589689.xyz

[] Udemy - Python for Financial Analysis and Algorithmic Trading

  • 收录时间:2021-08-24 07:35:10
  • 文件大小:2GB
  • 下载次数:1
  • 最近下载:2021-08-24 07:35:10
  • 磁力链接:
立即下载 复制链接

文件列表

  1. 9. Capstone Stock Market Analysis Project/3. Stock Market Analysis Project Solutions Part One.mp4 63MB
  2. 13. Advanced Quantopian and Trading Algorithms/13. Futures on Quantopian Part Two.mp4 60MB
  3. 9. Capstone Stock Market Analysis Project/5. Stock Market Analysis Project Solutions Part Three.mp4 53MB
  4. 13. Advanced Quantopian and Trading Algorithms/5. Pipeline Trading Algorithm Code along Part Three.mp4 51MB
  5. 13. Advanced Quantopian and Trading Algorithms/12. Futures on Quantopian.mp4 48MB
  6. 11. Python Finance Fundamentals/9. Portfolio Optimization Code Along Three.mp4 46MB
  7. 5. General Pandas Overview/5. DataFrames Part Two.mp4 46MB
  8. 5. General Pandas Overview/4. DataFrames.mp4 44MB
  9. 6. Visualization with Matplotlib and Pandas/3. Matplotlib Basics - Part One.mp4 42MB
  10. 6. Visualization with Matplotlib and Pandas/9. Pandas Time Series Visualization.mp4 40MB
  11. 11. Python Finance Fundamentals/4. Portfolio Allocation Code Along Part One.mp4 40MB
  12. 10. Time Series Analysis/4. Introduction to Statsmodels.mp4 40MB
  13. 8. Pandas with Time Series Data/6. Pandas Rolling and Expanding.mp4 39MB
  14. 3. Python Crash Course/3. Python Crash Course Part One.mp4 38MB
  15. 12. Basics of Algorithmic Trading with Quantopian and Zipline/11. Quantopian Pipelines Factors.mp4 38MB
  16. 13. Advanced Quantopian and Trading Algorithms/9. Portfolio Analysis with PyFolio.mp4 37MB
  17. 12. Basics of Algorithmic Trading with Quantopian and Zipline/6. First Trading Algorithm - Part One.mp4 36MB
  18. 12. Basics of Algorithmic Trading with Quantopian and Zipline/7. First Trading Algorithm - Part Two.mp4 36MB
  19. 5. General Pandas Overview/11. Data Input and Output.mp4 36MB
  20. 13. Advanced Quantopian and Trading Algorithms/8. Hedging- Part Two.mp4 36MB
  21. 10. Time Series Analysis/7. EWMA Code Along.mp4 35MB
  22. 13. Advanced Quantopian and Trading Algorithms/10. Stock Sentiment Analysis Project.mp4 35MB
  23. 10. Time Series Analysis/15. ARIMA Code Part Four.mp4 35MB
  24. 8. Pandas with Time Series Data/4. Time Resampling.mp4 35MB
  25. 5. General Pandas Overview/13. General Pandas Exercise Solutions.mp4 34MB
  26. 6. Visualization with Matplotlib and Pandas/4. Matplotlib Basics - Part Two.mp4 34MB
  27. 12. Basics of Algorithmic Trading with Quantopian and Zipline/5. Quantopian Algorithms Basics Part Two.mp4 34MB
  28. 12. Basics of Algorithmic Trading with Quantopian and Zipline/4. Quantopian Algorithms Basics Part One.mp4 33MB
  29. 6. Visualization with Matplotlib and Pandas/11. Pandas Visualization Exercise Solutions.mp4 32MB
  30. 10. Time Series Analysis/13. ARIMA Code Part Two.mp4 32MB
  31. 6. Visualization with Matplotlib and Pandas/5. Matplotlib Part Three.mp4 32MB
  32. 4. NumPy/3. NumPy Arrays.mp4 32MB
  33. 6. Visualization with Matplotlib and Pandas/8. Pandas Visualization Overview.mp4 32MB
