Automated Trading Bot Development

I’m ready to move my proven day-trading strategy from spreadsheets to a fully autonomous Python bot. Your mission is to connect clean, well-documented code to my broker’s REST / WebSocket API so the system can ingest live market data, fire orders instantly, and keep running 24 / 7 on AWS or DigitalOcean.

The bot must nail three things:
• Accurate entry and exit rules exactly as I specify
• Robust, hard-coded risk management (stop-loss, position sizing, slippage buffers, safe-shutdown logic)
• Lightning-fast execution that minimises latency and handles disconnects without missing trades

I already have the mathematical indicators and rule-set; you translate them into efficient Pandas-based logic, wrap them in a class structure, and expose config variables so I can tweak parameters without touching the core code. Use logging and exception handling that lets me audit every fill and debug issues quickly.

Deliverables
• Git-based Python project with clear README and requirements.txt
• Dockerfile or equivalent for one-command deployment on AWS or DigitalOcean
• Verified live test demonstrating proper order flow and automatic recovery from a simulated outage
• Brief walkthrough call and hand-over of credentials/keys kept out of the repo

Timeframe: I need a working first build ASAP, with final polish right after any live-trade feedback.

When you reply, include one paragraph on the last trading API you integrated and what challenges you solved around order types or rate limits. If you’ve also automated swing or scalping systems, feel free to mention them—it would show your versatility.