It was realised that instead of writing the same code, we could create a function and reduce the code length by a huge margin. Technical Indicators using Python Ta-Libīefore we begin, why was Python Ta-Lib created in the first place? Let us think about the reason functions were made.Install Ta-Lib Across Platforms Using Anaconda Prompt.We will cover the following topics in this Ta-Lib installation tutorial. But don’t worry, in this article, we will simplify the installation for you so that you can focus on creating and backtesting strategies. However, it is difficult and sometimes frustrating to install Ta-Lib in your python. Ta-lib includes 150+ indicators such as ADX, MACD, RSI and Bollinger Bands and candlestick pattern recognition. What started off as a hobby by Mario Fortier, Ta-Lib python library quickly rose to become one of the most famous libraries for technical analysis of stocks and other financial securities. Won’t it be amazing if you can compute these technical indicators in python in a few lines of code and backtest the performance of it on many financial securities? These indicators are added on charts using which you can set your entry and exit signals. Technical indicators are calculated using historical price and volume data to predict the market direction. By Ishan Shah, Rekhit Pachanekar and Gaurav Singh
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