![]() For each type of solution, we will look at which asset type (stocks, ETF’s, FX, commodity futures, options, treasury and even crypto). We will look into free and paid solutions, all of which have an easy to use Python Stock API wrapper around their services. Wouldn’t it be simpler if you could just run a few lines of code and receive the data. If you are creating a portfolio which requires a number of different asset classes, then the time required would be immense. While a simple google search can give you the end of day data for any stock, it can be a task to download and get it ready for your strategy code. But it’s a very daunting task to find decent historical price data for backtesting your trading strategies. And for backtesting, access to historical data is a necessity. Backtesting forms a very important part of this process. As a quant trader, you are always on the lookout to create and optimise your trading strategies.
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