Indicator reference › StochRSI
The full guide, with worked examples and what our tests found: Stochastic RSI Explained · Mean Reversion Strategy Studies
Stochastic RSI applies the Stochastic formula to RSI rather than to price, showing where RSI sits within its own recent range, from 0 to 100. It moves faster than RSI and reaches its extremes far more often. A low reading means RSI is near its recent low, which is not the same as RSI being oversold.
Values near 1 (or 100) mean RSI is at the top of its recent range; values near 0 mean it is at the bottom. Traders commonly act on crossings of 0.8 and 0.2, often together with %K and %D crossovers. Because it moves faster than RSI it signals earlier and far more often, and a faster signal is not necessarily a more reliable one.
Commonly used on hourly to daily bars to time entries. On very short timeframes it swings between extremes so often that most traders filter it with a slower trend measure.
ConnorsRSI
CCI — Commodity Channel Index
Williams %R
ROC — Rate of Change
RSI Mean Reversion Backtest: Which RSI Entry Works Best?
Four RSI entries under one dip-buying rule (above the 200-day average, out on a close above the 5-day average) on 483 S&P 500 stocks, 2006 to 2026, against buying and holding.
Does Stochastic RSI Work? 20 and 80 Tested on S&P 500 Stocks
Stochastic RSI crossing 20 and 80 on 483 S&P 500 stocks, 2006 to 2026: no clear difference from ordinary days over the next 10 days in any of 8 signal tests.
Stochastic RSI Explained
Stochastic RSI explained: how it places RSI in its own range, %K and %D, and the 20 and 80 zones, with our tests on S&P 500 stocks.
Mean Reversion Strategy Studies
Mean reversion trading explained: why prices revert, the entry and exit rules and the risks, with our tests of RSI, RSI(2), ConnorsRSI and Stochastic RSI signals on S&P 500 stocks and a backtest of the four.
A reading of Stochastic RSI can be written as an exact rule and checked against historical data — as a full strategy with entries, exits and costs, or as a single condition and what followed it:
How to backtest a trading strategy without code
Event analysis: what follows a market event
Plot it yourself. Add this indicator to a chart, change every parameter and watch the line move, then backtest how the rule would have behaved on historical data — free on the S&P 500 ETF, no card.
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