Smart Ichimoku: HMA Cloud Breakouts with Adaptive Scoring

Summary

This ProRealTime indicator replaces the usual Ichimoku midpoint lines with Hull moving averages to create a smoother cloud. A close crossing beyond the displaced cloud becomes a candidate breakout. The indicator scores candidates using RSI, stochastic position, price z-score, and distance from the cloud in ATR units. It weights features by their recent correlation with next-bar returns, converts the combined score to a probability, and marks only breaks that meet a chosen threshold. It also projects three target levels from recent absolute price moves and labels the latest setup by its score relative to the threshold.

The description presents the tool as a noise filter for existing Ichimoku breakout rules, with cloud color and the Kijun line offering trend context. Its target estimates use recent move averages and approximate median and modal calculations. The author gives parameter examples, but no out-of-sample validation or trading results. Correlation-based weights and recent-move targets may be unstable, and the scoring method is described without evidence that its probabilities are calibrated or predictive.

Key ideas

• The cloud is built from Hull moving averages and uses a displaced band for break detection.
• Four momentum and volatility features contribute to a logistic breakout score.
• Feature weights adapt using recent correlations with next-bar returns.
• Three target levels are estimated from the recent distribution of absolute moves.
• The document offers no validation showing that the signals or targets improve trading results.

Tags

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