Variables in Pattern Recognition: Machine Learning for Algorithmic Trading in Forex and Stocks p. 13

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This video discusses the already many variables that need to be considered in our pattern recognition and how we use it.

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)
automated trading system
Trader (Profession)
Pattern Recognition (Field Of Study)
Finance
High Frequency Trading
programming
Stocks
Technical Analysis (Website Category)
HFT
Python Programming Language
day trading
Trading
active trading
Matplotlib (Software)
Algorithmic Trading
Forex
back testing
automated trading
Market
Machine Learning (Field Of Study)
algo trading
Foreign Exchange Market (Taxonomy Subject)
Analysis