A multi-language technical analysis library: 25 indicators across trend,
momentum, volatility, and volume families, every one a state machine with
O(1) per-tick updates. Batch evaluation is provided by a blanket extension
trait over the streaming primitive, so live trading bots and historical
backtests run the same code path.
What ships in this initial drop:
crates/wickra-core - 25 indicators, Indicator/BatchExt/Chain traits,
OHLCV types with validation; 171 unit tests,
property tests, Wilder/Bollinger textbook tests.
crates/wickra - top-level facade + criterion benches for every
indicator at 1K/10K/100K series sizes.
crates/wickra-data - streaming CSV reader, tick-to-candle aggregator,
multi-timeframe resampler, Binance Spot kline
WebSocket adapter behind feature live-binance;
11 unit + 1 doctest.
bindings/python - PyO3 + maturin, NumPy I/O, type stubs (.pyi),
56 pytest tests including streaming==batch
equivalence, Wilder reference values, lifecycle.
bindings/node - napi-rs native module, TypeScript .d.ts
auto-generated, 7 node --test cases.
bindings/wasm - wasm-bindgen ES module for browser/bundler/Node;
interactive HTML demo at examples/index.html.
examples/ - Python and Rust scripts: backtest, live trading,
parallel multi-asset, multi-timeframe, Binance.
benchmarks/ - cross-library comparison against TA-Lib,
pandas-ta, finta, talipp; Wickra wins every
category by 11-1030x (batch) and 17x+ streaming.
.github/workflows/ - CI matrix (Rust + Python + Node + WASM on
Linux/macOS/Windows), release pipeline for
PyPI wheels and npm.
Indicators (25):
Trend SMA EMA WMA DEMA TEMA HMA KAMA
Momentum RSI MACD Stochastic CCI ROC WilliamsR ADX MFI TRIX
AwesomeOscillator Aroon
Volatility BollingerBands ATR Keltner Donchian PSAR
Volume OBV VWAP (cumulative + rolling)
cargo clippy --workspace --all-targets -D warnings is clean. License: Apache-2.0.
160 lines
4.3 KiB
Rust
160 lines
4.3 KiB
Rust
//! On-Balance Volume.
|
|
|
|
use crate::ohlcv::Candle;
|
|
use crate::traits::Indicator;
|
|
|
|
/// On-Balance Volume: a cumulative signed-volume series.
|
|
///
|
|
/// Each candle adds `+volume`, `-volume`, or `0` depending on whether its close
|
|
/// is above, below, or equal to the previous close. The first value (after the
|
|
/// first candle) is conventionally `0`.
|
|
#[derive(Debug, Clone, Default)]
|
|
pub struct Obv {
|
|
prev_close: Option<f64>,
|
|
total: f64,
|
|
has_emitted: bool,
|
|
}
|
|
|
|
impl Obv {
|
|
/// Construct a new OBV instance starting at zero.
|
|
pub const fn new() -> Self {
|
|
Self {
|
|
prev_close: None,
|
|
total: 0.0,
|
|
has_emitted: false,
|
|
}
|
|
}
|
|
|
|
/// Current cumulative value if at least one candle has been ingested.
|
|
pub const fn value(&self) -> Option<f64> {
|
|
if self.has_emitted {
|
|
Some(self.total)
|
|
} else {
|
|
None
|
|
}
|
|
}
|
|
}
|
|
|
|
impl Indicator for Obv {
|
|
type Input = Candle;
|
|
type Output = f64;
|
|
|
|
fn update(&mut self, candle: Candle) -> Option<f64> {
|
|
// The first candle establishes the baseline at 0; subsequent candles
|
|
// add/subtract their volume based on close direction. Equal closes do nothing.
