[DesireCourse.Net] Udemy - Python for Financial Analysis and Algorithmic Trading

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[DesireCourse.Net] Udemy - Python for Financial Analysis and Algorithmic Trading

磁力链接/BT种子简介

种子哈希：9991ed661175f0c79ef72dedf256bbf7722f0345
文件大小： 2.44G
已经下载：1695次
下载速度：极快
收录时间：2021-03-14
最近下载：2024-11-28

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文件列表

  • 9. Capstone Stock Market Analysis Project/3. Stock Market Analysis Project Solutions Part One.mp4 66.4 MB
  • 13. Advanced Quantopian and Trading Algorithms/13. Futures on Quantopian Part Two.mp4 63.2 MB
  • 9. Capstone Stock Market Analysis Project/5. Stock Market Analysis Project Solutions Part Three.mp4 56.0 MB
  • 13. Advanced Quantopian and Trading Algorithms/5. Pipeline Trading Algorithm Code along Part Three.mp4 53.0 MB
  • 13. Advanced Quantopian and Trading Algorithms/12. Futures on Quantopian.mp4 50.0 MB
  • 11. Python Finance Fundamentals/9. Portfolio Optimization Code Along Three.mp4 48.5 MB
  • 5. General Pandas Overview/5. DataFrames Part Two.mp4 48.2 MB
  • 5. General Pandas Overview/4. DataFrames.mp4 46.0 MB
  • 6. Visualization with Matplotlib and Pandas/3. Matplotlib Basics - Part One.mp4 43.7 MB
  • 6. Visualization with Matplotlib and Pandas/9. Pandas Time Series Visualization.mp4 41.7 MB
  • 11. Python Finance Fundamentals/4. Portfolio Allocation Code Along Part One.mp4 41.6 MB
  • 10. Time Series Analysis/4. Introduction to Statsmodels.mp4 41.5 MB
  • 8. Pandas with Time Series Data/6. Pandas Rolling and Expanding.mp4 40.6 MB
  • 12. Basics of Algorithmic Trading with Quantopian/4. Quantopian Research Basics.mp4 40.5 MB
  • 3. Python Crash Course/3. Python Crash Course Part One.mp4 39.8 MB
  • 12. Basics of Algorithmic Trading with Quantopian/12. Quantopian Pipelines Factors.mp4 39.6 MB
  • 13. Advanced Quantopian and Trading Algorithms/9. Portfolio Analysis with PyFolio.mp4 38.6 MB
  • 12. Basics of Algorithmic Trading with Quantopian/7. First Trading Algorithm - Part One.mp4 38.3 MB
  • 12. Basics of Algorithmic Trading with Quantopian/8. First Trading Algorithm - Part Two.mp4 38.3 MB
  • 5. General Pandas Overview/11. Data Input and Output.mp4 37.7 MB
  • 13. Advanced Quantopian and Trading Algorithms/8. Hedging- Part Two.mp4 37.5 MB
  • 10. Time Series Analysis/7. EWMA Code Along.mp4 37.2 MB
  • 13. Advanced Quantopian and Trading Algorithms/10. Stock Sentiment Analysis Project.mp4 37.0 MB
  • 10. Time Series Analysis/15. ARIMA Code Part Four.mp4 36.8 MB
  • 8. Pandas with Time Series Data/4. Time Resampling.mp4 36.4 MB
  • 6. Visualization with Matplotlib and Pandas/4. Matplotlib Basics - Part Two.mp4 35.6 MB
  • 5. General Pandas Overview/13. General Pandas Exercise Solutions.mp4 35.6 MB
  • 12. Basics of Algorithmic Trading with Quantopian/6. Quantopian Algorithms Basics Part Two.mp4 35.6 MB
  • 12. Basics of Algorithmic Trading with Quantopian/5. Quantopian Algorithms Basics Part One.mp4 34.9 MB
  • 6. Visualization with Matplotlib and Pandas/11. Pandas Visualization Exercise Solutions.mp4 33.9 MB
