Predicting Stock Prices with Python using Machine Learning Linear Regression

In this video we are covering the simplest form of Machine Learning to predict stock prices (or rather returns) in Python using a Linear Regression. As said in the video you should not take this as a valid trading strategy. It is just an idea how a linear Regression can 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 :) Mentioned videos: Logit regression: Multiple linear regression: 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, Regression Disclaimer: This video is not an investment advice and is for informat