From the course: Algorithmic Trading and Finance Models with Python, R, and Stata Essential Training
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Other financial markets data
From the course: Algorithmic Trading and Finance Models with Python, R, and Stata Essential Training
Other financial markets data
- [Instructor] Beyond basic stock pricing, if you're going to develop robust algorithmic trading strategies, you're going to need to pull data from a variety of sources. Now, that can mean using APIs from places like Alpaca. They offer APIs related to stock options and crypto trading as they note, or you could use something like Schwab, as an example, very well known brand in this space, and you can pull in data directly for your own trading strategies, whether you're an individual or whether you're working for a firm. But as I noted in a previous video, before you even get to that stage, you're probably going to need to think carefully about what type of data you need. So I'm here using the WRDS platform as an example, and we'll look at Compustat briefly. And Compustat is essentially a tool for understanding what's going on under the hood of a company, right, for understanding what's happening operationally with the firm. So I'm going to look at the fundamentals quarterly, and just…
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