ROC(5) → each is converted into a z-score.
Their average becomes the “composite signal,” our PCA-1 value.
Trend direction: If the Z-score EMA is rising → trend UP. If falling → trend DOWN.
2️⃣ Side Filters
Regime Filter (ADX + EMA)
ADX is calculated manually.
If ADX > 20 → trend exists → a 50-period EMA of this value smooths it.
This turns “trend regime” into a probability between 0–1.
Chebyshev Filter
A return series is checked against mean ± k*sigma bands.
If the return is within this band → valid signal. Extreme moves are filtered out.
VWAP Filter
Long trades: price must be above VWAP.
Short trades: price must be below VWAP.
Trades are only taken on the correct side of institutional cost averages.
3️⃣ Entry Conditions
Long:
PCA-1 signal crosses above threshold.
Trend Up + Regime OK + Chebyshev OK + Above VWAP.
Short:
PCA-1 signal crosses below threshold.
Trend Down + Regime OK + Chebyshev OK + Below VWAP.
4️⃣ Exit Mechanism
Main Exit: ATR-based stop/target.
Stop = entry price – ATR × (SL factor).
Take profit = entry price + ATR × (TP factor).
Additional Exit:
If price crosses to the opposite side of VWAP.
If PCA-1 signal crosses zero.
👉 Prevents trades from being locked, makes exits adaptive.
5️⃣ Labels / Visualization
AL / SHORT → entry points.
SAT / COVER → exit points.
VWAP line plotted in blue.
🧩 Strategy Features
Optimizable parameters:
Z-window (zWin)
Threshold
Chebyshev factor
ATR stop/target multipliers
This system works with:
Disciplined core (PCA-1 signal)
Triple protection (Regime + Chebyshev + VWAP)
Adaptive exits (ATR + VWAP/signal cross)
👉 Not a “single-indicator robot,” but a multi-filtered trade direction engine.
💡 Final Note
This is a base model of the system — open for further development.
I’ve shared the logic to give you a roadmap.
If you spot errors, fix them → that’s how you’ll improve it.
Don’t waste time asking me questions — refine and build it better yourselves.
Wishing you profitable trades. Stay well 🙏
SMC Breaker+Liquidity + HTF EMA — v61️⃣ Core Idea
This is a Smart Money Concept (SMC)
It looks for liquidity sweeps followed by price moving back in the opposite direction (breaker block behavior), while trading only in the direction of the higher timeframe (HTF) trend.
2️⃣ Components
A. Higher Timeframe EMA Bias
We take an EMA (default length: 50) from a higher timeframe (default: 4H).
If price is above that EMA → bias is bullish (we only take longs).
If price is below that EMA → bias is bearish (we only take shorts).
This keeps trades aligned with the bigger picture trend
B. Liquidity Sweep Detection
We find the highest high and lowest low over the past 5 bars
A sweep high happens when:
Price breaks above a recent high (liquidity grab), but
Closes back below it (false breakout).
A sweep low happens when:
Price breaks below a recent low, but
Closes back above it.
This indicates stop hunting — whales often trigger these before reversing price.
C. Breaker Block Logic
If a sweep low occurs and bias is bullish → BUY.
If a sweep high occurs and bias is bearish → SELL.
D. Optional ADX Filter
ADX checks market strength (trendiness).
If enabled, it only trades when ADX > threshold (default 20).
This avoids ranging/choppy markets.
3️⃣ Risk Management
Stop Loss (SL):
For longs → ATR(14) below the entry candle low.
For shorts → ATR(14) above the entry candle high.
Take Profit (TP):
SL distance × Risk:Reward ratio (default 3:1).
This means every win can be 3x bigger than a loss.
Strategy Designer
**Strategy Designer**
This script is a highly modular, multi-indicator strategy framework that allows users to enable or disable a wide range of signals for precision trading control. Key components include:
* **AlphaTrend**: A dynamic trailing filter built using ATR volatility combined with directional input from RSI or MFI. It helps define bullish or bearish regimes more responsively than fixed moving averages.
* **Inverse Fisher Transformed Indicators**: The script normalizes and transforms traditional oscillators (CCI, RSI, Stochastic, MFI) using the inverse Fisher transform. This boosts signal clarity by compressing values between -1 and +1, making crossovers and trend thresholds more defined.
* **Composite Indicators**: RSI + MFI and CCI + Stoch are averaged to produce smoother, noise-reduced momentum signals. These are ideal for filtering or confirming entries across multiple timeframes or asset types.
* **Volatility & Trend Filters**:
* **ATR Trend Filter**: Confirms trades only when short-term ATR exceeds its smoothed average, indicating rising volatility or breakout conditions.
* **ADX Filter**: Includes two types of filters—ADX vs its MA and ADX vs threshold—to ensure trade entries only happen during clear trend strength.
* **Moving Averages**: Multiple MA types (SMA, EMA, HMA, WMA, DEMA, TEMA, T3, VWMA) are available for crossover and trend conditions. The structure supports general trend, long-trend, and short-trend configurations independently.
* **Volume Filter**: An optional condition to confirm that volume exceeds a moving average, helping avoid trades in low-liquidity periods.
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**Exit Logic & Risk Management**
This strategy offers powerful and flexible exit controls to suit various risk profiles:
* **Fixed TP/SL**: You can activate classic percentage-based take profit and stop loss levels.
* **ATR-Based Floating Stop**: Dynamically calculates trailing stops based on recent volatility using a smoothed ATR, offering better adaptability in trending environments.
* **Signal-Based Exits**: Includes the ability to exit trades when the original entry conditions reverse (e.g. AlphaTrend flips, Fisher crosses back, MA cross reverses, etc.).
* **Modular Exit Triggers**: Each indicator (CCI, RSI, MFI, Stoch, AlphaTrend, Composite Indicators) can independently trigger an exit based on reversal signals or loss of trend strength.
* **Multi-Layered Protection**: Combine multiple exits (e.g. ATR + AlphaTrend + RSI reversal) to minimize drawdowns and prevent false breakouts.
