2026-06-06 17:16:32 +01:00
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use crate::broker::Broker;
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pub struct Stats {
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pub initial_cash: f64,
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pub final_cash: f64,
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pub total_return_pct: f64,
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pub num_trades: usize,
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pub num_wins: usize,
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pub win_rate_pct: f64,
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pub avg_pnl: f64,
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pub best_trade: f64,
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pub worst_trade: f64,
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pub profit_factor: f64,
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2026-06-08 23:55:42 +01:00
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pub max_drawdown_pct: f64
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}
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fn max_drawdown(equity_curve: &[f64]) -> f64 {
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let mut peak = f64::NEG_INFINITY;
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let mut max_dd = 0.0f64;
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for &equity in equity_curve {
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if equity > peak {
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peak = equity;
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}
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if peak > 0.0 {
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let dd = (peak - equity) / peak * 100.0;
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if dd > max_dd {
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max_dd = dd;
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}
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}
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}
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max_dd
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2026-06-06 17:16:32 +01:00
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}
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impl Stats {
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2026-06-08 23:55:42 +01:00
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pub fn compute(broker: &Broker, equity_curve: &[f64]) -> Self {
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2026-06-06 17:16:32 +01:00
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let num_trades = broker.trade_history.len();
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2026-06-08 23:55:42 +01:00
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let initial_cash = broker.initial_cash;
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2026-06-06 17:16:32 +01:00
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let final_cash = broker.cash;
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let total_return_pct = (final_cash - initial_cash) / initial_cash * 100.0;
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let num_wins = broker.trade_history.iter().filter(|t| t.pnl > 0.0).count();
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let win_rate_pct = if num_trades > 0 {
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num_wins as f64 / num_trades as f64 * 100.0
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} else { 0.0 };
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let avg_pnl = if num_trades > 0 {
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broker.trade_history.iter().map(|t| t.pnl).sum::<f64>() / num_trades as f64
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} else { 0.0 };
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let best_trade = broker.trade_history.iter().map(|t| t.pnl)
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.fold(f64::NEG_INFINITY, f64::max);
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let worst_trade = broker.trade_history.iter().map(|t| t.pnl)
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.fold(f64::INFINITY, f64::min);
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let gross_profit: f64 = broker.trade_history.iter()
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.filter(|t| t.pnl > 0.0).map(|t| t.pnl).sum();
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let gross_loss: f64 = broker.trade_history.iter()
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.filter(|t| t.pnl < 0.0).map(|t| t.pnl.abs()).sum();
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let profit_factor = if gross_loss > 0.0 { gross_profit / gross_loss } else {
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f64::INFINITY };
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2026-06-08 23:55:42 +01:00
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let max_drawdown_pct = max_drawdown(equity_curve);
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2026-06-06 17:16:32 +01:00
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Stats {
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initial_cash,
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final_cash,
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total_return_pct,
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num_trades,
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num_wins,
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win_rate_pct,
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avg_pnl,
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best_trade: if num_trades > 0 { best_trade } else { 0.0 },
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worst_trade: if num_trades > 0 { worst_trade } else { 0.0 },
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profit_factor,
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2026-06-08 23:55:42 +01:00
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max_drawdown_pct
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2026-06-06 17:16:32 +01:00
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}
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}
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}
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impl std::fmt::Display for Stats {
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fn fmt(&self, f: &mut std::fmt::Formatter<'_>) -> std::fmt::Result {
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write!(f,
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"--- Backtest Results ---\n\
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Initial Cash: {:.2}\n\
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Final Cash: {:.2}\n\
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Total Return: {:.2}%\n\
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Trades: {}\n\
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Win Rate: {:.1}%\n\
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Avg PnL: {:.5}\n\
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Best Trade: {:.5}\n\
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Worst Trade: {:.5}\n\
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Profit Factor: {:.2}\n\
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Max Drawdown: {:.2}%",
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2026-06-06 17:16:32 +01:00
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self.initial_cash, self.final_cash, self.total_return_pct,
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self.num_trades, self.win_rate_pct, self.avg_pnl,
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self.best_trade, self.worst_trade, self.profit_factor,
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self.max_drawdown_pct
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)
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}
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}
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