Python Developer Needed for Algorithmic Trading Backtest (Structured Rule-Based Strategy)

Hello, I am looking for an experienced Python developer with strong knowledge of financial data handling, technical indicators, and backtesting frameworks to help validate a rule-based intraday trading strategy across multiple CFD instruments. This is NOT a PineScript job. I need a Python-based backtest that accurately simulates entries, exits, risk management, and multi-factor confluence conditions. You will be provided with a clear, step-by-step specification outlining - -Higher timeframe directional bias -Multi-indicator confluences -Liquidity sweep logic -Break of structure detection -Optional fair-value gap filter -Risk & trade management rules -Session-based execution windows Your job is to translate that spec into a backtest, run it across historical data, and produce performance metrics. What You Will Build - -A Python script/notebook that: -Loads OHLCV data for 5-minute timeframe -Aggregates 4H candles for bias -Computes multiple indicators (EMA, RSI, VWAP, ATR) -Detects liquidity sweeps and internal structure breaks -Executes trades based on the provided rules -Applies ATR-based SL and fixed R:R TP -Restricts trades to specific sessions -Supports optional filters (toggle via parameters) -Ensures only one open trade at a time -Outputs full backtest results -A final backtest report including - -Win rate -Expectancy (avg R per trade) -Drawdown -Equity curve -Trades per session -Distribution of returns -Results per symbol (Gold, NAS100, US30) Required Skills - -Strong Python (Pandas, NumPy, TA-Lib or custom indicator coding) -Experience with financial OHLCV data -Experience building custom backtesting engines, not just using pre-built libraries -Ability to detect structural patterns (swing highs/lows, BOS/iBOS) -Ability to write clean, modular, well-commented code -Clear communication Deliverables - 1.Executable Python script or Jupyter notebook 2.Code implementing all entry, exit, and confluence rules 3.A run-ready backtest I can execute on my machine 4.Backtest results + summary report 5.Ability to tweak parameters (e.g. SL multiplier, FVG filter on/off) What I Will Provide - -A precise written specification with mathematical, coder-ready rules -All trade logic (nothing to guess or interpret) -Session rules -Risk model -Optional filters -Example outputs for clarity Project Type - -One-time project -Expected duration: 3–7 days -Clear milestones: -Setup & data → logic implementation → full backtest → final report To Apply, Please Provide - -Examples of similar backtesting or quantitative trading work -Your experience with algo logic or indicator coding -Confirmation you can start immediately (You do not need to know PineScript — this is fully Python.) Apply tot his job