What this shows: for every setup that has ever produced an FF (original Fail + recovery Fail), the next N filled outcomes for that same setup are aggregated.
Each FF event is treated independently. NoFill / Expired rows roll forward (the model didn't fire, so no trade).
Score = (Post-FF WR − Baseline WR) × √Occurrences — penalises tiny samples.
Live Near-FF Alerts
0 activeRP Live failed + recovery MAE ≥ 50% of its own SL (i.e. halfway to FF).Risk $/acct:FF Rider:
Polling…
Models with FF
—
Total FF Events
—
Total Occurrences
—
Avg Lift (sample-weighted)
—
Loading…
Model
Dir
FF
Occ (W/L)
Post-FF WR
Baseline WR
Lift
Cum R
Avg R
Avg MFE
Avg MAE
Score
Cum-R curve (1→N)
Send
Notification Settings×
Volume70%
Event Types
Account Assignment×
When default distribution is on, orders from this page use the configured distribution strategy across all enabled accounts. Uncheck to route to specific account(s) only.