pyalgotrading 2020.5.dev17

Official Python Package for Algorithmic Trading APIs powered by AlgoBulls

pyalgotrading

Official Python Package for Algorithmic Trading APIs powered by AlgoBulls!

Features

• Powered by AlgoBulls Platform
• Everything related to Algorithmic Trading Strategies!
  • Create & upload strategies on the AlgoBulls Platform
  • Free pool of Strategies are available separately at pyalgostrategypool!
  • Support for all 150+ Technical Indicators provided by TA-Lib
  • Support for multiple candlesticks patterns - Japanese, Renko, Heikin-Ashi, Linebreak
  • Support for multiple candlesticks - 1 minute, 3 minutes, 5 minutes, 10 minutes, 15 minutes, 30 minutes, 1 hour, 1 day.
  • Support for Regular Orders and Bracket Orders
  • Support for MARKET, LIMIT, STOPLOSS, STOPLOSS-LIMIT orders
  • Support for INTRADAY and DELIVERY orders
• Support for Backtesting
• Support for Paper Trading
• Support for Real Trading
• Support for multiple brokers for Real Trading
  • Currently supported brokers - Zerodha.
  • Coming soon - AliceBlue, Mastertrust.
  • More on the way!
• Real-time Logs for Backtesting, Paper Trading, Real Trading
• Multiple Reports available for Backtesting, Paper Trading and Real Trading -
  • Profit-n-Loss report (PnL report)
  • Statistics of (PnL report)
  • Order History for each order with state transitions & timestamps
• Plot Candlestick charts using plotly.py

Backtesting, Paper Trading and Real Trading can be performed on the same strategy code base!

Documentation

Coming soon!

Python

• Python Support: Python 3.5+.
• Python Requirements: See requirements.txt.

Installation

Package can be easily installed using pip -

pip install pyalgotrading

Support / Getting Help

• Bug Reporting / New Feature Request: Please create a new issue here on GitHub.
• Discussion Forum: Coming Soon!
• Additional Support: If none of the above help, please contact [e-mail].

Contribution Guidelines

Here’s how we suggest you go about proposing a change to this project:

1. Fork this project to your account.
2. Create a branch for the change you intend to make.
3. Make your changes to your fork.
4. Send a pull request from your fork’s branch to our master branch.

Changelog

See CHANGELOG.md.

License

See LICENSE.