Initializing Neural Core
Loading ML Models... PPO | LSTM | MAML | Ensemble

MT5 Liqbot AI v10.9.1

Autonomous Scalping Engine ā€” 2026 Edition
ā— SYSTEM ONLINE
Neural Latency
<0.8ms
Active Models
5/5
Confidence
94.2%
āš”
Neural Stack
Random Forest
Gradient Boosting
NumPy MLP
PPO Agent
LSTM Core
MAML Meta
Ensemble Training 87%
RL Agent Epsilon 0.15
Meta-Learning Tasks 24 Active
šŸ“Š
Live Metrics
Current Mode AI ENSEMBLE
Volatility Regime MEDIUM
Position Multiplier 1.0x
Order Flow Imbalance +0.34
MTF Consensus BUY 78%
Groq AI Status ONLINE
Neural Architecture

Ensemble ML Engine

Advanced voting system combining multiple ML models for robust signal generation.

ensemble_engine.py 
class EnsembleMLEngine:
    def __init__(self):
        self.rf = RandomForestClassifier(
            n_estimators=50, 
            max_depth=8,
            random_state=42
        )
        self.gb = GradientBoostingClassifier(
            n_estimators=50,
            max_depth=5,
            learning_rate=0.1
        )
        self.nn = NumpyMLP(input_dim=20)