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ferro-ta/src/momentum/cci.rs
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2026-03-23 23:34:28 +05:30
use crate::validation;
use numpy::{IntoPyArray, PyArray1, PyReadonlyArray1};
use pyo3::prelude::*;
/// Commodity Channel Index (TA-Libcompatible): (typical_price - SMA) / (0.015 * MAD).
#[pyfunction]
#[pyo3(signature = (high, low, close, timeperiod = 14))]
pub fn cci<'py>(
py: Python<'py>,
high: PyReadonlyArray1<'py, f64>,
low: PyReadonlyArray1<'py, f64>,
close: PyReadonlyArray1<'py, f64>,
timeperiod: usize,
) -> PyResult<Bound<'py, PyArray1<f64>>> {
validation::validate_timeperiod(timeperiod, "timeperiod", 1)?;
let highs = high.as_slice()?;
let lows = low.as_slice()?;
let closes = close.as_slice()?;
let n = highs.len();
validation::validate_equal_length(&[
(n, "high"),
(lows.len(), "low"),
(closes.len(), "close"),
])?;
let tp: Vec<f64> = highs
.iter()
.zip(lows.iter())
.zip(closes.iter())
.map(|((&h, &l), &c)| (h + l + c) / 3.0)
.collect();
let mut result = vec![f64::NAN; n];
for i in (timeperiod - 1)..n {
let window = &tp[(i + 1 - timeperiod)..=i];
let mean: f64 = window.iter().sum::<f64>() / timeperiod as f64;
let mad: f64 = window.iter().map(|&x| (x - mean).abs()).sum::<f64>() / timeperiod as f64;
result[i] = if mad != 0.0 {
(tp[i] - mean) / (0.015 * mad)
} else {
0.0
};
}
Ok(result.into_pyarray(py))
}