8 trading and backtesting libraries in Python that will help you find your edge:

QuantSoftware Toolkit

Python-based open source software framework designed to support portfolio construction and management.

https://t.co/W5vSYN7sIC
quantitative

Quantitative finance, and backtesting library.

https://t.co/2g7BNhjwgC
analyzer

Python framework for real-time financial and backtesting trading strategies.

https://t.co/UM8D4X7fWd
pybacktest

Vectorized backtesting framework in Python / pandas, designed to make your backtesting easier.

https://t.co/kpFxyc0tHD
pyalgotrade

Python Algorithmic Trading Library.

https://t.co/nA1Qt64WX4
finmarketpy

Python library for backtesting trading strategies and analyzing financial markets.

https://t.co/rc8jjEoNKi
PyPortfolioOpt

Financial portfolio optimisation in python, including classical efficient frontier and advanced methods.

https://t.co/gGMZ4v030K
NowTrade

Python library for backtesting technical/mechanical strategies in the stock and currency markets.

https://t.co/laU8rIJbIk
Use them as-is, or change to make them your own:

• QuantSoftware Toolkit
• PyPortfolioOpt
• pyalgotrade
• quantitative
• finmarketpy
• pybacktest
• NowTrade
• analyzer
PyQuant News helps you get started with Python for quantitative finance.

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