Built for precision
5,034 decision trees. 224K+ data points. 79 features. Backtested on every asset. No black box — every signal comes with its track record.
AI Trading Signals from Historical Memory
Every live candle is matched against 224K+ historical patterns. The model retrieves the closest past market setups to generate actionable trading signals.
Buy, Hold & Sell Signal Classification
5,034 decision trees analyze 79 features per data point — RSI, volatility, body structure, kurtosis — and output probability-weighted buy, hold or sell signals.
Real-Time Market Regime Detection
Dedicated models classify current market conditions as bull, bear or stagnant. Every signal adapts to the detected regime — not a static ruleset.
Cross-Asset Correlation Analysis
Each signal is enriched with multi-asset context. The model checks what reference assets are doing at the same moment and across the same timeframe.
Multi-Asset Edge Mechanism
Predefined reference assets serve as edges. Synchronized across 5 timeframes, the system scores edge behavior to provide cross-market intelligence.
79-Feature Engineering Pipeline
Multi-timeframe RSI, rolling volatility, normalized OHLC, body ratios, returns kurtosis — all winsorized and validated before the model processes them.
Pattern-Based Price Projection
Probable price paths are projected by merging nearest historical matches. Weighted percentile fusion filters outliers for a robust forward curve.
Backtested Performance Validation
Every model is evaluated on a held-out 20% test set — accuracy, precision, recall, F1, confusion matrix. No signal ships without statistical proof.
Transparent methodology
Every signal has a paper trail. No black box.