Machine Learning in trading
Here we take a balanced, model-driven approach to investing. We employ quantitative, machine learning driven, systematic trading models across a broad range of liquid global financial and crypto markets.
Here we take a balanced, model-driven approach to investing. We employ quantitative, machine learning driven, systematic trading models across a broad range of liquid global financial and crypto markets.
Here we focus on ai-driven approach for alpha-generation and optimization. Evaluating thousands of instruments with hundreds of features for optimal trading scenarios
The backend has been built andd tested, current stack: python, kdb+ and grafana. Deployed on AWS
Research is conducted by leveraging alternative data, market microstructure and statistical learning techniques
Trading own capital with several brokers, fully systematic. Monitoring and alerting service is being setup
