I need a Python application that can ingest live market data from a mainstream brokerage API, evaluate it against custom strategies in real time, and place orders automatically. The core components I want delivered are a robust data-feed interface, a strategy engine I can swap modules into, and an order-execution layer with proper logging, position sizing, and basic risk controls. I’m comfortable choosing the final brokerage or data vendor once we speak, but please design the code so it can work with REST or WebSocket feeds such as Alpaca, Interactive Brokers, or similar. A clean object-oriented structure, use of established libraries (Pandas, NumPy, Backtrader or equivalent), and clear in-line documentation are important to me because I’ll be extending the strategy logic myself later. When you apply, include a concise proposal that explains: • how you plan to structure the project, • which tech stack you prefer and why, • a short outline of milestones from initial sandbox connection through to live trading cut-over. Deliverables I expect at minimum: • Fully-functional Python code ready to run in a paper-trading environment, • configuration files for API keys and trade parameters, • a brief README walking me through setup, back-testing, and going live, • evidence of at least one successful automated trade in a test account. If this fits your expertise, send over your detailed proposal and timeline so we can get started.