Investment Practice

这门课属于GE level 3，赵鹏飞老师开的课，22级直接没有选课通道，直接指派。 这门课头一个月先学python（前两周的内容比Python Programming for Beginners的内容还多） 后面会教一点量化交易的入门内容。

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文件列表

📁 Assignments 25fall
    📁 Assignment 1_ Leveraged ETF Analysis          • 📄 Assignment 1 - Leveraged ETF Analysis.ipynb
         • 📄 data_loader.py
         • 📄 qqq_tqqq_prices.csv
         • 📄 qqq_tqqq_returns.csv
    📁 Assignment 1_ Leveraged ETF Analysis (Sol)          • 📄 Assignment 1 - Leveraged ETF Analysis-Sol.ipynb
         • 📄 data_loader.py
         • 📄 qqq_tqqq_prices.csv
         • 📄 qqq_tqqq_returns.csv
    📁 Assignment 2 Portfolio Risk Analysis          • 📄 Assignment 2.ipynb
         • 📄 portfolio1_tech_sector_returns.csv
         • 📄 portfolio2_diversified_sectors_returns.csv
    📁 Assignment 2 Portfolio Risk Analysis (Sol)          • 📄 Assignment 2 (Sol).ipynb
         • 📄 portfolio1_tech_sector_returns.csv
         • 📄 portfolio2_diversified_sectors_returns.csv
    📁 Lab 0 Python Review          • 📄 Lab 0 Python Review.ipynb
    📁 Lab 0 Python Review (Sol)          • 📄 Lab 0 Python Review-Sol.ipynb
    📁 Lab 1 Numpy          • 📄 Lab 1 Numpy.ipynb
    📁 Lab 1 Numpy (Sol)          • 📄 Lab 1 Numpy-Sol.ipynb
    📁 Lab 2 Pandas Time Series          • 📄 AAPL_stock_data.csv
         • 📄 GOOGL_stock_data.csv
         • 📄 Lab 2 Pandas.ipynb
         • 📄 MSFT_stock_data.csv
         • 📄 TSLA_stock_data.csv
    📁 Lab 2 Pandas Time Series (Sol)          • 📄 Lab 2 Pandas-Sol.ipynb
    📁 Lab 3 Plotting          • 📄 AAPL_stock_data.csv
         • 📄 GOOGL_stock_data.csv
         • 📄 Lab 3 Graphics.ipynb
         • 📄 MSFT_stock_data.csv
         • 📄 TSLA_stock_data.csv
    📁 Lab 3 Plotting (Sol)          • 📄 AAPL_stock_data.csv
         • 📄 GOOGL_stock_data.csv
         • 📄 Lab 3 Graphics-Sol.ipynb
         • 📄 MSFT_stock_data.csv
         • 📄 TSLA_stock_data.csv
    📁 Lab 4 Lumpsum or DCA          • 📄 Lab_Guide_Lumpsum_vs_DCA_Student.ipynb
         • 📄 spy.csv
    📁 Lab 4 Lumpsum or DCA (Sol)          • 📄 Lab_Guide_Lumpsum_vs_DCA-sol.ipynb
         • 📄 spy.csv
    📁 Lab 5 Merger and Acquisition          • 📄 Lab 5 Merger Arbitrage.ipynb
         • 📄 TWTR.csv
    📁 Lab 5 Merger and Acquisition (Sol)          • 📄 Lab 5 Merger Arbitrage (Sol).ipynb
         • 📄 TWTR.csv
    📁 Lab 6 Backtrader          • 📄 Lab 6 Backtrader Fundamental.ipynb
         • 📄 MSFT.csv
    📁 Lab 6 Backtrader (NEW)          • 📄 Lab 6 Backtrader Fundamental.ipynb
         • 📄 MSFT.csv
    📁 Lab 6 Backtrader (Sol)          • 📄 Lab 6 Backtrader Fundamental-sol.ipynb
         • 📄 MSFT.csv
    📁 Lab 7 Efficient Frontier          • 📄 Lab 7 Efficient Frontier.ipynb
         • 📄 stock_prices.csv
