Machine Learning Models
We design, train, and deploy machine learning models built specifically for trading and financial data. From feature engineering to live deployment, we handle the full pipeline so your strategy benefits from data-driven prediction rather than guesswork.
What's included
- Custom ML model design and training pipelines
- Feature engineering for financial and market data
- Backtesting and validation of ML-driven signals
- Deployment of predictive models into live trading systems
- Reinforcement learning agents for adaptive strategies
- Integration with existing trading infrastructure and data feeds
How it works
Data & Design
We audit your available data, define the prediction target, and design the feature set. If your data needs cleaning or enrichment, we handle that too.
Training & Validation
We train candidate models, validate them against held-out data, and run rigorous backtests to confirm the signal holds outside the training period.
Deployment
We integrate the model into your live trading system with inference pipelines, monitoring, and scheduled retraining if needed.
Common questions
What kind of data do you need?
It depends on the model. We can work with OHLCV price data, order book data, alternative data, or your proprietary signals. We'll advise on what's sufficient during scoping.
How do you prevent overfitting?
We use walk-forward validation, out-of-sample testing, and regularisation techniques. We won't hand over a model that only works on training data.
Can ML models be integrated into MetaTrader or TradingView?
Yes. We build the necessary inference bridges so your ML model can feed signals directly into MT4/MT5 EAs or TradingView webhook pipelines.
Do you retrain models over time?
We can set up automated retraining pipelines on a schedule, or triggered by performance degradation. This is scoped as part of the project.