How do you tell if a stock is overbought or underbought? Apart from using the RSI indicator which we are all familiar with. There are two methods I can think of to experiment this. First is to calculate how far in % terms the price deviates away from the 50 moving average. Second is to use the Empirical Rule or the 68–95–99.7 rule in statistics. Since I just passed my Power BI exam, I thought it would be interesting to incorporate python scripts into Power BI and do some cool stuff there. So this tutorial would be a mix of python codes, Power BI and statistics to give you that edge in the market. 1. Getting Stock Prices from Yahoo Finance If you have been following my blog posts in the Python for Finance series, this would have been a fairly routine task for you. If not here is the