    📁 Lab 7 Efficient Frontier (Sol)          • 📄 Lab 7 Efficient Frontier (Sol).ipynb
         • 📄 stock_prices.csv
📁 Notes 25fall
    📁 0.0 Arrangement
        📁 img              • 📄 Candlestick.jpeg
             • 📄 music-note.png
             • 📄 piano.mp4
         • 📄 0.0-arrangement.ipynb
    📁 1.0 Python Review          • 📄 1.0 python-review.ipynb
    📁 1.1 Numpy          • 📄 1.1 numpy.ipynb
    📁 1.2 Pandas-TimeSeries          • 📄 AAPL_stock_data.csv
         • 📄 financial_close_prices.csv
         • 📄 MSFT_stock_data.csv
         • 📄 Pandas_TimeSeries_Finance_Comprehensive.ipynb
         • 📄 sample_portfolio.csv
    📁 1.3 Matplotlib          • 📄 1.3 graphics.ipynb
         • 📄 Microsoft.png
    📁 1.3 Plotting          • 📄 AAPL_stock_data.csv
         • 📄 GOOGL_stock_data.csv
         • 📄 MSFT_stock_data.csv
         • 📄 plotting.ipynb
         • 📄 TSLA_stock_data.csv
    📁 2 Financial Assets          • 📄 bond_interest_rate_data.csv
         • 📄 commodity_seasonal_data.csv
         • 📄 fed_policy_data.csv
         • 📄 futures_leverage_data.csv
         • 📄 gold_price_data.csv
         • 📄 stock_earnings_data.csv
         • 📄 trading_assets.ipynb
         • 📄 图片1.png
         • 📄 期货课件.ipynb
    📁 3 Backtesting          • 📄 3.1-Build a simple trading strategy.ipynb
         • 📄 3.2 technical_analysis.ipynb
         • 📄 3.3 PerformanceMetrics.ipynb
         • 📄 600000SH.csv
         • 📄 alpha.mp4
         • 📄 beta.mp4
         • 📄 ema.png
         • 📄 KD.mp4
         • 📄 macd.mp4
         • 📄 meta.csv
         • 📄 MSFT.csv
    📁 4 Trading Strategies          • 📄 AAPL.csv
         • 📄 amd2013_2014.xlsx
         • 📄 amd_data.xlsx
         • 📄 Classical_Trading_Strategies.ipynb
         • 📄 cme holidays.csv
         • 📄 gbpusd.csv
         • 📄 henry hub european options.csv
         • 📄 JP_2Y_Rate.csv
         • 📄 KO.csv
         • 📄 META.csv
         • 📄 nvda2013_2014.xlsx
         • 📄 nvda_data.xlsx
         • 📄 PEP.csv
         • 📄 treasury yield curve rates.csv
         • 📄 US_2Y_Rate.csv
         • 📄 USDJPY.csv
         • 📄 USDJPY_CarryTrade.csv
         • 📄 学生课程分享.ipynb
    📁 5 BackTrader          • 📄 5.1 Backtrader I.ipynb
         • 📄 5.2 Backtrader II.ipynb
         • 📄 bt_flow.png
         • 📄 bt_framework.png
         • 📄 bt_logo.png
         • 📄 MSFT.csv
         • 📄 sma.png
         • 📄 strategy-life.png
    📁 6 Risk1_ Risk Fundamentals and Efficient Frontier          • 📄 6.1 risk-fundamentals.ipynb
         • 📄 6.2 Efficient Frontier.ipynb
         • 📄 stock_prices.csv
         • 📄 stock_returns.csv
    📁 7 Risk2_ Portfolio Risk          • 📄 portfolio-volatility.ipynb
         • 📄 sector_etfs.csv
         • 📄 sector_returns.csv
         • 📄 stock_prices.csv
         • 📄 stock_returns.csv