Add options stats holding time metrics and lightweight charts.
Show average hold duration for wins and losses, open positions, and CSS ring/bar visualizations in the stats tab. Co-authored-by: Cursor <cursoragent@cursor.com>
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@@ -666,43 +666,9 @@ def register_options_routes(app: Flask, cfg: dict[str, Any]) -> None:
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ex, err = _require_options_ex(cfg)
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if ex is None:
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return jsonify({"ok": False, "msg": err})
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from lib.instance.instance_embed_context_lib import profit_loss_ratio_from_averages
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from lib.options.options_stats_lib import compute_options_stats
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conn = cfg["get_db"]()
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try:
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init_options_tables(conn)
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rows = conn.execute(
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"""
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SELECT realized_pnl FROM options_trades
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WHERE status = 'closed' AND realized_pnl IS NOT NULL
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"""
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).fetchall()
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finally:
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conn.close()
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wins: list[float] = []
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losses: list[float] = []
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for row in rows:
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pnl = float(row["realized_pnl"])
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if pnl > 0:
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wins.append(pnl)
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elif pnl < 0:
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losses.append(pnl)
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total_closed = len(wins) + len(losses)
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win_rate = round(len(wins) / total_closed * 100, 2) if total_closed else 0
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avg_win = sum(wins) / len(wins) if wins else None
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avg_loss = sum(losses) / len(losses) if losses else None
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total_profit = round(sum(wins), 4) if wins else 0.0
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total_loss = round(abs(sum(losses)), 4) if losses else 0.0
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return jsonify(
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{
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"ok": True,
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"total_closed": total_closed,
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"win_rate": win_rate,
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"profit_loss_ratio": profit_loss_ratio_from_averages(avg_win, avg_loss),
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"total_profit": total_profit,
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"total_loss": total_loss,
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}
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)
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return jsonify({"ok": True, **compute_options_stats(cfg["get_db"])})
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@app.route("/api/options/history/<int:trade_id>", methods=["DELETE"])
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@lr
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