From the course: Algorithmic Trading and Finance Models with Python, R, and Stata Essential Training
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Getting broad market data
From the course: Algorithmic Trading and Finance Models with Python, R, and Stata Essential Training
Getting broad market data
- [Instructor] If you're going to do algorithmic trading, realistically you're going to need data. Let's talk about some options for where you can get that data. So, when we think about data in the capital markets, there's probably a few things that come to mind, right, but top of list is going to be stock market data. Realistically, you're going to need historical price data and real-time data so that you can make trading decisions. In other words, you need historical data so that you can come up with some sort of a strategy based on backtesting, and then you need real-time data to enable you to go through and use a rules-based asset management approach. Now, there's many different sources of financial data that are out there. One of my favorites is FactSet. FactSet is generally used in the asset management industry, but it's used by a variety of firms across the entire financial space, and they have a lot of different dashboards that are appropriate for different industries. So…
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