Crypto Statistical Arbitrage

This Expert Advisor uses statistical arbitrage to trade cryptocurrency pairs (e.g., BTCUSD & ETHUSD). It identifies mispricings and executes trades based on deviations from historical correlations. The EA employs mean reversion, pair trading, and cointegration analysis. It features advanced risk management, including dynamic position sizing, ATR-based stop-loss/take-profit, equity protection, and drawdown limits. It also includes smart order handling, real-time position verification, and statistical exit conditions. The EA provides a user interface with real-time metrics, comprehensive logging, visual signals, and error reporting. Additional features include auto-position tracking, periodic maintenance, backtest compatibility, and margin/liquidity checks.

Core Features Outline:

  • Core Trading Strategies:

  • Mean Reversion: Z-score tracking, threshold-based entries.

  • Pair Trading: Trades on larger deviations.

  • Cointegration Analysis: Long-term equilibrium validation.

  • Advanced Risk Management:

  • Dynamic Position Sizing.

  • ATR-Based Stop Loss & Take Profit.

  • Equity Protection.

  • Drawdown Limits.

  • Spread & Volatility Filters.

  • Execution & Monitoring:

  • Smart Order Handling.

  • Real-Time Position Verification.

  • Statistical Exit Conditions.

  • User Interface & Analytics:

  • Interactive Dashboard.

  • Comprehensive Logging.

  • Visual Trading Signals.

  • Error Handling & Reporting.

  • Additional Features:

  • Auto Position Tracking.

  • Periodic Maintenance.

  • Backtest Compatibility.

  • Margin & Liquidity Checks.


Crypto Statistical Arbitrage Trading Bot: An In-Depth Look - Analytics & Forecasts 


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THE MAIN IDEA. First of all, this is the second of an EA family, based on same strategy applied to different indicators.  This means that the same strategy and same money management is applied to different indicators with spread main filtering. All EAs are sensitive to TF, please optimize H4, H1, M30. There is great difference. Final goal is to design an EA with higher success rate possible, with lowest losses overall.  This peculiarity, will grow confidence in EA usage, for long term satisfa
Trader Dream 01
Marco Stacchiotti
THE MAIN IDEA. First of all, this is the first of an EA family, based on same strategy applied to different indicators.  This means that the same strategy and same money management is applied to different indicators with spread main filtering.   All EAs are sensitive to TF, please optimize H4, H1, M30. There is great difference. Final goal is to design an EA with higher success rate possible, with lowest losses overall.    This peculiarity, will grow confidence in EA usage, for long term sati
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