daily-pnl-reviewerlisted

End-of-day review skill for Indian intraday traders — analyses today's trades, computes win rate / expectancy / max DD, flags behavioural patterns (revenge trading, oversizing, time-of-day skew), and writes a journal entry. Trigger after market close, when reviewing trade logs, or when user says "review my day".
rahulcommercial/claude-code-for-indian-traders · ★ 0 · AI & Automation · score 72

Install: claude install-skill rahulcommercial/claude-code-for-indian-traders

# Daily P&L Reviewer The trade is only half the work. The review is where edge gets built. ## When to use - After 15:30 IST when market is closed. - User uploads / points to today's trade log (JSON / CSV / SQLite). - User asks "how did I do today" or "review my trades". ## Inputs expected A list of trades with at minimum: - entry_time, exit_time - instrument, side, qty - entry_price, exit_price - pnl (₹) - rationale / setup tag (optional but valuable) ## Metrics to compute ### Performance - Net P&L (after estimated STT + brokerage + GST) - Win rate = wins / total - Avg win, avg loss, **expectancy** = (win_rate × avg_win) − (loss_rate × avg_loss) - Profit factor = total wins ₹ / total losses ₹ ### Risk - Max intraday drawdown - Largest single loss as % of starting capital - Did daily loss cap trigger? ### Behavioural flags (these matter more than P&L) | Flag | How to detect | |---|---| | **Revenge trading** | New entry within 5 min of a losing exit, larger size than baseline | | **Oversizing** | Position size > 2× median for the day | | **Late-day chasing** | New entries after 14:45 IST that aren't part of a closing-bell setup | | **Setup drift** | Trades without a tagged setup, or "vibe" entries | | **Holding losers** | Avg time-in-loss > 1.5× avg time-in-win | ## Output: the journal entry Write to `~/projects/zerodha-signal-app/journal/YYYY-MM-DD.md` (or user-specified path): ```markdown # 2026-06-06 — Trading Journal ## Numbers - Net P&L: ₹+2,340 (2.3% on ₹1L)