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This tool is designed for advanced traders and strategy developers who want granular control over both entries and exits. Every module is toggleable, allowing for endless backtest scenarios and tailored setups to match different market conditions or asset classes. Whether you're trend-following or counter-trading reversals, this strategy adapts.
Timeshifter Triple Timeframe Strategy w/ SessionsOverview
The "Enhanced Timeshifter Triple Timeframe Strategy with Session Filtering" is a sophisticated trading strategy designed for the TradingView platform. It integrates multiple technical indicators across three different timeframes and allows traders to customize their trading Sessions. This strategy is ideal for traders who wish to leverage multi-timeframe analysis and session-based trading to enhance their trading decisions.
Features
Multi-Timeframe Analysis and direction:
Higher Timeframe: Set to a daily timeframe by default, providing a broader view of market trends.
Trading Timeframe: Automatically set to the current chart timeframe, ensuring alignment with the trader's primary analysis period.
Lower Timeframe: Set to a 15-minute timeframe by default, offering a granular view for precise entry and exit points.
Indicator Selection:
RMI (Relative Momentum Index): Combines RSI and MFI to gauge market momentum.
TWAP (Time Weighted Average Price): Provides an average price over a specified period, useful for identifying trends.
TEMA (Triple Exponential Moving Average): Reduces lag and smooths price data for trend identification.
DEMA (Double Exponential Moving Average): Similar to TEMA, it reduces lag and provides a smoother trend line.
MA (Moving Average): A simple moving average for basic trend analysis.
MFI (Money Flow Index): Measures the flow of money into and out of a security, useful for identifying overbought or oversold conditions.
VWMA (Volume Weighted Moving Average): Incorporates volume data into the moving average calculation.
PSAR (Parabolic SAR): Identifies potential reversals in price movement.
Session Filtering:
London Session: Trade during the London market hours (0800-1700 GMT+1).
New York Session: Trade during the New York market hours (0800-1700 GMT-5).
Tokyo Session: Trade during the Tokyo market hours (0900-1800 GMT+9).
Users can select one or multiple sessions to align trading with specific market hours.
Trade Direction:
Long: Only long trades are permitted.
Short: Only short trades are permitted.
Both: Both long and short trades are permitted, providing flexibility based on market conditions.
ADX Confirmation:
ADX (Average Directional Index): An optional filter to confirm the strength of a trend before entering a trade.
How to Use the Script
Setup:
Add the script to your TradingView chart.
Customize the input parameters according to your trading preferences and strategy requirements.
Indicator Selection:
Choose the primary indicator you wish to use for generating trading signals from the dropdown menu.
Enable or disable the ADX confirmation based on your preference for trend strength analysis.
Session Filtering:
Select the trading sessions you wish to trade in. You can choose one or multiple Sessions based on your trading strategy and market focus.
Trade Direction:
Set your preferred trade direction (Long, Short, or Both) to align with your market outlook and risk tolerance. You can use this feature to gauge the market and understand the possible directions.
Tips for Profitable and Safe Trading:
Recommended Timeframes Combination:
LT: 1m , CT: 5m, HT: 1H
LT: 1-5m , CT: 15m, HT: 4H
LT: 5-15m , CT: 4H, HT: 1W
Backtesting:
Always backtest the strategy on historical data to understand its performance under various market conditions.
Adjust the parameters based on backtesting results to optimize the strategy for your specific trading style.
Risk Management:
Use appropriate risk management techniques, such as setting stop-loss and take-profit levels, to protect your capital.
Avoid over-leveraging and ensure that you are trading within your risk tolerance.
Market Analysis:
Combine the script with other forms of market analysis, such as fundamental analysis or market sentiment, to make well-rounded trading decisions.
Stay informed about major economic events and news that could impact market volatility and trading sessions.
Continuous Monitoring:
Regularly monitor the strategy's performance and make adjustments as necessary.
Keep an eye on the results and settings for real-time statistics and ensure that the strategy aligns with current market conditions.
Education and Practice:
Continuously educate yourself on trading strategies and market dynamics.
Practice using the strategy in a demo account before applying it to live trading to gain confidence and understanding.
Arena-Hub-DC-Strategy V3.1This script must be individually configured for each cryptocurrency. After monitoring several coins, I’ve realized that each one requires its own unique setup. There's no “one-size-fits-all” — and different timeframes require different configurations as well.
⚠️ Risk management is essential.
If you're not familiar with proper risk management, please do not use this script. Make sure to configure your commission and slippage settings appropriately, as these are critical for realistic backtesting results. The Stop Loss and Take Profit levels are not automated — they must be adjusted by the user.
This script is not a financial advisor. It won't make risk or profit-related decisions for you. It's a tool designed to help identify potential entries, trends, and exit opportunities — but all final decisions must be made by the trader.
The default settings are only examples. You’ll need to customize them for each crypto asset and timeframe to make the strategy truly work for your style and market conditions.
The script evaluates:
The positioning of two RSIs relative to each other
Their alignment with a customizable RSI-EMA
The values of EMAs and the ATR (volatility)
A custom weighting system using ADR and VOLUME, which strongly affects trade signals. The weights can be adjusted in 0.1 increments, and even small changes can have a big impact — so fine-tuning is important!
These indicators were chosen because they complement each other:
RSI and its EMA help identify momentum shifts
ATR gauges volatility to confirm market conditions
ADR and VOLUME help filter weak signals and fine-tune entries and exits
🔍 Important: Only use this script if you understand how RSI, EMA, ATR, ADR, and VOLUME indicators work, and are comfortable making your own trading decisions.
The backtest results are based on historical data — the script cannot see the future, not even guess it. Please use it responsibly.
This script is an advanced trend-following strategy that dynamically combines RSI, SMA, EMA, ATR, ADX, and volume indicators using a unique weighting and filtering mechanism. Instead of simply combining traditional indicators, it applies them in a unique way:
✅ Dual RSI Comparison: The strategy utilizes two RSI indicators, analyzing their relative movement to filter out false signals and provide more precise entry points.
✅ Custom Entry and Exit Rules: EMA crossovers alone do not generate signals; instead, they go through a dynamic RSI filter that takes market volatility into account using ATR and ADX.
