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Align options realtime PnL with bid-net and show totals in stats.

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Header float PnL now uses bid recycle minus premium like position cards. Stats adds realized/open/total net PnL.

Co-authored-by: Cursor <cursoragent@cursor.com>
This commit is contained in:
dekun
2026-07-15 22:00:45 +08:00
parent 60f3437c73
commit ee7be3e7f3
14 changed files with 198 additions and 19 deletions
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lib/options/options_stats_lib.py
+12 -4
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@@ -75,6 +75,9 @@ def compute_options_stats_from_history(history: list[dict[str, Any]]) -> dict[st
avg_win = sum(wins) / len(wins) if wins else None
avg_loss = sum(losses) / len(losses) if losses else None
total_profit = round(sum(wins), 4) if wins else 0.0
total_loss = round(abs(sum(losses)), 4) if losses else 0.0
net_realized = round(sum(wins) + sum(losses), 4)
return {
"total_closed": total_closed,
"win_count": len(wins),
@@ -83,8 +86,9 @@ def compute_options_stats_from_history(history: list[dict[str, Any]]) -> dict[st
"profit_loss_ratio": profit_loss_ratio_from_averages(avg_win, avg_loss),
"avg_win": round(avg_win, 4) if avg_win is not None else None,
"avg_loss": round(abs(avg_loss), 4) if avg_loss is not None else None,
"total_profit": round(sum(wins), 4) if wins else 0.0,
"total_loss": round(abs(sum(losses)), 4) if losses else 0.0,
"total_profit": total_profit,
"total_loss": total_loss,
"net_realized_pnl": net_realized,
"avg_hold_sec": _avg_seconds(all_holds),
"avg_win_hold_sec": _avg_seconds(win_holds),
"avg_loss_hold_sec": _avg_seconds(loss_holds),
@@ -147,6 +151,9 @@ def compute_options_stats(get_db) -> dict[str, Any]:
avg_win = sum(wins) / len(wins) if wins else None
avg_loss = sum(losses) / len(losses) if losses else None
total_profit = round(sum(wins), 4) if wins else 0.0
total_loss = round(abs(sum(losses)), 4) if losses else 0.0
net_realized = round(sum(wins) + sum(losses), 4)
return {
"total_closed": total_closed,
"win_count": len(wins),
@@ -155,8 +162,9 @@ def compute_options_stats(get_db) -> dict[str, Any]:
"profit_loss_ratio": profit_loss_ratio_from_averages(avg_win, avg_loss),
"avg_win": round(avg_win, 4) if avg_win is not None else None,
"avg_loss": round(abs(avg_loss), 4) if avg_loss is not None else None,
"total_profit": round(sum(wins), 4) if wins else 0.0,
"total_loss": round(abs(sum(losses)), 4) if losses else 0.0,
"total_profit": total_profit,
"total_loss": total_loss,
"net_realized_pnl": net_realized,
"avg_hold_sec": _avg_seconds(all_holds),
"avg_win_hold_sec": _avg_seconds(win_holds),
"avg_loss_hold_sec": _avg_seconds(loss_holds),