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

Creation Time	Dec. 22, 2024, 7:38 p.m.
Last Access Time	Dec. 14, 2025, 7:43 a.m.
File Size	2.4 GB
Keywords	and Financial for Python - Analysis Udemy Trading GigaCourse Algorithmic com
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Total Files	268
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9. Capstone Stock Market Analysis Project/3. Stock Market Analysis Project Solutions Part One.mp4 63.4 MB
13. Advanced Quantopian and Trading Algorithms/13. Futures on Quantopian Part Two.mp4 60.3 MB
9. Capstone Stock Market Analysis Project/5. Stock Market Analysis Project Solutions Part Three.mp4 53.4 MB
13. Advanced Quantopian and Trading Algorithms/5. Pipeline Trading Algorithm Code along Part Three.mp4 50.6 MB
13. Advanced Quantopian and Trading Algorithms/12. Futures on Quantopian.mp4 47.7 MB
11. Python Finance Fundamentals/9. Portfolio Optimization Code Along Three.mp4 46.2 MB
5. General Pandas Overview/5. DataFrames Part Two.mp4 46.0 MB
5. General Pandas Overview/4. DataFrames.mp4 43.9 MB
6. Visualization with Matplotlib and Pandas/3. Matplotlib Basics - Part One.mp4 41.6 MB
6. Visualization with Matplotlib and Pandas/9. Pandas Time Series Visualization.mp4 39.7 MB
11. Python Finance Fundamentals/4. Portfolio Allocation Code Along Part One.mp4 39.7 MB
10. Time Series Analysis/4. Introduction to Statsmodels.mp4 39.5 MB
8. Pandas with Time Series Data/6. Pandas Rolling and Expanding.mp4 38.7 MB
12. Basics of Algorithmic Trading with Quantopian/4. Quantopian Research Basics.mp4 38.6 MB
3. Python Crash Course/3. Python Crash Course Part One.mp4 38.0 MB
12. Basics of Algorithmic Trading with Quantopian/12. Quantopian Pipelines Factors.mp4 37.8 MB
13. Advanced Quantopian and Trading Algorithms/9. Portfolio Analysis with PyFolio.mp4 36.8 MB
12. Basics of Algorithmic Trading with Quantopian/7. First Trading Algorithm - Part One.mp4 36.5 MB
12. Basics of Algorithmic Trading with Quantopian/8. First Trading Algorithm - Part Two.mp4 36.5 MB
5. General Pandas Overview/11. Data Input and Output.mp4 35.9 MB
13. Advanced Quantopian and Trading Algorithms/8. Hedging- Part Two.mp4 35.7 MB
10. Time Series Analysis/7. EWMA Code Along.mp4 35.4 MB
13. Advanced Quantopian and Trading Algorithms/10. Stock Sentiment Analysis Project.mp4 35.3 MB
10. Time Series Analysis/15. ARIMA Code Part Four.mp4 35.1 MB
8. Pandas with Time Series Data/4. Time Resampling.mp4 34.7 MB
5. General Pandas Overview/13. General Pandas Exercise Solutions.mp4 33.9 MB
6. Visualization with Matplotlib and Pandas/4. Matplotlib Basics - Part Two.mp4 33.9 MB
12. Basics of Algorithmic Trading with Quantopian/6. Quantopian Algorithms Basics Part Two.mp4 33.9 MB
12. Basics of Algorithmic Trading with Quantopian/5. Quantopian Algorithms Basics Part One.mp4 33.3 MB
6. Visualization with Matplotlib and Pandas/11. Pandas Visualization Exercise Solutions.mp4 32.3 MB
10. Time Series Analysis/13. ARIMA Code Part Two.mp4 32.3 MB
6. Visualization with Matplotlib and Pandas/5. Matplotlib Part Three.mp4 32.2 MB
4. NumPy/3. NumPy Arrays.mp4 31.9 MB
6. Visualization with Matplotlib and Pandas/8. Pandas Visualization Overview.mp4 31.5 MB
11. Python Finance Fundamentals/7. Portfolio Optimization Code Along One.mp4 31.4 MB
13. Advanced Quantopian and Trading Algorithms/7. Hedging.mp4 31.3 MB
12. Basics of Algorithmic Trading with Quantopian/2. Introduction to Quantopian.mp4 31.0 MB
