Weekly and Monthly Performance KPIs to Track

P&L alone lies. A lucky week can mask a broken system; a losing week can hide disciplined execution. Performance KPIs at weekly and monthly cadences separate edge from variance and tell you exactly what to fix.

Weekly KPIs (process first)

• Trades taken vs plan. Did you take the planned number of setups? Too few = hesitation; too many = overtrading. Target the range your backtest defined.
• A-grade setup percentage. What share of trades met all setup criteria? Below 80% means discipline is slipping.
• Rule violations count. Tally every violation: moved stop, oversized, traded the news, chased entry. Target zero.
• Daily loss limit hits. If you hit the daily loss limit more than once a week, the plan or discipline is broken.
• Execution grade average. Average your daily A–F scores. Below B means process needs work before any strategy change.

Monthly KPIs (edge and money)

• Expectancy (in R). (Win rate × average win) − (loss rate × average loss). Below 0.2R after 30 trades is a warning; negative means the edge is gone or never existed. Require at least 30 trades before judging.
• Profit factor. Gross profit ÷ gross loss. Above 1.5 is acceptable; above 2.0 is strong; below 1.2 will eventually bleed the account.
• Win rate. Context-dependent. Trend-following may win 35–45%; mean-reversion 55–65%. Judge win rate against your setup type, not against a generic 50%.
• Average R-multiple per trade. The cleanest single number. A 0.3R expectancy at 40 trades is real edge; a 1.5R expectancy at 5 trades is noise.
• Maximum adverse excursion (MAE). Average distance trades went against you before closing. If winners had MAE under 0.5R and losers over 1.5R, your stop placement is well-calibrated. If MAE is uniform, the setup lacks an edge in timing.
• Drawdown depth and duration. Max peak-to-trough in R and the number of trades to recover. Recovery longer than 30 trades signals a regime mismatch.
• Discipline score. Percentage of trades executed exactly to plan. Below 90% invalidates every other metric — you cannot judge a strategy you did not run.

How to act on the numbers

• Expectancy negative over 30 trades → stop, audit the setup, do not add capital.
• Profit factor below 1.2 → cut position size 50% and recheck after 20 trades.
• Discipline score below 90% → fix process before strategy. No KPI is meaningful without discipline.
• One setup dominates expectancy → scale it; retire the worst setup.

The bottom line

Track weekly KPIs for process (A-grade percentage, violations, daily-limit hits) and monthly KPIs for edge (expectancy in R, profit factor, MAE, drawdown). Require 30 trades before judging an edge, and treat a discipline score below 90% as a stop signal — no strategy read is valid on undisciplined execution.