Automated Crypto Trading Strategies — How ML Models Execute Trades

Automated trading strategies powered by machine learning represent the cutting edge of crypto trading. Here's how TradeXor's automated system works from market data to executed signals.

The Pipeline

**1. Data Collection** — Our system fetches 1-hour and 4-hour OHLCV data from Binance for 5 pairs (BTC, ETH, BNB, SOL, XRP). Real-time ticker data streams via WebSocket.

**2. Feature Engineering** — Each candle is enriched with 20+ technical indicators including EMAs, RSI, Bollinger Bands, ATR, ADX, and volume profiles.

**3. Regime Detection** — ADX and Bollinger Band width classify the current market regime (trending, volatile, ranging, quiet).

**4. Strategy Evaluation** — TrendFollow and MeanReversion strategies evaluate every pair every 4 hours. The best signal is selected by confidence.

**5. ML Prediction** — The appropriate regime-specific XGBoost model generates a directional prediction with confidence.

**6. Signal Fusion** — Technical signal, ML prediction, macro bias (FRED data), and news sentiment are fused into a single confidence score.

**7. Risk Check** — Our correlation-aware risk manager checks drawdown limits, max open trades, and position sizing before approving the trade.

**8. Execution** — Approved trades are executed via paper trading (for tracking) with stop-loss and take-profit levels.

**9. Monitoring** — Open positions are monitored via WebSocket ticker. Trailing stops lock in profits. Partial take-profits at 1.5x risk secure gains.

This entire pipeline runs 24/7 on our VPS infrastructure with zero human intervention.