min_score\u2014
|
floor_shift\u2014
|
effective_floor\u2014
|
governor\u2014
|
optimizer\u2014
|
mid_tf_gate\u2014
|
blocked_hours\u2014
Win rate
\u2014
\u2014
SL rate
\u2014
\u2014
Open / cap
\u2014
\u2014
Regime accuracy
\u2014
\u2014
Score discrim.
\u2014
\u2014
Dry scan rate
\u2014
last 100 scans
pack performance trackerWR \u00b7 score discrim \u00b7 trades per pack
packkey changenTPSLWR%discrim
\u2014
open trades\u2014
symboldirstrategyMFEMAEscoreage
\u2014
recent signalslast 10 closed
symboldirstratscoreoutcomeMFE
\u2014
engine state
\u2014
session win rate \u2014 utc hour\u2014
top rejections
\u2014
symbol WRn \u2265 3
symbolTPSLnWR
\u2014
config snapshotlive
\u2014
open trades\u2014
symboldirstrategyTP hitslive targetMFEMAEscoreage
\u2014
signal historylast 100 closed
symboldirstratregimescoreoutcomeMFEMAE
\u2014
session win rate \u2014 utc hour\u2014
50%+
20\u201349%
1\u201319%
0%
blocked
shadow signals \u2014 blocked hourswhat would have fired during blocked UTC hours
No shadow data yet
symbol win raten \u2265 3
symbolTPSLnWR
\u2014
top rejectionsall-time
\u2014
MFE vs MAE scatter\u2014
Win (TP / runner)
SL
Time exit
Runner timeout
X = MAE% \u00b7 Y = MFE% \u00b7 size = score
MFE distribution
\u2014
MAE distribution
\u2014
regime accuracy \u2014 per regime\u2014
regimeaccuracy barcorrectwrongneutralaccuracy%
\u2014
score discriminability \u2014 by strategyTP avg vs SL avg
strategynTPSLTEWR%TP avgSL avg
\u2014
per-trade score breakdownlast 30 closed
symboldirstrategyscoreRSIvolema_d%outcome
\u2014
engine state
\u2014
config snapshotlive from config.py
\u2014