indica 0.1.0

Fast technical analysis indicators for stock markets — SMA, EMA, RSI, MACD, Bollinger Bands, ATR, and more
Documentation 
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use napi_derive::napi;
use crate::batch::{StockData, batch_compute_parallel};

// ── Simple indicator functions (for single stock use) ──

#[napi]
pub fn calc_sma(values: Vec<f64>, period: u32) -> Option<f64> {
    crate::sma(&values, period as usize)
}

#[napi]
pub fn calc_ema(values: Vec<f64>, period: u32) -> Option<f64> {
    crate::ema(&values, period as usize)
}

#[napi]
pub fn calc_rsi(closes: Vec<f64>, period: u32) -> Option<f64> {
    crate::rsi(&closes, period as usize)
}

#[napi]
pub fn calc_atr(highs: Vec<f64>, lows: Vec<f64>, closes: Vec<f64>, period: u32) -> Option<f64> {
    crate::atr(&highs, &lows, &closes, period as usize)
}

#[napi]
pub fn calc_volume_trend(volumes: Vec<f64>) -> String {
    crate::volume_trend(&volumes).to_string()
}

#[napi]
pub fn calc_relative_strength(stock: Vec<f64>, benchmark: Vec<f64>, period: u32) -> Option<f64> {
    crate::relative_strength(&stock, &benchmark, period as usize)
}

// ── Struct results (returned as JS objects) ──

#[napi(object)]
pub struct JsMacdResult {
    pub value: f64,
    pub signal: f64,
    pub histogram: f64,
    pub crossover: String,
}

#[napi]
pub fn calc_macd(closes: Vec<f64>, fast: u32, slow: u32, signal: u32) -> Option<JsMacdResult> {
    crate::macd(&closes, fast as usize, slow as usize, signal as usize).map(|r| JsMacdResult {
        value: r.value,
        signal: r.signal,
        histogram: r.histogram,
        crossover: match r.crossover {
            crate::Crossover::Bullish => "bullish".to_string(),
            crate::Crossover::Bearish => "bearish".to_string(),
            crate::Crossover::None => "none".to_string(),
        },
    })
}

#[napi(object)]
pub struct JsBollingerBands {
    pub upper: f64,
    pub middle: f64,
    pub lower: f64,
    pub percent_b: f64,
}

#[napi]
pub fn calc_bollinger_bands(closes: Vec<f64>, period: u32, std_dev: f64) -> Option<JsBollingerBands> {
    crate::bollinger_bands(&closes, period as usize, std_dev).map(|r| JsBollingerBands {
        upper: r.upper,
        middle: r.middle,
        lower: r.lower,
        percent_b: r.percent_b,
    })
}

#[napi(object)]
pub struct JsPivotPoints {
    pub r3: f64,
    pub r2: f64,
    pub r1: f64,
    pub pivot: f64,
    pub s1: f64,
    pub s2: f64,
    pub s3: f64,
}

#[napi]
pub fn calc_pivot_points(high: f64, low: f64, close: f64) -> JsPivotPoints {
    let r = crate::pivot_points(high, low, close);
    JsPivotPoints {
        r3: r.r3, r2: r.r2, r1: r.r1,
        pivot: r.pivot,
        s1: r.s1, s2: r.s2, s3: r.s3,
    }
}

// ── Batch processing (the main payoff) ──

#[napi(object)]
pub struct JsStockData {
    pub symbol: String,
    pub closes: Vec<f64>,
    pub highs: Vec<f64>,
    pub lows: Vec<f64>,
    pub volumes: Vec<f64>,
}

#[napi(object)]
pub struct JsIndicatorSnapshot {
    pub symbol: String,
    pub sma_20: Option<f64>,
    pub sma_50: Option<f64>,
    pub sma_200: Option<f64>,
    pub ema_20: Option<f64>,
    pub rsi_14: Option<f64>,
    pub macd: Option<JsMacdResult>,
    pub bollinger: Option<JsBollingerBands>,
    pub atr_14: Option<f64>,
    pub volume_trend: String,
}

#[napi]
pub fn batch_compute_indicators(stocks: Vec<JsStockData>) -> Vec<JsIndicatorSnapshot> {
    let stock_data: Vec<StockData> = stocks
        .into_iter()
        .map(|s| StockData {
            symbol: s.symbol,
            closes: s.closes,
            highs: s.highs,
            lows: s.lows,
            volumes: s.volumes,
        })
        .collect();

    batch_compute_parallel(&stock_data)
        .into_iter()
        .map(|snap| JsIndicatorSnapshot {
            symbol: snap.symbol,
            sma_20: snap.sma_20,
            sma_50: snap.sma_50,
            sma_200: snap.sma_200,
            ema_20: snap.ema_20,
            rsi_14: snap.rsi_14,
            macd: snap.macd_result.map(|m| JsMacdResult {
                value: m.value,
                signal: m.signal,
                histogram: m.histogram,
                crossover: match m.crossover {
                    crate::Crossover::Bullish => "bullish".to_string(),
                    crate::Crossover::Bearish => "bearish".to_string(),
                    crate::Crossover::None => "none".to_string(),
                },
            }),
            bollinger: snap.bollinger.map(|b| JsBollingerBands {
                upper: b.upper,
                middle: b.middle,
                lower: b.lower,
                percent_b: b.percent_b,
            }),
            atr_14: snap.atr_14,
            volume_trend: snap.volume_trend,
        })
        .collect()
}