Obtain 40+ Technical Indicators for a Stock Using Python
Using the Technical Analysis (TA) library, we can acquire 40+ technical indicators for any stock.
Technical indicators are exploratory variables usually derived from a stock’s price and volume. They are used to explain a stock’s price movements in hopes of predicting future swings. In other words, they are used to determine whether a stock is “overbought” or “oversold”. Though these indicators are widely exploited by both independent investors and hedge funds alike, many people do not have quick way of obtaining them. They have to resort to calculating each indicator one at a time. This process takes a great deal of time and computational power. Believe me. I’ve spent my fair share of time coding this process using python in the past (see proof in the articles below):
- Calculate and Analyze RSI Using Python
- How to Calculate the MACD Using Python
- Calculate On-Balance Volume (OBV) Using Python
Calculating technical indicators takes time away from the modeling process and can therefore be a deterrent to building more complex statistical models. With the TA (technical analysis) library though, we can substantiate any stock’s historical price data with more than 40 different technical…
