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[FreeCourseWorld.Com].url |
54б |
1.1 Data Sources Slides.html |
138б |
1. Bonus Lecture.html |
532б |
1. Course Installation Help Notes.html |
1.14Кб |
1. Introduction to Course.mp4 |
8.51Мб |
1. Introduction to Course.srt |
3.09Кб |
1. Introduction to Data Sources.mp4 |
2.53Мб |
1. Introduction to Data Sources.srt |
2.11Кб |
1. Welcome to Finance Fundamentals.mp4 |
4.39Мб |
1. Welcome to Finance Fundamentals.srt |
939б |
1. Welcome to NumPy.mp4 |
2.84Мб |
1. Welcome to NumPy.srt |
527б |
1. Welcome to Pandas.mp4 |
2.71Мб |
1. Welcome to Pandas.srt |
548б |
1. Welcome to Pandas for Time Series.mp4 |
1.62Мб |
1. Welcome to Pandas for Time Series.srt |
278б |
1. Welcome to the Capstone Project!.mp4 |
3.89Мб |
1. Welcome to the Capstone Project!.srt |
790б |
1. Welcome to the Python Crash Course.mp4 |
2.30Мб |
1. Welcome to the Python Crash Course.srt |
420б |
1. Welcome to the Quantopian Section.mp4 |
3.03Мб |
1. Welcome to the Quantopian Section.srt |
624б |
1. Welcome to Time Series Analysis.mp4 |
4.22Мб |
1. Welcome to Time Series Analysis.srt |
880б |
1. Welcome to Trading Algorithms.mp4 |
1.54Мб |
1. Welcome to Trading Algorithms.srt |
1.17Кб |
1. Welcome to Visualization.mp4 |
2.91Мб |
1. Welcome to Visualization.srt |
574б |
10. ACF and PACF.mp4 |
11.60Мб |
10. ACF and PACF.srt |
8.79Кб |
10. Key Financial Topics.mp4 |
2.00Мб |
10. Key Financial Topics.srt |
1.51Кб |
10. Pandas Common Operations.mp4 |
26.15Мб |
10. Pandas Common Operations.srt |
16.85Кб |
10. Pandas Visualization Exercise Overview.mp4 |
5.61Мб |
10. Pandas Visualization Exercise Overview.srt |
5.63Мб |
10. Stock Sentiment Analysis Project.mp4 |
35.25Мб |
10. Stock Sentiment Analysis Project.srt |
23.94Кб |
10. Trading Algorithm Exercise Solutions Part One.mp4 |
26.42Мб |
10. Trading Algorithm Exercise Solutions Part One.srt |
18.75Кб |
11.1 Hedge Funds.html |
110б |
11.1 Rules for getting p,d,q.html |
103б |
11.2 Mutual Fund.html |
111б |
11.3 ETFs.html |
104б |
11. ARIMA with Statsmodels.mp4 |
25.76Мб |
11. ARIMA with Statsmodels.srt |
17.17Кб |
11. Data Input and Output.mp4 |
35.95Мб |
11. Data Input and Output.srt |
19.96Кб |
11. Pandas Visualization Exercise Solutions.mp4 |
32.35Мб |
11. Pandas Visualization Exercise Solutions.srt |
12.60Кб |
11. Trading Algorithm Exercise Solutions Part Two.mp4 |
4.90Мб |
11. Trading Algorithm Exercise Solutions Part Two.srt |
4.08Кб |
11. Types of Funds.mp4 |
11.37Мб |
11. Types of Funds.srt |
9.01Кб |
11. What are Futures.mp4 |
16.62Мб |
11. What are Futures.srt |
12.85Кб |
12.1 Talk about HFT by Brad Katsuyama.html |
104б |
12.2 Order Books.html |
111б |
12. Futures on Quantopian.mp4 |
47.71Мб |
12. Futures on Quantopian.srt |
27.23Кб |
12. General Pandas Review Exercises.mp4 |
8.71Мб |
12. General Pandas Review Exercises.srt |
5.42Кб |
12. Order Books.mp4 |
25.73Мб |
12. Order Books.srt |
22.53Кб |
12. Quantopian Pipelines Factors.mp4 |
37.76Мб |
12. Quantopian Pipelines Factors.srt |
24.87Кб |
12. Quick Note on Second Milk Difference!.html |
718б |
13.1 Short Selling.html |
113б |
13. ARIMA Code Part Two.mp4 |
32.28Мб |
13. ARIMA Code Part Two.srt |
18.95Кб |
13. Futures on Quantopian Part Two.mp4 |
