Build an end-to-end automated trading application that can visualize financial data of current and past stock holdings, and then buy/sell stocks automatically using Python trading bot libraries.
The key functions of a stock trading bot built using the Python algorithmic trading libraries are getting the data, training the model, entering and exiting trades, placing orders, and getting notified. Through backtesting on historical data and by minimizing human intervention, a python trading bot can increase the speed of order entry and establish discipline in the volatile stock market to help traders earn profits. Since computer systems react quickly to fluctuating markets, an automated Python-based trading system can produce bids as soon as the defined trading conditions are met.
Browse below to check out the latest and trending python libraries to build your own automated trading bot:
Zipline is an event-driven python library that supports backtesting and live trading. It also supports Interactive Broker and Pandas integration.
TA-Lib is extensively used to perform technical analysis on financial data using technical indicators.
The Pybacktest library offers a vectorized backtesting framework in Python / pandas, and is designed to make backtesting — compact, simple, and fast.
Python 4233 Version:Current License: Permissive (MIT)
Python 3227 Version:Current License: Permissive (MIT)
Python 1923 Version:0.4.33 License: Strong Copyleft (GPL-3.0)
Python 1012 Version:Current License: Permissive (MIT)
Python 773 Version:2.1.1 License: Strong Copyleft (GPL-3.0)
Python 744 Version:Current License: No License
Python 590 Version:Current License: Permissive (MIT)
Python 563 Version:Current License: Permissive (MIT)
Python 157 Version:Current License: Permissive (Apache-2.0)
Python 128 Version:Current License: No License
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