Finding Support and Resistance Zones from Candlestick Pattern Density

Summary

This article describes a charting tool that turns historical candlestick-pattern detections into price zones. It scans a configurable lookback period, places detection prices into bins, and scores each bin using hit counts, recency weighting, and pattern variety. The resulting heatmap highlights areas where different patterns have repeatedly appeared, while optional higher-timeframe confirmation can identify zones present across multiple chart scales. The tool also supports proximity alerts, chart markers, and CSV export for further analysis.

The intended use is to help traders plan around areas of past market reaction, refine trade timing, and position risk controls. The article suggests combining the zones with other analysis, but provides no controlled test showing that dense zones predict future support, resistance, or profitable trades. Pattern recurrence is a historical description, and the tool’s effectiveness may depend on the selected patterns, bin resolution, lookback, timeframe, and market. Treat the heatmap as a source of candidate levels for evaluation rather than proof that a zone will hold.

Key ideas

• The tool groups historical pattern detection prices into discrete bins to reveal recurring price areas.
• Zone scores can reflect hit frequency, detection recency, and the variety of patterns present.
• Optional higher-timeframe checks, alerts, chart markers, and CSV export extend the workflow.
• The zones may inform planning and risk placement, but the article provides no controlled predictive evidence.
• Results depend on configuration choices such as patterns, lookback period, and bin count.

Tags

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