Udemy - Python for Financial Analysis and Algorithmic Trading

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Udemy - Python for Financial Analysis and Algorithmic Trading (Size: 2.4 GB)
  1. Bonus Lecture.html 512 B
  1. Course Installation Help Notes.html 1.1 KB
  1. Introduction to Course.mp4 8.5 MB
  1. Introduction to Course.srt 3.1 KB
  1. Introduction to Data Sources.mp4 2.5 MB
  1. Introduction to Data Sources.srt 2.1 KB
  1. Welcome to Finance Fundamentals.mp4 4.4 MB
  1. Welcome to Finance Fundamentals.srt 921.6 B
  1. Welcome to NumPy.mp4 2.8 MB
  1. Welcome to NumPy.srt 512 B
  1. Welcome to Pandas for Time Series.mp4 1.6 MB
  1. Welcome to Pandas for Time Series.srt 307.2 B
  1. Welcome to Pandas.mp4 2.7 MB
  1. Welcome to Pandas.srt 512 B
  1. Welcome to Time Series Analysis.mp4 4.2 MB
  1. Welcome to Time Series Analysis.srt 921.6 B
  1. Welcome to Trading Algorithms.mp4 1.5 MB
  1. Welcome to Trading Algorithms.srt 1.2 KB
  1. Welcome to Visualization.mp4 2.9 MB
  1. Welcome to Visualization.srt 614.4 B
  1. Welcome to the Capstone Project!.mp4 3.9 MB
  1. Welcome to the Capstone Project!.srt 819.2 B
  1. Welcome to the Python Crash Course.mp4 2.3 MB
  1. Welcome to the Python Crash Course.srt 409.6 B
  1. Welcome to the Quantopian Section.mp4 3 MB
  1. Welcome to the Quantopian Section.srt 614.4 B
  1.1 Data Sources Slides.html 102.4 B
  10. ACF and PACF.mp4 11.6 MB
  10. ACF and PACF.srt 8.8 KB
  10. Key Financial Topics.mp4 2 MB
  10. Key Financial Topics.srt 1.5 KB
  10. Pandas Common Operations.mp4 26.1 MB
  10. Pandas Common Operations.srt 16.9 KB
  10. Pandas Visualization Exercise Overview.mp4 5.6 MB
  10. Pandas Visualization Exercise Overview.srt 5.6 MB
  10. Stock Sentiment Analysis Project.mp4 35.3 MB
  10. Stock Sentiment Analysis Project.srt 23.9 KB
  10. Trading Algorithm Exercise Solutions Part One.mp4 26.4 MB
  10. Trading Algorithm Exercise Solutions Part One.srt 18.8 KB
  11. ARIMA with Statsmodels.mp4 25.8 MB
  11. ARIMA with Statsmodels.srt 17.2 KB
  11. Data Input and Output.mp4 35.9 MB
  11. Data Input and Output.srt 20 KB
  11. Pandas Visualization Exercise Solutions.mp4 32.3 MB
  11. Pandas Visualization Exercise Solutions.srt 12.6 KB
  11. Trading Algorithm Exercise Solutions Part Two.mp4 4.9 MB
  11. Trading Algorithm Exercise Solutions Part Two.srt 4.1 KB
  11. Types of Funds.mp4 11.4 MB
  11. Types of Funds.srt 9 KB
  11. What are Futures.mp4 16.6 MB
  11. What are Futures.srt 12.8 KB
  11.1 Hedge Funds.html 102.4 B
  11.1 Rules for getting p,d,q.html 102.4 B
  11.2 Mutual Fund.html 102.4 B
  11.3 ETFs.html 102.4 B
  12. Futures on Quantopian.mp4 47.7 MB
  12. Futures on Quantopian.srt 27.2 KB
  12. General Pandas Review Exercises.mp4 8.7 MB
  12. General Pandas Review Exercises.srt 5.4 KB
  12. Order Books.mp4 25.7 MB
  12. Order Books.srt 22.5 KB
  12. Quantopian Pipelines Factors.mp4 37.8 MB
  12. Quantopian Pipelines Factors.srt 24.9 KB
  12. Quick Note on Second Milk Difference!.html 716.8 B
  12.1 Talk about HFT by Brad Katsuyama.html 102.4 B
  12.2 Order Books.html 102.4 B
  13. ARIMA Code Part Two.mp4 32.3 MB
  13. ARIMA Code Part Two.srt 19 KB
  13. Futures on Quantopian Part Two.mp4 60.3 MB
