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Help Center/Indicators/StochRSI (Stochastic RSI)

StochRSI (Stochastic RSI)

📈Indicators
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StochRSI (Stochastic RSI)

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What is StochRSI?

Stochastic RSI (StochRSI) applies the Stochastic oscillator formula to RSI values instead of price data. Developed by Tushar Chande and Stanley Kroll, it is a more sensitive indicator than standard RSI, oscillating between 0 and 100. It identifies overbought/oversold conditions within the RSI itself.

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How it works

StochRSI applies the Stochastic formula to RSI:

StochRSI = (RSI - Lowest RSI(N)) / (Highest RSI(N) - Lowest RSI(N)) * 100
%K = SMA(StochRSI, k_period)
%D = SMA(%K, d_period)

This creates a faster oscillator that reaches extreme levels more frequently.

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Key levels

  • Above 80 — Overbought zone
  • Below 20 — Oversold zone
  • 50 — Midpoint, potential support/resistance
  • %K/%D crossovers — Signal line crossover triggers
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Trading signals

Buy signals

  • StochRSI crosses above 20 from below (exiting oversold)
  • %K crosses above %D below 20 (bullish crossover in oversold zone)
  • StochRSI rebounds from 0 area

Sell signals

  • StochRSI crosses below 80 from above (exiting overbought)
  • %K crosses below %D above 80 (bearish crossover in overbought zone)
  • StochRSI reverses from 100 area
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Parameters

| Parameter | Default | Description | |-----------|---------|-------------| | RSI Period | 14 | Period for the underlying RSI | | Stoch Period | 14 | Lookback for Stochastic calculation | | %K Smoothing | 3 | Smoothing period for %K line | | %D Smoothing | 3 | Smoothing period for %D (signal) line |

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Example conditions

| Condition | Meaning | |-----------|---------| | STOCHRSI(14,14,3,3) < 20 | StochRSI oversold | | STOCHRSI(14,14,3,3) > 80 | StochRSI overbought | | STOCHRSI(14,14,3,3) cross_over 20 | Exiting oversold (buy) | | STOCHRSI(14,14,3,3) cross_under 80 | Exiting overbought (sell) |

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Tips

  • StochRSI is more volatile than RSI — expect more frequent signals and whipsaws
  • Best for identifying short-term overbought/oversold conditions
  • In strong trends, StochRSI can remain at extremes — use trend filters
  • The %K/%D crossover within extreme zones gives the highest probability signals
  • Reduce false signals by using longer smoothing periods (5-7 for %K and %D)
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