Building a reliable, fully automated day-trading algorithm for the U.S. stock market is the goal. The core requirement is hands-free execution: once trading hours begin, the script should scan in real time, identify entries that match my intraday rules, and place buy or sell orders automatically through a mainstream brokerage API (Interactive Brokers, Alpaca, or a similarly accessible platform). Key points I care about • Market: equities only, no forex or crypto. • Style: pure day trading—every position closed by the bell. • Functionality: automated order placement is mandatory; real-time analytics and risk controls can be modular add-ons if they speed deployment. Preferred workflow I provide the entry/exit logic and risk parameters, you translate them into clean, well-commented Python (or another language you specialise in) and wire it to the brokerage API. Back-testing on at least one year’s intraday data is expected so I can see metrics before going live. Deliverables • Source code and requirements file • Configuration guide for API keys, symbol lists, position sizing • A short video or live session walking through setup and typical trade flow • Back-test report showing win rate, max drawdown, and average trade duration over the sample period Acceptance The system must place simulated trades exactly matching the strategy during a live market replay and then execute one live micro-lot trade in a real account without manual intervention. If this fits your expertise, I’m ready to share the strategy doc and get started right away.