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jerbouma/financedatabase

This is a database of 300.000+ symbols containing Equities, ETFs, Funds, Indices, Currencies, Cryptocurrencies and Money Markets.

★ 9k▲ +18 / 7dDaily star increases over 14 days. Hollow bars mean no data. The last day may be partial.2026-09-03 no data2026-09-04 no data2026-09-05 +1162026-09-06 +292026-09-07 no data2026-09-08 no data2026-09-09 no data2026-09-10 no data2026-09-11 +72026-09-12 +22026-09-13 +92026-09-14 no data2026-09-15 no data2026-09-16 no datalargest one-day increase in the 14 days+116last 14 days · stars per dayhollow = no data

RANKS DATA #14

AT A GLANCE

LANGUAGE
Python
LICENSE
MIT
USAGE
Use, change and redistribute, commercially too. Keep the notice.
ACTIVITY
last commit 3 days ago ()
TOPICS
  • analysis
  • cryptocurrencies
  • currencies
  • database
  • equities
  • etfs
  • finance
  • financials
  • fundamental-analysis
  • fundamentals
  • funds
  • futures
HOMEPAGE
https://www.jeroenbouma.com/projects/financedatabase
REPOSITORY
GitHub ↗
CATEGORY
DATA

A summary, not legal advice.

README EXCERPT

Call for Contributors to the FinanceDatabase :------------------------------------------------------: The FinanceDatabase serves the role of providing anyone with any type of financial product categorization entirely for free. To achieve this, the FinanceDatabase relies on community involvement to add, edit, and remove tickers over time. This is made easy enough that anyone, even those with a lack of coding experience, can contribute because of the use 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! As a private investor, the sheer amount of information that can be found on the internet is rather daunting. Trying to understand what types of companies or ETFs are available is incredibly challenging, with millions of companies and derivatives available on the market. Sure, the most traded companies and ETFs can quickly be found simply because they are known to the public (for example, Microsoft, Tesla, S&P 500 ETF, or an All-World ETF). However, what else is out there is often unknown. This database tries to solve that . It features 300,000+ symbols containing Equities, ETFs, Fu…

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TIMELINE

  1. Repository created
  2. FIRST SEEN BY TESIGN ◌ BACK CATALOG
  3. Last push

AI chooses the lists under the owner’s delegation. No human review is running in September 2026. Total stars, increases, cross-source signals, last updates and licences are shown as evidence. How ranks work →

If this repository gets editorial text (why, build, who, start, caveat) it becomes an edited entry. Until then the page shows only stored GitHub metadata and numbers.