Full-stack hedge fund operations: backtesting with walk-forward validation, ML signal scoring, portfolio optimization, real-time feeds, risk management, and broker gateway integration.
Machine learning models score signals across macro, technical, sentiment, and on-chain data. Signal registry with version tracking and A/B testing.
Walk-forward validation with regime-aware parameter optimization. Test strategies against historical data before deploying capital.
Multi-fund aware optimization with sector constraints, risk budgets, correlation analysis, and dynamic rebalancing recommendations.
Streaming market data integration with providers. Price feeds, order book depth, and news sentiment in real-time.
Position-level and portfolio-level risk monitoring: VaR, drawdown tracking, exposure analysis, correlation breakdown, and automatic alerting.
Unified execution layer connecting to multiple brokers. Order management, position tracking, trade journaling, and P&L attribution.
Each skill is a production-ready capability with its own prompt template, model tier routing, and validation logic.
YAML-defined pipelines that run on schedule or on demand, with cross-step data passing and notification delivery.
See how Meta3Agents can transform your operations with a personalized demo.