PAPER
Live

Machine Learning & Hybrid Strategy Studio

Immutable model registry, point-in-time feature explainability, shadow inference scoring, and continuous PSI drift monitoring.

Immutable Model Registry & Lineage

Strict 6-stage lifecycle: EXPERIMENT → CANDIDATE → SHADOW → PAPER → LIVE → RETIRED

1 Model Family

EUR/USD ICT Setup Classifier

EURUSD

Statistical classifier predicting ICT setup win-rate using point-in-time order flow and FVG features.

VersionStageValidation ROC-AUCAccuracy / F1Dataset SHA-256Actions
v1.0.0Shadow Mode69.8%(Brier: 0.215)64.2% / 63.6%e3b0c44298fc...

Shadow Model Prediction & Explainability

EURUSD

Real-time inference attribution without direct order execution authority

Latency: 1.25msHIGH Confidence
Model Setup Probability
72.5%Bullish Setup
Decision: Class 1
Time: 8:15:00 AM
Top Contributing Feature Weights (Log-Odds Attribution)
fvg_gap_size+0.420 (BULLISH)
Raw input value: 0.0018
return_5+0.280 (BULLISH)
Raw input value: 0.0012
is_london_killzone+0.180 (BULLISH)
Raw input value: 1.0000
candle_range_norm-0.090 (BEARISH)
Raw input value: 0.0025

Covariate & Concept Drift Monitor

Distribution Stable

Population Stability Index (PSI) tracking distribution shifts between training baseline and live inference

Checked: 8:15:00 AM
Overall PSI
0.0420
< 0.10 (Nominal)
Baseline Samples
500
Training dataset
Inference Window
100
Live sliding window
Recommended Action
MAINTAIN
Individual Feature Drift Metrics
FeaturePSI ScoreStatus
return_10.0310STABLE
return_50.0480STABLE
fvg_gap_size0.0520STABLE
candle_range_norm0.0380STABLE