✅ Intelligent Trend Identification: Instead of standard moving averages, a uniquely weighted SMA/EMA system is used to assess trend strength and stability.
✅ ATR, ADX & Volume-Based Weighting: The EMA length is dynamically adjusted based on ATR, ADX, and volume, allowing moving averages to react faster in strong trends while smoothing out in choppy markets.
Advanced Dynamic EMA Zone
This is not your typical EMA indicator. It's an enhanced, dynamically adaptive trend zone that:
✅ Applies gradient shading – The zone between EMAs is divided into four layers, highlighting trend strength through smooth color transitions.
✅ Visualizes trend intensity – The strongest trends appear in the darkest shades, while weaker moves fade into lighter tones.
✅ Brings moving averages to life – Instead of static lines, it creates a visually intuitive trend channel.
✅ Differentiates bullish & bearish phases – The cloud fades from dark green to light green during an uptrend and from dark red to light red in a downtrend.
✅ Filters out market noise – Weakening trends appear more transparent, instantly revealing when momentum starts to fade.
✅ Enhances decision-making – Crossovers alone are not trading signals, but the visual representation helps identify market conditions at a glance.
➡️ What makes it unique?
Traditional moving average indicators rely on basic lines, but this is a full-fledged trend visualization system, helping traders filter noise and better understand price momentum.
🔄 Improved Custom EMA Smoothing Control
We’ve enhanced the weighting factor input for better user control! Previously, the EMA smoothing factor (ema1_smooth_factor) had a fixed step size that limited precision. Now, users can fine-tune it in 0.1 increments for greater flexibility.
✅ What’s new?
More precise control over EMA smoothing with adjustable step size (step=0.1).
Better adaptability to different market conditions.
Smoother trend visualization for traders who prefer fine-tuned settings.
This update ensures our custom EMA visualization remains superior to standard indicators. 🎯🔥
Trend Hunter Scalping [Daddin Algo]Trend Hunter Scalping Strategy Description
This strategy is a comprehensive scalping system designed to capture high-frequency trading opportunities within short timeframes. It combines multiple technical indicators to assess trend direction, momentum, volatility, and volume dynamics. Importantly, all parameters are user-adjustable, allowing the strategy to be optimized for various market conditions and individual preferences.
Technical Indicators and Settings
EMA (Exponential Moving Average):
The EMA is calculated based on a user-defined period. Rather than being fixed (e.g., a 200-period EMA), the period is adjustable to suit different market conditions. The position of the price relative to the EMA helps confirm the overall trend.
RSI & RSIOver:
The Relative Strength Index (RSI) measures momentum and the speed of price changes. Entry signals are generated when the RSI crosses its moving average. Additionally, overbought and oversold thresholds (set by the user) add an extra layer of confirmation for the signals.
ADX:
The Average Directional Index (ADX) assesses the strength of the current trend. When the ADX is above a user-specified threshold, the signals are considered more reliable. This helps in filtering out signals during weak trending periods.
Bollinger Bands:
Bollinger Bands gauge market volatility. The settings—including the length and the multiplier—are adjustable, providing flexibility to accommodate tightening or expanding volatility conditions.
Parabolic SAR:
This indicator identifies dynamic support and resistance levels, confirming the trend direction and helping pinpoint potential entry and exit points.
Pivot Levels (Fibonacci):
Calculated from the previous period's high, low, and close, pivot points and Fibonacci levels indicate potential reversal points and serve as support and resistance levels. These levels provide context for setting trailing stops and managing risk.
Volume Filter:
A volume condition ensures that trading signals are only considered valid when the current volume exceeds a multiple of its short-term moving average. This filter is adjustable, helping to confirm the strength of the market move.
Daddin Line:
Derived from a short-term moving average of the closing prices with a user-defined offset, the Daddin Line acts as an additional confirmation tool. Its parameters can be customized to better align with specific trading environments.
Trading Logic and Management
Signal Direction and Entry:
The strategy can generate both long (buy) and short (sell) signals, or be limited to one direction based on user preference. Entry orders are executed when all the selected indicator conditions are met. Additionally, maximum consecutive trade limits are implemented to help control risk.
Exit & Take Profit:
Trades are exited automatically when a user-defined profit percentage is reached. This take-profit percentage is flexible, enabling adjustments to match different market conditions or trading goals.
Trailing Stop (Dynamic Stop Loss):
A trailing stop mechanism is implemented using Fibonacci pivot levels. Once a position is open, the stop loss is dynamically updated as the price moves favorably. This ensures that profits are protected while minimizing losses in case of a sudden reversal.
Additional Features and Backtesting
Time Filtering (Backtesting):
The strategy includes a date range filter for backtesting. Users can define the start and end dates to evaluate the strategy’s performance during specific market periods, making it easier to assess its historical effectiveness.
Customizable Parameters:
Every indicator and risk management setting is fully customizable. This adaptability allows traders to tailor the strategy to different assets, timeframes, and market environments, ensuring optimal performance across diverse trading scenarios.
Conclusion
The Trend Hunter Scalping strategy effectively integrates multiple technical indicators to validate trends and manage risks efficiently. Its highly flexible, user-adjustable parameters make it adaptable to varying market conditions, providing traders with a robust framework for capturing quick trading opportunities.This strategy is designed to optimize both entry and exit points while offering comprehensive risk management controls.
Scalper Bot [SMRT Algo]The SMRT Algo Bot is a trading strategy designed for use on TradingView, enabling traders to backtest and refine their strategies with precision. This bot is built to provide key performance metrics through TradingView’s strategy tester feature, offering insights such as net profit, maximum drawdown, profit factor, win rate, and more.
The SMRT Algo Bot is versatile, allowing traders to execute either pro-trend or contrarian strategies, each with customizable parameters to suit individual trading styles.
Traders can automate the bot to their brokerage platform via webhooks and use third-party software to facilitate this.
Core Features:
Backtesting Capabilities: The SMRT Algo Bot leverages TradingView’s powerful strategy tester, allowing traders to backtest their strategies over historical data. This feature is crucial for assessing the viability of a strategy before deploying it in live markets. By providing metrics such as net profit, maximum drawdown, profit factor, and win rate, traders can gain a comprehensive understanding of their strategy's performance, helping them to make informed decisions about potential adjustments or optimizations.
