I need a compact, intelligent engine that watches live Forex price feeds and, using Moving Averages only, tells me where the market is likely headed next. The focus is pure technical analysis; there’s no requirement right now for automated order execution or broader risk-management modules, although the architecture should leave room for those to be added later. The core of the job is to design and code an algorithm that: • pulls real-time or near-real-time data for the major currency pairs I specify, • applies configurable SMA/EMA calculations (single, dual, or multi-period crossovers), and • produces timely buy, sell, or hold signals, ideally with a confidence score or supporting metrics. I also want the ability to back-test the strategy against historical data so its predictive power can be demonstrated before it is placed in a live environment. Deliverables • Well-commented source code and any supporting scripts or libraries • A short README explaining setup, data sources, and how to adjust Moving Average parameters • Back-test report showing sample currency pairs, test horizon, and key performance statistics Any mainstream stack is fine—Python with pandas, MetaTrader MQL, or a lightweight web app—so long as the final product runs reliably on Windows. Let me know if external APIs or paid data feeds are required so I can arrange access in advance.