analyzer
:chart: Python framework for real-time financial and backtesting trading strategies (by llazzaro)
pybacktest
Vectorized backtesting framework in Python / pandas, designed to make your backtesting easier — compact, simple and fast (by ematvey)
Our great sponsors
| analyzer | pybacktest | |
|---|---|---|
| 1 | 1 | |
| 201 | 735 | |
| - | - | |
| 10.0 | 0.0 | |
| over 7 years ago | over 1 year ago | |
| Python | Python | |
| GNU General Public License v3.0 or later | MIT License |
The number of mentions indicates the total number of mentions that we've tracked plus the number of user suggested alternatives.
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.
analyzer
Posts with mentions or reviews of analyzer.
We have used some of these posts to build our list of alternatives
and similar projects. The last one was on 2022-03-04.
-
Best Backtesting Libraries (Python)
analyzer – Python framework for real-time financial and backtesting trading strategies
pybacktest
Posts with mentions or reviews of pybacktest.
We have used some of these posts to build our list of alternatives
and similar projects. The last one was on 2022-03-04.
-
Best Backtesting Libraries (Python)
pybacktest – Vectorized backtesting framework in Python / pandas, designed to make your backtesting easier. It allows users to specify trading strategies using full power of pandas, at the same time hiding all boring things like manually calculating trades, equity, performance statistics and creating visualizations. Resulting strategy code is usable both in research and production setting.
What are some alternatives?
When comparing analyzer and pybacktest you can also consider the following projects:
pyalgotrade - Python Algorithmic Trading Library
algobroker - Algo execution engine
pandas_talib - A Python Pandas implementation of technical analysis indicators
bt - bt - flexible backtesting for Python
backtrader - Python Backtesting library for trading strategies [Moved to: https://github.com/mementum/backtrader]
quantitative - quantitative - Quantitative finance back testing library
trade
zipline - Zipline, a Pythonic Algorithmic Trading Library
PyThalesians - Python library for backtesting trading strategies & analyzing financial markets (formerly pythalesians)