analyzer VS bt

Compare analyzer vs bt and see what are their differences.

analyzer

:chart: Python framework for real-time financial and backtesting trading strategies (by llazzaro)

bt

bt - flexible backtesting for Python (by pmorissette)
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analyzer bt
1 5
205 2,010
- -
10.0 5.7
over 8 years ago 16 days 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.

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.

bt

Posts with mentions or reviews of bt. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2022-03-04.

What are some alternatives?

When comparing analyzer and bt you can also consider the following projects:

backtrader - Python Backtesting library for trading strategies [Moved to: https://github.com/mementum/backtrader]

PyPortfolioOpt - Financial portfolio optimisation in python, including classical efficient frontier, Black-Litterman, Hierarchical Risk Parity

pybacktest - Vectorized backtesting framework in Python / pandas, designed to make your backtesting easier — compact, simple and fast

pyalgotrade - Python Algorithmic Trading Library

trade

awesome-quant - A curated list of insanely awesome libraries, packages and resources for Quants (Quantitative Finance)

algobroker - Algo execution engine

zipline - Zipline, a Pythonic Algorithmic Trading Library

PyThalesians - Python library for backtesting trading strategies & analyzing financial markets (formerly pythalesians)