I need a complete, hands-free trading algorithm that follows a trend-following logic and executes live orders automatically on both the NYSE and the South African equities market. The core of the job is to translate a rules-based trend detection approach into production-ready code, connect it to a broker or exchange API, and keep it running without manual intervention once deployed. The system must: • Detect qualified up-trends in real time, trigger entries, manage positions, and close them automatically in line with the strategy’s rules. • Work seamlessly on NYSE-listed stocks as well as South African names; please factor any symbol-mapping or timezone differences into your architecture. • Include straightforward parameters for position sizing, maximum open risk, and daily stop so I can fine-tune exposure without touching the codebase. • Log every trade with timestamp, price, size, and P&L to a CSV or lightweight database so I can audit performance. Deliverables are the fully documented source code, a short setup guide so I can install the environment on my own machine or server, and at least one month of historical back-test metrics that demonstrate the strategy’s behavior. Language, framework, and data-feed choices are up to you—Python with libraries like pandas, TA-Lib, and an API wrapper such as Alpaca or Interactive Brokers is perfectly fine, but I’m open to alternatives if they simplify cross-exchange execution. Once the algorithm meets its acceptance criteria—accurate order routing on both markets, correct risk limits, and reproducible back-test results—I’ll sign off and move to live trading.