Advanced Take Profit and Stop Loss Methods: The SMRT Algo Bot offers multiple methods for setting Take Profit (TP) and Stop Loss (SL) levels, providing flexibility to match different market conditions and trading strategies.
Take Profit Methods:
- Normal (Percent-based): Traders can set their TP levels as a percentage. This method adjusts the TP dynamically based on market volatility, allowing for more responsive profit-taking in volatile markets.
- Donchian Channel: Alternatively, the bot can use the Donchian Channel to set TP levels, which is particularly useful in trend-following strategies. The Donchian Channel identifies the highest high and lowest low over a specified period, providing a clear target for profit-taking when prices reach extreme levels.
Stop Loss Methods:
- Percentage-Based Stop Loss: This method allows traders to set a fixed percentage of the entry price as the stop loss. It provides a straightforward, static risk management approach that is easy to implement.
- Normal (Percent-based): Traders can set their SL levels as a percentage. This method adjusts the SL dynamically based on market volatility, allowing for more responsive profit-taking in volatile markets.
- ATR Multiplier: Similar to the TP method, the SL can also be set using a multiple of the ATR.
Pro-Trend and Contrarian Strategies: The SMRT Algo Bot is designed to execute either pro-trend or contrarian trading strategies, though only one can be active at any given time.
Pro-Trend Strategy: This strategy aligns with the prevailing market trend, aiming to capitalize on the continuation of current price movements. It is particularly effective in trending markets, where momentum is expected to carry the price further in the direction of the trend.
Contrarian Strategy: In contrast, the contrarian strategy seeks to exploit potential reversals or corrections, trading against the prevailing trend. This approach is more suitable in overextended markets where a pullback is anticipated. Traders can switch between these strategies based on their market outlook and trading style.
Dashboard Display: A dashboard located in the bottom right corner of the TradingView interface provides real-time updates on the bot’s performance metrics. This includes key statistics such as net profit, drawdown, profit factor, and win rate, specific to the current instrument being tested. This immediate access to performance data allows traders to quickly assess the effectiveness of the strategy and make necessary adjustments on the fly.
Input Settings:
Reverse Signals: If turned on, buy trades will be shown as sell trades, etc.
Show Signal (Bar Color): Shows the signal bar as a green candle for buy or red candle for sell.
RSI: Used as a filter for one of the conditions for trade. Can be turned on/off by clicking on the checkbox.
Timeframe: Affects the timeframe of RSI filter.
Length: Length of RSI used in measurement.
First Cross: Whether or not to factor in the first RSI cross in the calculation.
Buy/Sell (Above/Below): Look for trades if RSI is above or below these values.
EMA: Used as a trend filter for one of the conditions for trade. Can be turned on/off by clicking on the checkbox.
Timeframe: Affects the timeframe of EMA filter.
Fast Length: Value for the fast EMA.
Middle Length: Value for the middle EMA
Slow Length: Value for the slow EMA.
ADX: Used as a volatility filter for one of the conditions for trade. Can be turned on/off by clicking on the checkbox.
Threshold: Threshold value for ADX.
ADX Smoothing: Smoothing value for the ADX
DI Length: DI length value for the ADX.
Donchian Channel Length: This value affects the length value of the DC. Used in TP calculation.
Close Trade On Opposite Signal: If true, the current trade will close if an opposite trade appears.
RSI: If turned on, it will also use the RSI to exit the trade (overextended zones).
Take Profit Option: Choose between normal (percentage-based) and Donchian Channel options.
Stop Loss Option: Choose between normal (percentage-based) and Donchian Channel options.
The SMRT Algo Bot’s components are designed to work together seamlessly, creating a comprehensive trading solution. Whether using the ATR multiplier for dynamic adjustments or the Donchian Channel for trend-based targets, these methods ensure that trades are managed effectively from entry to exit. The ability to switch between pro-trend and contrarian strategies offers adaptability, enabling traders to optimize their approach based on market behavior. The real-time dashboard ties everything together, providing continuous feedback that informs strategic adjustments.
Unlike basic or open-source bots, which often lack the flexibility to adapt to different market conditions, the SMRT Algo Bot provides a robust and dynamic trading solution. The inclusion of multiple TP and SL methods, particularly the ATR and Donchian Channel, adds significant value by offering traders tools that can be finely tuned to both volatile and trending markets.
The SMRT Algo Suite, which the SMRT Algo Bot is a part of, offers a comprehensive set of tools and features that extend beyond the capabilities of standard or open-source indicators, providing significant additional value to users.
What you also get with the SMRT Algo Suite:
Advanced Customization: Users can customize various aspects of the indicator, such as toggling the confirmation signals on or off and adjusting the parameters of the MA Filter. This customization enhances the adaptability of the tool to different trading styles and market conditions.
Enhanced Market Understanding: The combination of pullback logic, dynamic S/R zones, and MA filtering offers traders a nuanced understanding of market dynamics, helping them make more informed trading decisions.
Unique Features: The specific combination of pullback logic, dynamic S/R, and multi-level TP/SL management is unique to SMRT Algo, offering features that are not readily available in standard or open-source indicators.
Educational and Support Resources: As with other tools in the SMRT Algo suite, this indicator comes with comprehensive educational resources and access to a supportive trading community, as well as 24/7 Discord support.
The educational resources and community support included with SMRT Algo ensure that users can maximize the indicators’ potential, offering guidance on best practices and advanced usage.
SMRT Algo believe that there is no magic indicator that is able to print money. Indicator toolkits provide value via their convenience, adaptability and uniqueness. Combining these items can help a trader make more educated; less messy, more planned trades and in turn hopefully help them succeed.
RISK DISCLAIMER
Trading involves significant risk, and most day traders lose money. All content, tools, scripts, articles, and educational materials provided by SMRT Algo are intended solely for informational and educational purposes. Past performance is not indicative of future results. Always conduct your own research and consult with a licensed financial advisor before making any trading decisions.
