Udemy.Python.for.Financial.Analysis.and.Algorithmic.Trading-UDUMMY

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0day

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UDUMMY

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6,43 GB

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12

Date

2022-03-10

NFO

Udemy.Python.for.Financial.Analysis.and.Algorithmic.Trading-UDUMMY

Title:   Python for Financial Analysis and Algorithmic Trading
URL:     https://www.udemy.com/course/python-for-finance-and-trading-algorithms/
Length:  16:35:31
Subs:    de-DE, en-US, es-ES, fr-FR, id-ID, it-IT, ja-JP, pl-PL, pt-BR, ro-RO

Notes:
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Headline:
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Learn numpy , pandas , matplotlib , quantopian , finance , and more for algorithmic trading with Python!

Contents:
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1. Course Introduction
 - 1. Introduction to Course => 02:12
 - 2. Course Overview Lecture (DON'T SKIP THIS!) => 03:32
 - 3. Did you skip the last lecture? Please go back and view it! => Article (not included)
 - 4. Course FAQ => Article (not included)
2. Course Materials and Set-up
 - 5. Note on yml File => Article (not included)
 - 6. Course Installation Guide => 08:48
3. Python Crash Course
 - 7. Welcome to the Python Crash Course => 00:19
 - 8. Introduction to Crash Course => 01:16
 - 9. Python Crash Course Part One => 19:00
 - 10. Python Crash Course Part Two => 13:37
 - 11. Python Crash Course Part Three => 15:02
 - 12. Python Crash Course Exercises => 04:13
 - 13. Python Crash Course Exercise Solutions => 09:06
4. NumPy
 - 14. Welcome to NumPy => 00:23
 - 15. Introduction to NumPy => 01:37
 - 16. NumPy Arrays => 15:47
 - 17. Numpy Operations => 04:19
 - 18. Numpy Indexing => 10:54
 - 19. NumPy Review Exercise => 04:10
 - 20. Numpy Exercise Solutions => 09:51
5. General Pandas Overview
 - 21. Welcome to Pandas => 00:22
 - 22. Introduction to Pandas => 02:39
 - 23. Series => 06:58
 - 24. DataFrames => 15:34
 - 25. DataFrames Part Two => 16:59
 - 26. DataFrames Part Three => 09:01
 - 27. Missing Data => 06:14
 - 28. Group By with Pandas => 06:37
 - 29. Merging, Joining, and Concatenating DataFrames => 09:10
 - 30. Pandas Common Operations => 12:12
 - 31. Data Input and Output => 13:50
 - 32. General Pandas Review Exercises => 03:06
 - 33. General Pandas Exercise Solutions => 12:53
6. Visualization with Matplotlib and Pandas
 - 34. Welcome to Visualization => 00:23
 - 35. Introduction to Visualization in Python => 01:48
 - 36. Matplotlib Basics - Part One => 18:45
 - 37. Matplotlib Basics - Part Two => 15:31
 - 38. Matplotlib Part Three => 11:43
 - 39. Matplotlib Exercise => 03:42
 - 40. Matplotlib Exercise Solutions => 10:08
 - 41. Pandas Visualization Overview => 12:07
 - 42. Pandas Time Series Visualization => 17:32
 - 43. Pandas Visualization Exercise Overview => 01:18
 - 44. Pandas Visualization Exercise Solutions => 08:51
7. Data Sources
 - 45. Introduction to Data Sources => 01:21
 - 46. Note on Pandas Datareader => Article (not included)
 - 47. Pandas DataReader => 04:37
 - 48. Quandl => 10:21
8. Pandas with Time Series Data
 - 49. Welcome to Pandas for Time Series => 00:13
 - 50. Introduction to Time Series with Pandas => 00:58
 - 51. Datetime Index => 09:38
 - 52. Time Resampling => 12:48
 - 53. Time Shifts => 05:58