  34. 11. Python Finance Fundamentals/7. Portfolio Optimization Code Along One.mp4 31MB
  35. 13. Advanced Quantopian and Trading Algorithms/7. Hedging.mp4 31MB
  36. 12. Basics of Algorithmic Trading with Quantopian and Zipline/3. Introduction to Quantopian.mp4 31MB
  37. 6. Visualization with Matplotlib and Pandas/7. Matplotlib Exercise Solutions.mp4 31MB
  38. 13. Advanced Quantopian and Trading Algorithms/6. Leverage.mp4 29MB
  39. 5. General Pandas Overview/9. Merging, Joining, and Concatenating DataFrames.mp4 29MB
  40. 3. Python Crash Course/5. Python Crash Course Part Three.mp4 29MB
  41. 11. Python Finance Fundamentals/15. CAPM Code Along.mp4 28MB
  42. 9. Capstone Stock Market Analysis Project/4. Python Stock Market Analysis Solutions - Part Two.mp4 27MB
  43. 13. Advanced Quantopian and Trading Algorithms/2. Pipeline Trading Algorithm Example - Code Along - Part One.mp4 27MB
  44. 4. NumPy/7. Numpy Exercise Solutions.mp4 27MB
  45. 7. Data Sources/4. Quandl.mp4 27MB
  46. 9. Capstone Stock Market Analysis Project/2. Stock Market Analysis Project.mp4 27MB
  47. 12. Basics of Algorithmic Trading with Quantopian and Zipline/9. Trading Algorithm Exercise Solutions Part One.mp4 26MB
  48. 5. General Pandas Overview/10. Pandas Common Operations.mp4 26MB
  49. 10. Time Series Analysis/11. ARIMA with Statsmodels.mp4 26MB
  50. 13. Advanced Quantopian and Trading Algorithms/3. Pipeline Trading Algorithm - Code Along - Part Two.mp4 26MB
  51. 11. Python Finance Fundamentals/12. Order Books.mp4 26MB
  52. 12. Basics of Algorithmic Trading with Quantopian and Zipline/13. Quantopian Pipeline - Masking and Classifiers.mp4 25MB
  53. 3. Python Crash Course/4. Python Crash Course Part Two.mp4 24MB
  54. 3. Python Crash Course/7. Python Crash Course Exercise Solutions.mp4 22MB
  55. 2. Course Materials and Set-up/2. Course Installation Guide.mp4 21MB
  56. 5. General Pandas Overview/6. DataFrames Part Three.mp4 20MB
  57. 4. NumPy/5. Numpy Indexing.mp4 20MB
  58. 9. Capstone Stock Market Analysis Project/6. Stock Market Analysis Project Solutions Part Four.mp4 20MB
  59. 8. Pandas with Time Series Data/3. Datetime Index.mp4 18MB
  60. 11. Python Finance Fundamentals/8. Portfolio Optimization Code Along Two.mp4 17MB
  61. 10. Time Series Analysis/9. ARIMA Theory.mp4 17MB
  62. 8. Pandas with Time Series Data/5. Time Shifts.mp4 17MB
  63. 13. Advanced Quantopian and Trading Algorithms/11. What are Futures.mp4 17MB
  64. 5. General Pandas Overview/8. Group By with Pandas.mp4 16MB
  65. 12. Basics of Algorithmic Trading with Quantopian and Zipline/12. Quantopian Pipelines Filters.mp4 16MB
  66. 5. General Pandas Overview/3. Series.mp4 15MB
  67. 10. Time Series Analysis/14. ARIMA Code Part Three.mp4 15MB
  68. 10. Time Series Analysis/8. ETS Code Along.mp4 15MB
  69. 4. NumPy/6. NumPy Review Exercise.mp4 15MB
  70. 11. Python Finance Fundamentals/5. Portfolio Allocation Code Along Part Two.mp4 14MB
  71. 11. Python Finance Fundamentals/3. Sharpe Ratio Slides.mp4 13MB
