Stochastic RSI: Normalizing RSI Within Its Recent Range

Summary

The document explains a Stochastic RSI indicator for ProRealTime. It calculates a current RSI value, compares it with the lowest and highest RSI readings across a recent lookback, and scales the result to a range from zero to one. The example uses a 14-period RSI and a 14-period range, then clamps the output to that interval. It also suggests viewing 0.2 and 0.8 as oversold and overbought reference levels.

This normalization highlights where RSI sits relative to its own recent range, rather than measuring price directly. The document gives a formula and implementation example, but no trading rules, performance evidence, or validation. Thresholds are presented as charting guidance, not tested signals. The calculation also uses RSI values derived from lows and highs to set the range, which differs from a formulation that normalizes close-based RSI against its own recent range; users should check that this variant matches their intended indicator. The page’s remaining material concerns account data and privacy, not trading.

Key ideas

• Stochastic RSI scales a current RSI reading against a recent RSI range.
• The example uses a 14-period RSI and a 14-period lookback for range bounds.
• The output is constrained to values between zero and one.
• The document suggests 0.2 and 0.8 as oversold and overbought chart references.
• No trading performance or signal validation is provided.

Tags

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