Backtesting Trading Strategies in Just 8 Lines of Code
This demo will show how to perform a strategy backtesting in just 8 lines of code.
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Using the functionalities in MATLAB® and Financial Toolbox™, you can perform a backtesting strategy in just 8 lines of code. This includes:
• Data preparation
• Trading signal generation
• Calculation of portfolio returns, Sharpe ratio, and maximum drawdown
• Equity curve plotting
In fact, there are a lot of things you can do in MATLAB. For example, you can:
• Use Datafeed Toolbox™ to download market data directly from various data providers
• Generate trading signal using Econometrics Toolbox™ or Statistics and Machine Learning Toolbox™
• Automatically execute your strategies by using Datafeed Toolbox™
The video can be found here https://www.mathworks.com/videos/backtesting-trading-strategies-in-just-8-lines-of-code-1499289703258.html
Cite As
MathWorks Quant Team (2026). Backtesting Trading Strategies in Just 8 Lines of Code (https://ch.mathworks.com/matlabcentral/fileexchange/63333-backtesting-trading-strategies-in-just-8-lines-of-code), MATLAB Central File Exchange. Retrieved .
Acknowledgements
Inspired: Files for webinar titled "Classifying Trading Signals using Machine Learning and Deep Learning"
Categories
Find more on Portfolio Optimization and Asset Allocation in Help Center and MATLAB Answers
General Information
- Version 1.0.0.2 (17.3 KB)
MATLAB Release Compatibility
- Compatible with any release
Platform Compatibility
- Windows
- macOS
- Linux
