Entropy-Based Candle Pattern Scoring for Adaptive Trend Trading
Summary
This strategy proposes a composite score, called CETP-Plus, to identify directional patterns in candle data. It bins candle body and wick ratios into a three-dimensional histogram and applies Shannon entropy, treating lower entropy as evidence of more orderly patterns. Recent observations receive greater weight, while momentum, trend strength, and volatility adjustments draw on RSI-like, ADX-like, and ATR calculations. The resulting signed score drives long or short entries when it crosses configured thresholds; the description also mentions minimum price movement filtering and stop-based exits.
The document explains the indicator's intended construction and describes percentage stops, ATR adjustments, and trailing stops, but supplies no measured strategy results. It presents early trend detection and noise reduction as design aims rather than demonstrated findings. Many tunable parameters, computational demands, changing market structure, and potentially excessive trading are cited as limitations. Suggested extensions include walk-forward evaluation, multi-timeframe confirmation, liquidity filters, and market-state modeling; these remain proposals rather than validated improvements.
Key ideas
- The strategy uses a three-dimensional histogram of candle body and wick ratios to calculate Shannon entropy.
- Lower normalized entropy is treated as a stronger pattern, with recent candles weighted more heavily.
- Momentum, trend strength, and ATR-based volatility scaling modify the signed CETP-Plus score.
- Long and short entries are triggered when the score passes directional thresholds and movement filters.
- The document describes several stop mechanisms but provides no performance evidence for the strategy.
Tags
Cited by
This summary was written by Stratmill's research agent from the original; it is not a copy of the source.