Data exploration is the process of investigating a new data set by asking basic questions in order to gain insights for further analysis. Delivering seamless access to vast digital asset data–blockchain networks, crypto markets, and decentralized finance–is essential to support trading and risk strategies. Nasdaq Data Link Digital Assets is a part of Nasdaq's Investment Intelligence suite of products, designed to provide significant value to customers in making informed decisions. As the creator of the world's first electronic stock market, Nasdaq technology powers more than 70 marketplaces in 50 countries, and one in ten of the world's securities transactions. Built in partnership with Amberdata, Digital Assets Market Data covers trades, top-of-book and depth-of-book data for 2,000+ cryptocurrency pairs across 15 exchanges. This is a petabyte-scale suite of products that can be overwhelming for many to navigate
Mitch Tessier, Josh Seidel, Sri Ghattamaneni, Vionna Lo, Joe Widen
© 2023 Databricks, Inc. All rights reserved. The source in this notebook is provided subject to the Databricks License [https://databricks.com/db-license-source]. All included or referenced third party libraries are subject to the licenses set forth below.
| library | description | license | source |
|---|---|---|---|
| mplfinance | Visualization library | BSD | https://pypi.org/project/mplfinance/ |
Please note the code in this project is provided for your exploration only, and are not formally supported by Databricks with Service Level Agreements (SLAs). They are provided AS-IS and we do not make any guarantees of any kind. Please do not submit a support ticket relating to any issues arising from the use of these projects. The source in this project is provided subject to the Databricks License. All included or referenced third party libraries are subject to the licenses set forth below.
Any issues discovered through the use of this project should be filed as GitHub Issues on the Repo. They will be reviewed as time permits, but there are no formal SLAs for support.