本站已收录 番号和无损神作磁力链接/BT种子 

[FreeCourseLab.com] Udemy - Python for Financial Analysis and Algorithmic Trading

种子简介

种子名称: [FreeCourseLab.com] Udemy - Python for Financial Analysis and Algorithmic Trading
文件类型: 视频
文件数目: 112个文件
文件大小: 2.38 GB
收录时间: 2019-6-4 08:15
已经下载: 3
资源热度: 227
最近下载: 2024-12-25 21:47

下载BT种子文件

下载Torrent文件(.torrent) 立即下载

磁力链接下载

magnet:?xt=urn:btih:54ae07b3e8d88df559ae1ee3ffb9a1438683e324&dn=[FreeCourseLab.com] Udemy - Python for Financial Analysis and Algorithmic Trading 复制链接到迅雷、QQ旋风进行下载,或者使用百度云离线下载。

喜欢这个种子的人也喜欢

种子包含的文件

[FreeCourseLab.com] Udemy - Python for Financial Analysis and Algorithmic Trading.torrent
  • 1. Course Introduction/1. Introduction to Course.mp48.51MB
  • 1. Course Introduction/2. Course Overview Lecture (DON'T SKIP THIS!).mp48.6MB
  • 10. Time Series Analysis/1. Welcome to Time Series Analysis.mp44.21MB
  • 10. Time Series Analysis/10. ACF and PACF.mp411.6MB
  • 10. Time Series Analysis/11. ARIMA with Statsmodels.mp425.77MB
  • 10. Time Series Analysis/13. ARIMA Code Part Two.mp432.28MB
  • 10. Time Series Analysis/14. ARIMA Code Part Three.mp415.07MB
  • 10. Time Series Analysis/15. ARIMA Code Part Four.mp435.1MB
  • 10. Time Series Analysis/2. Introduction to Time Series.mp45.31MB
  • 10. Time Series Analysis/3. Time Series Basics.mp46.86MB
  • 10. Time Series Analysis/4. Introduction to Statsmodels.mp439.55MB
  • 10. Time Series Analysis/5. ETS Theory.mp47.69MB
  • 10. Time Series Analysis/6. EWMA Theory.mp45.24MB
  • 10. Time Series Analysis/7. EWMA Code Along.mp435.44MB
  • 10. Time Series Analysis/8. ETS Code Along.mp414.83MB
  • 10. Time Series Analysis/9. ARIMA Theory.mp417.29MB
  • 11. Python Finance Fundamentals/1. Welcome to Finance Fundamentals.mp44.38MB
  • 11. Python Finance Fundamentals/10. Key Financial Topics.mp42MB
  • 11. Python Finance Fundamentals/11. Types of Funds.mp411.37MB
  • 11. Python Finance Fundamentals/12. Order Books.mp425.73MB
  • 11. Python Finance Fundamentals/13. Short Selling.mp44.8MB
  • 11. Python Finance Fundamentals/14. CAPM - Capital Asset Pricing Model.mp49.83MB
  • 11. Python Finance Fundamentals/15. CAPM Code Along.mp427.6MB
  • 11. Python Finance Fundamentals/16. Stock Splits and Dividends.mp46.25MB
  • 11. Python Finance Fundamentals/17. EMH.mp43.87MB
  • 11. Python Finance Fundamentals/2. Introduction to Python Finance Fundamentals.mp41.66MB
  • 11. Python Finance Fundamentals/3. Sharpe Ratio Slides.mp413.46MB
  • 11. Python Finance Fundamentals/4. Portfolio Allocation Code Along Part One.mp439.66MB
  • 11. Python Finance Fundamentals/5. Portfolio Allocation Code Along Part Two.mp414.01MB
  • 11. Python Finance Fundamentals/6. Portfolio Optimization.mp49.53MB
  • 11. Python Finance Fundamentals/7. Portfolio Optimization Code Along One.mp431.45MB
  • 11. Python Finance Fundamentals/8. Portfolio Optimization Code Along Two.mp417.33MB
  • 11. Python Finance Fundamentals/9. Portfolio Optimization Code Along Three.mp446.24MB
  • 12. Basics of Algorithmic Trading with Quantopian/1. Welcome to the Quantopian Section.mp43.03MB
  • 12. Basics of Algorithmic Trading with Quantopian/10. Trading Algorithm Exercise Solutions Part One.mp426.42MB