  72. 5. General Pandas Overview/7. Missing Data.mp4 13MB
  73. 2. Course Materials and Set-up/2.3 Python-for-Finance-Repo-master.zip 13MB
  74. 3. Python Crash Course/6. Python Crash Course Exercises.mp4 13MB
  75. 10. Time Series Analysis/10. ACF and PACF.mp4 12MB
  76. 11. Python Finance Fundamentals/11. Types of Funds.mp4 11MB
  77. 6. Visualization with Matplotlib and Pandas/6. Matplotlib Exercise.mp4 10MB
  78. 11. Python Finance Fundamentals/14. CAPM - Capital Asset Pricing Model.mp4 10MB
  79. 7. Data Sources/3. Pandas DataReader.mp4 10MB
  80. 4. NumPy/4. Numpy Operations.mp4 10MB
  81. 11. Python Finance Fundamentals/6. Portfolio Optimization.mp4 10MB
  82. 12. Basics of Algorithmic Trading with Quantopian and Zipline/8. Trading Algorithm Exercise.mp4 9MB
  83. 5. General Pandas Overview/12. General Pandas Review Exercises.mp4 9MB
  84. 1. Course Introduction/2. Course Overview Lecture (DON'T SKIP THIS!).mp4 9MB
  85. 1. Course Introduction/1. Introduction to Course.mp4 9MB
  86. 10. Time Series Analysis/5. ETS Theory.mp4 8MB
  87. 10. Time Series Analysis/3. Time Series Basics.mp4 7MB
  88. 11. Python Finance Fundamentals/16. Stock Splits and Dividends.mp4 6MB
  89. 6. Visualization with Matplotlib and Pandas/10. Pandas Visualization Exercise Overview.mp4 6MB
  90. 10. Time Series Analysis/2. Introduction to Time Series.mp4 5MB
  91. 10. Time Series Analysis/6. EWMA Theory.mp4 5MB
  92. 5. General Pandas Overview/2. Introduction to Pandas.mp4 5MB
  93. 12. Basics of Algorithmic Trading with Quantopian and Zipline/10. Trading Algorithm Exercise Solutions Part Two.mp4 5MB
  94. 11. Python Finance Fundamentals/13. Short Selling.mp4 5MB
  95. 11. Python Finance Fundamentals/1. Welcome to Finance Fundamentals.mp4 4MB
  96. 10. Time Series Analysis/1. Welcome to Time Series Analysis.mp4 4MB
  97. 9. Capstone Stock Market Analysis Project/1. Welcome to the Capstone Project!.mp4 4MB
  98. 11. Python Finance Fundamentals/17. EMH.mp4 4MB
  99. 6. Visualization with Matplotlib and Pandas/2. Introduction to Visualization in Python.mp4 3MB
  100. 4. NumPy/2. Introduction to NumPy.mp4 3MB
  101. 12. Basics of Algorithmic Trading with Quantopian and Zipline/2. Welcome to the Quantopian Section.mp4 3MB
  102. 6. Visualization with Matplotlib and Pandas/1. Welcome to Visualization.mp4 3MB
  103. 4. NumPy/1. Welcome to NumPy.mp4 3MB
  104. 5. General Pandas Overview/1. Welcome to Pandas.mp4 3MB
  105. 7. Data Sources/1. Introduction to Data Sources.mp4 3MB
  106. 3. Python Crash Course/2. Introduction to Crash Course.mp4 2MB
  107. 3. Python Crash Course/1. Welcome to the Python Crash Course.mp4 2MB
  108. 11. Python Finance Fundamentals/10. Key Financial Topics.mp4 2MB
  109. 8. Pandas with Time Series Data/2. Introduction to Time Series with Pandas.mp4 2MB
  110. 11. Python Finance Fundamentals/2. Introduction to Python Finance Fundamentals.mp4 2MB
  111. 8. Pandas with Time Series Data/1. Welcome to Pandas for Time Series.mp4 2MB
  112. 13. Advanced Quantopian and Trading Algorithms/1. Welcome to Trading Algorithms.mp4 2MB