 - 54. Pandas Rolling and Expanding => 17:52
9. Capstone Stock Market Analysis Project
 - 55. Welcome to the Capstone Project! => 00:30
 - 56. Stock Market Analysis Project => 06:38
 - 57. Stock Market Analysis Project Solutions Part One => 20:25
 - 58. Python Stock Market Analysis Solutions - Part Two => 09:36
 - 59. Stock Market Analysis Project Solutions Part Three => 16:52
 - 60. Stock Market Analysis Project Solutions Part Four => 08:23
10. Time Series Analysis
 - 61. Welcome to Time Series Analysis => 00:33
 - 62. Introduction to Time Series => 02:51
 - 63. Time Series Basics => 03:58
 - 64. Introduction to Statsmodels => 12:29
 - 65. ETS Theory => 04:16
 - 66. EWMA Theory => 02:49
 - 67. EWMA Code Along => 14:24
 - 68. ETS Code Along => 06:24
 - 69. ARIMA Theory => 09:33
 - 70. ACF and PACF => 06:20
 - 71. ARIMA with Statsmodels => 11:42
 - 72. Quick Note on Second Milk Difference! => Article (not included)
 - 73. ARIMA Code Part Two => 13:59
 - 74. ARIMA Code Part Three => 06:49
 - 75. ARIMA Code Part Four => 14:14
 - 76. Discussion on choosing PDQ => Article (not included)
11. Python Finance Fundamentals
 - 77. Welcome to Finance Fundamentals => 00:36
 - 78. Introduction to Python Finance Fundamentals => 00:49
 - 79. Sharpe Ratio Slides => 07:16
 - 80. Portfolio Allocation Code Along Part One => 15:31
 - 81. Portfolio Allocation Code Along Part Two => 06:44
 - 82. Portfolio Optimization => 05:14
 - 83. Portfolio Optimization Code Along One => 14:44
 - 84. Portfolio Optimization Code Along Two => 07:45
 - 85. Portfolio Optimization Code Along Three => 16:32
 - 86. Key Financial Topics => 01:06
 - 87. Types of Funds => 06:09
 - 88. Order Books => 14:35
 - 89. Short Selling => 02:35
 - 90. CAPM - Capital Asset Pricing Model => 05:18
 - 91. CAPM Code Along => 12:09
 - 92. Stock Splits and Dividends => 03:16
 - 93. EMH => 02:00
12. Basics of Algorithmic Trading with Quantopian and Zipline
 - 94. Note on Quantopian and Zipline => Article (not included)
 - 95. Welcome to the Quantopian Section => 00:24
 - 96. Introduction to Quantopian => 09:27
 - 97. Quantopian Algorithms Basics Part One => 16:17
 - 98. Quantopian Algorithms Basics Part Two => 17:17
 - 99. First Trading Algorithm - Part One => 16:47
 - 100. First Trading Algorithm - Part Two => 16:44
 - 101. Trading Algorithm Exercise => 04:50
 - 102. Trading Algorithm Exercise Solutions Part One => 12:36
 - 103. Trading Algorithm Exercise Solutions Part Two => 02:38
 - 104. Quantopian Pipelines Factors => 16:59
 - 105. Quantopian Pipelines Filters => 05:58
 - 106. Quantopian Pipeline - Masking and Classifiers => 09:17
13. Advanced Quantopian and Trading Algorithms
 - 107. Welcome to Trading Algorithms => 00:48
 - 108. Pipeline Trading Algorithm Example - Code Along - Part One => 13:34
 - 109. Pipeline Trading Algorithm - Code Along - Part Two => 10:27
 - 110. Quick note => Article (not included)
 - 111. Pipeline Trading Algorithm Code along Part Three => 19:28
 - 112. Leverage => 12:48
 - 113. Hedging => 14:17
 - 114. Hedging- Part Two => 14:54
 - 115. Portfolio Analysis with PyFolio => 15:20
 - 116. Stock Sentiment Analysis Project => 16:23
 - 117. What are Futures? => 09:02
 - 118. Futures on Quantopian => 18:19
 - 119. Futures on Quantopian Part Two => 20:34
14. BONUS SECTION: THANK YOU!
 - 120. Bonus Lecture: => Article (not included)

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