bt
pandas_talib
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| bt | pandas_talib | |
|---|---|---|
| 5 | 1 | |
| 2,010 | 698 | |
| - | - | |
| 5.7 | 10.0 | |
| 20 days ago | almost 6 years ago | |
| Python | Python | |
| MIT License | MIT License |
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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"
- What open source frameworks should i be considering for hobby algo trading?
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How do I run 100 algos live?
A better way would be to create a master strategy that manages 100 other strategies, each with $10 a pop. The bt backtesting framework was designed to support this. That way you can manage your portfolio from one account, but also use multiple strategies. The master strategy just handles fund allocation, and rebalancing if necessary.
pandas_talib
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Best Backtesting Libraries (Python)
pandas_talib – A Python Pandas implementation of technical analysis indicators
What are some alternatives?
PyPortfolioOpt - Financial portfolio optimisation in python, including classical efficient frontier, Black-Litterman, Hierarchical Risk Parity
quantitative - quantitative - Quantitative finance back testing library
backtrader - Python Backtesting library for trading strategies [Moved to: https://github.com/mementum/backtrader]
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)
zipline - Zipline, a Pythonic Algorithmic Trading Library
PyThalesians - Python library for backtesting trading strategies & analyzing financial markets (formerly pythalesians)