  113. 11. Python Finance Fundamentals/15.1 SPY.csv 140KB
  114. 13. Advanced Quantopian and Trading Algorithms/13. Futures on Quantopian Part Two.srt 31KB
  115. 9. Capstone Stock Market Analysis Project/3. Stock Market Analysis Project Solutions Part One.srt 28KB
  116. 3. Python Crash Course/3. Python Crash Course Part One.srt 28KB
  117. 13. Advanced Quantopian and Trading Algorithms/12. Futures on Quantopian.srt 27KB
  118. 13. Advanced Quantopian and Trading Algorithms/5. Pipeline Trading Algorithm Code along Part Three.srt 27KB
  119. 8. Pandas with Time Series Data/6. Pandas Rolling and Expanding.srt 27KB
  120. 12. Basics of Algorithmic Trading with Quantopian and Zipline/5. Quantopian Algorithms Basics Part Two.srt 26KB
  121. 6. Visualization with Matplotlib and Pandas/9. Pandas Time Series Visualization.srt 26KB
  122. 6. Visualization with Matplotlib and Pandas/3. Matplotlib Basics - Part One.srt 26KB
  123. 12. Basics of Algorithmic Trading with Quantopian and Zipline/4. Quantopian Algorithms Basics Part One.srt 25KB
  124. 4. NumPy/3. NumPy Arrays.srt 25KB
  125. 12. Basics of Algorithmic Trading with Quantopian and Zipline/11. Quantopian Pipelines Factors.srt 25KB
  126. 13. Advanced Quantopian and Trading Algorithms/9. Portfolio Analysis with PyFolio.srt 25KB
  127. 9. Capstone Stock Market Analysis Project/5. Stock Market Analysis Project Solutions Part Three.srt 24KB
  128. 11. Python Finance Fundamentals/9. Portfolio Optimization Code Along Three.srt 24KB
  129. 13. Advanced Quantopian and Trading Algorithms/10. Stock Sentiment Analysis Project.srt 24KB
  130. 12. Basics of Algorithmic Trading with Quantopian and Zipline/7. First Trading Algorithm - Part Two.srt 24KB
  131. 12. Basics of Algorithmic Trading with Quantopian and Zipline/6. First Trading Algorithm - Part One.srt 24KB
  132. 5. General Pandas Overview/5. DataFrames Part Two.srt 23KB
  133. 11. Python Finance Fundamentals/12. Order Books.srt 23KB
  134. 3. Python Crash Course/5. Python Crash Course Part Three.srt 22KB
  135. 10. Time Series Analysis/7. EWMA Code Along.srt 22KB
  136. 11. Python Finance Fundamentals/7. Portfolio Optimization Code Along One.srt 21KB
  137. 11. Python Finance Fundamentals/4. Portfolio Allocation Code Along Part One.srt 21KB
  138. 13. Advanced Quantopian and Trading Algorithms/7. Hedging.srt 21KB
  139. 13. Advanced Quantopian and Trading Algorithms/2. Pipeline Trading Algorithm Example - Code Along - Part One.srt 21KB
  140. 3. Python Crash Course/4. Python Crash Course Part Two.srt 21KB
  141. 5. General Pandas Overview/4. DataFrames.srt 20KB
  142. 13. Advanced Quantopian and Trading Algorithms/6. Leverage.srt 20KB
  143. 13. Advanced Quantopian and Trading Algorithms/8. Hedging- Part Two.srt 20KB
  144. 10. Time Series Analysis/15. ARIMA Code Part Four.srt 20KB
  145. 5. General Pandas Overview/11. Data Input and Output.srt 20KB
  146. 6. Visualization with Matplotlib and Pandas/4. Matplotlib Basics - Part Two.srt 20KB
  147. 10. Time Series Analysis/4. Introduction to Statsmodels.srt 19KB
