AI Integration
Integrate advanced AI trading models with the Noxen protocol.
Signal Engine Architecture
Noxen's AI engine is built on a modular architecture that supports a wide range of machine learning models. Our current production models include an ensemble of Gradient Boosting Machines, Time-Series Transformers, and Regime Classifiers.
Model Ensemble
Voting system ensuring signals only reach the user when confidence exceeds 70%.
Data Processing
87+ features across technical, on-chain, sentiment, and cross-asset categories.
Custom Trading Agents
In Phase 2, Noxen will support the deployment of custom agent policies. AI developers can:
- Define entry and exit conditions based on Noxen's core signal feed.
- Incorporate custom data sources and private ML models.
- Set risk management parameters, including stop-loss and position sizing.
- Backtest and optimize agents using Noxen's historical signal database.
Training & Optimization
Noxen's core team continuously retrains the production models using updated historical data and new market features. We prioritize models that demonstrate high precision and consistent performance across different market regimes (bull, bear, and crab).