I will perform backtest trading strategies in python or r
Expert in Finance Derivatives DataDriven Solutions for your projects
About this Gig
Want to validate your trading strategy before risking real money? I will professionally backtest your trading strategy in Python or R to evaluate its performance, risk, and profitability.
What You'll Get:
️ - Custom backtesting of your strategy (stocks, forex, crypto, etc.)
️ - Performance metrics (Sharpe Ratio, Max Drawdown, CAGR, etc.)
️ - Data cleaning & preprocessing
️ - Visualization of strategy performance
️ - Risk analysis and optimization
️ - Full Python/R script with documentation
Tools & Libraries:
Pandas, NumPy, Backtrader, QuantConnect, Zipline, Tidyquant, etc.
Why Choose Me?
- Strong background in quant finance & algorithmic trading
- Code is clean, efficient, and well-documented
- 100% customer satisfaction guarantee
Get your strategy backtested today and gain an edge in the market!
Programming language:
Python
•
R
Frameworks:
Other
Tools:
Jupyter Notebook
•
Excel
My Portfolio
FAQ
What do I need to provide?
Your trading strategy rules (entry/exit conditions) Preferred assets (stocks, forex, crypto, etc.) Timeframe (daily, hourly, etc.)
Which platforms do you support?
I use Python (Backtrader, QuantConnect, Zipline) and R (Tidyquant, quantmod, TTR)
Will you optimize my strategy?
Basic backtesting doesn’t include optimization, but it's available in higher packages.

