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I've improved this database not only by increasing the amount of symbols (from 180k to 300k) but also:
Approximated the The Global Industry Classification Standard (GICS®), a standard used for sectors and industries everywhere. Note that this was approximated and therefore no actual data is collected. Furthermore, not all categories are included.
Updated and removed tickers that either no longer exist or had outdated information.
Made the package itself object orientated making data collecting and searching much more efficient and logical. (shoutout to Colin Delahunty for the help here too)
The database initially featured thousands of JSON files. At the time it made sense also given my rather novice background in programming. However, a much more efficient (and manageable way) is to work with CSV files. So instead, one CSV file per asset class
Due to using CSV files, it becomes really easy to update accordingly.
To make loading data itself still quick, it automatically compresses the data so that loading in data is not slowed down by using a format that is more easy to update.
Updated the README, Contributing Guidelines and overal documentation.
Call for Contributors to the FinanceDatabase
The FinanceDatabase serves the role of providing anyone with any type of financial product categorisation entirely for free. To be able to achieve this, the FinanceDatabase relies on involvement from the community to add, edit and remove tickers over time. This is made easy enough that anyone, even with a lack of coding experience can contribute because of the usage of CSV files that can be manually edited with ease.
I'd like to invite you to go to the Contributing Guidelines to understand how you can help. Thank you!
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I've improved this database not only by increasing the amount of symbols (from 180k to 300k) but also:
This discussion was created from the release FinanceDatabase 2.0.0.
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