This organization performs research and development for open source projects in three core areas: blockchain Modeling and Data ETL, Financial Machine Learning For Quantitative Finance Topics, Distributed Computing and Learning for GenAI.
Some of the current project we work on are:
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Atelier A Computational Framework/Engine for Market Microstructure High Frequency Modeling, Synthetic Simulation and Historical Market Reconstruction/Replay.
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Traderman A Python SDK to build, train, stress-test, deploy and monitor trading strategies, speculative, optimal execution and market making.
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Molina: A Rust and Python Synthetic Integration for an agentic-LLM approach to build a research agent for local knowledge representation.
