Python backtesting

Python : enorme liste quant Lire https://mayerkrebs.com/best-backtesting-library-for-python/cite VectorBT: fastest backtesting library Backtesting.py: easiest backtesting library AlephNull Backtrader Bt Pybacktest PyAlgoTrade Zipline Obtenir les données Les données historiques financières peuvent être obtenues par : Optimisation de portfolio https://riskfolio-lib.readthedocs.io/en/latest/ Autres outils quant:PyfolioZipline https://www.pybroker.com/en/latest/notebooks/9.%20Rebalancing%20Positions.html https://github.com/10mohi6/portfolio-backtest-python Lesquels pour calculer une frontière efficiente ? Liste de projets https://git.tuu.cat/topics/efficient-frontier?o=desc&s=forks Numpy, Pandas https://nbviewer.org/github/rian-dolphin/Efficient-Frontier-Python/blob/main/Markowitz.ipynbhttps://www.machinelearningplus.com/machine-learning/portfolio-optimization-python-example/https://medium.com/@zeng.simonl/the-efficient-frontier-in-python-a1bc9496a0a1https://www.youtube.com/watch?v=qJ5yCvA5E3Qhttps://www.youtube.com/watch?v=f2BCmQBCwDshttps://www.youtube.com/watch?v=naYXfyKC4eMhttps://www.youtube.com/watch?v=Isutk-wqJfE Scipy https://www.kaggle.com/code/vijipai/lesson-5-mean-variance-optimization-of-portfolioshttps://amangupta16.medium.com/portfolio-optimization-using-python-part-1-2-9fd80097a606https://github.com/tthustla/efficient_frontier/blob/master/Efficient%20_Frontier_implementation.ipynbhttps://www.linkedin.com/pulse/efficient-frontier-portfolio-optimisation-inpython-ricky-kim/https://colab.research.google.com/github/MOSEK/PortfolioOptimization/blob/master/python/notebooks-colab/ch10_robust_optimization_factor.ipynb PyPortfolioOpt https://pyportfolioopt.readthedocs.io/en/latest/index.htmlhttps://nekrasovp.github.io/stock-market-portfolio-optimisation.htmlhttps://www.youtube.com/watch?v=CRt1v50UHmo Pyfolio pyfolio Cvxopt https://notebook.community/gwulfs/research_public/research/Markowitz-Quantopian-Researchhttps://github.com/psthomas/efficient-frontier/blob/master/efficient_frontier.ipynbhttps://plotly.com/python/v3/ipython-notebooks/markowitz-portfolio-optimization/ Scipy, Statsmodel et Cvxopt https://alphapowertrading.com/quantopian/CAPM_Revisited_01.html

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