  148. 8. Pandas with Time Series Data/4. Time Resampling.srt 19KB
  149. 10. Time Series Analysis/13. ARIMA Code Part Two.srt 19KB
  150. 12. Basics of Algorithmic Trading with Quantopian and Zipline/9. Trading Algorithm Exercise Solutions Part One.srt 19KB
  151. 5. General Pandas Overview/13. General Pandas Exercise Solutions.srt 19KB
  152. 6. Visualization with Matplotlib and Pandas/8. Pandas Visualization Overview.srt 17KB
  153. 10. Time Series Analysis/11. ARIMA with Statsmodels.srt 17KB
  154. 5. General Pandas Overview/10. Pandas Common Operations.srt 17KB
  155. 6. Visualization with Matplotlib and Pandas/5. Matplotlib Part Three.srt 17KB
  156. 12. Basics of Algorithmic Trading with Quantopian and Zipline/3. Introduction to Quantopian.srt 16KB
  157. 4. NumPy/5. Numpy Indexing.srt 16KB
  158. 7. Data Sources/4. Quandl.srt 15KB
  159. 11. Python Finance Fundamentals/15. CAPM Code Along.srt 15KB
  160. 10. Time Series Analysis/9. ARIMA Theory.srt 15KB
  161. 13. Advanced Quantopian and Trading Algorithms/3. Pipeline Trading Algorithm - Code Along - Part Two.srt 15KB
  162. 8. Pandas with Time Series Data/3. Datetime Index.srt 14KB
  163. 4. NumPy/7. Numpy Exercise Solutions.srt 14KB
  164. 2. Course Materials and Set-up/2. Course Installation Guide.srt 14KB
  165. 5. General Pandas Overview/9. Merging, Joining, and Concatenating DataFrames.srt 14KB
  166. 12. Basics of Algorithmic Trading with Quantopian and Zipline/13. Quantopian Pipeline - Masking and Classifiers.srt 14KB
  167. 3. Python Crash Course/7. Python Crash Course Exercise Solutions.srt 13KB
  168. 9. Capstone Stock Market Analysis Project/4. Python Stock Market Analysis Solutions - Part Two.srt 13KB
  169. 13. Advanced Quantopian and Trading Algorithms/11. What are Futures.srt 13KB
  170. 6. Visualization with Matplotlib and Pandas/11. Pandas Visualization Exercise Solutions.srt 13KB
  171. 9. Capstone Stock Market Analysis Project/6. Stock Market Analysis Project Solutions Part Four.srt 12KB
  172. 6. Visualization with Matplotlib and Pandas/7. Matplotlib Exercise Solutions.srt 12KB
  173. 5. General Pandas Overview/6. DataFrames Part Three.srt 12KB
  174. 9. Capstone Stock Market Analysis Project/2. Stock Market Analysis Project.srt 12KB
  175. 11. Python Finance Fundamentals/8. Portfolio Optimization Code Along Two.srt 11KB
  176. 11. Python Finance Fundamentals/3. Sharpe Ratio Slides.srt 11KB
  177. 11. Python Finance Fundamentals/5. Portfolio Allocation Code Along Part Two.srt 10KB
  178. 5. General Pandas Overview/3. Series.srt 10KB
  179. 10. Time Series Analysis/14. ARIMA Code Part Three.srt 10KB
  180. 10. Time Series Analysis/8. ETS Code Along.srt 9KB
  181. 8. Pandas with Time Series Data/5. Time Shifts.srt 9KB
  182. 5. General Pandas Overview/8. Group By with Pandas.srt 9KB
  183. 12. Basics of Algorithmic Trading with Quantopian and Zipline/12. Quantopian Pipelines Filters.srt 9KB
  184. 11. Python Finance Fundamentals/11. Types of Funds.srt 9KB
  185. 10. Time Series Analysis/10. ACF and PACF.srt 9KB
