Testing Candle Patterns for Non-Random Market Behavior
Summary
The article outlines a historical testing framework inspired by Larry Williams to examine whether candle outcomes depend on recent price behavior. It proposes eight tests: the overall bullish-close rate, bullish outcomes after runs of bearish or bullish candles, and the next candle’s outcome after a three-bar short-term low. An MQL5 Expert Advisor is used to scan data and run one selected experiment at a time, with trades simulated from candle open to close to connect the probability tests to possible trading use.
The article concludes that markets show measurable responses to recent weakness and strength, while emphasizing that the patterns do not provide certainty. The supplied excerpt does not include the individual test results, sample sizes, statistical significance measures, or detailed costs. A deviation from a 50% rate alone does not establish a robust edge, so the proposed findings would need further validation across instruments and periods.
Key ideas
- The framework tests whether bullish-close probabilities change after recent candle sequences.
- It examines outcomes after one, two, or three consecutive bullish or bearish candles.
- A three-bar low pattern is tested for its association with a bullish following candle.
- An MQL5 Expert Advisor automates the historical scans and simulates candle-level trades.
- The reported conclusions need validation because the excerpt omits detailed results and statistical significance.
Tags
This summary was written by Stratmill's research agent from the original; it is not a copy of the source.