  • 12. Basics of Algorithmic Trading with Quantopian/11. Trading Algorithm Exercise Solutions Part Two.mp44.9MB
  • 12. Basics of Algorithmic Trading with Quantopian/12. Quantopian Pipelines Factors.mp437.76MB
  • 12. Basics of Algorithmic Trading with Quantopian/13. Quantopian Pipelines Filters.mp415.78MB
  • 12. Basics of Algorithmic Trading with Quantopian/14. Quantopian Pipeline - Masking and Classifiers.mp425.42MB
  • 12. Basics of Algorithmic Trading with Quantopian/2. Introduction to Quantopian.mp430.96MB
  • 12. Basics of Algorithmic Trading with Quantopian/4. Quantopian Research Basics.mp438.62MB
  • 12. Basics of Algorithmic Trading with Quantopian/5. Quantopian Algorithms Basics Part One.mp433.29MB
  • 12. Basics of Algorithmic Trading with Quantopian/6. Quantopian Algorithms Basics Part Two.mp433.94MB
  • 12. Basics of Algorithmic Trading with Quantopian/7. First Trading Algorithm - Part One.mp436.5MB
  • 12. Basics of Algorithmic Trading with Quantopian/8. First Trading Algorithm - Part Two.mp436.48MB
  • 12. Basics of Algorithmic Trading with Quantopian/9. Trading Algorithm Exercise.mp48.92MB
  • 13. Advanced Quantopian and Trading Algorithms/1. Welcome to Trading Algorithms.mp41.54MB
  • 13. Advanced Quantopian and Trading Algorithms/10. Stock Sentiment Analysis Project.mp435.25MB
  • 13. Advanced Quantopian and Trading Algorithms/11. What are Futures.mp416.62MB
  • 13. Advanced Quantopian and Trading Algorithms/12. Futures on Quantopian.mp447.71MB
  • 13. Advanced Quantopian and Trading Algorithms/13. Futures on Quantopian Part Two.mp460.27MB
  • 13. Advanced Quantopian and Trading Algorithms/2. Pipeline Trading Algorithm Example - Code Along - Part One.mp427.19MB
  • 13. Advanced Quantopian and Trading Algorithms/3. Pipeline Trading Algorithm - Code Along - Part Two.mp425.77MB
  • 13. Advanced Quantopian and Trading Algorithms/5. Pipeline Trading Algorithm Code along Part Three.mp450.57MB
  • 13. Advanced Quantopian and Trading Algorithms/6. Leverage.mp428.92MB
  • 13. Advanced Quantopian and Trading Algorithms/7. Hedging.mp431.29MB
  • 13. Advanced Quantopian and Trading Algorithms/8. Hedging- Part Two.mp435.72MB
  • 13. Advanced Quantopian and Trading Algorithms/9. Portfolio Analysis with PyFolio.mp436.83MB
  • 2. Course Materials and Set-up/2. Course Installation Guide.mp420.66MB
  • 3. Python Crash Course/1. Welcome to the Python Crash Course.mp42.31MB
  • 3. Python Crash Course/2. Introduction to Crash Course.mp42.43MB
  • 3. Python Crash Course/3. Python Crash Course Part One.mp438.01MB
  • 3. Python Crash Course/4. Python Crash Course Part Two.mp424.25MB
  • 3. Python Crash Course/5. Python Crash Course Part Three.mp428.58MB
  • 3. Python Crash Course/6. Python Crash Course Exercises.mp412.54MB
  • 3. Python Crash Course/7. Python Crash Course Exercise Solutions.mp422.16MB
  • 4. NumPy/1. Welcome to NumPy.mp42.84MB
  • 4. NumPy/2. Introduction to NumPy.mp43.13MB
  • 4. NumPy/3. NumPy Arrays.mp431.92MB
  • 4. NumPy/4. Numpy Operations.mp49.55MB
  • 4. NumPy/5. Numpy Indexing.mp420.3MB
  • 4. NumPy/6. NumPy Review Exercise.mp414.68MB