  • 10. Time Series Analysis/13. ARIMA Code Part Two.mp4 33.8 MB
  • 6. Visualization with Matplotlib and Pandas/5. Matplotlib Part Three.mp4 33.8 MB
  • 4. NumPy/3. NumPy Arrays.mp4 33.5 MB
  • 6. Visualization with Matplotlib and Pandas/8. Pandas Visualization Overview.mp4 33.1 MB
  • 11. Python Finance Fundamentals/7. Portfolio Optimization Code Along One.mp4 33.0 MB
  • 13. Advanced Quantopian and Trading Algorithms/7. Hedging.mp4 32.8 MB
  • 12. Basics of Algorithmic Trading with Quantopian/2. Introduction to Quantopian.mp4 32.5 MB
  • 6. Visualization with Matplotlib and Pandas/7. Matplotlib Exercise Solutions.mp4 32.5 MB
  • 13. Advanced Quantopian and Trading Algorithms/6. Leverage.mp4 30.3 MB
  • 5. General Pandas Overview/9. Merging, Joining, and Concatenating DataFrames.mp4 30.3 MB
  • 3. Python Crash Course/5. Python Crash Course Part Three.mp4 30.0 MB
  • 11. Python Finance Fundamentals/15. CAPM Code Along.mp4 28.9 MB
  • 9. Capstone Stock Market Analysis Project/4. Python Stock Market Analysis Solutions - Part Two.mp4 28.8 MB
  • 13. Advanced Quantopian and Trading Algorithms/2. Pipeline Trading Algorithm Example - Code Along - Part One.mp4 28.5 MB
  • 7. Data Sources/4. Quandl.mp4 28.4 MB
  • 4. NumPy/7. Numpy Exercise Solutions.mp4 28.4 MB
  • 9. Capstone Stock Market Analysis Project/2. Stock Market Analysis Project.mp4 28.2 MB
  • 12. Basics of Algorithmic Trading with Quantopian/10. Trading Algorithm Exercise Solutions Part One.mp4 27.7 MB
  • 5. General Pandas Overview/10. Pandas Common Operations.mp4 27.4 MB
  • 13. Advanced Quantopian and Trading Algorithms/3. Pipeline Trading Algorithm - Code Along - Part Two.mp4 27.0 MB
  • 10. Time Series Analysis/11. ARIMA with Statsmodels.mp4 27.0 MB
  • 11. Python Finance Fundamentals/12. Order Books.mp4 27.0 MB
  • 12. Basics of Algorithmic Trading with Quantopian/14. Quantopian Pipeline - Masking and Classifiers.mp4 26.6 MB
  • 3. Python Crash Course/4. Python Crash Course Part Two.mp4 25.4 MB
  • 3. Python Crash Course/7. Python Crash Course Exercise Solutions.mp4 23.2 MB
  • 2. Course Materials and Set-up/2. Course Installation Guide.srt 21.7 MB
  • 2. Course Materials and Set-up/2. Course Installation Guide.mp4 21.7 MB
  • 5. General Pandas Overview/6. DataFrames Part Three.mp4 21.4 MB
  • 4. NumPy/5. Numpy Indexing.mp4 21.3 MB
  • 9. Capstone Stock Market Analysis Project/6. Stock Market Analysis Project Solutions Part Four.mp4 20.6 MB
  • 8. Pandas with Time Series Data/3. Datetime Index.mp4 19.2 MB
  • 11. Python Finance Fundamentals/8. Portfolio Optimization Code Along Two.mp4 18.2 MB
  • 10. Time Series Analysis/9. ARIMA Theory.mp4 18.1 MB
  • 8. Pandas with Time Series Data/5. Time Shifts.mp4 17.9 MB
  • 13. Advanced Quantopian and Trading Algorithms/11. What are Futures.mp4 17.4 MB
  • 5. General Pandas Overview/8. Group By with Pandas.mp4 16.8 MB
  • 12. Basics of Algorithmic Trading with Quantopian/13. Quantopian Pipelines Filters.mp4 16.5 MB
  • 5. General Pandas Overview/3. Series.mp4 16.1 MB
  • 10. Time Series Analysis/14. ARIMA Code Part Three.mp4 15.8 MB
  • 10. Time Series Analysis/8. ETS Code Along.mp4 15.6 MB
