pybacktest

Strategy tester

A backtesting framework that simplifies the process of testing investment strategies using pandas and other Python libraries.

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

GitHub

805 stars
71 watching
242 forks
Language: Python
last commit: about 3 years ago
Linked from 1 awesome list


Backlinks from these awesome lists:

Related projects:

Repository Description Stars
abbass2/pyqstrat A fast and extensible Python library for backtesting quantitative strategies. 364
jeffrey-liang/quantitative A Python library for backtesting investment strategies and models using event-driven simulations. 65
fja05680/pinkfish A backtesting and spreadsheet library for simple trading strategy analysis. 271
enzoampil/fastquant A tool for backtesting and optimizing trading strategies with minimal code requirements. 1,541
quarkfin/qf-lib A Python library that provides tools and frameworks for testing investment strategies in financial markets. 561
yvictor/tradinggym A toolkit for training and backtesting reinforcement learning algorithms in trading environments. 1,610
bsdz/yabte A Python module for backtesting trading strategies in financial markets 5
vcaesar/tt A tool for writing and running tests in Go with colorful output and benchmarking capabilities. 8
philipid3s/ethtradingalgorithm A trading algorithm designed to backtest Ethereum price curves using Python and the ZipLine library. 4
constverum/quantdom Framework for testing and evaluating trading strategies using Python 718
jrmeier/fast-trade Enables quick analysis and backtesting of trading strategies using technical indicators and chart data 377
dysonance/strategems.jl Toolset for systematic trading strategy development and backtesting in Julia 162
santoshlite/eigenledger An open-source platform for portfolio management and analysis in finance 960
matryer/is A testing framework for Go with simple and readable API 1,809
tradingstrategy-ai/getting-started A repository providing examples and tools for developing and backtesting algorithmic trading strategies in Python. 69