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You're reading from  Python for Finance Cookbook - Second Edition

Product typeBook
Published inDec 2022
PublisherPackt
ISBN-139781803243191
Edition2nd Edition
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Author (1)
Eryk Lewinson
Eryk Lewinson
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Eryk Lewinson

Eryk Lewinson received his master's degree in Quantitative Finance from Erasmus University Rotterdam. In his professional career, he has gained experience in the practical application of data science methods while working in risk management and data science departments of two "big 4" companies, a Dutch neo-broker and most recently the Netherlands' largest online retailer. Outside of work, he has written over a hundred articles about topics related to data science, which have been viewed more than 3 million times. In his free time, he enjoys playing video games, reading books, and traveling with his girlfriend.
Read more about Eryk Lewinson

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Summary

In this chapter, we have covered a few of the most popular sources of financial data. However, this is just the tip of the iceberg. Below, you can find a list of other interesting data sources that might suit your needs even better.

Additional data sources are:

  • IEX Cloud (https://iexcloud.io/)—a platform providing a vast trove of different financial data. A notable feature that is unique to the platform is a daily and minutely sentiment score based on the activity on Stocktwits—an online community for investors and traders. However, that API is only available in the paid plan. You can access the IEX Cloud data using pyex, the official Python library.
  • Tiingo (https://www.tiingo.com/) and the tiingo library.
  • CryptoCompare (https://www.cryptocompare.com/)—the platform offers a wide range of crypto-related data via their API. What stands out about this data vendor is that they provide order book data.
  • Twelve Data (https://twelvedata.com/).
  • polygon.io (https://polygon.io/)—a trusted data vendor for real-time and historical data (stocks, forex, and crypto). Trusted by companies such as Google, Robinhood, and Revolut.
  • Shrimpy (https://www.shrimpy.io/) and shrimpy-python—the official Python library for the Shrimpy Developer API.

In the next chapter, we will learn how to preprocess the downloaded data for further analysis.

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https://packt.link/ips2H

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Author (1)

author image
Eryk Lewinson

Eryk Lewinson received his master's degree in Quantitative Finance from Erasmus University Rotterdam. In his professional career, he has gained experience in the practical application of data science methods while working in risk management and data science departments of two "big 4" companies, a Dutch neo-broker and most recently the Netherlands' largest online retailer. Outside of work, he has written over a hundred articles about topics related to data science, which have been viewed more than 3 million times. In his free time, he enjoys playing video games, reading books, and traveling with his girlfriend.
Read more about Eryk Lewinson