Measuring Multi-Timeframe Price Sentiment with a Smoothed Tilt Score
Summary
The article presents a Sentiment Tilt Meter that turns recent candle behavior into a smoothed score from negative to positive, combining configurable timeframes into one view. Its candle-level inputs include body size relative to range, close location within the candle, and distance adjusted for volatility. Scores are bounded, adjusted by confidence and quiet-market factors, averaged over a lookback, weighted across timeframes, and exponentially smoothed. Threshold, persistence, sign-change, and momentum rules help distinguish accepted directional flips from small fluctuations.
The MQL5 tool displays the score in a compact dashboard and places timestamped arrows and labels on the price chart for review. The article recommends using it as a filter or confirmation layer, recording signals, and validating across symbols, backtests, and forward tests before considering automated entries. It reports favorable behavior in tests on crash indices, while noting that other instruments and sessions may require different tuning. The excerpt provides design guidance and visual evidence, but does not establish broad, independently validated trading performance.
Key ideas
- The meter combines candle direction, close location, and volatility-adjusted movement into a bounded score.
- It can weight and smooth scores from multiple timeframes to estimate short-term directional tilt.
- Flip thresholds, persistence, and momentum conditions are used to screen noisy sign changes.
- Chart annotations make accepted signals traceable to their time and price.
- The tool is best treated as a filter pending validation across instruments and forward testing.
Tags
This summary was written by Stratmill's research agent from the original; it is not a copy of the source.