ile:第11节-主成分分析.mp4 file:第15节 常见蒙特卡罗方差降低方法与期权定价.mp4 file:00基本预测.mp4 file:第05节-Parameter optimization（参数优化）.mp4 file:第04节-金融数据建模与预测-风险测度因子.mp4 file:第06节-贝叶斯随机波动率.mp4 file:第08节-金融时间序列-II-Hidden Markov Models.mp4 file:第05节-事件驱动的交易策略和实施.mp4 file:第03节-Python for Finance 常用packages 学习 II.mp4 file:第14节 美式期权和欧式期权定价.mp4 file:Lecture 3 Python 常用Library II 与金融数据处理.ipynb file:2-4课程大纲与作业.pptx file:Homework Answer2.pdf file:Lecture 1-Python量化交易概述.pdf file:lecture 3(1).pptx file:equities_bonds_60_40_etf_portfolio_backtest.py file:kalman_qstrader_backtest.py file:intraday_ml_backtest.py file:arima_garch.R file:coint_bollinger_strategy.pyc file:Lecture 6-贝叶斯.pdf file:5-6课件.pptx file:Lecture 8-Kalman Filter.pdf file:hmm.R file:mc.py file:Lecture 10 SVM.ipynb