  • 4. NumPy/6. NumPy Review Exercise.mp4 15.4 MB
  • 11. Python Finance Fundamentals/5. Portfolio Allocation Code Along Part Two.mp4 14.7 MB
  • 11. Python Finance Fundamentals/3. Sharpe Ratio Slides.mp4 14.1 MB
  • 5. General Pandas Overview/7. Missing Data.mp4 13.7 MB
  • 2. Course Materials and Set-up/2.3 Python-for-Finance-Repo-master.zip.zip 13.2 MB
  • 1. Course Introduction/4.1 Python-for-Finance-Repo-master.zip.zip 13.2 MB
  • 3. Python Crash Course/6. Python Crash Course Exercises.mp4 13.1 MB
  • 10. Time Series Analysis/10. ACF and PACF.mp4 12.2 MB
  • 11. Python Finance Fundamentals/11. Types of Funds.mp4 11.9 MB
  • 6. Visualization with Matplotlib and Pandas/6. Matplotlib Exercise.mp4 10.8 MB
  • 11. Python Finance Fundamentals/14. CAPM - Capital Asset Pricing Model.mp4 10.3 MB
  • 7. Data Sources/3. Pandas DataReader.mp4 10.3 MB
  • 4. NumPy/4. Numpy Operations.mp4 10.0 MB
  • 11. Python Finance Fundamentals/6. Portfolio Optimization.mp4 10.0 MB
  • 12. Basics of Algorithmic Trading with Quantopian/9. Trading Algorithm Exercise.mp4 9.3 MB
  • 5. General Pandas Overview/12. General Pandas Review Exercises.mp4 9.1 MB
  • 1. Course Introduction/2. Course Overview Lecture (DON'T SKIP THIS!).mp4 9.0 MB
  • 1. Course Introduction/1. Introduction to Course.mp4 8.9 MB
  • 10. Time Series Analysis/5. ETS Theory.mp4 8.1 MB
  • 10. Time Series Analysis/3. Time Series Basics.mp4 7.2 MB
  • 10. Time Series Analysis/5. ETS Theory.srt 6.7 MB
  • 11. Python Finance Fundamentals/16. Stock Splits and Dividends.mp4 6.6 MB
  • 6. Visualization with Matplotlib and Pandas/10. Pandas Visualization Exercise Overview.mp4 5.9 MB
  • 10. Time Series Analysis/2. Introduction to Time Series.mp4 5.6 MB
  • 10. Time Series Analysis/6. EWMA Theory.mp4 5.5 MB
  • 5. General Pandas Overview/2. Introduction to Pandas.mp4 5.3 MB
  • 12. Basics of Algorithmic Trading with Quantopian/11. Trading Algorithm Exercise Solutions Part Two.mp4 5.1 MB
  • 11. Python Finance Fundamentals/13. Short Selling.mp4 5.0 MB
  • 11. Python Finance Fundamentals/1. Welcome to Finance Fundamentals.mp4 4.6 MB
  • 10. Time Series Analysis/1. Welcome to Time Series Analysis.mp4 4.4 MB
  • 9. Capstone Stock Market Analysis Project/1. Welcome to the Capstone Project!.mp4 4.1 MB
  • 11. Python Finance Fundamentals/17. EMH.mp4 4.0 MB
  • 6. Visualization with Matplotlib and Pandas/2. Introduction to Visualization in Python.mp4 3.7 MB
  • 4. NumPy/2. Introduction to NumPy.mp4 3.3 MB
  • 12. Basics of Algorithmic Trading with Quantopian/1. Welcome to the Quantopian Section.mp4 3.2 MB
  • 6. Visualization with Matplotlib and Pandas/1. Welcome to Visualization.mp4 3.0 MB
  • 4. NumPy/1. Welcome to NumPy.mp4 3.0 MB
  • 5. General Pandas Overview/1. Welcome to Pandas.mp4 2.8 MB
  • 7. Data Sources/1. Introduction to Data Sources.mp4 2.7 MB
  • 3. Python Crash Course/2. Introduction to Crash Course.mp4 2.5 MB
  • 3. Python Crash Course/1. Welcome to the Python Crash Course.mp4 2.4 MB
  • 11. Python Finance Fundamentals/10. Key Financial Topics.mp4 2.1 MB