60.27Мб |
13. Futures on Quantopian Part Two.srt |
30.87Кб |
13. General Pandas Exercise Solutions.mp4 |
33.95Мб |
13. General Pandas Exercise Solutions.srt |
18.66Кб |
13. Quantopian Pipelines Filters.mp4 |
15.77Мб |
13. Quantopian Pipelines Filters.srt |
9.04Кб |
13. Short Selling.mp4 |
4.81Мб |
13. Short Selling.srt |
3.61Кб |
14.1 CAPM.html |
105б |
14. ARIMA Code Part Three.mp4 |
15.07Мб |
14. ARIMA Code Part Three.srt |
9.84Кб |
14. CAPM - Capital Asset Pricing Model.mp4 |
9.83Мб |
14. CAPM - Capital Asset Pricing Model.srt |
7.33Кб |
14. Quantopian Pipeline - Masking and Classifiers.mp4 |
25.41Мб |
14. Quantopian Pipeline - Masking and Classifiers.srt |
13.56Кб |
15.1 SPY.csv |
140.44Кб |
15. ARIMA Code Part Four.mp4 |
35.09Мб |
15. ARIMA Code Part Four.srt |
20.03Кб |
15. CAPM Code Along.mp4 |
27.59Мб |
15. CAPM Code Along.srt |
15.34Кб |
16.1 Splits and Dividends.html |
158б |
16. Discussion on choosing PDQ.html |
375б |
16. Stock Splits and Dividends.mp4 |
6.26Мб |
16. Stock Splits and Dividends.srt |
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17.1 EMH.html |
126б |
17. EMH.mp4 |
3.87Мб |
17. EMH.srt |
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2.1 Capstone Project Slides.html |
138б |
2.1 Link to Py Crash Course Slides.html |
138б |
2.1 Numpy Slides.html |
138б |
2.1 Pandas Slides.html |
138б |
2.1 Pandas Time Series Slides.html |
138б |
2.1 Python Finance Fundamentals Slides.html |
138б |
2.1 Python-for-Finance-Repo-master.zip |
12.53Мб |
2.1 Quantopian Slides.html |
138б |
2.1 Time Series Analysis Slides.html |
138б |
2.1 Visualization Slides.html |
138б |
2.2 Google Drive Download Link for Alternative yml environment file (click download since no preview available).html |
143б |
2.3 More info on Conda Environments.html |
119б |
2. Course Installation Guide.mp4 |
20.65Мб |
2. Course Installation Guide.srt |
13.95Кб |
2. Course Overview Lecture (DON'T SKIP THIS!).mp4 |
8.60Мб |
2. Course Overview Lecture (DON'T SKIP THIS!).srt |
5.84Кб |
2. Introduction to Crash Course.mp4 |
2.42Мб |
2. Introduction to Crash Course.srt |
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2. Introduction to NumPy.mp4 |
3.14Мб |
2. Introduction to NumPy.srt |
2.53Кб |
2. Introduction to Pandas.mp4 |
5.05Мб |
2. Introduction to Pandas.srt |
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2. Introduction to Python Finance Fundamentals.mp4 |
1.66Мб |
2. Introduction to Python Finance Fundamentals.srt |
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2. Introduction to Quantopian.mp4 |
30.96Мб |
2. Introduction to Quantopian.srt |
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2. Introduction to Time Series.mp4 |
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2. Introduction to Time Series.srt |
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2. Introduction to Time Series with Pandas.mp4 |
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2. Introduction to Time Series with Pandas.srt |
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2. Introduction to Visualization in Python.mp4 |
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2. Introduction to Visualization in Python.srt |