6. Visualization with Matplotlib and Pandas/7. Matplotlib Exercise Solutions.mp4 31.0 MB
13. Advanced Quantopian and Trading Algorithms/6. Leverage.mp4 28.9 MB
5. General Pandas Overview/9. Merging, Joining, and Concatenating DataFrames.mp4 28.8 MB
3. Python Crash Course/5. Python Crash Course Part Three.mp4 28.6 MB
11. Python Finance Fundamentals/15. CAPM Code Along.mp4 27.6 MB
9. Capstone Stock Market Analysis Project/4. Python Stock Market Analysis Solutions - Part Two.mp4 27.5 MB
13. Advanced Quantopian and Trading Algorithms/2. Pipeline Trading Algorithm Example - Code Along - Part One.mp4 27.2 MB
7. Data Sources/4. Quandl.mp4 27.1 MB
4. NumPy/7. Numpy Exercise Solutions.mp4 27.1 MB
9. Capstone Stock Market Analysis Project/2. Stock Market Analysis Project.mp4 26.8 MB
12. Basics of Algorithmic Trading with Quantopian/10. Trading Algorithm Exercise Solutions Part One.mp4 26.4 MB
5. General Pandas Overview/10. Pandas Common Operations.mp4 26.1 MB
13. Advanced Quantopian and Trading Algorithms/3. Pipeline Trading Algorithm - Code Along - Part Two.mp4 25.8 MB
10. Time Series Analysis/11. ARIMA with Statsmodels.mp4 25.8 MB
11. Python Finance Fundamentals/12. Order Books.mp4 25.7 MB
12. Basics of Algorithmic Trading with Quantopian/14. Quantopian Pipeline - Masking and Classifiers.mp4 25.4 MB
3. Python Crash Course/4. Python Crash Course Part Two.mp4 24.2 MB
3. Python Crash Course/7. Python Crash Course Exercise Solutions.mp4 22.2 MB
2. Course Materials and Set-up/2. Course Installation Guide.mp4 20.7 MB
5. General Pandas Overview/6. DataFrames Part Three.mp4 20.5 MB
4. NumPy/5. Numpy Indexing.mp4 20.3 MB
9. Capstone Stock Market Analysis Project/6. Stock Market Analysis Project Solutions Part Four.mp4 19.6 MB
8. Pandas with Time Series Data/3. Datetime Index.mp4 18.3 MB
11. Python Finance Fundamentals/8. Portfolio Optimization Code Along Two.mp4 17.3 MB
10. Time Series Analysis/9. ARIMA Theory.mp4 17.3 MB
8. Pandas with Time Series Data/5. Time Shifts.mp4 17.1 MB
13. Advanced Quantopian and Trading Algorithms/11. What are Futures.mp4 16.6 MB
5. General Pandas Overview/8. Group By with Pandas.mp4 16.1 MB
12. Basics of Algorithmic Trading with Quantopian/13. Quantopian Pipelines Filters.mp4 15.8 MB
5. General Pandas Overview/3. Series.mp4 15.3 MB
10. Time Series Analysis/14. ARIMA Code Part Three.mp4 15.1 MB
10. Time Series Analysis/8. ETS Code Along.mp4 14.8 MB
4. NumPy/6. NumPy Review Exercise.mp4 14.7 MB
11. Python Finance Fundamentals/5. Portfolio Allocation Code Along Part Two.mp4 14.0 MB
11. Python Finance Fundamentals/3. Sharpe Ratio Slides.mp4 13.5 MB
5. General Pandas Overview/7. Missing Data.mp4 13.1 MB
1. Course Introduction/4.1 Python-for-Finance-Repo-master.zip 12.6 MB
2. Course Materials and Set-up/2.1 Python-for-Finance-Repo-master.zip 12.5 MB
3. Python Crash Course/6. Python Crash Course Exercises.mp4 12.5 MB
10. Time Series Analysis/10. ACF and PACF.mp4 11.6 MB
11. Python Finance Fundamentals/11. Types of Funds.mp4 11.4 MB
6. Visualization with Matplotlib and Pandas/6. Matplotlib Exercise.mp4 10.3 MB
11. Python Finance Fundamentals/14. CAPM - Capital Asset Pricing Model.mp4 9.8 MB
7. Data Sources/3. Pandas DataReader.mp4 9.8 MB
4. NumPy/4. Numpy Operations.mp4 9.5 MB
11. Python Finance Fundamentals/6. Portfolio Optimization.mp4 9.5 MB
12. Basics of Algorithmic Trading with Quantopian/9. Trading Algorithm Exercise.mp4 8.9 MB
