This is a summary of links featured on Quantocracy on Thursday, 03/03/2022. To see our most recent links, visit the Quant Mashup. Read on readers!
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Creating an Algorithmic Trading Prototyping Environment with Jupyter Notebooks and Plotly [Quant Start]In the previous article we installed Python and set up our virtual environment. We then used pandas-datareader directly in the python terminal in order to import some equities OHLC data and plot five years of the adjusted close price. This was accomplished in a few lines of code. However, once we closed the terminal we lost all the data. In this tutorial we will be setting up a prototyping