Introduction to Algorithmic Trading Using Python - How to Create & Test Trading Algorithm
Matt Macarty
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Welcome to my channel where we take complex concepts in statistics, data science analytics and break them down to their essentials. My goal is to help you better understand topics that might at first seem confusing. Examples demonstrate concepts in an applied manner with my tools of choice being Python and Excel, but you will also find tutorials on MySQL, R, minitab and SPSS. Whether you are looking for an explanation of hypothesis testing or want to know how to use tools like matplotlib, you have to come the right place. Most of the content used in my tutorials is available for download at: https://alphabench.com/resources.html
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#python #algorithmic #trading How to create a Trading Algorithm - Algorithmic Trading Using Python https://alphabench.com/data/python-algorithm-trading-intro.html Learn how to develop a momentum strategy trading algorithm with Python Learn how to download manipulate and test data for trading Please SUBSCRIBE: https://www.youtube.com/subscription_center?add_user=mjmacarty Download the notebook from github: https://github.com/mjmacarty/alphavantage More Algorithmic Trading Videos: https://www.youtube.com/playlist?list=PLiPFKCVZWHKqtlvkq-V610SXMr2Ii9uAR Learn algorithmic trading using Python. Algorithms are short programming logic that allow the automation of trading decisions. Complete overview of training and testing a trading algorithm. The first step in any automated trading strategy is to find a signal or signals that indicate when a trader should be entered. This video contains a complete discussion of identifying that algorithmic signal and testing the resulting profitability. While the signals vary the implementation of adding signals and testing is fairly constant, so while we may not identify the best strategy, you will be able to use the techniques discussed to test your own strategies quickly and easily. Discussion of drawbacks and limitations. * Note the information contained in this video is for educational purposes only and should not be construed as investment advice
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