股票买卖最佳时机leetcode-Kinito.Finance:Kinito金融知识库

[{"title":"（ 619 个子文件 204.85MB ） 股票买卖最佳时机leetcode-Kinito.Finance:Kinito金融知识库","children":[{"title":"creditcard.7z <span style='color:#111;'> 59.49MB </span>","children":null,"spread":false},{"title":"95_nb_train <span style='color:#111;'> 108.78KB </span>","children":null,"spread":false},{"title":"AAPL_CLOSE <span style='color:#111;'> 33.06KB </span>","children":null,"spread":false},{"title":"activate <span style='color:#111;'> 2.18KB </span>","children":null,"spread":false},{"title":"AMZN_CLOSE <span style='color:#111;'> 22.04KB </span>","children":null,"spread":false},{"title":"activate.bat <span style='color:#111;'> 938B </span>","children":null,"spread":false},{"title":"deactivate.bat <span style='color:#111;'> 347B </span>","children":null,"spread":false},{"title":"pyvenv.cfg <span style='color:#111;'> 71B </span>","children":null,"spread":false},{"title":"CISCO_CLOSE <span style='color:#111;'> 33.06KB </span>","children":null,"spread":false},{"title":"SimpleMovingAverageCrossover.cs <span style='color:#111;'> 3.04KB </span>","children":null,"spread":false},{"title":"04-Visualization-Matplotlib-Pandas_mcdonalds.csv <span style='color:#111;'> 435.32KB </span>","children":null,"spread":false},{"title":"Section-11_PG_1995-03_23_2017.csv <span style='color:#111;'> 378.92KB </span>","children":null,"spread":false},{"title":"Section-11_69-Indices_Data_01.csv <span style='color:#111;'> 281.53KB </span>","children":null,"spread":false},{"title":"Section-11_67-4_stocks_1995_2017.csv <span style='color:#111;'> 280.90KB </span>","children":null,"spread":false},{"title":"Section-11_MSFT_2000_2017.csv <span style='color:#111;'> 276.54KB </span>","children":null,"spread":false},{"title":"Section-11_67-5_stocks_2000_2017.csv <span style='color:#111;'> 263.39KB </span>","children":null,"spread":false},{"title":"Section-11_69-Indices_Exercise_Data.csv <span style='color:#111;'> 206.58KB </span>","children":null,"spread":false},{"title":"07-Stock-Market-Analysis-Capstone-Ford_Stock.csv <span style='color:#111;'> 138.08KB </span>","children":null,"spread":false},{"title":"07-Stock-Market-Analysis-Capstone-GM_Stock.csv <span style='color:#111;'> 136.54KB </span>","children":null,"spread":false},{"title":"Section-12_MSFT_AAPL_2000_2017.csv <span style='color:#111;'> 129.09KB </span>","children":null,"spread":false},{"title":"07-Stock-Market-Analysis-Capstone-Tesla_Stock.csv <span style='color:#111;'> 128.10KB </span>","children":null,"spread":false},{"title":"Section-11_69-Indices_Data_02.csv <span style='color:#111;'> 113.46KB </span>","children":null,"spread":false},{"title":"Section-10_57-ImportingandOrganizingYourDatainPython-PartIII-Data_02.csv <span style='color:#111;'> 107.00KB </span>","children":null,"spread":false},{"title":"Section-17_MSFT_2000.csv <span style='color:#111;'> 91.35KB </span>","children":null,"spread":false},{"title":"09-Python-Finance-Fundamentals_walmart_stock.csv <span style='color:#111;'> 88.15KB </span>","children":null,"spread":false},{"title":"05-Pandas-with-Time-Series_walmart_stock.csv <span style='color:#111;'> 88.15KB </span>","children":null,"spread":false},{"title":"walmart_stock.csv <span style='color:#111;'> 88.15KB </span>","children":null,"spread":false},{"title":"04-Visualization-Matplotlib-Pandas_df1.csv <span style='color:#111;'> 87.45KB </span>","children":null,"spread":false},{"title":"CrudeOil_News_Articles.csv <span style='color:#111;'> 82.23KB </span>","children":null,"spread":false},{"title":"94_crude_oil_news.csv <span style='color:#111;'> 82.23KB </span>","children":null,"spread":false},{"title":"Section-12_PG_BEI.DE_2007_2017.csv <span style='color:#111;'> 77.05KB </span>","children":null,"spread":false},{"title":"Section-14_Markowitz_Data.csv <span style='color:#111;'> 56.85KB </span>","children":null,"spread":false},{"title":"07-Stock-Market-Analysis-Capstone-Project_Tesla_Stock.csv <span