  186. 5. General Pandas Overview/7. Missing Data.srt 8KB
  187. 12. Basics of Algorithmic Trading with Quantopian and Zipline/8. Trading Algorithm Exercise.srt 8KB
  188. 11. Python Finance Fundamentals/6. Portfolio Optimization.srt 8KB
  189. 4. NumPy/4. Numpy Operations.srt 7KB
  190. 11. Python Finance Fundamentals/14. CAPM - Capital Asset Pricing Model.srt 7KB
  191. 4. NumPy/6. NumPy Review Exercise.srt 7KB
  192. 7. Data Sources/3. Pandas DataReader.srt 7KB
  193. 10. Time Series Analysis/3. Time Series Basics.srt 7KB
  194. 3. Python Crash Course/6. Python Crash Course Exercises.srt 7KB
  195. 10. Time Series Analysis/5. ETS Theory.srt 6KB
  196. 6. Visualization with Matplotlib and Pandas/6. Matplotlib Exercise.srt 6KB
  197. 1. Course Introduction/2. Course Overview Lecture (DON'T SKIP THIS!).srt 6KB
  198. 5. General Pandas Overview/12. General Pandas Review Exercises.srt 5KB
  199. 11. Python Finance Fundamentals/16. Stock Splits and Dividends.srt 5KB
  200. 10. Time Series Analysis/2. Introduction to Time Series.srt 5KB
  201. 10. Time Series Analysis/6. EWMA Theory.srt 4KB
  202. 5. General Pandas Overview/2. Introduction to Pandas.srt 4KB
  203. 12. Basics of Algorithmic Trading with Quantopian and Zipline/10. Trading Algorithm Exercise Solutions Part Two.srt 4KB
  204. 11. Python Finance Fundamentals/13. Short Selling.srt 4KB
  205. 1. Course Introduction/1. Introduction to Course.srt 3KB
  206. 11. Python Finance Fundamentals/17. EMH.srt 3KB
  207. 6. Visualization with Matplotlib and Pandas/2. Introduction to Visualization in Python.srt 3KB
  208. 4. NumPy/2. Introduction to NumPy.srt 3KB
  209. 7. Data Sources/1. Introduction to Data Sources.srt 2KB
  210. 3. Python Crash Course/2. Introduction to Crash Course.srt 2KB
  211. 1. Course Introduction/4. Course FAQ.html 2KB
  212. 6. Visualization with Matplotlib and Pandas/10. Pandas Visualization Exercise Overview.srt 2KB
  213. 11. Python Finance Fundamentals/10. Key Financial Topics.srt 2KB
  214. 8. Pandas with Time Series Data/2. Introduction to Time Series with Pandas.srt 1KB
  215. 13. Advanced Quantopian and Trading Algorithms/1. Welcome to Trading Algorithms.srt 1KB
  216. 11. Python Finance Fundamentals/2. Introduction to Python Finance Fundamentals.srt 1KB
  217. 11. Python Finance Fundamentals/1. Welcome to Finance Fundamentals.srt 939B
  218. 10. Time Series Analysis/1. Welcome to Time Series Analysis.srt 880B
  219. 12. Basics of Algorithmic Trading with Quantopian and Zipline/1. Note on Quantopian and Zipline.html 839B
  220. 9. Capstone Stock Market Analysis Project/1. Welcome to the Capstone Project!.srt 790B
  221. 10. Time Series Analysis/12. Quick Note on Second Milk Difference!.html 718B
  222. 1. Course Introduction/3. Did you skip the last lecture Please go back and view it!.html 696B
  223. 12. Basics of Algorithmic Trading with Quantopian and Zipline/2. Welcome to the Quantopian Section.srt 624B
  224. 6. Visualization with Matplotlib and Pandas/1. Welcome to Visualization.srt 574B
  225. 5. General Pandas Overview/1. Welcome to Pandas.srt 548B
