⚠️ AI Tools Are Educational · No Guarantees · Not Financial Advice
AI is transforming how traders analyze crypto markets. But most platforms hide how their AI works, making it impossible to know when to trust the signals. We explain exactly what our AI does, how it scores assets, and — critically — what its limitations are.
Identifies market patterns from thousands of historical data points across multiple timeframes
Z-score analysis to flag volume, price, and liquidity behavior deviating from statistical norms
Social signal processing from news and on-chain data to gauge market mood
Multi-dimensional momentum measurement combining price action, volume, and buy pressure
Rug pull detection, liquidity fragility scoring, and manipulation pattern identification
All signals combined into a single 0-100 temperature score for simplified interpretation
Price, volume, liquidity, social signals, DEX data, and on-chain metrics collected from multiple sources every 5 minutes
Raw data converted to normalized signals: volume acceleration, buy/sell pressure, momentum change, liquidity shifts
Each signal weighted based on historical predictive accuracy. Weights are updated dynamically as outcomes are tracked
Composite score (0-100) assigned with label: SUB_ZERO, COLD, WARM, HOT, FLAMING, OVERHEATED
After 24-72 hours, actual price outcomes tracked. AI updates signal weights to improve future accuracy
Transparency matters. Here's what we tell our users about the limits of AI crypto analysis: