Source code for ferro_ta.indicators.volume

"""
Volume Indicators — Require volume data to measure buying and selling pressure.

Functions
---------
AD    — Chaikin A/D Line
ADOSC — Chaikin A/D Oscillator
OBV   — On Balance Volume
"""

from __future__ import annotations

import numpy as np
from numpy.typing import ArrayLike

from ferro_ta._ferro_ta import (
    ad as _ad,
)
from ferro_ta._ferro_ta import (
    adosc as _adosc,
)
from ferro_ta._ferro_ta import (
    obv as _obv,
)
from ferro_ta._utils import _to_f64
from ferro_ta.core.exceptions import _normalize_rust_error






[docs] def ADOSC( high: ArrayLike, low: ArrayLike, close: ArrayLike, volume: ArrayLike, fastperiod: int = 3, slowperiod: int = 10, ) -> np.ndarray: """Chaikin A/D Oscillator. Parameters ---------- high : array-like Sequence of high prices. low : array-like Sequence of low prices. close : array-like Sequence of closing prices. volume : array-like Sequence of volume values. fastperiod : int, optional Fast EMA period (default 3). slowperiod : int, optional Slow EMA period (default 10). Returns ------- numpy.ndarray Array of ADOSC values; leading ``slowperiod - 1`` entries are ``NaN``. """ try: return _adosc( _to_f64(high), _to_f64(low), _to_f64(close), _to_f64(volume), fastperiod, slowperiod, ) except ValueError as e: _normalize_rust_error(e)
[docs] def OBV(close: ArrayLike, volume: ArrayLike) -> np.ndarray: """On Balance Volume. Parameters ---------- close : array-like Sequence of closing prices. volume : array-like Sequence of volume values. Returns ------- numpy.ndarray Cumulative OBV values. """ try: return _obv(_to_f64(close), _to_f64(volume)) except ValueError as e: _normalize_rust_error(e)
__all__ = ["AD", "ADOSC", "OBV"]