I will backtest sma crossover strategies in python

Looking for a Python trading strategy backtest? I will help you test and analyze your trading strategy using Python-based backtesting and performance analytics.

What I offer:

• SMA crossover strategy backtesting
• Historical or client-provided market data analysis
• Configurable strategy parameters
• Commission and slippage settings
• Strategy return and buy-and-hold comparison
• Equity curve and maximum drawdown analysis
• Performance metrics and visual reports
• Interactive Python dashboard options for suitable projects

What you will receive:

A backtest report with results, charts, and a clear summary of the strategy assumptions used.

My workflow:

1. Review your strategy rules and requirements.
2. Confirm data availability and testing assumptions.
3. Run the agreed backtest.
4. Deliver the results and explain the key findings.

Please note: Results depend on data quality, assumptions, and market conditions. Backtests do not guarantee future profits. I do not promise profitable strategies or guaranteed returns.

Contact me before ordering if your strategy requires custom indicators, advanced optimization, or exchange/platform integration.