Predicting Stock, Crypto Returns with Python using Machine Learning Logistic Regression

In this video we are covering a classification algorithm (Logistic Regression) to predict stock prices (or rather returns) in Python. We are also taking a look at cryptos (Bitcoin) at the end. Previous vid on Linear Regression: As said in the video you should not take this as a valid trading strategy. It is just an idea how a Logistic Regression could be used and how overfitting can be avoided or at least diminished using a train test split. I am purposely NOT showing a time horizon where this is working or looking nicely to make you aware of that. I am planning on covering other algorithms and extending the strategy. If you find that interesting please leave the video a like and subscribe :) The video series is inspired by the HandsOn Algorithmic Trading with Python course by Deepak Kanungo. Anyhow, the code and some approaches strongly deviate from his. , Python, MachineLearning, Classification Disclaimer: This video is not an investment advice and is for informational a