Skip to main content

Time-Scoped Analytics

Purpose​

Time-Scoped Analytics let you view your performance and behavior over specific recent windows instead of only "all-time." This helps you see whether your trading is improving, stable, or slipping right now.

What Time-Scoped Analytics Do​

When you choose a time window, TradeMonkey recalculates key metrics using only the trades in that window, including:

  • Win rate and average P&L
  • Emotion-based performance (e.g. FOMO vs Confident)
  • Conviction averages and conviction gaps
  • Plan adherence (Yes / Partial / No)
  • Rule adherence and most common rule violations
  • Duration and exit behavior (stops, targets, manual exits)

You can compare these scoped views to your all-time baseline to see your current direction.

Time Windows You Can Use​

You can quickly switch between:

  • Last 10 trades – Very recent snapshot; good for quick feedback, sensitive to noise.
  • Last 20 trades – Short-term trend; useful for checking changes over the last few sessions.
  • Last 7 days – Weekly view; aligns with your typical review at the end of the week.
  • Last 30 days – Monthly view; smoother, more stable trends.
  • All time – Full history; used as your baseline for comparison.

Trade-based filters ("Last 10/20") always look at your most recent closed trades. Day-based filters ("Last 7/30 days") include all trades that closed in that calendar window.

How to Use Time-Scoped Analytics​

  1. Choose a window

    • In the analytics area (Dashboard, Psychology, Rules), select a time scope such as Last 20 trades or Last 30 days.

  2. Scan the main metrics

    • Look at win rate, average P&L, conviction, adherence, and rule violations for that window.
    • Then toggle back to All Time and see how those numbers differ.

  3. Compare recent vs baseline

    • If recent win rate, adherence, or conviction are better than all-time, behavior is improving.
    • If they are worse, something in your recent execution, rules, or psychology has changed.
    • If they are similar, behavior is roughly stable.

  4. Focus reviews by window

    • End of day: Use Last 10 trades or Last 7 days to check how you traded today/this week.
    • End of week: Use Last 7 days for weekly review, then compare to All Time.
    • End of month: Use Last 30 days to assess monthly performance and behavior.
    • After a change: If you changed a rule or schedule, use Last 20 trades or Last 30 days to see if the change helped.

  5. Drill into details

    • On the Psychology page: see which emotions, conviction levels, or adherence states dominated in the chosen window.
    • On Rules vs Reality: see which rules you broke most often in that window.
    • On performance views: see whether risk/reward or duration changed compared to your all-time averages.

Important Notes​

  • Closed trades only
    Time-Scoped Analytics use only closed trades. Open trades are excluded until they are closed.

  • Small samples can be noisy
    Very short windows (like Last 10 trades) are useful for quick feedback but are not statistically stable. Use Last 30 days or larger samples for more reliable trends.

  • Time windows respect your timezone
    Date-based filters (Last 7/30 days) use your configured timezone. Make sure your timezone is set correctly in Settings so daily and weekly boundaries match your real sessions.

  • Works across accounts, or per account
    If you trade multiple accounts, you can filter by account first, then apply a time scope to see recent behavior for that specific account.

  • Scope is a lens, not a solution
    Time-Scoped Analytics show what has changed and in which direction. They don't tell you why it changed or what you should do. You still decide how to interpret and respond.

Support​

If your analytics don't look right or you have questions about time-scoped views, contact hello@trademonkey.app.