  13. Futures on Quantopian Part Two.srt 30.9 KB
  13. General Pandas Exercise Solutions.mp4 33.9 MB
  13. General Pandas Exercise Solutions.srt 18.7 KB
  13. Quantopian Pipelines Filters.mp4 15.8 MB
  13. Quantopian Pipelines Filters.srt 9 KB
  13. Short Selling.mp4 4.8 MB
  13. Short Selling.srt 3.6 KB
  13.1 Short Selling.html 102.4 B
  14. ARIMA Code Part Three.mp4 15.1 MB
  14. ARIMA Code Part Three.srt 9.8 KB
  14. CAPM - Capital Asset Pricing Model.mp4 9.8 MB
  14. CAPM - Capital Asset Pricing Model.srt 7.3 KB
  14. Quantopian Pipeline - Masking and Classifiers.mp4 25.4 MB
  14. Quantopian Pipeline - Masking and Classifiers.srt 13.6 KB
  14.1 CAPM.html 102.4 B
  15. ARIMA Code Part Four.mp4 35.1 MB
  15. ARIMA Code Part Four.srt 20 KB
  15. CAPM Code Along.mp4 27.6 MB
  15. CAPM Code Along.srt 15.3 KB
  15.1 SPY.csv 140.4 KB
  16. Discussion on choosing PDQ.html 409.6 B
  16. Stock Splits and Dividends.mp4 6.3 MB
  16. Stock Splits and Dividends.srt 4.9 KB
  16.1 Splits and Dividends.html 204.8 B
  17. EMH.mp4 3.9 MB
  17. EMH.srt 2.9 KB
  17.1 EMH.html 102.4 B
  2. Course Installation Guide.mp4 20.7 MB
  2. Course Installation Guide.srt 13.9 KB
  2. Course Overview Lecture (DON'T SKIP THIS!).mp4 8.6 MB
  2. Course Overview Lecture (DON'T SKIP THIS!).srt 5.8 KB
  2. Introduction to Crash Course.mp4 2.4 MB
  2. Introduction to Crash Course.srt 2.1 KB
  2. Introduction to NumPy.mp4 3.1 MB
  2. Introduction to NumPy.srt 2.5 KB
  2. Introduction to Pandas.mp4 5 MB
  2. Introduction to Pandas.srt 4.1 KB
  2. Introduction to Python Finance Fundamentals.mp4 1.7 MB
  2. Introduction to Python Finance Fundamentals.srt 1.1 KB
  2. Introduction to Quantopian.mp4 31 MB
  2. Introduction to Quantopian.srt 16.4 KB
  2. Introduction to Time Series with Pandas.mp4 1.8 MB
  2. Introduction to Time Series with Pandas.srt 1.2 KB
  2. Introduction to Time Series.mp4 5.3 MB
  2. Introduction to Time Series.srt 4.7 KB
  2. Introduction to Visualization in Python.mp4 3.5 MB
  2. Introduction to Visualization in Python.srt 2.8 KB
  2. Note on Pandas Datareader.html 307.2 B
  2. Pipeline Trading Algorithm Example - Code Along - Part One.mp4 27.2 MB
  2. Pipeline Trading Algorithm Example - Code Along - Part One.srt 20.9 KB
  2. Stock Market Analysis Project.mp4 26.8 MB
  2. Stock Market Analysis Project.srt 11.5 KB
  2.1 Capstone Project Slides.html 102.4 B
  2.1 Link to Py Crash Course Slides.html 102.4 B
  2.1 Numpy Slides.html 102.4 B
  2.1 Pandas Slides.html 102.4 B
  2.1 Pandas Time Series Slides.html 102.4 B
  2.1 Python Finance Fundamentals Slides.html 102.4 B
  2.1 Python-for-Finance-Repo-master.zip 12.5 MB
  2.1 Quantopian Slides.html 102.4 B
  2.1 Time Series Analysis Slides.html 102.4 B
  2.1 Visualization Slides.html 102.4 B
  2.2 Google Drive Download Link for Alternative yml environment file (click download since no preview available).html 102.4 B
  2.3 More info on Conda Environments.html 102.4 B
  3. Datetime Index.mp4 18.3 MB
  3. Datetime Index.srt 14.4 KB
  3. Did you skip the last lecture Please go back and view it!.html 716.8 B
  3. Matplotlib Basics - Part One.mp4 41.6 MB
  3. Matplotlib Basics - Part One.srt 26.1 KB
  3. Note on get_fundamentals.html 409.6 B