  • 8. Pandas with Time Series Data/2. Introduction to Time Series with Pandas.mp4 1.9 MB
  • 11. Python Finance Fundamentals/2. Introduction to Python Finance Fundamentals.mp4 1.7 MB
  • 8. Pandas with Time Series Data/1. Welcome to Pandas for Time Series.mp4 1.7 MB
  • 13. Advanced Quantopian and Trading Algorithms/1. Welcome to Trading Algorithms.mp4 1.6 MB
  • 11. Python Finance Fundamentals/15.1 SPY.csv.csv 143.8 kB
  • 13. Advanced Quantopian and Trading Algorithms/13. Futures on Quantopian Part Two.srt 31.6 kB
  • 9. Capstone Stock Market Analysis Project/3. Stock Market Analysis Project Solutions Part One.srt 28.9 kB
  • 3. Python Crash Course/3. Python Crash Course Part One.srt 28.3 kB
  • 13. Advanced Quantopian and Trading Algorithms/12. Futures on Quantopian.srt 27.9 kB
  • 13. Advanced Quantopian and Trading Algorithms/5. Pipeline Trading Algorithm Code along Part Three.srt 27.8 kB
  • 8. Pandas with Time Series Data/6. Pandas Rolling and Expanding.srt 27.6 kB
  • 12. Basics of Algorithmic Trading with Quantopian/6. Quantopian Algorithms Basics Part Two.srt 27.1 kB
  • 6. Visualization with Matplotlib and Pandas/9. Pandas Time Series Visualization.srt 26.8 kB
  • 6. Visualization with Matplotlib and Pandas/3. Matplotlib Basics - Part One.srt 26.8 kB
  • 12. Basics of Algorithmic Trading with Quantopian/4. Quantopian Research Basics.srt 26.4 kB
  • 12. Basics of Algorithmic Trading with Quantopian/5. Quantopian Algorithms Basics Part One.srt 25.7 kB
  • 4. NumPy/3. NumPy Arrays.srt 25.5 kB
  • 12. Basics of Algorithmic Trading with Quantopian/12. Quantopian Pipelines Factors.srt 25.5 kB
  • 13. Advanced Quantopian and Trading Algorithms/9. Portfolio Analysis with PyFolio.srt 25.2 kB
  • 9. Capstone Stock Market Analysis Project/5. Stock Market Analysis Project Solutions Part Three.srt 25.1 kB
  • 11. Python Finance Fundamentals/9. Portfolio Optimization Code Along Three.srt 24.7 kB
  • 13. Advanced Quantopian and Trading Algorithms/10. Stock Sentiment Analysis Project.srt 24.5 kB
  • 12. Basics of Algorithmic Trading with Quantopian/8. First Trading Algorithm - Part Two.srt 24.4 kB
  • 12. Basics of Algorithmic Trading with Quantopian/7. First Trading Algorithm - Part One.srt 24.1 kB
  • 5. General Pandas Overview/5. DataFrames Part Two.srt 23.8 kB
  • 11. Python Finance Fundamentals/12. Order Books.srt 23.1 kB
  • 3. Python Crash Course/5. Python Crash Course Part Three.srt 23.0 kB
  • 10. Time Series Analysis/7. EWMA Code Along.srt 22.1 kB
  • 11. Python Finance Fundamentals/7. Portfolio Optimization Code Along One.srt 21.9 kB
  • 11. Python Finance Fundamentals/4. Portfolio Allocation Code Along Part One.srt 21.9 kB
  • 13. Advanced Quantopian and Trading Algorithms/7. Hedging.srt 21.4 kB
  • 13. Advanced Quantopian and Trading Algorithms/2. Pipeline Trading Algorithm Example - Code Along - Part One.srt 21.4 kB
  • 3. Python Crash Course/4. Python Crash Course Part Two.srt 21.0 kB
  • 5. General Pandas Overview/4. DataFrames.srt 21.0 kB
  • 13. Advanced Quantopian and Trading Algorithms/6. Leverage.srt 20.9 kB
  • 13. Advanced Quantopian and Trading Algorithms/8. Hedging- Part Two.srt 20.6 kB
