We concentrated on ensuring the platform was both flexible and user-friendly, so analysts could quickly adapt their models to different markets. Our main challenges included:
- Diverse Exchange Infrastructure: Each exchange operates differently
- Computation Optimization: Large data volumes demand efficient algorithms
- Stability and Reliability: The system must handle complex scenarios without failure
The project’s core difficulties stemmed from raw open-source tools (JupyterHub), plus integrating multiple external systems each with its own data formats (data providers, exchanges, and the model itself).