From 0f197a7ce19ab0eea5b7377a6417316e4f452e24 Mon Sep 17 00:00:00 2001 From: Wilson Freitas Date: Thu, 4 Apr 2024 05:58:50 -0300 Subject: [PATCH] Added FinanceDatabase --- README.md | 1 + site/index.qmd | 3 ++- 2 files changed, 3 insertions(+), 1 deletion(-) diff --git a/README.md b/README.md index 2150dcc..eb00e6d 100644 --- a/README.md +++ b/README.md @@ -246,6 +246,7 @@ A curated list of insanely awesome libraries, packages and resources for Quants - [pandaSDMX](https://github.com/dr-leo/pandaSDMX) - Python package that implements SDMX 2.1 (ISO 17369:2013), a format for exchange of statistical data and metadata used by national statistical agencies, central banks, and international organisations. - [cif](https://github.com/LenkaV/CIF) - Python package that include few composite indicators, which summarize multidimensional relationships between individual economic indicators. - [finagg](https://github.com/theOGognf/finagg) - finagg is a Python package that provides implementations of popular and free financial APIs, tools for aggregating historical data from those APIs into SQL databases, and tools for transforming aggregated data into features useful for analysis and AI/ML. +- [FinanceDatabase](https://github.com/JerBouma/FinanceDatabase) - This is a database of 300.000+ symbols containing Equities, ETFs, Funds, Indices, Currencies, Cryptocurrencies and Money Markets. ### Excel Integration diff --git a/site/index.qmd b/site/index.qmd index 2ede4f8..d256736 100644 --- a/site/index.qmd +++ b/site/index.qmd @@ -237,6 +237,7 @@ A curated list of insanely awesome libraries, packages and resources for Quants - [pandaSDMX](https://github.com/dr-leo/pandaSDMX) - Python package that implements SDMX 2.1 (ISO 17369:2013), a format for exchange of statistical data and metadata used by national statistical agencies, central banks, and international organisations. - [cif](https://github.com/LenkaV/CIF) - Python package that include few composite indicators, which summarize multidimensional relationships between individual economic indicators. - [finagg](https://github.com/theOGognf/finagg) - finagg is a Python package that provides implementations of popular and free financial APIs, tools for aggregating historical data from those APIs into SQL databases, and tools for transforming aggregated data into features useful for analysis and AI/ML. +- [FinanceDatabase](https://github.com/JerBouma/FinanceDatabase) - This is a database of 300.000+ symbols containing Equities, ETFs, Funds, Indices, Currencies, Cryptocurrencies and Money Markets. ### Excel Integration @@ -522,4 +523,4 @@ A curated list of insanely awesome libraries, packages and resources for Quants - [book_irds3](https://github.com/attack68/book_irds3) - Code repository for Pricing and Trading Interest Rate Derivatives. - [Autoencoder-Asset-Pricing-Models](https://github.com/RichardS0268/Autoencoder-Asset-Pricing-Models) - Reimplementation of Autoencoder Asset Pricing Models ([GKX, 2019](https://papers.ssrn.com/sol3/papers.cfm?abstract_id=3335536)). - [Finance](https://github.com/shashankvemuri/Finance) - 150+ quantitative finance Python programs to help you gather, manipulate, and analyze stock market data. -- [101_formulaic_alphas](https://github.com/ram-ki/101_formulaic_alphas) - Implemention of [101 formulaic alphas](https://arxiv.org/ftp/arxiv/papers/1601/1601.00991.pdf) using qstrader. \ No newline at end of file +- [101_formulaic_alphas](https://github.com/ram-ki/101_formulaic_alphas) - Implemention of [101 formulaic alphas](https://arxiv.org/ftp/arxiv/papers/1601/1601.00991.pdf) using qstrader.