  • 10. Time Series Analysis/15. ARIMA Code Part Four.srt 20.5 kB
  • 5. General Pandas Overview/11. Data Input and Output.srt 20.4 kB
  • 6. Visualization with Matplotlib and Pandas/4. Matplotlib Basics - Part Two.srt 20.3 kB
  • 10. Time Series Analysis/4. Introduction to Statsmodels.srt 19.9 kB
  • 8. Pandas with Time Series Data/4. Time Resampling.srt 19.8 kB
  • 10. Time Series Analysis/13. ARIMA Code Part Two.srt 19.4 kB
  • 12. Basics of Algorithmic Trading with Quantopian/10. Trading Algorithm Exercise Solutions Part One.srt 19.2 kB
  • 5. General Pandas Overview/13. General Pandas Exercise Solutions.srt 19.1 kB
  • 6. Visualization with Matplotlib and Pandas/8. Pandas Visualization Overview.srt 17.6 kB
  • 10. Time Series Analysis/11. ARIMA with Statsmodels.srt 17.6 kB
  • 5. General Pandas Overview/10. Pandas Common Operations.srt 17.3 kB
  • 6. Visualization with Matplotlib and Pandas/5. Matplotlib Part Three.srt 16.9 kB
  • 12. Basics of Algorithmic Trading with Quantopian/2. Introduction to Quantopian.srt 16.8 kB
  • 4. NumPy/5. Numpy Indexing.srt 16.7 kB
  • 7. Data Sources/4. Quandl.srt 15.8 kB
  • 11. Python Finance Fundamentals/15. CAPM Code Along.srt 15.7 kB
  • 10. Time Series Analysis/9. ARIMA Theory.srt 15.1 kB
  • 13. Advanced Quantopian and Trading Algorithms/3. Pipeline Trading Algorithm - Code Along - Part Two.srt 15.0 kB
  • 8. Pandas with Time Series Data/3. Datetime Index.srt 14.7 kB
  • 4. NumPy/7. Numpy Exercise Solutions.srt 14.6 kB
  • 5. General Pandas Overview/9. Merging, Joining, and Concatenating DataFrames.srt 14.0 kB
  • 12. Basics of Algorithmic Trading with Quantopian/14. Quantopian Pipeline - Masking and Classifiers.srt 13.9 kB
  • 3. Python Crash Course/7. Python Crash Course Exercise Solutions.srt 13.5 kB
  • 9. Capstone Stock Market Analysis Project/4. Python Stock Market Analysis Solutions - Part Two.srt 13.5 kB
  • 13. Advanced Quantopian and Trading Algorithms/11. What are Futures.srt 13.2 kB
  • 6. Visualization with Matplotlib and Pandas/11. Pandas Visualization Exercise Solutions.srt 12.9 kB
  • 9. Capstone Stock Market Analysis Project/6. Stock Market Analysis Project Solutions Part Four.srt 12.4 kB
  • 6. Visualization with Matplotlib and Pandas/7. Matplotlib Exercise Solutions.srt 12.3 kB
  • 5. General Pandas Overview/6. DataFrames Part Three.srt 12.0 kB
  • 9. Capstone Stock Market Analysis Project/2. Stock Market Analysis Project.srt 11.8 kB
  • 11. Python Finance Fundamentals/8. Portfolio Optimization Code Along Two.srt 11.2 kB
  • 11. Python Finance Fundamentals/3. Sharpe Ratio Slides.srt 11.0 kB
  • 11. Python Finance Fundamentals/5. Portfolio Allocation Code Along Part Two.srt 10.3 kB
  • 5. General Pandas Overview/3. Series.srt 10.1 kB
  • 10. Time Series Analysis/14. ARIMA Code Part Three.srt 10.1 kB
  • 10. Time Series Analysis/8. ETS Code Along.srt 9.7 kB
  • 8. Pandas with Time Series Data/5. Time Shifts.srt 9.5 kB
  • 5. General Pandas Overview/8. Group By with Pandas.srt 9.4 kB
  • 12. Basics of Algorithmic Trading with Quantopian/13. Quantopian Pipelines Filters.srt 9.3 kB
