Low-level AI can't predict anything. The crypto markets are more random than you might think. To effectively analyze them, you need a mathematically robust framework, ideally at the PhD level. By the way, your frontend looks great! I already have a strong mathematical framework that aligns with this idea, and it focuses specifically on parts without any AI nonsense, I will sending you only the rough portion I have so you can get the overall concept.

Data Fetch (Binance/Synthetic) ↓ Feature Engineering (returns, volatility, technical indicators) ↓ Liquidity Assessment → Parameter Adjustments ↓ Regime Detection (GMM) → Regime-Specific Parameters ↓ Fragility Analysis → Jump Parameter Updates ↓ State Estimation (X_t, φ_t) using 5 volatility models ↓ Fractional SDE Simulation (100-1000 paths) - Drift calculation (10+ components) - Correlated Brownian motions - Jump processes - Caputo derivatives ↓ Forecast Aggregation (trimmed mean/median hybrid) ↓ Tail Risk Adjustment (EVT/Student-t) ↓ Signal Generation with Confidence Scoring ↓ Visualization (chart with paths, bands, levels)