AI & Machine Learning Systems

Predictive models, pattern recognition engines and AI-assisted decision systems for trading and automation.

  • Predictive models
  • Pattern recognition
  • Signal filtering
  • Strategy optimization
  • Data pipelines

We build predictive models, pattern recognition engines and AI-assisted decision systems for trading and automation, and we integrate them into the tools you already use: Expert Advisors, trading bots, dashboards and backends.

Our focus is practical: models that run reliably in production, are easy to retrain, and actually improve a decision instead of adding complexity.

What we build

  • Smart signal filtering. Models that score each entry from your existing strategy and skip low-quality setups.
  • Pattern recognition. Detection of chart patterns, market regimes and volatility states from price and volume data.
  • Strategy optimization. Machine-learning and walk-forward methods to tune parameters without overfitting.
  • Predictive models. Classification and regression models for direction, volatility or risk.
  • Data pipelines. Collection, cleaning and feature engineering for market and alternative data.
  • LLM-powered tools. Assistants and automations built on large language models, connected to your data and systems.

From research to production

Many AI trading projects stop at a notebook. We take models all the way into live use: exporting them so they run inside an MT5 EA or a Python service, connecting them to brokers and exchanges through APIs, and adding logging so you can see why each decision was made. The surrounding infrastructure (scheduling, storage, alerts) is part of our backend and automation work.

Technologies

Python, scikit-learn, PyTorch, TensorFlow, XGBoost and LightGBM, ONNX for running models inside MetaTrader 5, plus pandas and NumPy for data work.

How a project works

  1. Send your instructions. Describe the problem, the data you have and what a good result looks like in your own words. Screenshots, rule lists or an existing file are all fine.
  2. Get a free quote. We review the details and come back with a price and a realistic timeline.
  3. We build and test. The work is developed and tested against your rules before delivery.
  4. Delivery and support. You receive the finished software, and we fix any bugs or errors that appear later, free of charge.

Frequently asked questions

Can an AI model be used inside an MT5 Expert Advisor?

Yes. Models can be exported to ONNX and run directly inside MT5, or run as a separate Python service that the EA talks to.

Will machine learning make my strategy profitable?

No model can promise profits. Machine learning can help filter signals and manage risk, but results depend on the strategy, the data and market conditions.

Do I need my own data?

Not always. We can work with your broker history or with public market data, and we can build the pipeline that collects it.

Request a free quote

Need a team that can design, build and maintain it all?

Let's talk. Tell us about your project and we'll reply with honest timelines.