Research:QuantConnect团队的开源研究笔记本
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2021-05-25
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Research-master.zip （30个子文件） 
Research-master Documentation Python 
Stock-Picking-With-Fundamental-Data.ipynb 4KB Predicting-Future-Prices-With-TensorFlow.ipynb 10KB Predicting-Future-Prices-With-Sklearn.ipynb 10KB Plotting-Price-Data-Using-Matplotlib.ipynb 7KB Predicting-Future-Prices-With-Keras.ipynb 7KB Plotting-Price-Data-Using-Plotly.ipynb 7KB Plotting-Price-Data-Using-Seaborn.ipynb 4KB
flask.png 13KB Analysis 05 Pairs Trading Strategy Based on Cointegration.ipynb 182KB 04 EMA Cross Strategy Based on VXX.ipynb 75KB 02 Kalman Filter Based Pairs Trading.ipynb 892KB 01 Fundamental Factor Analysis.ipynb 734KB 03 Mean-Variance Portfolio Optimization .ipynb 125KB Research2Production Python 08 Long Short-Term Memory.ipynb 47KB 02 Random Forest Regression.ipynb 5KB 04 Kalman Filters and Pairs Trading.ipynb 8KB 07 Hidden Markov Models.ipynb 40KB 01 Mean Reversion.ipynb 4KB 05 Stationary Processes and Z-Scores.ipynb 51KB 06 Principle Compenent Analysis.ipynb 16KB 03 Uncorrelated Assets.ipynb 4KB CSharp 04 Kalman Filters and Pairs Trading CSharp.ipynb 8KB 03 Uncorrelated Assets CSharp.ipynb 5KB 01 Mean Reversion CSharp.ipynb 4KB 05 Stationary Processes and Z-Scores CSharp.ipynb 4KB LICENSE 11KB README.md 4KB Topical 20200507_hopevfear_research.ipynb 60KB 20200601_airlinebuybacks_research.ipynb 3.42MB Scratch Notebooks Optimization Analysis - Draft.ipynb 714KB资源评论
