I want a single, cohesive piece of software that lets me run AI-driven automated trades across several markets—specifically forex alongside India’s NSE and BSE, with room to plug in other exchanges later. The core engine should analyse live order-book and price data in real time, decide on the most suitable approach for the current conditions (whether that ends up being scalping, day-trading or swing-trading), execute orders automatically and learn from the results. A built-in layer of risk controls—position sizing, draw-down limits, stop-loss logic—must be easy for me to adjust on the fly. Historical back-testing, paper-trading and rich performance analytics are vital so I can validate new ideas before they touch a live account. Please make the strategy rules, AI models and brokerage/API connections modular so future markets or data feeds can be added without rewriting the whole codebase. Deliverables I need to sign off on: • Fully functional cross-market trading application with source code • Connection setup for at least one live forex broker and the NSE/BSE gateway of your choice • Clear documentation showing how to train or tweak the AI component, run back-tests and set risk parameters • A short remote demo proving live data ingestion, decision making and simulated order execution Code may be in Python, C#, or another language suited to low-latency trading, provided the final package installs cleanly on Windows and can be containerised for cloud use later.