Premium Volatility Breakout Strategy [wbburgin]This the premium version of my Volatility Breakout strategy, which improves significantly on the original strategy (publicly available on my profile). Improvements are below. A note about any of my premium scripts: I will continue updating and improving the original (public) versions.
This strategy is not built for any specific asset or timeframe, and has been backtested on crypto, equities, and forex from 1min - 1day. However, I recommend using it on more volatile assets because it is a breakout strategy.
********** My Background
I am an investor, trader, and entrepreneur with 10 years of cryptocurrency and equity trading experience and founder of two fintech startups. I am a graduate of a prestigious university in the United States and carry broad and inclusive interests in mathematical finance, computer science, machine learning / artificial intelligence, as well as other fields.
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Improvements over the original Volatility Breakout strategy include:
Faster Trend Detection → The Premium Volatility Breakout strategy will catch trends faster by using adaptive volatility-weighted bands instead of standard-width volatility-weighted bands. This can improve win size and has performed well in my backtesting.
ADX Filter → False breakouts dampen the overall results of the original script, as well as the % profitable,so an ADX filter has been programmed into the script (toggle on/off in settings). This filter will only enter long and short trades when the ADX is above a certain threshold. This is by default toggled off because in most instances it will not be necessary, but in certain environments may be useful.
MA Configuration → Different types of moving averages and weights are now configurable in the settings. These can change the responsiveness of the strategy.
External Trend Filter → I use this strategy as a filter for some of my low-timeframe algorithms. I have added an external trend filter (a plot only displayed in the data window) that will return “1” when the trend is long and “-1” when the trend is short (displayed on-chart with red and green trend curves).
Customizable Alert Messages In-Strategy → In the settings, there will be text boxes where you can create your own alerts. All you will need to do is create an alert in the alert panel on TradingView and leave the message box blank - if you fill out the alert boxes in the settings, these will automatically populate into your alerts. There are in total four different customizable alerts messages: Entry and Exit alerts for both Long and Short sides. If you disable stop loss and/or take profit, these alerts will also be disabled. Similarly, if you disable shorts, all short alerts will be disabled.
About stop losses: This strategy does not come with a stop loss because the moving average acts as a stop loss / trade exit for both long and short entries.
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Display
You can turn off highlighting or barcolor in the settings. Additionally, future updates may include a color scheme for users using a light-themed window.
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Configuring Alerts
In TradingView desktop, go to the ‘Alerts’ tab on the right panel. Click the “+” button to create a new alert. Select this strategy for the condition and one of the two options that includes alert() function calls. Name the alert what you wish and clear the default message, because your text in the settings will replace this message.
Now that the alert is configured, you can go to the settings of the strategy and fill in your chosen text for the specific alert condition. You will need to check “Long and Short” in the “Trade Direction” setting in order for any Short Alerts to become active.
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Disclaimer
Copyright by wbburgin.
The information contained in my Scripts/Indicators/Algorithms does not constitute financial advice or a solicitation to buy or sell any securities of any type. I will not accept liability for any loss or damage, including without limitation any loss of profit, which may arise directly or indirectly from the use of or reliance on such information.
All investments involve risk, and the past performance of a security, industry, sector, market, financial product, trading strategy, backtest, or individual's trading does not guarantee future results or returns. Investors are fully responsible for any investment decisions they make. Such decisions should be based solely on an evaluation of their financial circumstances, investment objectives, risk tolerance, and liquidity needs.
SPY 1 Minute Day TraderWhen scalping options, users are looking for where breakouts are going to occur instead of sitting thru areas choppy price action that drain delta and cause them to lose value even if price is up trending. This script tries to identify when a trend reversal is expected based on one minute price action on the SPY. It alerts users to prepare for potential breakout when 5 out of the 6 key optimized parameters are discovered by showing a white L or S. Once all six trigger, it informs the user at the close of that candle with a golden triangle with Pivot Up or Pivot Down. As scalping options is something that is expected to be short in duration, a take profit and stop loss of 30 cents of price actions is established. If five or more parameters occur after the pivot is initiated, then stop losses and take profits are adhered to; however, if there are less, then it waits to take profit or stop the trade, as likely it is just noise and it will finish trend with an additional breakout.
This script has been created to take into account how the following variables impact trend for SPY 1 Minute:
ema vs 13 ema : A cross establishes start of trend
MACD (Line, Signal & Slope) : If you have momentum
ADX : if you are trending
RSI : If the trend has strength
The above has been optimized to determine pivot points in the trend using key values for these 6 indicators
bounce up = ema5 > ema13 and macdLine < .5 and adx > 20 and macdSlope > 0 and signalLine > -.1 and rsiSignal > 40
bounce down = ema5 < ema13 and macdLine > -.5 and adx > 20 and signalLine < 0 and macdSlope < 0 and rsiSignal < 60
White L's indicate that 5 of 6 conditions are met due to impending uptrend w/ missing one in green below it
Yellow L's indicate that 6 of 6 conditions still are met
White S's indicate that 5 of 6 conditions are met due to impending downtrend w/ missing condition in red above it
Yellow S's indicate that 6 of 6 conditions still are met
After a downtrend or uptrend is established, once it closes it can't repeat for 10 minutes
Won't open any trades on last two minutes of any hours to avoid volatility
Will close any open trades going into last minute of hour to avoid large overnight random swings.
MTF Supertrend [Trading Nerd]Trend Trading Strategy using Supertrends
Backtesting Script that uses a multitimeframeanalysis of the Supertrend Indicator. The trend direction is determind by a higher Timeframe (TF) Supertrend. The entry Signals are given by the Supertrend of the current TF. The script is NOT repainting (the script takes the previous value of the higher TF Supertrend, if the higher TF candle is not confirmed yet).
Strategy Conditions
Longs:
The higher TF Supertrend has to be green
The current TF Supertrend change from red to green
Shorts:
The higher TF Supertrend has to be red
The current TF Supertrend change from green to red
Optional:
Option: If enabled also a trend chage of the higher TF Supertrend is a valid Entry Signal
If enabled Signals are discarded if the ADX is below the value
Take Profit
On default there is no Take Profit. You can activate a Risk Reward Based Take Profit target trough the option. Also a Partial Take Profit is possible.
