trade
By rochars
pybacktest
Vectorized backtesting framework in Python / pandas, designed to make your backtesting easier — compact, simple and fast (by ematvey)
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trade | pybacktest | |
---|---|---|
1 | 1 | |
- | 778 | |
- | - | |
- | 0.0 | |
- | over 2 years ago | |
Python | ||
- | 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.
trade
Posts with mentions or reviews of trade.
We have used some of these posts to build our list of alternatives
and similar projects. The last one was on 2022-03-04.
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Best Backtesting Libraries (Python)
trade – trade is a Python framework for the development of financial applications. A trade app works like a service. The user informs the items he has in stock and a series of subsequent occurrences (purchases, sales, whatsoever) with those or other items. trade then calculates the effects of those occurrences and gives back the new amounts and costs of the items in stock.
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 trade and pybacktest you can also consider the following projects:
pandas_talib - A Python Pandas implementation of technical analysis indicators
pyalgotrade - Python Algorithmic Trading Library
backtrader - Python Backtesting library for trading strategies [Moved to: https://github.com/mementum/backtrader]
algobroker - Algo execution engine
bt - bt - flexible backtesting for Python
analyzer - :chart: Python framework for real-time financial and backtesting trading strategies