AI Integrations
We embed artificial intelligence directly into your trading workflow. From custom AI indicators to fully agentic portfolio managers, we build systems that think alongside your strategy.
What's included
- Custom AI trading strategies and indicators
- AI-powered trading intelligence and signal generation
- Agentic portfolio management systems
- AI filtering and validation models for existing strategies
- LLM-based market analysis and reporting tools
- Integration with existing trading infrastructure
How it works
Discovery
We map your existing strategy and infrastructure, then identify exactly where AI adds the most value signal generation, filtering, or portfolio management.
Build
We develop, train, and backtest the AI model against your historical data, iterating until the results meet production standards.
Deploy
We integrate the model into your live environment, set up monitoring, and hand over full documentation.
Common questions
Do I need my own data?
Not necessarily. We can work with standard market data feeds, or integrate your proprietary data if you have it. We'll advise on the best approach during discovery.
What platforms do you support?
We build AI integrations for Python-based systems, MetaTrader, TradingView via webhooks, and custom broker APIs. If you have a specific stack, let us know.
How long does a typical AI project take?
Most projects run 4–8 weeks depending on complexity. A simple filtering model is faster; a full agentic portfolio system takes longer. We scope this precisely before work begins.
Can you improve an existing model?
Yes. We regularly audit, retrain, and optimise models that are underperforming or overfitted. We start with a review before recommending changes.