Stop Loss
The default Stop Loss Strategy is a Trailing Stoploss. As trailing Price the current TF Supertrend is used.
Additional
Time Filter: Only opens trade in the defined Session. Open trades are still being closed outside of the Session.
Start Date/End Date: Limits the backtest for the defined Date Range
Trading Days: Only open Trades on the checked Days
Risk % per Trade: If enabled the Strategy uses X% of the capital (defined in Settings -> Properties -> Initial Capital)
Use Compound Interest: If enabled Capital is recalculated for every trade (initial capital + net Profit)
IMPORTANT: For low Timeframes and Markets with tight SL (like Forex) it requires a lower Margin Percent than default. Go to Settings->Properties and lower the required Long/Short Margin. Otherwise Trades might not be considered because of too less capital/marign. Margins can e.g. set to: 2% (Forex), 10% (Stocks), 20% (Crypto).
[Crypto] Autotrade 2.3* Commission: 0.06% = Binance future fee.
1. HIGH/LOW PIVOT:
- Pivot Left: 10
- Pivot Right: 10
Long trend identification:
- Higher High occurs after Higher Low.
Short trend identification:
- Lower Low occurs after Lower High.
2. ADX INDICATOR: 1h & 4h timeframe have a strong strength for open trade.
- ADX smoothing: 14.
- DI length: 14.
- ADX STRONG > 25.
3. SUPERTREND INDICATOR:
- Long trend when closes candle is above the green line.
- Short trend when closes candle is below the red line.
4. OPEN POSITION RULE:
- BUY/LONG: reject to Supertrend at current timeframe.
- SELL/SHORT: reject to Supertrend at current timeframe.
5. AUTOTRADE BINANCE FUTURE WITH MONEY MANAGERMENT: requires Pro, Pro +, Premium Tradingview & Webhook service.
6. BACKTEST RESULT:
- Deep backtest: 08 OCT 2010 - 3 JUL 2022:
- Backtest 129 Binance Future pairs: 78 pairs with winrate > 52% | 51 pairs with winrate < 52%
Fibonacci Zone DCA Strategy - R3c0nTraderCredits:
Thank you "eykpunter" for granting me permission to use "Fibonacci Zones" to create this strategy
Thank you "junyou0424" for granting me permission to use "DCA Bot with SuperTrend Emulator" which I used for adding bot inputs, calculations, and strategy
Pre-requisites:
You can use this script without a 3Commas account and see how 3Commas DCA Bot would perform. However, I highly recommend signing up for their free account, going through their training, and testing this strategy with a paper bot. This would give you a base understanding of the settings you will see in this strategy and why you will need to know them.
What can this do?
First off, this is a Long only strategy as I wrote it with DCA in mind. It cannot be used for shorting. Shorting defeats the purpose of a DCA bot which has a goal that is Long a position not Short a position. If you want to short, there are plenty of free scripts out there that do this.
I created this script out of curiosity and I wanted to see how a strategy based on “Fibonacci” levels would work with a 3Commas DCA bot. I came across "eykpunter’s" "Fibonacci Zones" study and in TradingView and I found it to be a very interesting concept. The "Fib Zones" in his study are basically a "Donchian Channel" of 4 Fibonacci lines. These are the High @ 0.236, Center High @ 0.382, Center Low @ 0.618, and Low @ 0.764.
The Fib Zones in this strategy can be used as conditions to open a trade as well as closing a trade. There is also the option to close a trade based on a Target Take Profit (%).
Advanced Fibonacci trading is also supported by specifying additional parameters for Trade Entry and Exit.
For example, for order entry, you can increase the minimum trend strength to open an order via the "minimum ADX value" option. You can also further limit order entry by selecting the option to "Only open trades on bullish +DI" (Positive Directional Index).
Or you can play the contrarian. For example, I would look for "buying the dip" opportunities by doing the following under "Trade Entry Settings":
Set the "Min ADX value to open trade" to zero
Set the option "Open a trade when the price moves" to "1-To the bottom of Downtrend Fib zone" or "2-Higher than the top of the Downtrend Fib zone"
Uncheck option "Only open trades on bullish +DI"
Set the 'Min ADX value to open trade' to Zero
Set the 'Max +DI value to open trade' to a value between 10-20.
For Trade Exit settings, I can use a "Target Take Profit (%)" or one of the High Fib levels to close the trade.
Here's an example result when using a Contrarian-Fibonacci-Zone-DCA strategy:
Explanation of Chart lines and colors on chart
Six Options for Entering a Fibonacci Trade
Open a trade when the price moves:
1-To the bottom of Downtrend Fib zone
2-Higher than the top of the Downtrend Fib zone
3-Higher than the bottom of Ranging Fib Zone
4-Higher than the top of Ranging Fib Zone
5-Higher than the bottom of Uptrend Fib Zone
6-To the top of Uptrend Fib Zone
Three Options for Exiting a Fibonacci Trade
Take profit using:
"Target Take Profit (%)"
"High Fibonacci Border-1"
"High Fibonacci Border-2"
Joint Conditions Strategy Suite + TradingConnector alerts bot"Please give us combined alerts with the possibility of having several conditions in place to trigger the alert." - was the top voted request from users under one of the recent blogposts by TradingView.
Ask and you shall receive ;)
TradingView is a great platform, with unmatched set of functionalities, yet this particular combo of features indeed seems not to be in place. Fortunately, TradingView is also very open platform, thanks to PineScript coding language, which enables developing combos like the requried one and plenty of other magic.
I have already published numerous "educational" scripts, showing how to code indicators and alerts with PineScript, but... this is not one of them. This one is for real. READY FOR USE on real markets, also by the non-coding traders. Just take my script, set parameters with dropdowns, backtest the strategy, fire the alerts and execute them.
