I need an experienced Python developer with algorithmic trading expertise to convert my backtested EMA-based trading strategy into a forward testing system for Delta Exchange cryptocurrency futures. The system must handle multi-timeframe analysis, maintain historical data for EMA calculations, provide real-time monitoring via terminal dashboard, and include a web dashboard for forward and live trading monitoring. Project Scope Convert existing backtest Python code to forward testing architecture Integrate Delta Exchange REST API for live data streaming Implement local paper trading mechanism (no real money) Build multi-timeframe EMA calculation engine (5m, 15m, 1h, 4h, 1d) Create historical data storage and management system Develop real-time terminal dashboard using Rich library Build web dashboard for monitoring forward and live trading activity Generate comparable outputs to backtest for validation Technical Requirements Python 3.x development Delta Exchange API & CCXT library experience Libraries: pandas, numpy, ta-lib, rich, toml, openpyxl, etc. Data storage: CSV/SQLite Multi-timeframe candlestick data handling EMA indicator calculations with historical context Web framework (Streamlit, Dash, or FastAPI with frontend) Required Skills Must-Have Skills: ✓ Python ✓ Algorithmic Trading ✓ API Integration ✓ Delta Exchange API ✓ pandas & numpy ✓ Technical Analysis (TA-Lib) ✓ Financial Markets ✓ Cryptocurrency Trading Nice-to-Have Skills: Rich library (terminal formatting) Backtesting frameworks CCXT library Web development (Streamlit/Dash/FastAPI) Real-time data processing Project Deliverables Python Code: Complete forward testing system with clean, commented code Strategy Document: Detailed explanation of forward testing logic, data flow, and EMA calculation methodology IT Flowchart: Visual diagram showing system architecture and data flow Terminal Dashboard: Rich-formatted real-time monitoring dashboard showing current EMA status and strategy signals Web Dashboard: Professional web interface for monitoring forward and live trading activity with real-time updates and trade history