style='color:#111;'> 55.21KB </span>","children":null,"spread":false},{"title":"07-Stock-Market-Analysis-Capstone-Project_Ford_Stock.csv <span style='color:#111;'> 53.26KB </span>","children":null,"spread":false},{"title":"07-Stock-Market-Analysis-Capstone-Project_GM_Stock.csv <span style='color:#111;'> 53.02KB </span>","children":null,"spread":false},{"title":"Section-17_PG_2007_2017.csv <span style='color:#111;'> 52.78KB </span>","children":null,"spread":false},{"title":"03-GeneralPandas_banklist.csv <span style='color:#111;'> 44.37KB </span>","children":null,"spread":false},{"title":"Section-15_CAPM_Exercise_Data.csv <span style='color:#111;'> 40.00KB </span>","children":null,"spread":false},{"title":"Section-14_87-WMT_FB_BP_2014_2017.csv <span style='color:#111;'> 39.76KB </span>","children":null,"spread":false},{"title":"Section-15_CAPM_Data.csv <span style='color:#111;'> 39.49KB </span>","children":null,"spread":false},{"title":"04-Visualization-Matplotlib-Pandas_df3.csv <span style='color:#111;'> 37.61KB </span>","children":null,"spread":false},{"title":"09-Python-Finance-Fundamentals_AAPL_CLOSE.csv <span style='color:#111;'> 33.06KB </span>","children":null,"spread":false},{"title":"09-Python-Finance-Fundamentals_IBM_CLOSE.csv <span style='color:#111;'> 33.06KB </span>","children":null,"spread":false},{"title":"09-Python-Finance-Fundamentals_CISCO_CLOSE.csv <span style='color:#111;'> 33.06KB </span>","children":null,"spread":false},{"title":"Section-12_Walmart_FB_2014_2017.csv <span style='color:#111;'> 24.87KB </span>","children":null,"spread":false},{"title":"Section-14_Walmart_FB_2014_2017.csv <span style='color:#111;'> 24.87KB </span>","children":null,"spread":false},{"title":"09-Python-Finance-Fundamentals_AMZN_CLOSE.csv <span style='color:#111;'> 22.04KB </span>","children":null,"spread":false},{"title":"09-Python-Finance-Fundamentals_GOOG_CLOSE.csv <span style='color:#111;'> 12.20KB </span>","children":null,"spread":false},{"title":"Section-10_57-ImportingandOrganizingYourDatainPython-PartIII-Data_01.csv <span style='color:#111;'> 5.73KB </span>","children":null,"spread":false},{"title":"Section-10_57-ImportingandOrganizingYourDatainPython-PartIII-Data_01.csv <span style='color:#111;'> 5.67KB </span>","children":null,"spread":false},{"title":"08-Time-Series-Analysis_monthly-milk-production-pounds-p.csv <span style='color:#111;'> 2.42KB </span>","children":null,"spread":false},{"title":"08-Time-Series-Analysis_airline_passengers.csv <span style='color:#111;'> 2.08KB </span>","children":null,"spread":false},{"title":"04-Visualization-Matplotlib-Pandas_df2.csv <span style='color:#111;'> 779B </span>","children":null,"spread":false},{"title":"aws.csv <span style='color:#111;'> 89B </span>","children":null,"spread":false},{"title":"03-GeneralPandas_example.csv <span style='color:#111;'> 46B </span>","children":null,"spread":false},{"title":".gitignore <span style='color:#111;'> 1.76KB </span>","children":null,"spread":false},{"title":".gitignore <span style='color:#111;'> 863B </span>","children":null,"spread":false},{"title":".gitignore <span style='color:#111;'> 503B </span>","children":null,"spread":false},{"title":".gitignore <span style='color:#111;'> 263B </span>","children":null,"spread":false},{"title":".gitignore <span style='color:#111;'> 74B </span>","children":null,"spread":false},{"title":".gitignore <span style='color:#111;'> 14B </span>","children":null,"spread":false},{"title":".gitignore <span style='color:#111;'> 5B </span>","children":null,"spread":false},{"title":"GOOG_CLOSE <span style='color:#111;'> 12.20KB </span>","children":null,"spread":false},{"title":"IBM_CLOSE <span style='color:#111;'> 33.06KB </span>","children":null,"spread":false},{"title":"Kinito.Finance.iml <span style='color:#111;'> 385B </span>","children":null,"spread":false},{"title":"05-Futures.ipynb <span style='color:#111;'> 1.41MB </span>","children":null,"spread":false},{"title":"03-Portfolio-Analysis-with-Pyfolio.ipynb <span style='color:#111;'> 837.61KB </span>","children":null,"spread":false},{"title":"02-Hedging.ipynb <span style='color:#111;'> 714.71KB </span>","children":null,"spread":false},{"title":"01-Leverage.ipynb <span style='color:#111;'> 330.30KB </span>","children":null,"spread":false},{"title":"02-Portfolio-Optimization.ipynb <span style='color:#111;'> 299.65KB </span>","children":null,"spread":false},{"title":"03-First-Trading-Algorithm.ipynb <span style='color:#111;'> 287.27KB </span>","children":null,"spread":false},{"title":"01-Portfolio-Allocation-and-Sharpe-Ratio.ipynb <span style='color:#111;'> 172.81KB </span>","children":null,"spread":false},{"title":"03-CAPM-Capital-Asset-Pricing-Model.ipynb <span style='color:#111;'> 166.98KB </span>","children":null,"spread":false},{"title":"01-Quantopian-Research-Basics.ipynb <span style='color:#111;'> 69.80KB </span>","children":null,"spread":false},{"title":"06-Pipelines.ipynb <span style='color:#111;'> 56.16KB </span>","children":null,"spread":false},{"title":"00-Pipeline-Example-Walkthrough.ipynb <span style='color:#111;'> 23.38KB </span>","children":null,"spread":false},{"title":"02-Basic-Algorithm-Methods.ipynb <span style='color:#111;'> 13.87KB </span>","children":null,"spread":false},{"title":"Downloading and Saving S&P 100 Stock Pricing Data using IEX Finance.ipynb <span style='color:#111;'> 13.26KB </span>","children":null,"spread":false},{"title":"04-Stock-Sentiment-Analysis-Project.ipynb <span style='color:#111;'> 3.80KB </span>","children":null,"spread":false},{"title":"05-Trading-Algorithm-Exercise-Solutions.ipynb <span style='color:#111;'> 3.52KB </span>","children":null,"spread":false},{"title":"04-Trading-Algorithm-Exercise.ipynb <span style='color:#111;'> 2.17KB </span>","children":null,"spread":false},{"title":"stock-symbol-scaper.json <span style='color:#111;'> 53.70KB </span>","children":null,"spread":false},{"title":"LICENSE <span style='color:#111;'> 1.05KB </span>","children":null,"spread":false},{"title":"README.md <span style='color:#111;'> 12.30KB </span>","children":null,"spread":false},{"title":"README.md <span style='color:#111;'> 12.16KB </span>","children":null,"spread":false},{"title":"README.md <span style='color:#111;'> 8.51KB </span>","children":null,"spread":false},{"title":"README.md <span style='color:#111;'> 920B </span>","children":null,"spread":false},{"title":"README.md <span style='color:#111;'> 451B </span>","children":null,"spread":false},{"title":"README.md <span style='color:#111;'> 19B </span>","children":null,"spread":false},{"title":"README.md <span style='color:#111;'> 0B </span>","children":null,"spread":false},{"title":"Section-0.pdf <span style='color:#111;'> 1.96MB </span>","children":null,"spread":false},{"title":"Section-11_60.pdf <span style='color:#111;'> 1.02MB </span>","children":null,"spread":false},{"title":"README.pdf <span style='color:#111;'> 1008.64KB </span>","children":null,"spread":false},{"title":"requirements.pdf <span style='color:#111;'> 642.66KB </span>","children":null,"spread":false},{"title":"Lecture-15-Chart-Patterns.pdf <span style='color:#111;'> 600.77KB </span>","children":null,"spread":false},{"title":"Section-02_08.pdf <span style='color:#111;'> 589.59KB </span>","children":null,"spread":false},{"title":"Lecture-14-Trends.pdf <span style='color:#111;'> 449.10KB </span>","children":null,"spread":false},{"title":"12-4_Fundamentals-FinancialStatements.pdf <span style='color:#111;'> 419.24KB </span>","children":null,"spread":false},{"title":"Lecture-13-Candlesticks.pdf <span style='color:#111;'> 338.71KB </span>","children":null,"spread":false},{"title":"Section-10_47.pdf <span style='color:#111;'> 256.13KB </span>","children":null,"spread":false},{"title":"......","children":null,"spread":false},{"title":"<span style='color:steelblue;'>文件过多，未全部展示</span>","children":null,"spread":false}],"spread":true}]