I made a Finance Database with over 180.000 tickers to make Investment Decisions easier

• FinanceDatabase

  23 2,781 9.5 Jupyter Notebook

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

  I explain my methodology here. When Apple moves their headquarters it will not be reflected in the database. The data is static and has no engine running constantly to update it. Therefore, re-running the database generation every few months should be worthwhile.

• AlgorithmicTrading

  7 783 2.7 Jupyter Notebook

  This repository contains three ways to obtain arbitrage which are Dual Listing, Options and Statistical Arbitrage. These are projects in collaboration with Optiver and have been peer-reviewed by staff members of Optiver.

  Also, the database provides ticker info which can still be used in any occasion of algo trading. Most of the techniques (statistical arbitrage, pairs trading, options arbitrage) do not require much else (see this)

• InfluxDB

  www.influxdata.com

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  Power Real-Time Data Analytics at Scale. Get real-time insights from all types of time series data with InfluxDB. Ingest, query, and analyze billions of data points in real-time with unbounded cardinality.

  

• FinanceToolkit

  18 2,333 9.7 Python

  Transparent and Efficient Financial Analysis

  Try FundamentalAnalysis. Or try search GitHub for packages that can do this as well. There is always some source that can get you the data. yfinance gives you a few years as well.

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