Official Python Package for Algorithmic Trading APIs powered by AlgoBulls!
- Powered by the AlgoBulls Platform
- Everything related to Algorithmic Trading Strategies!
- Free pool of Strategies are available at pyalgostrategypool!
- Create & upload strategies easily on the cloud
- Support for all 150+ Technical Indicators provided by TA-Lib
- Support for multiple candlesticks patterns - Japanese OHLC, Renko, Heikin-Ashi, Linebreak
- Support for multiple candle intervals - 1 minute, 3 minutes, 5 minutes, 10 minutes, 15 minutes, 30 minutes, 1 hour, 1 day.
- Support for Regular Orders, Bracket Orders and Cover Orders
- Support for MARKET, LIMIT, STOPLOSS-LIMIT, STOPLOSS-MARKET orders
- Support for INTRADAY and DELIVERY orders
- Support for Backtesting
- Support for Paper Trading
- Support for Live Trading / Real Trading
- Support for multiple brokers for Live Trading. Check list of supported brokers here.
- Real-time Logs for Backtesting, Paper Trading, Live Trading
- Multiple real-time Reports available for Backtesting, Paper Trading and Live Trading:
- Profit-&-Loss report (P&L report)
- Statistics Report
- Order History Log for each order with state transitions & timestamps
- Detailed analytics with charts
- Support for calculating Slippage
- Support for calculating Brokerage
- Support for importing external P&L table and generating analytics on the same
- Plot Candlestick charts using plotly.py
Backtesting, Paper Trading and Real Trading can be performed on the same strategy code base!
You can find the docs here.
Easily access and use complete Jupyter Notebook for NASDSAQ and NSE markets here. You can:
- Easily view them on the web using nbviewer, without installing Python or Jupyter Notebooks.
- Easily execute them on the web using Binder, without installing Python or Jupyter Notebooks.
- Download and use them on your local machine, and installing Python & Jupyter Notebooks
- Python Support:
Python 3.8+. - Python Requirements: See requirements.txt.
- We recommend you to use the latest version of Python (v3.8+) to enjoy better performance benefits, especially for pandas.
Package can be easily installed using pip -
pip install pyalgotrading
- Bug Reporting / New Feature Request: Please create a new issue here on GitHub.
- Discussion Community: Slack
- Additional Support: If none of the above help, please contact pushpak@algobulls.com.
Here’s how we suggest you go about proposing a change to this project:
- Fork this project to your account.
- Create a branch for the change you intend to make.
- Make your changes to your fork.
- Send a pull request from your fork’s branch to our
masterbranch.
If you are interested in contributing to this repo, pyalgotrading or pyalgostrategypool, our official pool of FREE algorithmic trading strategies, please join our official Slack community. You would be provided with credits for unlimited trading access on the AlgoBulls platform.
See CHANGELOG.md.
See LICENSE.