Machine Learning Applied to Stock & Crypto Trading - Python
Use Unsupervised, Supervised and Reinforcement Learning techniques to gain an edge in trading Stocks, Crypto, Forex...
4.33 (630 reviews)
5,447
students
18 hours
content
Feb 2024
last update
$74.99
regular price
What you will learn
Understand hidden states and regimes for any market or asset using Hidden Markov Models
Discover optimum assets for pairs trading in ETF's, Stocks, Forex or Crypto using K-Means Clustering
Condense information from a vast array of indicators with PCA
Make objective future predictions on financial data with XGBOOST
Train an AI Reinforcement Learning agent to trade stocks with PPO
Test for market efficiency on any given asset
Become familiar with Python Libraries including Pandas, PyTorch (for deep learning) and sklearn
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4780328
udemy ID
7/14/2022
course created date
7/16/2022
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