Rankings Updated after each close
# Trader Main strategy Return Max DD Score Green weeks Trades
1 LL @lowdelta_lisa +18.4% −3.1% 11/13 241 2 GG @gammaghost +22.7% −4.6% 10/13 198 3 FF @flyfisher +31.2% −7.4% 8/13 156 4 ST @slowtheta +12.1% −3.0% 12/13 64 5 WK @wingman_k +15.8% −4.2% 10/13 302 6 SS @spxsunrise +19.9% −5.6% 9/13 410 7 CC @calendarcat +9.4% −2.8% 11/13 88 8 TF @thetaflow You +14.1% −5.1% 9/13 186 9 DO @deepotm +26.3% −10.2% 9/13 133 10 PR @pinrisk +11.0% −4.7% 8/13 120
2 GG @gammaghost
+22.7% · −4.6% DD · 10/13 green wks
3 FF @flyfisher
+31.2% · −7.4% DD · 8/13 green wks
4 ST @slowtheta
+12.1% · −3.0% DD · 12/13 green wks
5 WK @wingman_k
+15.8% · −4.2% DD · 10/13 green wks
6 SS @spxsunrise
+19.9% · −5.6% DD · 9/13 green wks
8 TF @thetaflow You
+14.1% · −5.1% DD · 9/13 green wks
9 DO @deepotm
+26.3% · −10.2% DD · 9/13 green wks
10 PR @pinrisk
+11.0% · −4.7% DD · 8/13 green wks
How ranking works
Score is return divided by max drawdown, so one lucky swing doesn’t top the board.Verified only. Results come from broker imports, never self-reported.Opt-in. Traders choose whether to appear.Activity, not volume. You qualify by being active for enough weeks. Taking more trades never helps your rank.
Worth noting @flyfisher has the highest raw return (+31.2%) but ranks #3 after a −7.4% drawdown. @deepotm returned +26.3% and ranks #9.
Rankings show past results for comparison only. They are not predictions, recommendations, or endorsements. Sample data.