Built a larger Python project over the last months and finally able to post here 😅
It’s a low latency crypto trading backend focused more on infrastructure, stability, and real time execution than on “the perfect strategy”.
Current features include:
• real time WebSocket data handling
• async architecture (asyncio + aiohttp + uvloop)
• automated trade execution with SL/TP/trailing
• background logging + data collection
• live monitoring system
• highly configurable risk and execution parameters
• multi asset support
• stable long running runtime under continuous load
Biggest challenge honestly wasn’t even the strategy logic itself, but keeping the entire system stable over time.
Reconnects, queue handling, state desyncs, latency spikes, API issues, and generally building something that doesn’t silently fall apart after a few hours 😅
Originally started as a learning project to understand async systems and trading infrastructure better, but it turned into something much bigger than expected.
Currently focused on stability testing and observing behavior under smaller live capital before scaling anything further.
Curious what engineering problems others here ran into while building trading infrastructure or execution systems.