Conners RSI

The Connors RSI is a composite momentum indicator developed by Larry Connors and Cesar Alvarez that improves upon the traditional Relative Strength Index by combining three separate measurements into a single oscillator. The first component is a short-period RSI (typically 3 periods) that measures recent price momentum in the conventional way. The second component is the "Streak RSI," which applies RSI to the count of consecutive up or down closes — measuring how sustained a directional run has been rather than just its magnitude. The third component is a percentile rank of the current period's price change relative to all price changes over a longer lookback window, quantifying whether the current move is large or small in historical context.

By blending these three dimensions of momentum, the Connors RSI is designed to be more sensitive and accurate than a standalone RSI. A very low reading — typically below 10 — suggests the asset is deeply oversold across all three measures simultaneously, which historically has been associated with strong mean-reversion bounces. A reading above 90 signals extreme overbought conditions. The indicator is most effective on shorter time frames and has been shown to perform well as a short-term entry timing tool, particularly in strategies designed to buy brief pullbacks within longer-term uptrends.

For crypto bot traders, the Connors RSI offers a more nuanced and context-aware oversold/overbought measurement than traditional RSI. Its inclusion of the Streak component means it can distinguish between a brief two-candle dip and a prolonged multi-day selloff — two situations that carry very different reversal probabilities. Automated systems can be configured to enter mean-reversion long trades only when the Connors RSI falls below a low threshold while the broader trend remains bullish, combining precision entry timing with trend awareness to maximize the quality of each trade.