I need an AI-driven application that focuses on creating, refining, and testing swing-trading strategies for XAUUSD. The system should combine a smart suggestion engine with a clean, beginner-friendly interface so I can adjust parameters and instantly see how each idea performs. Core requirements • Strategy suggestions tailored to swing trading, with room to experiment with other methods if I choose. • Fast back-testing on at least five years of hourly data, returning metrics like win rate, drawdown, expectancy, and equity curves. • Automatic generation of entry, exit, stop-loss, and take-profit levels based on the tested rules. • Intuitive GUI—drag-and-drop rules, editable parameters, one-click backtest, and exportable results (CSV or similar). • Code written in a widely used stack (Python, MQL5, or comparable) and fully commented so I can extend it later. Deliverables 1. Complete AI strategy builder focused on XAUUSD swing trades. 2. Hourly-data back-test engine with visual and CSV outputs. 3. Signal generation module (entry, exit, SL/TP). 4. Short user guide and recorded demo walkthrough. Acceptance criteria • Re-running the same back-test reproduces results within ±1 %. • A full back-test launches and finishes in under 30 seconds on a standard laptop. • All source code and documentation are handed over at project close.