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Adaptive System Combining Trend, Range, and Breakout Strategies

Article Strategy library · Author: ChaoZhang

Summary

This system combines three modules intended for different market conditions. The trend module uses price relative to an EMA and an ADX strength threshold, then looks for oversold RSI readings to enter long. The range module uses RSI overbought and oversold levels for reversal trades, while the breakout module pairs a price high break with an OBV condition. A volume filter is also applied, and ATR-based stops and risk-to-reward targets are used across the modules. Users can enable or disable each module and set trade risk parameters.

The published configuration specifies BTC/USDT futures on daily bars from January to November 2024, but the document gives no returns, trade counts, or other measured evidence. It warns that many adjustable inputs can invite overfitting, signals may conflict, low liquidity can increase slippage, and abrupt events can defeat stops. Suggested next steps include volatility-aware thresholds, dynamic strategy weighting, position sizing, and historical testing. The text describes intended design, not demonstrated robustness across market regimes.

Key ideas

  • The system combines trend following, range reversal, and breakout modules that can be selected independently.
  • EMA, ADX, RSI, OBV, volume, and ATR contribute to regime classification, entries, or risk controls.
  • ATR-based stop distances and configurable risk-to-reward targets support trade management.
  • Many parameters, conflicting signals, slippage, and sudden events are identified as risks.
  • The stated BTC/USDT daily backtest setup includes no performance results.

Tags

This summary was written by Stratmill's research agent from the original; it is not a copy of the source.