Completes the F3 family (Momentum) end to end: - Rust core: mom.rs (raw price-difference momentum), cmo.rs (Chande Momentum Oscillator — unsmoothed gain/loss sum, bounded [-100,100]), tsi.rs (True Strength Index — double-EMA-smoothed momentum ratio), pmo.rs (DecisionPoint Price Momentum Oscillator — doubly-smoothed ROC with the 2/period custom smoothing). Each with a full Indicator impl, runnable doctest and reference-value / saturation / warmup / reset / batch==streaming / non-finite tests. - Python: PyMom / PyCmo / PyTsi / PyPmo PyO3 classes + module registration + .pyi stubs (defaults MOM=10, CMO=14, TSI=(25,13), PMO=(35,20)). - Node: MomNode / CmoNode via the scalar macro, explicit TsiNode and PmoNode; index.d.ts and index.js updated. - WASM: WasmMom / WasmCmo / WasmTsi / WasmPmo via the scalar macro. - Wiki: Indicator-Mom/Cmo/Tsi/Pmo.md plus rows in Indicators-Overview.md and entries in Home.md. cargo fmt + clippy (core/wickra/data/wasm/node) clean; 262 core tests, 25 data tests and 37 doctests green.
5.0 KiB
TSI
True Strength Index — a double-smoothed momentum oscillator that strips noise while keeping a clean, zero-centred read on trend pressure.
Quick reference
| Field | Value |
|---|---|
| Family | Momentum |
| Sub-category | Unbounded oscillators |
| Input type | f64 (single close) |
| Output type | f64 |
| Output range | roughly [−100, 100], centred on zero |
| Default parameters | (long = 25, short = 13) (Python) |
| Warmup period | long + short |
| Interpretation | Positive = net upward pressure, negative = net downward. |
Formula
momentum_t = price_t − price_{t−1}
TSI = 100 · EMA_short(EMA_long(momentum)) / EMA_short(EMA_long(|momentum|))
The 1-bar momentum and its absolute value are each smoothed twice — first
with an EMA of length long, then with an EMA of length short. The
ratio of the two double-smoothed series normalises the result: when every
recent move is up, numerator and denominator are equal and TSI saturates
at +100; when every move is down, at −100.
Parameters
| Name | Type | Default | Valid range | Description |
|---|---|---|---|---|
long |
usize |
25 (Python) |
>= 1 |
First (slow) smoothing length. 0 errors with Error::PeriodZero. |
short |
usize |
13 (Python) |
>= 1 |
Second (fast) smoothing length. 0 errors with Error::PeriodZero. |
The Python binding defaults the pair to (25, 13) via
#[pyo3(signature = (long=25, short=13))]. Node and WASM take both
explicitly. The periods property returns (long, short).
Inputs / Outputs
From crates/wickra-core/src/indicators/tsi.rs:
impl Indicator for Tsi {
type Input = f64;
type Output = f64;
// update(&mut self, input: f64) -> Option<f64>
}
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
Tsi::new(long, short).warmup_period() == long + short. The momentum
series starts on input 2; the SMA-seeded long EMA seeds at input
long + 1, and the short EMA stacked on top seeds short − 1 inputs
later, so the first non-None output lands on input long + short.
Edge cases
- Pure trend. A monotone rising series saturates at
+100, a falling one at−100—|momentum|equalsmomentum(or its negative), so the ratio is±1(pure_uptrend_saturates_at_plus_100/pure_downtrend_saturates_at_minus_100pin this). - Constant series. Every momentum is
0; the0 / 0is guarded and the output is0.0(constant_series_yields_zeropins this). - NaN / infinity inputs. Non-finite inputs are silently dropped; the smoothing chains are not advanced.
- Reset.
tsi.reset()clears the previous price and all four EMAs.
Examples
Rust
use wickra::{BatchExt, Indicator, Tsi};
fn main() -> Result<(), Box<dyn std::error::Error>> {
let prices: Vec<f64> = (1..=40).map(f64::from).collect();
let mut tsi = Tsi::new(5, 3)?;
let out = tsi.batch(&prices);
println!("warmup_period = {}", tsi.warmup_period());
println!("last = {:?}", out.last().unwrap());
Ok(())
}
Output:
warmup_period = 8
last = Some(100.0)
A pure ramp has a constant +1 momentum, so the double-smoothed ratio is
exactly 1 and TSI saturates at +100. This matches the
pure_uptrend_saturates_at_plus_100 test in
crates/wickra-core/src/indicators/tsi.rs.
Python
import numpy as np
import wickra as ta
tsi = ta.TSI() # (long=25, short=13)
prices = np.linspace(100.0, 80.0, 60) # steady downtrend
out = tsi.batch(prices)
print("last =", out[-1])
Output:
last = -100.0
Node
const ta = require('wickra');
const tsi = new ta.TSI(25, 13);
const prices = Array.from({ length: 60 }, (_, i) => 100 + i);
console.log('last:', tsi.batch(prices).at(-1));
Interpretation
Tsi is a low-noise momentum oscillator. The standard signals are the
zero-line cross (momentum changing sign), overbought/oversold extremes
near ±25 for the default settings, and a signal-line cross — many
traders overlay an EMA of TSI and trade the crossover. The double
smoothing makes divergences unusually clean compared with raw momentum.
Common pitfalls
- Reading it as a
[0, 100]oscillator. TSI is centred on zero and signed;+25is "strong up", not "mid-range". - Under-budgeting warmup. Warmup is
long + short— for the default(25, 13)that is 38 bars.
References
William Blau, "True Strength Index", Technical Analysis of Stocks & Commodities (1991), and Momentum, Direction, and Divergence (1995). The double-EMA-of-momentum definition here follows Blau's original.
See also
- Indicator-Mom.md — the raw momentum TSI smooths.
- Indicator-MacdIndicator.md — another EMA-difference momentum oscillator with a signal line.
- Indicators-Overview.md — the full taxonomy.