StochRSI

Stochastic RSI — the Stochastic Oscillator formula applied to the RSI series, sharpening RSI's overbought/oversold turns.

Quick reference

Field	Value
Family	Momentum Oscillators
Input type	f64 (single close)
Output type	f64
Output range	[0, 100]
Default parameters	(rsi_period = 14, stoch_period = 14) (Python)
Warmup period	rsi_period + stoch_period
Interpretation	Where RSI sits in its own recent range; near 0/100 = extremes.

Formula

RSI_t    = Rsi(rsi_period) of price
StochRSI = 100 · (RSI_t − min(RSI, stoch_period)) / (max(RSI, …) − min(RSI, …))

RSI rarely visits its 0/100 extremes — it spends most of its life bunched around the middle. StochRSI re-normalises it: it asks where the current RSI sits within its own high/low range over the last stoch_period bars. The result swings the full [0, 100] width far more often than raw RSI, so reversals are easier to spot.

Parameters

Name	Type	Default	Valid range	Description
rsi_period	usize	14 (Python)	>= 1	Period of the underlying RSI. 0 errors with Error::PeriodZero.
stoch_period	usize	14 (Python)	>= 1	Lookback for the high/low range of RSI. 0 errors with Error::PeriodZero.

The Python binding defaults the pair to (14, 14) via #[pyo3(signature = (rsi_period=14, stoch_period=14))]. Node and WASM take both explicitly. The periods property returns (rsi_period, stoch_period).

Inputs / Outputs

From crates/wickra-core/src/indicators/stoch_rsi.rs:

use wickra::{Indicator, StochRsi};
// StochRsi: Input = f64, Output = f64
const _: fn(&mut StochRsi, f64) -> Option<f64> = <StochRsi as Indicator>::update;

A single f64 close in, an Option<f64> out. Python maps this to float | None / numpy.ndarray (NaN warmup); Node to number | null / Array<number> (NaN warmup).

Warmup

StochRsi::new(rsi_period, stoch_period).warmup_period() == rsi_period + stoch_period. The inner RSI emits its first value on input rsi_period + 1; the stochastic window then needs stoch_period RSI values, so the first non-None output lands on input rsi_period + stoch_period.

Edge cases

• Flat RSI window. When every RSI value in the window is equal — for example a constant price (RSI pinned at 50) or a pure trend (RSI pinned at 100) — the range is zero and StochRSI reports the neutral 50.0 (flat_rsi_window_yields_50 and pure_uptrend_yields_50 pin this).
• Bounds. The output is always within [0, 100] (output_stays_within_0_100 pins this).
• NaN / infinity inputs. Non-finite inputs are silently dropped; the RSI and the window are not advanced.
• Reset. stoch_rsi.reset() clears the inner RSI and the window.

Examples

Rust

use wickra::{BatchExt, Indicator, StochRsi};

fn main() -> Result<(), Box<dyn std::error::Error>> {
    let mut sr = StochRsi::new(14, 14)?;
    let prices: Vec<f64> = (1..=60)
        .map(|i| 100.0 + (f64::from(i) * 0.3).sin() * 10.0)
        .collect();
    let out = sr.batch(&prices);
    println!("warmup_period = {}", sr.warmup_period());
    println!("ready values: {}", out.iter().flatten().count());
    Ok(())
}

Output:

warmup_period = 28
ready values: 33

The first 27 inputs return None; from input 28 onward every output is a defined [0, 100] value.

Python

import numpy as np
import wickra as ta

sr = ta.StochRSI()  # (rsi_period=14, stoch_period=14)
prices = np.full(40, 100.0)  # constant series
print(sr.batch(prices)[-1])  # flat RSI window -> neutral 50

Output:

50.0

Node

const ta = require('wickra');
const sr = new ta.StochRSI(14, 14);
const prices = Array.from({ length: 60 }, (_, i) => 100 + Math.sin(i * 0.3) * 10);
console.log('warmupPeriod:', sr.warmupPeriod());

Interpretation

StochRsi is read like any [0, 100] oscillator, but with tighter thresholds because it saturates so readily: above 80 is overbought, below 20 oversold, and the 50 line is the midpoint. Because it is two oscillators deep, it is fast and noisy — excellent for spotting short-term turns, poor as a standalone trend filter. Many traders smooth it further (an SMA of StochRSI) and trade the crossover.

Common pitfalls

• Using it as a trend filter. StochRsi whipsaws; confirm with a slower indicator before acting on a raw threshold cross.
• Forgetting the stacked warmup. Warmup is rsi_period + stoch_period — for the default (14, 14) that is 28 bars.
• Expecting raw-RSI values. StochRsi is a position within range, not RSI itself; the two are not interchangeable.

References

Tushar Chande and Stanley Kroll, The New Technical Trader (1994). The implementation is the standard Stochastic-of-RSI; the flat-window convention (50) matches this library's Stochastic.

See also

• Indicator-Rsi — the underlying oscillator.
• Indicator-Stochastic — the same formula on price instead of RSI.
• Indicators-Overview — the full taxonomy.