Stochastic RSI
The stochastic formula applied to RSI values instead of prices, so it moves faster.
What it shows
Stochastic RSI takes the last 14 RSI values and asks where today's RSI sits between their highest and lowest. The result runs from 0 to 1 (or 0 to 100).
Because it is an indicator of an indicator, it moves between extremes much more often than RSI.
How we find it
The same code that draws it on your chart follows these steps, with the same result every time.
- Compute RSI (14).
- Find the highest and lowest RSI of the last 14 bars.
- StochRSI = (RSI − lowest RSI) ÷ (highest RSI − lowest RSI).
- Optionally smooth with a 3-bar average.
Starting values: RSI 14; Stochastic window 14; Smoothing 3. These are proposed and will be tuned on real price data before launch.
How to read it
- The panel shows StochRSI from 0 to 100.
- It swings quickly between the top and bottom.
- Dashed lines mark 80 and 20.
Status labels you may see
| Label | What it means |
|---|---|
| Above 80 | StochRSI is above 80. |
| Middle | Between 20 and 80. |
| Below 20 | StochRSI is below 20. |
What cancels it
Nothing cancels it.
What traders check next
- How often it hits the extremes.
- The level of plain RSI.
- The trend of price.
Limits
- It is very sensitive and noisy.
- Spends little time in the middle.
- Built on a derived series.
Try it in forecastviz
- Open any ticker and choose Momentum oscillators → Stochastic RSI in the left menu.
- Switch between 3M, 6M to see how the picture changes.
- Compare with Relative strength index and Stochastic oscillator on the same chart.
Questions
Why use it?
It shows more detail when RSI is flat.
Is it more reliable?
No. It is faster, which also means more noise.
Related trends
Further reading
- Wilder, New Concepts in Technical Trading Systems
- Appel, Technical Analysis: Power Tools for Active Investors
- Murphy, Technical Analysis of the Financial Markets
- Kaufman, Trading Systems and Methods
Educational only. Not financial advice, and not a price forecast. Charts are drawn by code from past price data, which may be delayed.