ML Signal Quality Model

Model Loaded
Training Data
4149
records with P&L
CV Accuracy
44.1%
cross-validation
Models
3
none
Last Trained
2026-03-08 03:46
97 days ago
Signal Performance by Name (Raw Data)
15 signal types
Signal Name Trades Win Rate Avg P&L Total P&L Best Worst Performance
RSX 7 trades 7 29% +13.51% +94.6% +80.38% -0.76%
Demand Zone 1 100% +1.51% +1.5% +1.51% +1.51%
SniperBuy Vidya 2 100% +0.79% +1.6% +1.24% +0.34%
TDindicator Reliable 89 55% +0.71% +62.9% +34.93% -9.38%
SniperBuy Mundy 7 trades 7 29% -0.74% -5.2% +0.59% -2.79%
Regular Buy 1 0% -0.94% -0.9% -0.94% -0.94%
WaveMatrix 8 trades 8 38% -0.98% -7.8% +1.41% -6.65%
Strong Short 1 0% -1.98% -2.0% -1.98% -1.98%
SniperBuy MainTrend 2 0% -2.08% -4.2% -1.91% -2.25%
Momo Reliable 31 42% -2.45% -75.9% +2.84% -59.36%
SniperSell Mundy Reliable 11 18% -2.68% -29.5% +1.78% -6.78%
SniperSell Vidya 4 0% -3.05% -12.2% -2.05% -4.24%
SniperSell Ana 2 0% -3.40% -6.8% -1.08% -5.72%
SniperSell MainTrend 5 trades 5 0% -5.74% -28.7% -0.53% -17.08%
Trend Continuation Reliable 10 20% -94.98% -949.8% +0.44% -929.35%
Model Training

Train XGBoost model using completed trades with indicator text and P&L data.

Training in progress...
Feature Importance (Top 15)
# Feature Importance
1 sig_momo 0.0566
2 sig_sniper_buy 0.0465
3 tsi_passed 0.0404
4 ob_result_code 0.0401
5 trend_strength 0.0355
6 momo_composite_score 0.0354
7 htf_wm_value 0.0314
8 htf_decision_code 0.0309
9 ml_score 0.0282
10 momentum_consistency 0.0282
11 wm_value 0.0259
12 deviation_pct 0.0256
13 market_regime_code 0.0253
14 wave_calculated 0.0244
15 htf_trend_strength 0.0242
Training Data
Data Sources
Source Records Usable Status
A signal_log → ESR → closed_position 6260 3936 Active
C completed_trade.signal_indicator 213 213 Primary
S signal_log with filter_result.scores 8489 No P&L
P&L Label Distribution
114
LOSS (<0%)
53
SMALL (0-1%)
25
MED (1-3%)
21
BIG (≥3%)
Direction Breakdown
157
Long / Buy
56
Short / Sell
Recent Trainable Trades
Symbol Side P&L % Label Date
NVDA long -1.92% LOSS 02/11
SOXL long 0.78% SMALL_WIN 02/11
AMD long 0.96% SMALL_WIN 02/11
STX long 0.06% SMALL_WIN 02/11
LRCX long -1.14% LOSS 02/11
HOOD short 0.06% SMALL_WIN 02/11
GOOG long 0.06% SMALL_WIN 02/11
LRCX long -0.47% LOSS 02/11
ASTS short -5.81% LOSS 02/10
ARM long 0.09% SMALL_WIN 02/10
CIFR long 0.00% SMALL_WIN 02/10
CIFR long -0.75% LOSS 02/10
AVGO long -0.60% LOSS 02/10
NNE short -0.30% LOSS 02/10
SCHW short -0.92% LOSS 02/10
SCHW short -1.00% LOSS 02/10
USAR long -1.31% LOSS 02/10
SCHW short 0.22% SMALL_WIN 02/10
AMKR long 0.10% SMALL_WIN 02/10
SCHW short -1.31% LOSS 02/10
Model Details
Long Model Active
Samples: 236
Classes: 4
Accuracy: 44.1%
Features: 53
Short Model Active
Samples: 194
Classes: 4
Accuracy: nan%
Features: 53
Fallback Model Active
Samples: 213
Classes: 4
Accuracy: 41.7%
Features: 53