Multi-Strategy Stock Algo Platform

I need an algorithmic trading platform purpose-built for the stock market that can run three distinct styles—scalping, swing trading, and day trading—without manual intervention. The core of the system should ingest live market data, analyse it in real time, and execute orders automatically through my broker’s API while keeping latency to a minimum. Essential capabilities • Automated trade execution with configurable order-routing and fail-safe handling • Historical and walk-forward backtesting so I can validate each strategy against past data and forward-looking scenarios • A real-time analytics dashboard that streams price action, positions, and P&L, updating every tick • A reinforcement-learning risk-management engine that adjusts position sizing, stop levels, and portfolio exposure dynamically as new data arrives Deliverables 1. Fully documented source code (language and framework of your choice, provided it is well-supported in trading environments) 2. Setup scripts or container files so I can deploy on both a local machine and a cloud VPS 3. A brief user guide covering strategy configuration, backtest workflow, and production launch 4. One recorded walkthrough or live hand-off session to ensure the platform runs end-to-end on my side I’m aiming for clean, modular architecture so future strategies or data feeds can be plugged in with minimal refactor. If you have prior experience connecting to stock broker APIs and building reinforcement-learning components, please outline it when you reply and include sample performance metrics or code snippets if possible.

Project ID: 40465032