I will backtest and optimise your trading strategy using python
About this Gig
I will take your trading idea (rules, indicators, or logic) and turn it into a fully tested, data-driven strategy using Python-based backtesting tools. You will receive clear insights into performance, risk, and whether your strategy has a genuine edge.
What Youll Get:
- Performance metrics
- Profit factor, drawdown, win rate and more
- Strategy parameter optimization
- Multi-asset / portfolio testing
- Visual reports including trade entries, equity curves and drawdowns
- Detailed trade analysis
- Full breakdown of trades
- Reusable Python system so you can re-run, modify, and extend your strategy independently
Who This Is For
- Traders with a strategy idea they want to validate
- Users of TradingView or Pine Script looking for deeper analysis
- Algo traders seeking robust Python-based testing
- Anyone serious about validating a strategy before going live
Platform:
Other
FAQ
What information do you need to start the backtest?
I need your strategy rules, including entry conditions, exit conditions, indicators, timeframe, market(s), and any specific requirements. If you already have historical data, you can provide it. Otherwise, I can work with supported data formats.
Can you test both long and short strategies?
Yes. Both long and short trading strategies can be implemented and evaluated.
Does a successful backtest guarantee future profits?
No. Backtesting helps evaluate historical performance and identify potential strengths and weaknesses, but it cannot guarantee future results. Market conditions can change, and proper risk management is always required.
Can this system execute live trades?
No. This service focuses on historical backtesting and strategy analysis only. It evaluates how your strategy performed using past market data before risking real capital. For live trading automation, I offer separate services connecting strategies to broker APIs, MT4/MT5, or crypto exchanges.

