Stock Day-Trading AI Bot Development

I need a fully automated AI bot that day-trades equities on my behalf. The system must connect to a live brokerage API, stream real-time market data, and make rapid buy-sell decisions throughout the session. Everything should center on short-term, intraday opportunities in listed stocks only. Key features I expect to see working together: • Real-time data analysis that continuously ingests level-1 and level-2 quotes, news and technical indicators, then feeds this stream to the prediction engine. • Automated order execution that routes market, limit or stop orders instantly once the model produces a signal, including smart order routing where available. • Risk management controls that cap position size, enforce max daily loss, set dynamic stop-loss and take-profit levels, and pause trading if volatility spikes beyond a preset threshold. I am comfortable with Python, so please build the pipeline in that language and leverage proven libraries such as Pandas, NumPy, scikit-learn or TensorFlow for the modelling layer. The finished app should run on my own server, expose a simple dashboard or CLI for parameter tuning, and log every trade for later analysis. Deliverables: 1. Clean, well-commented source code with installation instructions 2. Back-test report covering at least one year of minute-level stock data 3. Live trading module integrated with a mainstream US brokerage (Interactive Brokers, Alpaca or similar) 4. Documentation explaining model logic, risk parameters and how to extend the strategy I will judge the work by its ability to execute hands-off intraday trades, stay within defined risk limits, and produce verifiable trade logs. If you have prior examples of stock day-trading bots, share a brief demo or repo link when you respond.

Project ID: 40483762