Backtesting Trading Strategies in Just 8 Lines of Code
버전 1.0.0.2 (17.3 KB) 작성자:
MathWorks Quant Team
This demo will show how to perform a strategy backtesting in just 8 lines of code.
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
인용 양식
MathWorks Quant Team (2024). Backtesting Trading Strategies in Just 8 Lines of Code (https://www.mathworks.com/matlabcentral/fileexchange/63333-backtesting-trading-strategies-in-just-8-lines-of-code), MATLAB Central File Exchange. 검색 날짜: .
MATLAB 릴리스 호환 정보
개발 환경:
R2023a
모든 릴리스와 호환
플랫폼 호환성
Windows macOS Linux카테고리
Help Center 및 MATLAB Answers에서 Portfolio Optimization and Asset Allocation에 대해 자세히 알아보기
태그
도움
도움 준 파일: Files for webinar titled "Classifying Trading Signals using Machine Learning and Deep Learning"
Community Treasure Hunt
Find the treasures in MATLAB Central and discover how the community can help you!
Start Hunting!