I need a developer who can build a clean, reliable automated-trading application that connects to a third-party API, analyses live market feeds, and executes NYSE orders in real time. The core stack is Python for the trading logic and .NET for the desktop front end and background services, so you should be comfortable moving back and forth between the two environments. The first milestone is straightforward: fetch authenticated market data from the provider, process the feed with low latency, and place, modify, or cancel orders instantly according to my strategy rules. Later we may extend the same framework to other exchanges such as NASDAQ or the London Stock Exchange, so any prior experience with international markets is a strong plus. To keep things focused, the initial deliverable is: • A runnable desktop or web-hosted .NET interface that lets me configure API keys, choose symbols, and monitor open positions. • A Python engine (well-documented) that receives ticker updates, evaluates my predefined signals, and calls the trade-execution endpoints with proper error handling and logging. • Unit tests or a demo script that proves the engine can execute live or paper trades on NYSE without manual intervention. If you’ve previously worked with trading gateways, FIX/REST/WebSocket APIs, or libraries like pandas, NumPy, and asyncio, that experience will come in handy. Clean code, clear documentation, and prompt communication are essential, as I plan to iterate quickly once we’re in production.