Composite Trend Signals for Adaptive Trailing Stops

Summary

This strategy combines eight smoothed indicator signals to estimate trend direction: moving-average direction, KD, price-volume divergence, channel breaks, a multi-timeframe signal, Percent R, moving-average reversion, and ATR-channel breaks. Their weighted composite is interpreted as bullish above zero and bearish below zero. At a direction change, the strategy marks a trailing level near a prior high or low; the backtest logic enters long when price crosses the bullish level and exits when price crosses the bearish level.

The document provides a BTC/USDT futures backtest configuration with daily bars and hourly base data over roughly one year, but reports no performance results. It cautions that inaccurate composite signals can place stops too tightly or too loosely, and that gaps or sudden market moves can exceed their protection. The source uses a fixed set of internal indicator settings and implements only long entries, despite the broad multi-timeframe framing. Suggested improvements include tuning stop distances, using volume confirmation, and testing adaptive parameters; claims of improved accuracy remain unverified.

Key ideas

• Eight smoothed technical signals are combined into a weighted trend score.
• A score above zero indicates an uptrend, while a score below zero indicates a downtrend.
• The strategy uses a trailing level near a previous high or low to trigger long entries and exits.
• Incorrect trend readings can make the stop level too tight or too loose, and stops cannot prevent all gap risk.
• The published BTC/USDT futures configuration has no reported performance statistics.

Tags

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