Combining Multi-Timeframe Trends and Price Structure in a Sentiment Indicator

Summary

This article describes a chart-panel indicator that summarizes market conditions across a higher timeframe and two lower timeframes. It uses an exponential moving average to estimate higher-timeframe bias, swing highs and lows to classify lower-timeframe structure, and breakout checks to help determine an overall label. The panel displays bullish, bearish, risk-on, risk-off, or neutral sentiment, with separate timeframe readings and color coding. Users can configure the timeframes, moving-average period, swing lookback, and visual settings.

The method is presented as a decision aid for aligning short-term observations with a broader market view. Risk-on and risk-off labels are framed as market moods associated with flows toward riskier or safer assets, while the indicator’s described calculations rely primarily on price and technical measures. The article gives implementation details but no empirical validation, performance results, or rules for translating sentiment labels into trades. Its classifications therefore remain heuristic; the panel consolidates inputs but does not demonstrate that its signals predict returns or improve trading outcomes.

Key ideas

• A higher-timeframe moving average provides a broad directional bias for the indicator.
• Lower-timeframe swing structure and breakout checks contribute to the combined sentiment classification.
• The panel displays timeframe-specific readings and an overall bullish, bearish, risk-on, risk-off, or neutral label.
• Users can adjust timeframes and technical parameters such as moving-average period and swing lookback.
• The article provides no performance evidence, so the sentiment labels should be understood as heuristic readings.

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