Increasing Pattern Complexity: Machine Learning for Algorithmic Trading in Forex and Stocks

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United States sentdex
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Published on ● Video Link: https://www.youtube.com/watch?v=LOyWJnFJEDY


Duration: 14:28
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In this tutorial, we increase the pattern complexity, ie: increase the pattern length for pattern recognition.

Welcome to the Machine Learning for Forex and Stock analysis and algorithmic trading tutorial series. In this series, you will be taught how to apply machine learning and pattern recognition principles to the field of stocks and forex.

This is especially useful for people interested in quantitative analysis and algo or high frequency trading. Even if you are not, the series will still be of great use to anyone interested in learning about machine learning and automatic pattern recognition, through a hands-on tutorial series.

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Tags:
Stock
Python (Software)
HFT
Technical
programming
Python Programming Language
Trading
Machine Learning (Field Of Study)
algo trading
Matplotlib (Software)
Algorithmic Trading
Automated Trading
Finance
Automatic Trading
Forex
back testing
Pattern Recognition (Field Of Study)
Stocks
Market
High Frequency Trading
Analysis
Machine Learning (Software Genre)