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added [Jupyter Quant](https://github.com/gnzsnz/jupyter-quant) A dockerized Jupyter quant research environment.

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@@ -161,6 +161,10 @@ A curated list of insanely awesome libraries, packages and resources for Quants
- [alphalens](https://github.com/quantopian/alphalens) - Performance analysis of predictive alpha factors. - [alphalens](https://github.com/quantopian/alphalens) - Performance analysis of predictive alpha factors.
- [Spectre](https://github.com/Heerozh/spectre) - GPU-accelerated Factors analysis library and Backtester - [Spectre](https://github.com/Heerozh/spectre) - GPU-accelerated Factors analysis library and Backtester
### Quant Research Environment
- [Jupyter Quant](https://github.com/gnzsnz/jupyter-quant) - A dockerized Jupyter quant research environment with preloaded tools for quant analysis, statsmodels, pymc, arch, py_vollib, zipline-reloaded, PyPortfolioOpt, etc.
### Time Series ### Time Series
- [ARCH](https://github.com/bashtage/arch) - ARCH models in Python. - [ARCH](https://github.com/bashtage/arch) - ARCH models in Python.