Past outcomes as predictions: Machine Learning for Automated Trading in Forex and Stocks p. 14

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Using past outcomes as predictions from our 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
Automated trading system
Trader (Profession)
Pattern Recognition (Field Of Study)
Finance
High Frequency Trading
programming
Python (Software)
technical analysis
Stocks
Technical
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
Analysis