5. General Pandas Overview/12. General Pandas Review Exercises.mp4 8.7 MB
1. Course Introduction/2. Course Overview Lecture (DON'T SKIP THIS!).mp4 8.6 MB
1. Course Introduction/1. Introduction to Course.mp4 8.5 MB
10. Time Series Analysis/5. ETS Theory.mp4 7.7 MB
10. Time Series Analysis/3. Time Series Basics.mp4 6.9 MB
11. Python Finance Fundamentals/16. Stock Splits and Dividends.mp4 6.3 MB
6. Visualization with Matplotlib and Pandas/10. Pandas Visualization Exercise Overview.srt 5.6 MB
6. Visualization with Matplotlib and Pandas/10. Pandas Visualization Exercise Overview.mp4 5.6 MB
10. Time Series Analysis/2. Introduction to Time Series.mp4 5.3 MB
10. Time Series Analysis/6. EWMA Theory.mp4 5.2 MB
5. General Pandas Overview/2. Introduction to Pandas.mp4 5.0 MB
12. Basics of Algorithmic Trading with Quantopian/11. Trading Algorithm Exercise Solutions Part Two.mp4 4.9 MB
11. Python Finance Fundamentals/13. Short Selling.mp4 4.8 MB
11. Python Finance Fundamentals/1. Welcome to Finance Fundamentals.mp4 4.4 MB
10. Time Series Analysis/1. Welcome to Time Series Analysis.mp4 4.2 MB
9. Capstone Stock Market Analysis Project/1. Welcome to the Capstone Project!.mp4 3.9 MB
11. Python Finance Fundamentals/17. EMH.mp4 3.9 MB
6. Visualization with Matplotlib and Pandas/2. Introduction to Visualization in Python.mp4 3.5 MB
4. NumPy/2. Introduction to NumPy.mp4 3.1 MB
12. Basics of Algorithmic Trading with Quantopian/1. Welcome to the Quantopian Section.mp4 3.0 MB
6. Visualization with Matplotlib and Pandas/1. Welcome to Visualization.mp4 2.9 MB
4. NumPy/1. Welcome to NumPy.mp4 2.8 MB
5. General Pandas Overview/1. Welcome to Pandas.mp4 2.7 MB
7. Data Sources/1. Introduction to Data Sources.mp4 2.5 MB
3. Python Crash Course/2. Introduction to Crash Course.mp4 2.4 MB
3. Python Crash Course/1. Welcome to the Python Crash Course.mp4 2.3 MB
11. Python Finance Fundamentals/10. Key Financial Topics.mp4 2.0 MB
8. Pandas with Time Series Data/2. Introduction to Time Series with Pandas.mp4 1.8 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 1.6 MB
13. Advanced Quantopian and Trading Algorithms/1. Welcome to Trading Algorithms.mp4 1.5 MB
11. Python Finance Fundamentals/15.1 SPY.csv 140.4 KB
13. Advanced Quantopian and Trading Algorithms/13. Futures on Quantopian Part Two.srt 30.9 KB
9. Capstone Stock Market Analysis Project/3. Stock Market Analysis Project Solutions Part One.srt 28.3 KB
3. Python Crash Course/3. Python Crash Course Part One.srt 27.6 KB
13. Advanced Quantopian and Trading Algorithms/12. Futures on Quantopian.srt 27.2 KB
13. Advanced Quantopian and Trading Algorithms/5. Pipeline Trading Algorithm Code along Part Three.srt 27.1 KB
8. Pandas with Time Series Data/6. Pandas Rolling and Expanding.srt 26.9 KB
12. Basics of Algorithmic Trading with Quantopian/6. Quantopian Algorithms Basics Part Two.srt 26.4 KB
6. Visualization with Matplotlib and Pandas/9. Pandas Time Series Visualization.srt 26.2 KB
6. Visualization with Matplotlib and Pandas/3. Matplotlib Basics - Part One.srt 26.1 KB
12. Basics of Algorithmic Trading with Quantopian/4. Quantopian Research Basics.srt 25.8 KB
12. Basics of Algorithmic Trading with Quantopian/5. Quantopian Algorithms Basics Part One.srt 25.1 KB
4. NumPy/3. NumPy Arrays.srt 24.9 KB
12. Basics of Algorithmic Trading with Quantopian/12. Quantopian Pipelines Factors.srt 24.9 KB
13. Advanced Quantopian and Trading Algorithms/9. Portfolio Analysis with PyFolio.srt 24.6 KB
