tulip_rs 0.1.5

use crate::common::{validate_inputs, validate_options};
pub use crate::indicator_types::TIndicatorState;
use crate::types::{DisplayType, IndicatorError, IndicatorType, Info};
use serde::{Deserialize, Serialize};

/// Number of input price series required by this indicator.
pub const INPUTS_WIDTH: usize = 1;

/// Number of option parameters required by this indicator.
pub const OPTIONS_WIDTH: usize = 1;

/// SIMD-parallel variant that processes `N` assets with identical options simultaneously.
/// Requires the `simd_assets` Cargo feature. See [`by_assets`] for the module form.
#[cfg(feature = "simd_assets")]
pub use crate::indicators::simd_indicators::mom_simd::indicator_by_assets;

/// SIMD-parallel variant that processes a single asset with `N` different option
/// sets simultaneously. Requires the `simd_options` Cargo feature. See [`by_options`].
#[cfg(feature = "simd_options")]
pub use crate::indicators::simd_indicators::mom_simd::indicator_by_options;

/// Convenience module that re-exports [`indicator_by_assets`] as `indicator`,
/// allowing SIMD multi-asset computation to be used as a drop-in replacement
/// for the standard single-asset [`indicator`] function.
/// Requires the `simd_assets` Cargo feature.
#[cfg(feature = "simd_assets")]
pub mod by_assets {
    /// Processes `N` assets in parallel with shared options.
    /// See the parent module's [`super::indicator_by_assets`] for full documentation.
    pub use crate::indicators::simd_indicators::mom_simd::indicator_by_assets as indicator;
}

/// Convenience module that re-exports [`indicator_by_options`] as `indicator`,
/// allowing SIMD multi-option computation to be used as a drop-in replacement
/// for the standard single-asset [`indicator`] function.
/// Requires the `simd_options` Cargo feature.
#[cfg(feature = "simd_options")]
pub mod by_options {
    /// Processes a single asset with `N` different option sets in parallel.
    /// See the parent module's [`super::indicator_by_options`] for full documentation.
    pub use crate::indicators::simd_indicators::mom_simd::indicator_by_options as indicator;
}

/// Returns information about the Momentum (MOM) indicator.
pub fn info() -> Info<'static> {
    Info {
        name: "mom",
        full_name: "Momentum",
        indicator_type: IndicatorType::Momentum,
        display_type: DisplayType::Indicator,
        inputs: &["real"],
        options: &["period"],
        outputs: &["mom"],
        optional_outputs: &[],
    }
}

#[derive(Serialize, Deserialize)]
pub struct IndicatorState {
    real: Vec<f64>,
    period: usize,
}
impl IndicatorState {
    pub fn new(real: &[f64], period: usize) -> Self {
        Self {
            period,
            real: real[real.len() - period..].to_vec(),
        }
    }
}
impl TIndicatorState<1> for IndicatorState {
    fn batch_indicator(
        &mut self,
        inputs: &[&[f64]; INPUTS_WIDTH],
        _optional_outputs: Option<&[bool]>,
    ) -> Result<Vec<Vec<f64>>, IndicatorError> {
        validate_inputs(inputs, 1)?;

        self.real.extend_from_slice(inputs[0]);

        let mut mom_line = crate::uninit_vec!(f64, inputs[0].len());

        cycle_mom(&self.real, self.period, &mut mom_line);

        self.real.drain(..self.real.len() - self.period);

        Ok(vec![mom_line])
    }
}

/// Returns the minimum number of input bars required to produce accurate results.
///
/// For this indicator accuracy does not depend on decimal precision, so
/// this always returns the same value as [`min_data`].
///
/// # Arguments
///
/// * `options` - A slice containing the indicator options.
/// * `_decimals` - Unused. Accuracy is independent of decimal precision for this indicator.
///
/// # Returns
///
/// The minimum number of input bars required, identical to [`min_data`].
pub fn min_data_accuracy(options: &[f64], _decimals: usize) -> usize {
    min_data(options)
}
/// Returns the minimum amount of data required for the MOM indicator.
pub fn min_data(options: &[f64]) -> usize {
    options[0] as usize + 1
}
/// Returns the output length for the MOM indicator.
///
/// # Arguments
///
/// * `data_len` - The length of the input data.
/// * `options` - A slice containing the options for the MOM calculation (e.g. `period`).
///
/// # Returns
///
/// The number of output values produced.
pub fn output_length(data_len: usize, options: &[f64]) -> usize {
    data_len - min_data(options) + 1
}

/// Calculates the Momentum (MOM) indicator over the full input dataset.
///
/// # Inputs
///
/// * `inputs[0]` — real (a price series, e.g. close)
///
/// # Options
///
/// * `options[0]` — period
///
/// # Arguments
///
/// * `inputs` - Array of input price slices (see Inputs above).
/// * `options` - Array of indicator options (see Options above).
/// * `_optional_outputs` - Unused; this indicator has no optional outputs.
///
/// # Returns
///
/// `Ok((outputs, state))` where `outputs[0]` is the `mom` line and
/// `state` can be passed to `IndicatorState::batch_indicator` for streaming.
/// Returns `Err(IndicatorError)` if inputs are too short or options are invalid.
pub fn indicator(
    inputs: &[&[f64]; INPUTS_WIDTH],
    options: &[f64; OPTIONS_WIDTH],
    _optional_outputs: Option<&[bool]>,
) -> Result<(Vec<Vec<f64>>, IndicatorState), IndicatorError> {
    validate_options(options)?;
    let period = options[0] as usize;

    validate_inputs(inputs, min_data(options))?;
    let real = inputs[0];

    let mut mom_line = {
        let capacity = output_length(real.len(), options);
        crate::uninit_vec!(f64, capacity)
    };

    cycle_mom(real, period, &mut mom_line);

    Ok((vec![mom_line], IndicatorState::new(real, period)))
}

/// Iterates over the input data and applies the calc function.
fn cycle_mom(real: &[f64], period: usize, mom_line: &mut [f64]) {
    for (j, i) in (period..real.len()).enumerate() {
        unsafe {
            *mom_line.get_unchecked_mut(j) = calc(*real.get_unchecked(i), *real.get_unchecked(j))
        };
    }
}

/// Performs the core calculation for the Momentum (MOM) indicator.
#[inline(always)]
pub fn calc(real: f64, prev_real: f64) -> f64 {
    real - prev_real
}