HOW TO USE IT
In "Settings" popup I tried to mimic the CreateAlert popup dropdowns for selecting logic. Let's say you want to enter Long position at Stochastic KxD crossover. In first line of Long Entry conditions set "StochK" + "Crossing Up" + "StochD". Last field doesn't matter because in 3rd dropdown something else than "value" was selected. In second line you could set "maB" + "Greater Than" + "maC" to filter out those entries which are in direction of the uptrend. And yeah, add ADX>25 to make sure the market is actually moving: "ADX" + "Greater Than" + "value" + "25". All condition lines must be TRUE (or skipped) for the entry to be triggered. Toghether with an alert.
The same for Short entries. Combinations are limitless.
INDICATORS AND MTF (MULTI-TIMEFRAME)
In those dropdowns you can select candle values like open/close/high/low/ohlc4, but also some most popular indicators, which I have pre-built into this script: RSI, various Moving Averages, ADX-DMI, Stochastic and Bollinger Bands for start. You can configure parameters of those indicators also in "Settings" popup, in "Indicator Definitions" section. What's important, you can use any of these indicators from higher timeframe, setting MTF multiplier. So if you applied this indicator to 1h chart, but want to use rsi(close,14) from 4h chart, set MTF to 4. If you want to use current timeframe indicators, keep MTF at 1, which is a default setting here.
Note for coders: to keep focus of this script on joining conditions, entire logic for those indicators has been moved to external library, also open source. I encourage you to dig into the code and see how it's done. I love the addition of libraries concept in PineScript.
CUSTOM INDICATOR
Following the "openness" spirit of my master - which is TradingView itself - my work is also open, in 2 ways:
1. This script is open source. So you can grab it, modify or add any functionalities you want. I cannot and don't want to stop you from doing that. I'm asking for only one favor - please mention this source script in your credits.
2. You can import the plot (series) from any other indicator on TradingView. In Settings popup of my script, scroll down to "Indicator Definitions" section, and select the series of your choice in the first dropdown. Now it is ready to use in conditions dropdowns on top of the Settings popup.
Let me give you an example of that last scenario. Take another script of mine, "Pivot Points on SR lines DEMO". You can find it in "Indicators & Strategies" library or here: (). Attach it to your chart. Now come back to THIS script, open Settings popup and in "Custom Indicator aka Imported Source" select "Pivot Points on SR lines: ...". The way it works - it detects if a pivot point happened on Support/Resistance line from the past and returns 1 for PivotLow and -1 for Pivot High. Now in first Long Entry condition set: "custom indicator" + "Greater Than" + "value" + "0" and long entries will be marked on every pivot low noticed on Support/Resistance line.
ALERTS
Last but not least - the alerts. This script produces alerts on the entries calculated by strategy logic, as marked on the chart by the backtester. Moreover, syntax of those alerts is already prepared and fully compatible with TradingConnector - alerts executing tool (bot), if you want to auto-execute those trades. Apart from installing the tool, you need to set
up the alerts in TradingView, here is how:
open CreateAlert popup
in first dropdown select "Joint Conditions Strategy Template"
in second dropdown select "alert() function calls only"
And that's all. You only need to set one alert for the whole script, not one for Longs and one for Shorts as it was in the past. Also, you don't need to setup closing alerts, because stop-loss/take-profit/trailing-stop information is embedded in the entry alert so your broker receives it as early as possible. Alerts sent will look like this: "long sl=40 tp=80", which is exactly what TradingConnector expects.
Phew, that's all folks. If you think I should add something to this template (maybe other indicators?) please let me know in comments or via DM. Happy trading!
P.S. Pyramiding is not supported in this script.
Disclaimer : I'm not saying above combination of conditions will make you money. Actually none of this can be considered financial advice. It is only a software tool. Use it wisely, be aware of the risk and do your own research!
[Crypto] DinhChienFX [2 orders]1. Supertrend indicator at Daily timeframe:
- Long trend: the close of candle is above the Green line of Supertrend Indicator.
- Short trend: the close of candle is below the Red line of Supertrend Indicator.
2. Keltner Channels:
- Only buy is above Upper Keltner.
- Only sell is below Lower Keltner.
3. ADX indicator:
- BUY when the ADX indicator crosses 46 + Supertrend is GREEN + Candle's close above Upper Keltner.
- SELL when the ADX indicator crosses 46 + Supertrend is RED + Candle's close below Upper Keltner.
4. Order 2: just active when the Order 1 is opening.
- At the fibonacci retracement 63% ~ Risk/reward 1/1.7
5. Not repaint:
6. Stoploss and Take Profit: risk/reward 1/1.05
- Stoploss = The height of Keltner Channels from lower to upper.
- Take profit = The height of Keltner Channels from lower to upper x 1.05
7. Alert for webhook:
* Historical data with 1 Entry.
- 2013 - 2016:
- 2016 - 2019:
- 2019 to 20/10/2021
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Every year:
2013-2014:
2014-2015:
2015-2016:
2016-2017:
2017-2018:
2018-2019:
2019-2020:
2020-2021:
2021-20/10/2021:
PROFIT MAKER |Crypto|ETH|BTC|YFIThis is a trend-following strategy that works very well for many Crypto assets in the usd or usdt pair
It can be used for both futures and spot!
Some of the assets in which this strategy is proven are
Asset Exchange TF
BINANCE:ADAUSDT Binance 45m
BINANCE:BTCUSDT Binance 1h
BINANCE:YFIUSDT Binance 30m
BINANCE:DOTUSDT Binance 45m
BINANCE:ETHUSDT Binance 30m
BINANCE:LINKUSDT Binance 45m
BINANCE:DOGEUSDT Binance 1h
And many others..
BINANCE:BTCUSDT
BINANCE:LINKUSDT
What is this strategy based on?
It is a combination of various parameters, including
-RSI: The relative strength index (RSI) is a momentum indicator used in technical analysis that measures
the magnitude of recent price changes to evaluate overbought or oversold conditions in the price of a stock or other asset.
-MACD: Moving average convergence divergence (MACD) is a trend-following momentum indicator that shows
the relationship between two moving averages of a security’s price.
-ADX: ADX is used to quantify trend strength. ADX calculations are based on a moving average of price range expansion over a given period of time.
