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We have a created an Algorithmic Trading Course in python for pure beginners wherein we discuss multiple concepts from a basic zero to hero framework. The video is a full tutorial which starts from basic installation of python and anaconda all the way to backtesting strategies and creating trading API. There are more quality quantitative strategy video son our channel that can be found below: The full code can be downloaded from the link below: Feel free to check out our Quantitative Trading course: Chapters 00:00 Intro 00:55 Installation of Anaconda 01:50 Installing Yfinance 02:40 Working with Jupyter Notebook 06:58 Working with numpy and pandas and other libraries 07:50 Downloading stock data 12:00 Working with data 13:00 Read and writing Data 21:35 Separating and Segregating Data 23:00 Data visualization and graphs 26:00 Normalization 30:00 Making changes and creating new data 42:00 Deleting Data 44:40 Resampling Data 48:50 Histogram Graph 50:30 Mean, Variance and Standard Deviation 01:00:00 Scatter Plot 01:00:40 Stock Comparison with risk metric 01:01:50 For loops 01:09:00 Correlation and Covariance 01:10:20 Heat map 01:15:00 Challenge 1 01:16:00 Simple and Log returns 01:23:00 Creating Moving averages data 01:32:15 Challenge 2 01:35:00 Reindexing 01:37:45 Forward fill and Backfill 01:41:00 Cumulative returns and drawdowns 01:57:00 Creating and Backtesting Strategies 02:09:00 Comparison to buy and hold 02:11:40 Long bias Strategy 02:16:00 Challenge 3 02:16:30 Creating a function 02:26:30 Creating a class 02:43:30 Importing and Using a Class 02:48:45 Challenge 4 02:51:00 API 02:52:00 Working with API
