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https://github.com/Quanturf/quanturf_dataset
Free financial data for algo-trading
https://github.com/Quanturf/quanturf_dataset
Last synced: 10 days ago
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Free financial data for algo-trading
- Host: GitHub
- URL: https://github.com/Quanturf/quanturf_dataset
- Owner: Quanturf
- Created: 2022-10-06T00:17:47.000Z (about 2 years ago)
- Default Branch: main
- Last Pushed: 2022-10-13T19:01:49.000Z (about 2 years ago)
- Last Synced: 2024-08-02T02:16:22.944Z (3 months ago)
- Language: Jupyter Notebook
- Homepage: https://quanturf-dataset-alpha.readthedocs.io/en/latest/
- Size: 1.2 MB
- Stars: 2
- Watchers: 1
- Forks: 1
- Open Issues: 0
-
Metadata Files:
- Readme: README.md
- Contributing: CONTRIBUTING.md
Awesome Lists containing this project
README
Quanturf's Datasets - Free Financial data for building Financial models
==========================================================================================
This repository contains the information about the **Free financial dataset** for thousands of asset classes, macroeconomic data, fundamentals and alternative data that can be used for building algo-trading models on [Quanturf](http://quanturf.com/).
Refer to the detailed documentation [here](https://quanturf-dataset-alpha.readthedocs.io/en/latest/)
This doumentation shows you how to get massive amounts of Financial Data and explains how to **install required Libraries** and how to **download/import the data** with few lines of Python Code.
The data covered in this documentation include:
-----------------------------------------------
- Historical Price and Volume Data for 100,000+ Symbols/Instruments.
- 50+ Exchanges all around the world.
- Real-time and Historical Data (back to 1960s)
- High-frequency real-time Data
- Foreign Exchange (FOREX): 150+ Currency Pairs
- 500+ Cryptocurrencies
- Commodities (Crude Oil, Gold, Silver, etc.)
- Futures and Option data
- Macroeconomic variables
- Stock Options, Stock Splits and Dividends for 5000+ Stocks
- Fundamentals, Metrics and Ratios for Stocks, Bonds, Indexes, Mutual Funds and ETFs
- Balance Sheets, Cashflow and Profit and Loss Statements (P&L)
- 50+ Technical Indicators (i.e. SMA, Bollinger Bands).
Financial Data types covered:
-------------------------------------------------
See detailed documentation [here](https://quanturf-dataset-alpha.readthedocs.io/en/latest/#financial-datasets-summary-by-source-and-types/).
- Equities
- FixedIncome
- FX
- Commodities
- Crypto
- Fundamentals
- OptionFuture
- Macroeconomic
- Sentiments
- AlternativeData
Financial Data source covered:
-------------------------------------------------
Seperate notebook for each different library has been included.
- YahooFinance
- Alphavantage
- FundamentalAnalysis
- quandl
- FRED
- Stooq
- IEX
- Oanda
- finviz
Contributing
------------
To any interested in making the FinAIML better, there are still some improvements
that need to be done.
A full TODO list is available in the `roadmap `_.
If you want to contribute, please go through `CONTRIBUTING.md `_ first.
Indices and tables
-------------------
* :ref:`genindex`
* :ref:`search`
* :ref:`modindex`
### Our Recommendation
* We prefer yfinance for technical analysis, because it has an easy-to-use API and very convenient most of the times.
* For Fundamental analysis, FundamentalAnalysis package is the best, as it requires no data cleaning and can be used directly to get detailed financial statements of a company, however it has coverage limitations and doesn't cover a lot many stock exchanges, so you can choose between Web Scraping and FundamentalAnalysis package as per your requirement.