jupyter-quant
Unverified ML strategy on Multi by quantbelt. BotFinder score 18 out of 100.
A dockerized Jupyter quant research environment.
Source: github
BotFinder analysis pending.
jupyter-quant
Jupyter Quant A dockerized Jupyter quant research environment. Highlights - It can be used as a docker image or pypi package. - Includes tools for quant analysis, statsmodels, pymc, arch, pyvollib, zipline-reloaded, PyPortfolioOpt, etc. - The usual suspects are included, numpy, pandas, sci-py, scikit-learn, yellowbricks, shap, optuna. - ibasync for Interactive Broker connectivity. Works well with IB Gateway docker image. - Includes all major Python packages for statistical and time series analysis, see requirements. For an extensive list check list installed packages section. - Zipline-reloaded, pyfolio-reloaded and alphalens-reloaded. - You can install it as a python package, just pip install -U jupyter-quant - Designed for ephemeral containers. Relevant data for your environment will survive your container. - Optimized for size, it's a 2GB image vs 4GB for jupyter/scipy-notebook - Includes jedi language server, jupyterlab-lsp, black and isort. - It does NOT include conda/mamba. All packages are installed with pip under ~/.local/lib/python. Which should be mounted in a dedicated vol
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