  3. NumPy Arrays.mp4 31.9 MB
  3. NumPy Arrays.srt 24.9 KB
  3. Pandas DataReader.mp4 9.8 MB
  3. Pandas DataReader.srt 6.8 KB
  3. Pipeline Trading Algorithm - Code Along - Part Two.mp4 25.8 MB
  3. Pipeline Trading Algorithm - Code Along - Part Two.srt 14.6 KB
  3. Python Crash Course Part One.mp4 38 MB
  3. Python Crash Course Part One.srt 27.6 KB
  3. Series.mp4 15.3 MB
  3. Series.srt 9.9 KB
  3. Sharpe Ratio Slides.mp4 13.5 MB
  3. Sharpe Ratio Slides.srt 10.7 KB
  3. Stock Market Analysis Project Solutions Part One.mp4 63.4 MB
  3. Stock Market Analysis Project Solutions Part One.srt 28.3 KB
  3. Time Series Basics.mp4 6.9 MB
  3. Time Series Basics.srt 6.7 KB
  3.1 Investopedia Sharpe Ratio.html 102.4 B
  3.1 Optional Reading on Order Book.html 102.4 B
  3.2 Optional Reading about how to understand Options.html 102.4 B
  3.3 Docs for Pandas DataReader.html 102.4 B
  4. Course FAQ.html 1.8 KB
  4. DataFrames.mp4 43.9 MB
  4. DataFrames.srt 20.5 KB
  4. Introduction to Statsmodels.mp4 39.5 MB
  4. Introduction to Statsmodels.srt 19.4 KB
  4. Matplotlib Basics - Part Two.mp4 33.9 MB
  4. Matplotlib Basics - Part Two.srt 19.9 KB
  4. Numpy Operations.mp4 9.5 MB
  4. Numpy Operations.srt 7.5 KB
  4. Portfolio Allocation Code Along Part One.mp4 39.7 MB
  4. Portfolio Allocation Code Along Part One.srt 21.3 KB
  4. Python Crash Course Part Two.mp4 24.2 MB
  4. Python Crash Course Part Two.srt 20.5 KB
  4. Python Stock Market Analysis Solutions - Part Two.mp4 27.5 MB
  4. Python Stock Market Analysis Solutions - Part Two.srt 13.1 KB
  4. Quandl.mp4 27.1 MB
  4. Quandl.srt 15.4 KB
  4. Quantopian Research Basics.mp4 38.6 MB
  4. Quantopian Research Basics.srt 25.8 KB
  4. Quick note.html 307.2 B
  4. Time Resampling.mp4 34.7 MB
  4. Time Resampling.srt 19.3 KB
  4.1 Python-for-Finance-Repo-master.zip 12.6 MB
  4.1 Statsmodels Docs.html 102.4 B
  5. DataFrames Part Two.mp4 46 MB
  5. DataFrames Part Two.srt 23.3 KB
  5. ETS Theory.mp4 7.7 MB
  5. ETS Theory.srt 6.4 KB
  5. Matplotlib Part Three.mp4 32.2 MB
  5. Matplotlib Part Three.srt 16.5 KB
  5. Numpy Indexing.mp4 20.3 MB
  5. Numpy Indexing.srt 16.3 KB
  5. Pipeline Trading Algorithm Code along Part Three.mp4 50.6 MB
  5. Pipeline Trading Algorithm Code along Part Three.srt 27.1 KB
  5. Portfolio Allocation Code Along Part Two.mp4 14 MB
  5. Portfolio Allocation Code Along Part Two.srt 10.1 KB
  5. Python Crash Course Part Three.mp4 28.6 MB
  5. Python Crash Course Part Three.srt 22.4 KB
  5. Quantopian Algorithms Basics Part One.mp4 33.3 MB
  5. Quantopian Algorithms Basics Part One.srt 25.1 KB
  5. Stock Market Analysis Project Solutions Part Three.mp4 53.4 MB
  5. Stock Market Analysis Project Solutions Part Three.srt 24.5 KB
  5. Time Shifts.mp4 17.1 MB
  5. Time Shifts.srt 9.2 KB
  6. DataFrames Part Three.mp4 20.5 MB
  6. DataFrames Part Three.srt 11.7 KB
  6. EWMA Theory.mp4 5.2 MB
  6. EWMA Theory.srt 4.3 KB
  6. Leverage.mp4 28.9 MB
  6. Leverage.srt 20.4 KB
  6. Matplotlib Exercise.mp4 10.3 MB
  6. Matplotlib Exercise.srt 6.1 KB
  6. NumPy Review Exercise.mp4 14.7 MB
  6. NumPy Review Exercise.srt 7 KB
  6. Pandas Rolling and Expanding.mp4 38.7 MB
  6. Pandas Rolling and Expanding.srt 26.9 KB
