AI Quant

Scheduled for release in Q2 2026.

Vertexs.ai integrates an Artificial Intelligence engine to democratize institutional-grade trading strategies.

1. Dual-Track Iteration

The AI model utilizes a self-learning loop:

• Market Prediction: Analyzes on-chain volume and sentiment to predict trend direction.

• Execution Optimization: Learns from past slippage and gas fees to optimize future trade routing.

2. Strategy Lego

A modular approach to strategy creation:

• Users can combine pre-built logic blocks (e.g., "If Volume > X", "Then Buy Y") without coding.

• Anti-Overfitting: The system tests strategies against live data to ensure they aren't just curve-fitted to the past.

3. Risk Melting

An automated risk management system:

• Capital Preservation: Automatically triggers stop-losses or hedges positions when volatility exceeds a threshold.

• Dynamic Rebalancing: Adjusts portfolio weights in real-time based on the AI's confidence score in the market trend.