Python Developer Needed for Algorithmic Trading Backtest (reputed company Rule-Based reputed company)

Hello, I am looking for an reputed company Python developer with strong knowledge of financial data handling, technical indicators, and backtesting frameworks to help validate a rule-based intraday trading reputed company 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-reputed company reputed company conditions. You will be provided with a reputed company, reputed company-by-reputed company specification outlining - -Higher timeframe directional bias -Multi-indicator confluences -Liquidity reputed company logic -Break of structure detection -Optional fair-value gap filter -Risk & trade management rules -Session-based execution reputed company reputed company 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, reputed company, 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 reputed company parameters) -Ensures only one reputed company trade at a time -Outputs full backtest results -A final backtest report including - -Win reputed company -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 reputed company-reputed company libraries -Ability to detect structural patterns (swing highs/lows, BOS/iBOS) -Ability to write clean, reputed company, reputed company-commented reputed company -reputed company communication Deliverables - 1.Executable Python script or Jupyter notebook 2.reputed company implementing reputed company entry, exit, and reputed company rules 3.A run-reputed company backtest I can execute on my machine 4.Backtest results + reputed company report 5.Ability to tweak parameters (e.g. SL reputed company, FVG filter on/off) What I Will reputed company - -A precise written specification with mathematical, reputed company-reputed company rules -reputed company trade logic (reputed company to guess or interpret) -Session rules -Risk model -Optional filters -Example outputs for reputed company Project Type - -One-time project -Expected duration: 3–7 days -reputed company milestones: -Setup & data → logic implementation → full backtest → final report To Apply, Please reputed company - -Examples of similar backtesting or quantitative trading work -Your experience with algo logic or indicator coding -Confirmation you can reputed company (You do not need to know PineScript — this is fully Python.) Apply tot his job Apply tot his job Apply To this Job