  6. Portfolio Optimization.mp4 9.5 MB
  6. Portfolio Optimization.srt 7.5 KB
  6. Python Crash Course Exercises.mp4 12.5 MB
  6. Python Crash Course Exercises.srt 6.7 KB
  6. Quantopian Algorithms Basics Part Two.mp4 33.9 MB
  6. Quantopian Algorithms Basics Part Two.srt 26.4 KB
  6. Stock Market Analysis Project Solutions Part Four.mp4 19.6 MB
  6. Stock Market Analysis Project Solutions Part Four.srt 12.1 KB
  6.1 EWMA on Investopedia.html 102.4 B
  6.1 Explanation of Drawdown.html 102.4 B
  7. EWMA Code Along.mp4 35.4 MB
  7. EWMA Code Along.srt 21.6 KB
  7. First Trading Algorithm - Part One.mp4 36.5 MB
  7. First Trading Algorithm - Part One.srt 23.5 KB
  7. Hedging.mp4 31.3 MB
  7. Hedging.srt 20.9 KB
  7. Matplotlib Exercise Solutions.mp4 31 MB
  7. Matplotlib Exercise Solutions.srt 12 KB
  7. Missing Data.mp4 13.1 MB
  7. Missing Data.srt 8.3 KB
  7. Numpy Exercise Solutions.mp4 27.1 MB
  7. Numpy Exercise Solutions.srt 14.3 KB
  7. Portfolio Optimization Code Along One.mp4 31.4 MB
  7. Portfolio Optimization Code Along One.srt 21.4 KB
  7. Python Crash Course Exercise Solutions.mp4 22.2 MB
  7. Python Crash Course Exercise Solutions.srt 13.2 KB
  8. ETS Code Along.mp4 14.8 MB
  8. ETS Code Along.srt 9.5 KB
  8. First Trading Algorithm - Part Two.mp4 36.5 MB
  8. First Trading Algorithm - Part Two.srt 23.8 KB
  8. Group By with Pandas.mp4 16.1 MB
  8. Group By with Pandas.srt 9.2 KB
  8. Hedging- Part Two.mp4 35.7 MB
  8. Hedging- Part Two.srt 20.1 KB
  8. Pandas Visualization Overview.mp4 31.5 MB
  8. Pandas Visualization Overview.srt 17.2 KB
  8. Portfolio Optimization Code Along Two.mp4 17.3 MB
  8. Portfolio Optimization Code Along Two.srt 10.9 KB
  9. ARIMA Theory.mp4 17.3 MB
  9. ARIMA Theory.srt 14.7 KB
  9. Merging, Joining, and Concatenating DataFrames.mp4 28.8 MB
  9. Merging, Joining, and Concatenating DataFrames.srt 13.7 KB
  9. Pandas Time Series Visualization.mp4 39.7 MB
  9. Pandas Time Series Visualization.srt 26.2 KB
  9. Portfolio Analysis with PyFolio.mp4 36.8 MB
  9. Portfolio Analysis with PyFolio.srt 24.6 KB
  9. Portfolio Optimization Code Along Three.mp4 46.2 MB
  9. Portfolio Optimization Code Along Three.srt 24.1 KB
  9. Trading Algorithm Exercise.mp4 8.9 MB
  9. Trading Algorithm Exercise.srt 7.6 KB
  9.1 Really great link describing ARIMA ACF and PACF plots.html 102.4 B
  [FreeCourseWorld.Com].url 102.4 B
  ▲ 267 total files

Description


Python for Financial Analysis and Algorithmic Trading

Welcome to Python for Financial Analysis and Algorithmic Trading! Are you interested in how people use Python to conduct rigorous financial analysis and pursue algorithmic trading, then this is the right course for you!

This course will guide you through everything you need to know to use Python for Finance and Algorithmic Trading! We'll start off by learning the fundamentals of Python, and then proceed to learn about the various core libraries used in the Py-Finance Ecosystem, including jupyter, numpy, pandas, matplotlib, statsmodels, zipline, Quantopian, and much more!

Created by Jose Portilla
Last updated 2/2020
English
English [Auto-generated]

For More Courses Visit: https://freecourseworld.com

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