In this notebook I’m going to try and predict the BTC/USD close price(target/dependant variable) for the month of June 2022 using the linear regression as the chosen model, I will also use a set of relevant independent variables like moving averages, volume, etc. I’ll follow a basic data science workflow from importing data to model development and evaluation. Lastly, assuming the model passes the validation stage, I will bactest and measure its performance as a trading strategy to further gain insights on how reliable it can be before placing any trade based on the prediction made
Jun 1, 2022