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2. Note on Pandas Datareader.html |
299б |
2. Pipeline Trading Algorithm Example - Code Along - Part One.mp4 |
27.19Мб |
2. Pipeline Trading Algorithm Example - Code Along - Part One.srt |
20.89Кб |
2. Stock Market Analysis Project.mp4 |
26.85Мб |
2. Stock Market Analysis Project.srt |
11.51Кб |
3.1 Investopedia Sharpe Ratio.html |
112б |
3.1 Optional Reading on Order Book.html |
111б |
3.2 Optional Reading about how to understand Options.html |
108б |
3.3 Docs for Pandas DataReader.html |
102б |
3. Datetime Index.mp4 |
18.34Мб |
3. Datetime Index.srt |
14.36Кб |
3. Did you skip the last lecture Please go back and view it!.html |
686б |
3. Matplotlib Basics - Part One.mp4 |
41.63Мб |
3. Matplotlib Basics - Part One.srt |
26.14Кб |
3. Note on get_fundamentals.html |
428б |
3. NumPy Arrays.mp4 |
31.92Мб |
3. NumPy Arrays.srt |
24.92Кб |
3. Pandas DataReader.mp4 |
9.79Мб |
3. Pandas DataReader.srt |
6.78Кб |
3. Pipeline Trading Algorithm - Code Along - Part Two.mp4 |
25.77Мб |
3. Pipeline Trading Algorithm - Code Along - Part Two.srt |
14.63Кб |
3. Python Crash Course Part One.mp4 |
38.00Мб |
3. Python Crash Course Part One.srt |
27.60Кб |
3. Series.mp4 |
15.34Мб |
3. Series.srt |
9.89Кб |
3. Sharpe Ratio Slides.mp4 |
13.45Мб |
3. Sharpe Ratio Slides.srt |
10.73Кб |
3. Stock Market Analysis Project Solutions Part One.mp4 |
63.36Мб |
3. Stock Market Analysis Project Solutions Part One.srt |
28.26Кб |
3. Time Series Basics.mp4 |
6.86Мб |
3. Time Series Basics.srt |
6.72Кб |
4.1 Python-for-Finance-Repo-master.zip |
12.57Мб |
4.1 Statsmodels Docs.html |
105б |
4. Course FAQ.html |
1.79Кб |
4. DataFrames.mp4 |
43.86Мб |
4. DataFrames.srt |
20.46Кб |
4. Introduction to Statsmodels.mp4 |
39.55Мб |
4. Introduction to Statsmodels.srt |
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4. Matplotlib Basics - Part Two.mp4 |
33.95Мб |
4. Matplotlib Basics - Part Two.srt |
19.86Кб |
4. Numpy Operations.mp4 |
9.55Мб |
4. Numpy Operations.srt |
7.46Кб |
4. Portfolio Allocation Code Along Part One.mp4 |
39.65Мб |
4. Portfolio Allocation Code Along Part One.srt |
21.34Кб |
4. Python Crash Course Part Two.mp4 |
24.25Мб |
4. Python Crash Course Part Two.srt |
20.52Кб |
4. Python Stock Market Analysis Solutions - Part Two.mp4 |
27.48Мб |
4. Python Stock Market Analysis Solutions - Part Two.srt |
13.15Кб |
4. Quandl.mp4 |
27.07Мб |
4. Quandl.srt |
15.43Кб |
4. Quantopian Research Basics.mp4 |
38.61Мб |
4. Quantopian Research Basics.srt |
25.79Кб |
4. Quick note.html |
257б |
4. Time Resampling.mp4 |
34.74Мб |
4. Time Resampling.srt |
19.33Кб |
5. DataFrames Part Two.mp4 |
45.95Мб |
5. DataFrames Part Two.srt |
23.26Кб |
5. ETS Theory.mp4 |
7.69Мб |
5. ETS Theory.srt |
6.38Кб |
5. Matplotlib Part Three.mp4 |
32.23Мб |
5. Matplotlib Part Three.srt |
16.54Кб |
5. Numpy Indexing.mp4 |
20.29Мб |
5. Numpy Indexing.srt |
16.32Кб |
5. Pipeline Trading Algorithm Code along Part Three.mp4 |
50.56Мб |
5. Pipeline Trading Algorithm Code along Part Three.srt |
27.12Кб |
5. Portfolio Allocation Code Along Part Two.mp4 |
14.01Мб |
5. Portfolio Allocation Code Along Part Two.srt |
10.06Кб |
5. Python Crash Course Part Three.mp4 |
28.57Мб |
5. Python Crash Course Part Three.srt |