|
|
if let Some(prev) = self.prev_close {
|
|
if candle.close > prev {
|
|
self.total += candle.volume;
|
|
} else if candle.close < prev {
|
|
self.total -= candle.volume;
|
|
}
|
|
}
|
|
self.prev_close = Some(candle.close);
|
|
self.has_emitted = true;
|
|
Some(self.total)
|
|
}
|
|
|
|
fn reset(&mut self) {
|
|
self.prev_close = None;
|
|
self.total = 0.0;
|
|
self.has_emitted = false;
|
|
}
|
|
|
|
fn warmup_period(&self) -> usize {
|
|
1
|
|
}
|
|
|
|
fn is_ready(&self) -> bool {
|
|
self.has_emitted
|
|
}
|
|
|
|
fn name(&self) -> &'static str {
|
|
"OBV"
|
|
}
|
|
}
|
|
|
|
#[cfg(test)]
|
|
mod tests {
|
|
use super::*;
|
|
use crate::traits::BatchExt;
|
|
use approx::assert_relative_eq;
|
|
|
|
fn c(close: f64, volume: f64) -> Candle {
|
|
Candle::new(close, close, close, close, volume, 0).unwrap()
|
|
}
|
|
|
|
#[test]
|
|
fn first_candle_baseline_zero() {
|
|
let mut obv = Obv::new();
|
|
assert_relative_eq!(obv.update(c(10.0, 100.0)).unwrap(), 0.0, epsilon = 1e-12);
|
|
}
|
|
|
|
#[test]
|
|
fn up_close_adds_volume() {
|
|
let mut obv = Obv::new();
|
|
obv.update(c(10.0, 100.0)); // baseline 0
|
|
let v = obv.update(c(11.0, 50.0)).unwrap();
|
|
assert_relative_eq!(v, 50.0, epsilon = 1e-12);
|
|
}
|
|
|
|
#[test]
|
|
fn down_close_subtracts_volume() {
|
|
let mut obv = Obv::new();
|
|
obv.update(c(10.0, 100.0));
|
|
let v = obv.update(c(9.0, 50.0)).unwrap();
|
|
assert_relative_eq!(v, -50.0, epsilon = 1e-12);
|
|
}
|
|
|
|
#[test]
|
|
fn equal_close_does_nothing() {
|
|
let mut obv = Obv::new();
|
|
obv.update(c(10.0, 100.0));
|
|
let v = obv.update(c(10.0, 50.0)).unwrap();
|
|
assert_relative_eq!(v, 0.0, epsilon = 1e-12);
|
|
}
|
|
|
|
#[test]
|
|
fn cumulative_sequence() {
|
|
let candles = vec![
|
|
c(10.0, 100.0), // baseline
|
|
c(11.0, 20.0), // +20
|
|
c(10.5, 30.0), // -30
|
|
c(10.5, 40.0), // unchanged
|
|
c(12.0, 10.0), // +10
|
|
];
|
|
let mut obv = Obv::new();
|
|
let out = obv.batch(&candles);
|
|
assert_relative_eq!(out[0].unwrap(), 0.0, epsilon = 1e-12);
|
|
assert_relative_eq!(out[1].unwrap(), 20.0, epsilon = 1e-12);
|
|
assert_relative_eq!(out[2].unwrap(), -10.0, epsilon = 1e-12);
|
|
assert_relative_eq!(out[3].unwrap(), -10.0, epsilon = 1e-12);
|
|
assert_relative_eq!(out[4].unwrap(), 0.0, epsilon = 1e-12);
|
|
}
|
|
|
|
#[test]
|
|
fn batch_equals_streaming() {
|
|
let candles: Vec<Candle> = (0..20)
|
|
.map(|i| {
|
|
let cl = 10.0 + (f64::from(i) * 0.5).sin();
|
|
c(cl, 1.0)
|
|
})
|
|
.collect();
|
|
let mut a = Obv::new();
|
|
let mut b = Obv::new();
|
|
assert_eq!(
|
|
a.batch(&candles),
|
|
candles.iter().map(|x| b.update(*x)).collect::<Vec<_>>()
|
|
);
|
|
}
|
|
|
|
#[test]
|
|
fn reset_clears_state() {
|
|
let mut obv = Obv::new();
|
|
obv.batch(&[c(10.0, 50.0), c(11.0, 30.0)]);
|
|
assert!(obv.is_ready());
|
|
obv.reset();
|
|
assert!(!obv.is_ready());
|
|
assert_eq!(obv.value(), None);
|
|
}
|
|
}
|