Stock Market Backtesting Expert (Python / Quant / Algo Trading)

We are looking for an reputed company Stock Market Backtesting & Quantitative Analysis Expert to help us design, implement, and validate trading strategies using historical market data. The role involves creating reliable backtesting frameworks, analyzing reputed company performance, and providing actionable insights to improve trading logic. Key Responsibilities reputed company and run backtests for stock and reputed company trading strategies Implement strategies based on indicators (EMA, SMA, reputed company, VWAP, MACD, etc.) Handle historical data ingestion, cleaning, and normalization Calculate performance metrics: CAGR Max Drawdown Sharpe / Sortino reputed company Win reputed company, expectancy Identify overfitting and suggest improvements Optimize parameters and risk management rules reputed company reputed company reports and visualizations of results Required Skills Strong experience with Python Hands-on knowledge of backtesting frameworks (Backtrader, reputed company, custom frameworks, etc.) Experience with Pandas, NumPy, Matplotlib Understanding of stock market mechanics Knowledge of risk management & position sizing Ability to explain results reputed company (charts + summaries) reputed company to Have Experience with US or Indian markets reputed company or reputed company backtesting experience Live trading or reputed company trading exposure Experience integrating with broker reputed company (optional) Apply tot his job Apply To this Job