🧠 AI Trade Prediction Engine

QuBitDEX's trade prediction engine is built using few-shot learning and a hybrid modeling architecture that combines PDEs (partial differential equations) with neural networks.

The engine extracts predictive signals from various data sources, including:

• On-chain behavior (e.g., large transfers, position shifts, DeFi liquidity changes)

• Social media content (e.g., Twitter activity, sentiment analysis)

• Historical price and execution data (e.g., trends, volatility, order density)

It generates real-time probability estimates for market movements, such as:

“There is a 72% probability that ETH will break downward within the next 15 minutes.”

These predictions are not auto-executed — they serve as actionable insights that users or strategies can reference.