  226. 14. BONUS SECTION THANK YOU!/1. Bonus Lecture.html 532B
  227. 4. NumPy/1. Welcome to NumPy.srt 527B
  228. 2. Course Materials and Set-up/1. Note on yml File.html 458B
  229. 3. Python Crash Course/1. Welcome to the Python Crash Course.srt 420B
  230. 10. Time Series Analysis/16. Discussion on choosing PDQ.html 375B
  231. 7. Data Sources/2. Note on Pandas Datareader.html 299B
  232. 8. Pandas with Time Series Data/1. Welcome to Pandas for Time Series.srt 278B
  233. 13. Advanced Quantopian and Trading Algorithms/4. Quick note.html 257B
  234. 11. Python Finance Fundamentals/16.1 Splits and Dividends.html 158B
  235. 2. Course Materials and Set-up/2.1 Google Drive Download Link for Alternative yml environment file (click download since no preview available).html 143B
  236. 10. Time Series Analysis/2.1 Time Series Analysis Slides.html 138B
  237. 11. Python Finance Fundamentals/2.1 Python Finance Fundamentals Slides.html 138B
  238. 12. Basics of Algorithmic Trading with Quantopian and Zipline/3.1 Quantopian Slides.html 138B
  239. 3. Python Crash Course/2.1 Link to Py Crash Course Slides.html 138B
  240. 4. NumPy/2.1 Numpy Slides.html 138B
  241. 5. General Pandas Overview/2.1 Pandas Slides.html 138B
  242. 6. Visualization with Matplotlib and Pandas/2.1 Visualization Slides.html 138B
  243. 7. Data Sources/1.1 Data Sources Slides.html 138B
  244. 8. Pandas with Time Series Data/2.1 Pandas Time Series Slides.html 138B
  245. 9. Capstone Stock Market Analysis Project/2.1 Capstone Project Slides.html 138B
  246. 0. Websites you may like/[FCS Forum].url 133B
  247. 0. Websites you may like/[FreeCourseSite.com].url 127B
  248. 11. Python Finance Fundamentals/17.1 EMH.html 126B
  249. 0. Websites you may like/[CourseClub.ME].url 122B
  250. 2. Course Materials and Set-up/2.2 More info on Conda Environments.html 119B
  251. 11. Python Finance Fundamentals/13.1 Short Selling.html 113B
  252. 11. Python Finance Fundamentals/3.1 Investopedia Sharpe Ratio.html 112B
  253. 11. Python Finance Fundamentals/11.2 Mutual Fund.html 111B
  254. 11. Python Finance Fundamentals/12.1 Order Books.html 111B
  255. 7. Data Sources/3.1 Optional Reading on Order Book.html 111B
  256. 11. Python Finance Fundamentals/11.1 Hedge Funds.html 110B
  257. 10. Time Series Analysis/6.1 EWMA on Investopedia.html 109B
  258. 12. Basics of Algorithmic Trading with Quantopian and Zipline/5.1 Explanation of Drawdown.html 109B
  259. 7. Data Sources/3.2 Optional Reading about how to understand Options.html 108B
  260. 10. Time Series Analysis/4.1 Statsmodels Docs.html 105B
  261. 11. Python Finance Fundamentals/14.1 CAPM.html 105B
  262. 11. Python Finance Fundamentals/11.3 ETFs.html 104B
  263. 11. Python Finance Fundamentals/12.2 Talk about HFT by Brad Katsuyama.html 104B
  264. 10. Time Series Analysis/11.1 Rules for getting p,d,q.html 103B
  265. 10. Time Series Analysis/9.1 Really great link describing ARIMA ACF and PACF plots.html 103B
  266. 7. Data Sources/3.3 Docs for Pandas DataReader.html 102B