9. Capstone Stock Market Analysis Project/5. Stock Market Analysis Project Solutions Part Three.srt 24.5 KB
11. Python Finance Fundamentals/9. Portfolio Optimization Code Along Three.srt 24.1 KB
13. Advanced Quantopian and Trading Algorithms/10. Stock Sentiment Analysis Project.srt 23.9 KB
12. Basics of Algorithmic Trading with Quantopian/8. First Trading Algorithm - Part Two.srt 23.8 KB
12. Basics of Algorithmic Trading with Quantopian/7. First Trading Algorithm - Part One.srt 23.5 KB
5. General Pandas Overview/5. DataFrames Part Two.srt 23.3 KB
11. Python Finance Fundamentals/12. Order Books.srt 22.5 KB
3. Python Crash Course/5. Python Crash Course Part Three.srt 22.4 KB
10. Time Series Analysis/7. EWMA Code Along.srt 21.6 KB
11. Python Finance Fundamentals/7. Portfolio Optimization Code Along One.srt 21.4 KB
11. Python Finance Fundamentals/4. Portfolio Allocation Code Along Part One.srt 21.3 KB
13. Advanced Quantopian and Trading Algorithms/7. Hedging.srt 20.9 KB
13. Advanced Quantopian and Trading Algorithms/2. Pipeline Trading Algorithm Example - Code Along - Part One.srt 20.9 KB
3. Python Crash Course/4. Python Crash Course Part Two.srt 20.5 KB
5. General Pandas Overview/4. DataFrames.srt 20.5 KB
13. Advanced Quantopian and Trading Algorithms/6. Leverage.srt 20.4 KB
13. Advanced Quantopian and Trading Algorithms/8. Hedging- Part Two.srt 20.1 KB
10. Time Series Analysis/15. ARIMA Code Part Four.srt 20.0 KB
5. General Pandas Overview/11. Data Input and Output.srt 20.0 KB
6. Visualization with Matplotlib and Pandas/4. Matplotlib Basics - Part Two.srt 19.9 KB
10. Time Series Analysis/4. Introduction to Statsmodels.srt 19.4 KB
8. Pandas with Time Series Data/4. Time Resampling.srt 19.3 KB
10. Time Series Analysis/13. ARIMA Code Part Two.srt 19.0 KB
12. Basics of Algorithmic Trading with Quantopian/10. Trading Algorithm Exercise Solutions Part One.srt 18.8 KB
5. General Pandas Overview/13. General Pandas Exercise Solutions.srt 18.7 KB
6. Visualization with Matplotlib and Pandas/8. Pandas Visualization Overview.srt 17.2 KB
10. Time Series Analysis/11. ARIMA with Statsmodels.srt 17.2 KB
5. General Pandas Overview/10. Pandas Common Operations.srt 16.9 KB
6. Visualization with Matplotlib and Pandas/5. Matplotlib Part Three.srt 16.5 KB
12. Basics of Algorithmic Trading with Quantopian/2. Introduction to Quantopian.srt 16.4 KB
4. NumPy/5. Numpy Indexing.srt 16.3 KB
7. Data Sources/4. Quandl.srt 15.4 KB
11. Python Finance Fundamentals/15. CAPM Code Along.srt 15.3 KB
10. Time Series Analysis/9. ARIMA Theory.srt 14.7 KB
13. Advanced Quantopian and Trading Algorithms/3. Pipeline Trading Algorithm - Code Along - Part Two.srt 14.6 KB
8. Pandas with Time Series Data/3. Datetime Index.srt 14.4 KB
4. NumPy/7. Numpy Exercise Solutions.srt 14.3 KB
2. Course Materials and Set-up/2. Course Installation Guide.srt 13.9 KB
5. General Pandas Overview/9. Merging, Joining, and Concatenating DataFrames.srt 13.7 KB
12. Basics of Algorithmic Trading with Quantopian/14. Quantopian Pipeline - Masking and Classifiers.srt 13.6 KB
3. Python Crash Course/7. Python Crash Course Exercise Solutions.srt 13.2 KB
9. Capstone Stock Market Analysis Project/4. Python Stock Market Analysis Solutions - Part Two.srt 13.1 KB
13. Advanced Quantopian and Trading Algorithms/11. What are Futures.srt 12.8 KB
6. Visualization with Matplotlib and Pandas/11. Pandas Visualization Exercise Solutions.srt 12.6 KB