  • 11. Python Finance Fundamentals/11. Types of Funds.srt 9.2 kB
  • 10. Time Series Analysis/10. ACF and PACF.srt 9.0 kB
  • 5. General Pandas Overview/7. Missing Data.srt 8.5 kB
  • 12. Basics of Algorithmic Trading with Quantopian/9. Trading Algorithm Exercise.srt 7.7 kB
  • 11. Python Finance Fundamentals/6. Portfolio Optimization.srt 7.7 kB
  • 4. NumPy/4. Numpy Operations.srt 7.6 kB
  • 11. Python Finance Fundamentals/14. CAPM - Capital Asset Pricing Model.srt 7.5 kB
  • 4. NumPy/6. NumPy Review Exercise.srt 7.2 kB
  • 7. Data Sources/3. Pandas DataReader.srt 6.9 kB
  • 10. Time Series Analysis/3. Time Series Basics.srt 6.9 kB
  • 3. Python Crash Course/6. Python Crash Course Exercises.srt 6.9 kB
  • 6. Visualization with Matplotlib and Pandas/6. Matplotlib Exercise.srt 6.3 kB
  • 1. Course Introduction/2. Course Overview Lecture (DON'T SKIP THIS!).srt 6.0 kB
  • 5. General Pandas Overview/12. General Pandas Review Exercises.srt 5.5 kB
  • 11. Python Finance Fundamentals/16. Stock Splits and Dividends.srt 5.1 kB
  • 10. Time Series Analysis/2. Introduction to Time Series.srt 4.8 kB
  • 10. Time Series Analysis/6. EWMA Theory.srt 4.4 kB
  • 5. General Pandas Overview/2. Introduction to Pandas.srt 4.2 kB
  • 12. Basics of Algorithmic Trading with Quantopian/11. Trading Algorithm Exercise Solutions Part Two.srt 4.2 kB
  • 11. Python Finance Fundamentals/13. Short Selling.srt 3.7 kB
  • 1. Course Introduction/1. Introduction to Course.srt 3.2 kB
  • 11. Python Finance Fundamentals/17. EMH.srt 3.0 kB
  • 6. Visualization with Matplotlib and Pandas/2. Introduction to Visualization in Python.srt 2.9 kB
  • 4. NumPy/2. Introduction to NumPy.srt 2.6 kB
  • 7. Data Sources/1. Introduction to Data Sources.srt 2.2 kB
  • 3. Python Crash Course/2. Introduction to Crash Course.srt 2.1 kB
  • 6. Visualization with Matplotlib and Pandas/10. Pandas Visualization Exercise Overview.srt 2.0 kB
  • 1. Course Introduction/4. Course FAQ.html 1.9 kB
  • 11. Python Finance Fundamentals/10. Key Financial Topics.srt 1.5 kB
  • 8. Pandas with Time Series Data/2. Introduction to Time Series with Pandas.srt 1.3 kB
  • 13. Advanced Quantopian and Trading Algorithms/1. Welcome to Trading Algorithms.srt 1.2 kB
  • 2. Course Materials and Set-up/1. Course Installation Help Notes.html 1.2 kB
  • 11. Python Finance Fundamentals/2. Introduction to Python Finance Fundamentals.srt 1.1 kB
  • 11. Python Finance Fundamentals/1. Welcome to Finance Fundamentals.srt 939 Bytes
  • 10. Time Series Analysis/1. Welcome to Time Series Analysis.srt 880 Bytes
  • 9. Capstone Stock Market Analysis Project/1. Welcome to the Capstone Project!.srt 790 Bytes
  • 10. Time Series Analysis/12. Quick Note on Second Milk Difference!.html 718 Bytes
  • 1. Course Introduction/3. Did you skip the last lecture Please go back and view it!.html 696 Bytes
  • 12. Basics of Algorithmic Trading with Quantopian/1. Welcome to the Quantopian Section.srt 624 Bytes
  • 6. Visualization with Matplotlib and Pandas/1. Welcome to Visualization.srt 574 Bytes
  • 5. General Pandas Overview/1. Welcome to Pandas.srt 548 Bytes
