Algorithmic Trading Solutions
From idea to live deployment — research-driven trading systems built for real markets.
Services
Consultation
Discuss your idea, constraints, market, and goals. We define the right technical and research direction.
Trading Strategy Development
Design and implementation of algorithmic strategies using statistical, quantitative, or ML-based approaches.
Trading Strategy Evaluation
Proper evaluation is very important, because mistakes here very often lead to bad business decisions. We use regular industrial methods like n-fold cv to make estimation of your strategy on historical data. We also control simulator ~ market divergency, so you can be sure that simulator is valid. Delivery: Estimation ready Deploy. We provide deploy script which pulls implemented components, data and conduct estimation with estimation data and report as output. You can do it on your own machine or VPS or any cloud provider. We also can open evaluation service as REST API and you can run the command remotely from your local shell. Hyperparams search Evaluation is good but what's about parameters optimization. Sometimes you want to check what's behind of normal parameters scope or just try to find hyperparams which makes evaluation of your strategy better. You of course can do this manually but it will be exhausting and boring process. Hyper param search is automatisation of the process and it allows you to run it and just watch for results. Delivery: hyperparam search ready Deploy. We provide deploy script which pulls implemented components, data and start hyperparam search according to provided configs. You can do it on your own machine or VPS or any cloud provider. You also can call the service via REST API from your local shell.
Deployment, Monitoring & Control
Production deployment, live monitoring, alerts, and ongoing performance control.
About
Arkitezis focuses on professional-grade algorithmic trading systems, combining quantitative research with robust engineering practices.
Contacts
📧 Email: contact@arkitezis.dev
💬 Telegram: @arkitezis