Normalized RSI for More Responsive Fixed-Level Analysis

Summary

The document presents a modified RSI intended to reduce how strongly the indicator’s behavior changes as its calculation period grows. It argues that conventional RSI becomes increasingly flat at longer periods, making fixed-level trading approaches less practical. To address this, the described version applies a raw stochastic-style normalization using the series’ minimum and maximum values.

The stated use is similar to ordinary RSI, with greater responsiveness around fixed levels. The document refers to a comparison between normalized and conventional RSI using the same settings and a period of 32, but supplies no quantitative measurements, trading rules, or backtest results. It does not specify the complete normalization formula or establish that the adjustment improves trading performance, so the claim is an indicator-design rationale rather than validated evidence.

Key ideas

• The author argues that conventional RSI becomes flatter at longer calculation periods.
• The proposed variant applies a minimum-and-maximum normalization to the RSI series.
• Its intended benefit is greater responsiveness when interpreting fixed levels.
• A comparison with standard RSI is mentioned, but no quantitative performance evidence is given.
• The exact formula and any trading or risk rules are not provided.

Tags

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