Struct LinearRegression 

pub struct LinearRegression {
    pub params: LrParams,
}

Fields

params: LrParams

Implementations

impl LinearRegression

pub fn new(params: LrParams) -> Self

pub fn with_period(period: usize) -> Self

Trait Implementations

impl Clone for LinearRegression

fn clone(&self) -> LinearRegression

Returns a duplicate of the value.

fn clone_from(&mut self, source: &Self)

Performs copy-assignment from source.

impl Debug for LinearRegression

fn fmt(&self, f: &mut Formatter<'_>) -> Result

Formats the value using the given formatter.

impl Indicator for LinearRegression

fn calculate( &self, candles: &[Candle], ) -> Result<IndicatorOutput, IndicatorError>

Ports rolling(window=period).apply(lambda y: np.polyfit(X, y, 1)[0]).

OLS slope = Σ(xᵢ − x̄)(yᵢ − ȳ) / Σ(xᵢ − x̄)² where xᵢ = i. This is algebraically identical to np.polyfit’s degree-1 coefficient.

fn name(&self) -> &'static str

Short canonical name, e.g. "SMA", "RSI", "MACD".

fn required_len(&self) -> usize

Minimum number of candles required before output is non-NaN. Mirrors Python’s implicit warm-up period used for validation.

fn required_columns(&self) -> &[&'static str]

Which OHLCV fields this indicator reads.

fn check_len(&self, candles: &[Candle]) -> Result<(), IndicatorError>

Validate that enough data was supplied, returning a descriptive error if not.