bt
universal-portfolios
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bt | universal-portfolios | |
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5 | 3 | |
1,985 | 705 | |
- | - | |
6.0 | 5.4 | |
about 1 month ago | 2 months ago | |
Python | Jupyter Notebook | |
MIT License | GNU General Public License v3.0 or later |
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bt
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Best Backtesting Libraries (Python)
bt – bt is a flexible backtesting framework for Python used to test quantitative trading strategies.
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Are there any ready solutions for backtesting portfolio with daily or more frequent rebalancing?
Here is link number 1 - Previous text "Bt"
There is, but you need to learn to code in python. Bt and PyPortfolioOpt are the tools for this.
- What open source frameworks should i be considering for hobby algo trading?
universal-portfolios
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Are there any ready solutions for backtesting portfolio with daily or more frequent rebalancing?
For libraries I strongly recommend checking out: https://github.com/Marigold/universal-portfolios
What are some alternatives?
PyPortfolioOpt - Financial portfolio optimisation in python, including classical efficient frontier, Black-Litterman, Hierarchical Risk Parity
backtrader - Python Backtesting library for trading strategies [Moved to: https://github.com/mementum/backtrader]
pyalgotrade - Python Algorithmic Trading Library
awesome-quant - A curated list of insanely awesome libraries, packages and resources for Quants (Quantitative Finance)
zipline - Zipline, a Pythonic Algorithmic Trading Library
PyThalesians - Python library for backtesting trading strategies & analyzing financial markets (formerly pythalesians)
pybacktest - Vectorized backtesting framework in Python / pandas, designed to make your backtesting easier — compact, simple and fast
pandas_talib - A Python Pandas implementation of technical analysis indicators
algobroker - Algo execution engine
trade
analyzer - :chart: Python framework for real-time financial and backtesting trading strategies