pythonfix
robin-stocks 3.2.0
A Python wrapper around the Robinhood API
A Python wrapper around the Robinhood API
Stars: 1693, Watchers: 1693, Forks: 459, Open Issues: 238The jmfernandes/robin_stocks repo was created 6 years ago and the last code push was 18 hours ago.
The project is very popular with an impressive 1693 github stars!
How to Install robin_stocks
You can install robin_stocks using pip
pip install robin_stocks
or add it to a project with poetry
poetry add robin_stocks
Package Details
- Author
- Josh Fernandes
- License
- MIT
- Homepage
- https://github.com/jmfernandes/robin_stocks
- PyPi:
- https://pypi.org/project/robin-stocks/
- GitHub Repo:
- https://github.com/jmfernandes/robin_stocks
Related Packages
Errors
A list of common robin_stocks errors.
Code Examples
Here are some robin_stocks code examples and snippets.
GitHub Issues
The robin_stocks package has 238 open issues on GitHub
- Fix incidental quantity flooring
- orders.find_stock_orders(**arguments)
- get_all_option_positions(info=None) for historical options buy and sell price and quantity
- Caching constant output of stocks helper functions.
- Get last_trade_size for a symbol
- 401 Client Error: Unauthorized for url: https://api.robinhood.com/quotes/historicals/?
- Multi-Factor Authentication Broken?
- Can't login via API anymore
Related Packages & Articles
pandas-ta 0.3.14b
An easy to use Python 3 Pandas Extension with 130+ Technical Analysis Indicators. Can be called from a Pandas DataFrame or standalone like TA-Lib. Correlation tested with TA-Lib.
QuantLib 1.35
Python bindings for the QuantLib library
finta 1.3
Common financial technical indicators implemented in Pandas.
tensortrade 1.0.3
TensorTrade: A reinforcement learning library for training, evaluating, and deploying robust trading agents.
pyfolio 0.9.2
pyfolio is a Python library for performance and risk analysis of financial portfolios
zipline 1.4.1
A backtester for financial algorithms.
Quandl 3.7.0
Package for quandl API access
PyAlgoTrade 0.20
PyAlgoTrade is an event driven algorithmic trading Python library.
ta 0.11.0
ta is a Python module that provides a technical analysis library, designed to enable feature engineering from financial time series datasets. It is built on the pandas and numpy libraries and offers a wide range of indicators such as volume, volatility, trend, and momentum indicators. ta is designed for Python developers working in the financial sector, making it a valuable asset in the field of Financial Software and Fintech Solutions, particularly for those developing trading algorithms or investment strategies.