Multi-Class Timing Model (MCTM)
Advanced machine learning model with 4-class probability distribution for 5-day forward market predictions
Machine Learning Process Flow
MCTM follows a systematic 4-step process to generate reliable market predictions:
Market Classification
MCTM analyzes your selected technical indicators (minimum 3, up to 19+ available) and classifies the current market state into one of four distinct categories based on pattern recognition and historical data.
Confidence Assessment
The model calculates its certainty level about this classification by measuring indicator consensus and data quality across multiple timeframes.
Pattern Recognition
Historical analysis reveals which market outcomes typically follow each classification, providing statistical probabilities for different scenarios.
Final Prediction
Combines classification + confidence + historical patterns to generate the most probable 5-day forward market outlook with reliability metrics.
Net Score Interpretation
The final output is a Net Score—a normalized directional signal ranging from -1 (strong bearish) to +1 (strong bullish). It summarizes the model’s probability-weighted directional conviction. Higher positive values indicate stronger bullish signals; higher negative values indicate stronger bearish signals. Values near zero indicate a neutral or uncertain outlook.
Multi-Indicator Analysis
MCTM combines your selected indicators from multiple categories for customizable market analysis:
Core Indicators (Always Enabled)
Technical Indicators (Optional)
Economic Indicators (Optional)
Why Choose Multi-Class Timing Model?
- Machine Learning Powered: Uses Random Forest with probability calibration and SMOTE balancing for optimal predictions
- Walk-Forward Validation: Rigorously tested using time-series cross-validation to prevent overfitting
- Multi-Asset Support: Works with stocks, ETFs, crypto, and forex with adaptive feature selection
- Risk Management: Provides confidence scores, stop-loss recommendations, and volatility warnings
- Economic Integration: Incorporates macroeconomic data for comprehensive market context
- Real-Time Analysis: Continuous model updates with current market and economic conditions
Ready to Try Multi-Class Timing Model?
Experience this advanced machine learning analysis in our educational trading app
Download App & Try MCTMAll strategies are for learning and simulation. No financial advice provided. Market data refreshes on app reload. Past performance does not guarantee future results.