  • 4. NumPy/7. Numpy Exercise Solutions.mp427.07MB
  • 5. General Pandas Overview/1. Welcome to Pandas.mp42.72MB
  • 5. General Pandas Overview/10. Pandas Common Operations.mp426.16MB
  • 5. General Pandas Overview/11. Data Input and Output.mp435.96MB
  • 5. General Pandas Overview/12. General Pandas Review Exercises.mp48.72MB
  • 5. General Pandas Overview/13. General Pandas Exercise Solutions.mp433.95MB
  • 5. General Pandas Overview/2. Introduction to Pandas.mp45.05MB
  • 5. General Pandas Overview/3. Series.mp415.34MB
  • 5. General Pandas Overview/4. DataFrames.mp443.87MB
  • 5. General Pandas Overview/5. DataFrames Part Two.mp445.96MB
  • 5. General Pandas Overview/6. DataFrames Part Three.mp420.45MB
  • 5. General Pandas Overview/7. Missing Data.mp413.06MB
  • 5. General Pandas Overview/8. Group By with Pandas.mp416.05MB
  • 5. General Pandas Overview/9. Merging, Joining, and Concatenating DataFrames.mp428.86MB
  • 6. Visualization with Matplotlib and Pandas/1. Welcome to Visualization.mp42.91MB
  • 6. Visualization with Matplotlib and Pandas/10. Pandas Visualization Exercise Overview.mp45.61MB
  • 6. Visualization with Matplotlib and Pandas/11. Pandas Visualization Exercise Solutions.mp432.36MB
  • 6. Visualization with Matplotlib and Pandas/2. Introduction to Visualization in Python.mp43.48MB
  • 6. Visualization with Matplotlib and Pandas/3. Matplotlib Basics - Part One.mp441.63MB
  • 6. Visualization with Matplotlib and Pandas/4. Matplotlib Basics - Part Two.mp433.96MB
  • 6. Visualization with Matplotlib and Pandas/5. Matplotlib Part Three.mp432.23MB
  • 6. Visualization with Matplotlib and Pandas/6. Matplotlib Exercise.mp410.35MB
  • 6. Visualization with Matplotlib and Pandas/7. Matplotlib Exercise Solutions.mp430.95MB
  • 6. Visualization with Matplotlib and Pandas/8. Pandas Visualization Overview.mp431.54MB
  • 6. Visualization with Matplotlib and Pandas/9. Pandas Time Series Visualization.mp439.73MB
  • 7. Data Sources/1. Introduction to Data Sources.mp42.53MB
  • 7. Data Sources/3. Pandas DataReader.mp49.8MB
  • 7. Data Sources/4. Quandl.mp427.08MB
  • 8. Pandas with Time Series Data/1. Welcome to Pandas for Time Series.mp41.62MB
  • 8. Pandas with Time Series Data/2. Introduction to Time Series with Pandas.mp41.84MB
  • 8. Pandas with Time Series Data/3. Datetime Index.mp418.35MB
  • 8. Pandas with Time Series Data/4. Time Resampling.mp434.75MB
  • 8. Pandas with Time Series Data/5. Time Shifts.mp417.08MB
  • 8. Pandas with Time Series Data/6. Pandas Rolling and Expanding.mp438.73MB
  • 9. Capstone Stock Market Analysis Project/1. Welcome to the Capstone Project!.mp43.89MB
  • 9. Capstone Stock Market Analysis Project/2. Stock Market Analysis Project.mp426.85MB
  • 9. Capstone Stock Market Analysis Project/3. Stock Market Analysis Project Solutions Part One.mp463.36MB
  • 9. Capstone Stock Market Analysis Project/4. Python Stock Market Analysis Solutions - Part Two.mp427.48MB
  • 9. Capstone Stock Market Analysis Project/5. Stock Market Analysis Project Solutions Part Three.mp453.42MB
  • 9. Capstone Stock Market Analysis Project/6. Stock Market Analysis Project Solutions Part Four.mp419.65MB