  • 14. BONUS SECTION THANK YOU!/1. Bonus Lecture.html 532 Bytes
  • 4. NumPy/1. Welcome to NumPy.srt 527 Bytes
  • 12. Basics of Algorithmic Trading with Quantopian/3. Note on get_fundamentals.html 428 Bytes
  • 3. Python Crash Course/1. Welcome to the Python Crash Course.srt 420 Bytes
  • 10. Time Series Analysis/16. Discussion on choosing PDQ.html 375 Bytes
  • 7. Data Sources/2. Note on Pandas Datareader.html 299 Bytes
  • 8. Pandas with Time Series Data/1. Welcome to Pandas for Time Series.srt 278 Bytes
  • 13. Advanced Quantopian and Trading Algorithms/4. Quick note.html 257 Bytes
  • 11. Python Finance Fundamentals/16.1 Splits and Dividends.html 158 Bytes
  • 2. Course Materials and Set-up/2.1 Google Drive Download Link for Alternative yml environment file (click download since no preview available).html 143 Bytes
  • 10. Time Series Analysis/2.1 Time Series Analysis Slides.html 138 Bytes
  • 11. Python Finance Fundamentals/2.1 Python Finance Fundamentals Slides.html 138 Bytes
  • 12. Basics of Algorithmic Trading with Quantopian/2.1 Quantopian Slides.html 138 Bytes
  • 3. Python Crash Course/2.1 Link to Py Crash Course Slides.html 138 Bytes
  • 4. NumPy/2.1 Numpy Slides.html 138 Bytes
  • 5. General Pandas Overview/2.1 Pandas Slides.html 138 Bytes
  • 6. Visualization with Matplotlib and Pandas/2.1 Visualization Slides.html 138 Bytes
  • 7. Data Sources/1.1 Data Sources Slides.html 138 Bytes
  • 8. Pandas with Time Series Data/2.1 Pandas Time Series Slides.html 138 Bytes
  • 9. Capstone Stock Market Analysis Project/2.1 Capstone Project Slides.html 138 Bytes
  • 11. Python Finance Fundamentals/17.1 EMH.html 126 Bytes
  • 2. Course Materials and Set-up/2.2 More info on Conda Environments.html 119 Bytes
  • 11. Python Finance Fundamentals/13.1 Short Selling.html 113 Bytes
  • 11. Python Finance Fundamentals/3.1 Investopedia Sharpe Ratio.html 112 Bytes
  • 11. Python Finance Fundamentals/11.1 Mutual Fund.html 111 Bytes
  • 11. Python Finance Fundamentals/12.2 Order Books.html 111 Bytes
  • 7. Data Sources/3.1 Optional Reading on Order Book.html 111 Bytes
  • 11. Python Finance Fundamentals/11.2 Hedge Funds.html 110 Bytes
  • 10. Time Series Analysis/6.1 EWMA on Investopedia.html 109 Bytes
  • 12. Basics of Algorithmic Trading with Quantopian/6.1 Explanation of Drawdown.html 109 Bytes
  • 7. Data Sources/3.2 Optional Reading about how to understand Options.html 108 Bytes
  • 10. Time Series Analysis/4.1 Statsmodels Docs.html 105 Bytes
  • 11. Python Finance Fundamentals/14.1 CAPM.html 105 Bytes
  • 11. Python Finance Fundamentals/11.3 ETFs.html 104 Bytes
  • 11. Python Finance Fundamentals/12.1 Talk about HFT by Brad Katsuyama.html 104 Bytes
  • 10. Time Series Analysis/11.1 Rules for getting p,d,q.html 103 Bytes
  • 10. Time Series Analysis/9.1 Really great link describing ARIMA ACF and PACF plots.html 103 Bytes
  • 7. Data Sources/3.3 Docs for Pandas DataReader.html 102 Bytes
  • [FreeCourseWorld.Com].url 54 Bytes
  • [DesireCourse.Net].url 51 Bytes
  • [CourseClub.Me].url 48 Bytes

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