-DMI: DMI is a moving average of range expansion over a given period (the default is 14 days). The positive directional
movement indicator (+DMI) measures how strongly price moves upward; the negative directional movement indicator (-DMI)
measures how strongly price moves downward. The two lines reflect the respective strength of the bulls versus the bears.
Included:
Different forms of Take profit, included:
Take profit on squeeze candles
Take profit based on Risk-Benefit (RR)
Take profit a pre-determined %.
Different forms of Stop Loss, including
ATR-based stop loss
Trail stop loss (with option to use a trigger)
Stop loss a pre-determined %.
**All trades include 0.1% of fees + slippage
** The statistics displayed are for the year 01-01-2020 and the period from 2021 to the date of publication (14-01-2020)
For access you can send a message or consult in my social networks.
Links in my tradingview signature (below).
HFT Divergence Hunter BacktesterDefault Settings are meant to be used in BTC /USDT chart on 5 min time frame on Binance Futures . If you want to use for another asset on another time frame YOU MUST CHANGE THE SETTINGS
This is a divergence finding strategy developed by HFT Research. It is a highly customizable strategy and provides endless opportunities to find profitable trades in the market.
Default Settings are meant to be used in BTC /USDT chart on 5 min time frame on Binance Futures . If you want to use for another asset on another time frame YOU MUST CHANGE THE SETTINGS
This is a divergence finding indicator developed by HFT Research. It is a highly customizable indicator and provides endless opportunities to find profitable trades in the market.
Use Envelope , this is the main decision maker in this strategy. The idea behind is that you choose the length of the moving average and set an offset % to create an upper and lower band. If you click on “display envelope” you will be able to visually see the band you have created. This way, you get to scalp the market as the price is diverging and moving away from the moving average. As the famous saying goes, moving averages act like magnets and prices always visits them back. Using this ideology, we aim to capitilize on the price swings that move away from the chosen moving average by x%.
STARC Bands ;
These are two bands that are applied above and below a simple moving average of an asset’s price. The upper band is created by adding the value of the average true range (ATR) or a multiple of i. The lower band is created by subtracting the value of the ATR from the SMA . The channel can provide traders with ideas on when to buy or sell. During an overall uptrend, buying near the lower band and selling near the top band is favorable. However, from our testing results it does fairly poorly in crypto markets while it does pretty well in traditional markets.
Use RSI ;
One of the most commonly used indicators in the trading world. The idea is simple, buy when its oversold and sell when its overbought. You can use RSI as a secondary confirmation of the dips. It can be turned on and off.
Use MFI
MFI stands for Money Flow Index and it is an oscillator like RSI . However, it does track the price in a different fashion than RSI providing a reliable option. It uses the price and volume data for identifying overbought and oversold signals in an asset.
Use Fisher Transform
Even though, it has a funny name, Fisher is actually a very decent and reliable indicator. It converts the prices into a Gaussian normal distribution channel. Therefore, the indicator detects when the prices have moved to an extreme, based on recent price action.
Use VWAP
VWAP stands for volume weighted average price . It is an extremely useful indicator when trading intra-day. It does reset every trading session which is at 00:00 UTC . Instead of looking at x number of candles and providing an average price, it will take into consideration the volume that’s traded at a certain price and weigh it accordingly. It will NOT give entry signals but act as a filter. If the price is above VWAP will filter out the shorts and other way around for longs.
Use ADX
Average directional index is a powerful indicator when one is assessing the strength of a trend as well as measuring the volatility in the market. Unfortunately, the worst market condition for this strategy is sideways market. ADX becomes a useful tool since it can detect trend. If the volatility is low and there is no real price movement, ADX will pick that up and will not let you get in trades during a sideways market. It will allow you to enter trades only when the market is trending.
Use Super trend Filter
The indicator works well in a trending market but can give false signals when a market is trading in a range.
It uses the ATR ( average true range ) as part of its calculation which takes into account the volatility of the market. The ATR is adjusted using the multiplier setting which determines how sensitive the indicator is.
Use MA Filter
Lookback: It is an option to look back x number of candles to validate the price crossing. If the market is choppy and the price keeps crossing up and down the moving average you have chosen, it will generate a lot of “noisy” signals. This option allows you to confirm the cross by selecting how many candles the price needs to stay above or below the moving average. Setting it 0 will turn it off.
MA Filter Type: There is a selection of moving averages that is available on TradingView currently. You can choose from 14 different moving average types to detect the trend as accurate as possible.
Filter Length: You can select the length of your moving average. Most commonly used length being 50,100 and 200.
Filter Type: This is our propriety smoothing method in order to make the moving averages lag less and influence the way they are calculated slightly. Type 1 being the normal calculation and type 2 being the secret sauce .
Reverse MA Filter: This option allows you to use the moving average in reverse. For example, the strategy will go long when the price is above the moving average. However, if you use the reserve MA Filter, you will go short when the price is above the moving average. This method works best in sideways market where price usually retraces back to the moving average. So, in an anticipation of price reverting back to the moving average, it is a useful piece of option to use during sideway markets.
Use MACD Filter
MACD here will act as a filter rather than an entry signal generator. There are a few different ways to use this MACD filter. You can click on the Use MACD filter and it will use filter out the shorts generated in a bullish territory and longs generated in the bearish territory. It will greatly reduce the number of trades the strategy will trade because MACD is a lagging indicator. By the time MACD turns bullish or bearish , most of the other indicators will have already generated the signals. Therefore, resulting in less trades. You can use MACD filter as MA oscillator meaning that it will only look at the MA lines in MACD to filter out trades. Alternatively, you can use it with the histogram (Signal lines) meaning that it will only look at the histogram whether its below or above the zero line in order to filter out the trades.
TP (%)
Place your desired take profit percentage here. Default is 1.5%
Move SL At Entry x% Profit
This is when the strategy will move your SL to the entry point if the position reaches x% profit. It can also generate a signal which can be automated to adjust the SL on the exchange.
SL (%)
Place your desired stop loss percentage here. Default is 1%
The backtester assumes the following;
- 1000$ capital
- 0.06% commission based on binance
- 1% risk meaning 100% equity on cross leverage
- Backtest results are starting from 2020
If you want to get access to this indicator please DM me or visit our website.
