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If you're a beginner looking to learn how to calculate technical indicators and download price history, then you don't want to miss this video! These indicators can help your trading, this easy-to-follow tutorial takes you through the steps in the simplest way possible, so you don't need to worry about implementing complex formulas. With the Pandas_TA (technical analysis) package, you can call functions to access a wide range of basic technical indicators required for technical analysis. Don't miss out on this amazing tool and have fun! 🍓 If you want to follow structured courses with more details and practice exercises check my "About" page for Discount Coupons on my Udemy courses covering: Python basics, Object Oriented Programming and Data Analysis with NumPy and Pandas, ... more courses are on the way drop me a message if you have a particular interesting topic! Good luck! You may download the Jupyter notebook using this link: https://drive.google.com/file/d/1JTm6N1TbANUT0x3QVwDk0RBvdR-3_2jr/view?usp=sharing The csv data file: https://drive.google.com/file/d/16BZc9arwQKkPTDU5IjUKrPj54Xif5jtd/view?usp=sharing 00:00 Introduction 01:36 Downloading price historical Data 03:07 Loading and cleaning Data in Jupyter Notebook 04:55 Technical indicators in Pandas 08:30 Trading strategy target function 12:00 Visualizing Data characteristics 13:45 RSI reliability simple statistics #python #algorithmictrading #technicalindicators
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