9. Capstone Stock Market Analysis Project/6. Stock Market Analysis Project Solutions Part Four.srt 12.1 KB
6. Visualization with Matplotlib and Pandas/7. Matplotlib Exercise Solutions.srt 12.0 KB
5. General Pandas Overview/6. DataFrames Part Three.srt 11.7 KB
9. Capstone Stock Market Analysis Project/2. Stock Market Analysis Project.srt 11.5 KB
11. Python Finance Fundamentals/8. Portfolio Optimization Code Along Two.srt 10.9 KB
11. Python Finance Fundamentals/3. Sharpe Ratio Slides.srt 10.7 KB
11. Python Finance Fundamentals/5. Portfolio Allocation Code Along Part Two.srt 10.1 KB
5. General Pandas Overview/3. Series.srt 9.9 KB
10. Time Series Analysis/14. ARIMA Code Part Three.srt 9.8 KB
10. Time Series Analysis/8. ETS Code Along.srt 9.5 KB
8. Pandas with Time Series Data/5. Time Shifts.srt 9.2 KB
5. General Pandas Overview/8. Group By with Pandas.srt 9.2 KB
12. Basics of Algorithmic Trading with Quantopian/13. Quantopian Pipelines Filters.srt 9.0 KB
11. Python Finance Fundamentals/11. Types of Funds.srt 9.0 KB
10. Time Series Analysis/10. ACF and PACF.srt 8.8 KB
5. General Pandas Overview/7. Missing Data.srt 8.3 KB
12. Basics of Algorithmic Trading with Quantopian/9. Trading Algorithm Exercise.srt 7.6 KB
11. Python Finance Fundamentals/6. Portfolio Optimization.srt 7.5 KB
4. NumPy/4. Numpy Operations.srt 7.5 KB
11. Python Finance Fundamentals/14. CAPM - Capital Asset Pricing Model.srt 7.3 KB
4. NumPy/6. NumPy Review Exercise.srt 7.0 KB
7. Data Sources/3. Pandas DataReader.srt 6.8 KB
10. Time Series Analysis/3. Time Series Basics.srt 6.7 KB
3. Python Crash Course/6. Python Crash Course Exercises.srt 6.7 KB
10. Time Series Analysis/5. ETS Theory.srt 6.4 KB
6. Visualization with Matplotlib and Pandas/6. Matplotlib Exercise.srt 6.1 KB
1. Course Introduction/2. Course Overview Lecture (DON'T SKIP THIS!).srt 5.8 KB
5. General Pandas Overview/12. General Pandas Review Exercises.srt 5.4 KB
11. Python Finance Fundamentals/16. Stock Splits and Dividends.srt 4.9 KB
10. Time Series Analysis/2. Introduction to Time Series.srt 4.7 KB
10. Time Series Analysis/6. EWMA Theory.srt 4.3 KB
5. General Pandas Overview/2. Introduction to Pandas.srt 4.1 KB
12. Basics of Algorithmic Trading with Quantopian/11. Trading Algorithm Exercise Solutions Part Two.srt 4.1 KB
11. Python Finance Fundamentals/13. Short Selling.srt 3.6 KB
1. Course Introduction/1. Introduction to Course.srt 3.1 KB
11. Python Finance Fundamentals/17. EMH.srt 2.9 KB
6. Visualization with Matplotlib and Pandas/2. Introduction to Visualization in Python.srt 2.8 KB
4. NumPy/2. Introduction to NumPy.srt 2.5 KB
7. Data Sources/1. Introduction to Data Sources.srt 2.1 KB
3. Python Crash Course/2. Introduction to Crash Course.srt 2.1 KB
1. Course Introduction/4. Course FAQ.html 1.8 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 1.2 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 1.1 KB
11. Python Finance Fundamentals/2. Introduction to Python Finance Fundamentals.srt 1.1 KB
Readme.txt 962 bytes
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/2.2 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/2.3 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/11.2 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/11.1 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
[GigaCourse.com].url 49 bytes

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

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