22.42Кб |
5. Quantopian Algorithms Basics Part One.mp4 |
33.29Мб |
5. Quantopian Algorithms Basics Part One.srt |
25.11Кб |
5. Stock Market Analysis Project Solutions Part Three.mp4 |
53.42Мб |
5. Stock Market Analysis Project Solutions Part Three.srt |
24.47Кб |
5. Time Shifts.mp4 |
17.09Мб |
5. Time Shifts.srt |
9.25Кб |
6.1 EWMA on Investopedia.html |
109б |
6.1 Explanation of Drawdown.html |
109б |
6. DataFrames Part Three.mp4 |
20.45Мб |
6. DataFrames Part Three.srt |
11.68Кб |
6. EWMA Theory.mp4 |
5.24Мб |
6. EWMA Theory.srt |
4.28Кб |
6. Leverage.mp4 |
28.92Мб |
6. Leverage.srt |
20.38Кб |
6. Matplotlib Exercise.mp4 |
10.35Мб |
6. Matplotlib Exercise.srt |
6.11Кб |
6. NumPy Review Exercise.mp4 |
14.68Мб |
6. NumPy Review Exercise.srt |
7.04Кб |
6. Pandas Rolling and Expanding.mp4 |
38.73Мб |
6. Pandas Rolling and Expanding.srt |
26.92Кб |
6. Portfolio Optimization.mp4 |
9.53Мб |
6. Portfolio Optimization.srt |
7.52Кб |
6. Python Crash Course Exercises.mp4 |
12.53Мб |
6. Python Crash Course Exercises.srt |
6.69Кб |
6. Quantopian Algorithms Basics Part Two.mp4 |
33.94Мб |
6. Quantopian Algorithms Basics Part Two.srt |
26.45Кб |
6. Stock Market Analysis Project Solutions Part Four.mp4 |
19.64Мб |
6. Stock Market Analysis Project Solutions Part Four.srt |
12.08Кб |
7. EWMA Code Along.mp4 |
35.44Мб |
7. EWMA Code Along.srt |
21.58Кб |
7. First Trading Algorithm - Part One.mp4 |
36.49Мб |
7. First Trading Algorithm - Part One.srt |
23.54Кб |
7. Hedging.mp4 |
31.29Мб |
7. Hedging.srt |
20.91Кб |
7. Matplotlib Exercise Solutions.mp4 |
30.95Мб |
7. Matplotlib Exercise Solutions.srt |
12.01Кб |
7. Missing Data.mp4 |
13.06Мб |
7. Missing Data.srt |
8.33Кб |
7. Numpy Exercise Solutions.mp4 |
27.06Мб |
7. Numpy Exercise Solutions.srt |
14.27Кб |
7. Portfolio Optimization Code Along One.mp4 |
31.45Мб |
7. Portfolio Optimization Code Along One.srt |
21.44Кб |
7. Python Crash Course Exercise Solutions.mp4 |
22.16Мб |
7. Python Crash Course Exercise Solutions.srt |
13.18Кб |
8. ETS Code Along.mp4 |
14.83Мб |
8. ETS Code Along.srt |
9.50Кб |
8. First Trading Algorithm - Part Two.mp4 |
36.48Мб |
8. First Trading Algorithm - Part Two.srt |
23.81Кб |
8. Group By with Pandas.mp4 |
16.05Мб |
8. Group By with Pandas.srt |
9.21Кб |
8. Hedging- Part Two.mp4 |
35.72Мб |
8. Hedging- Part Two.srt |
20.09Кб |
8. Pandas Visualization Overview.mp4 |
31.54Мб |
8. Pandas Visualization Overview.srt |
17.23Кб |
8. Portfolio Optimization Code Along Two.mp4 |
17.33Мб |
8. Portfolio Optimization Code Along Two.srt |
10.93Кб |
9.1 Really great link describing ARIMA ACF and PACF plots.html |
103б |
9. ARIMA Theory.mp4 |
17.29Мб |
9. ARIMA Theory.srt |
14.72Кб |
9. Merging, Joining, and Concatenating DataFrames.mp4 |
28.85Мб |
9. Merging, Joining, and Concatenating DataFrames.srt |
13.68Кб |
9. Pandas Time Series Visualization.mp4 |
39.72Мб |
9. Pandas Time Series Visualization.srt |
26.19Кб |
9. Portfolio Analysis with PyFolio.mp4 |
36.82Мб |
9. Portfolio Analysis with PyFolio.srt |
24.60Кб |
9. Portfolio Optimization Code Along Three.mp4 |
46.23Мб |
9. Portfolio Optimization Code Along Three.srt |
24.12Кб |
9. Trading Algorithm Exercise.mp4 |
8.91Мб |
9. Trading Algorithm Exercise.srt |
7.56Кб |