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  1. 1. Getting Started/1. What is Algorithmic Trading Course Overview.mp438.27 MB
  2. 1. Getting Started/1. What is Algorithmic Trading Course Overview.srt6.13 KB
  3. 1. Getting Started/1.1 Overview.pdf476.76 KB
  4. 1. Getting Started/2. How to get the best out of this course.mp437.57 MB
  5. 1. Getting Started/2. How to get the best out of this course.srt6.89 KB
  6. 1. Getting Started/3. Did you know... (what Data can tell us about Day Trading).mp439.24 MB
  7. 1. Getting Started/3. Did you know... (what Data can tell us about Day Trading).srt5.43 KB
  8. 1. Getting Started/3.1 did_you_know.pdf429.34 KB
  9. 1. Getting Started/4. Test your knowledge.html203 bytes
  10. 1. Getting Started/5. Student FAQ.html10.09 KB
  11. 1. Getting Started/6. LEGAL DISCLAIMER (MUST READ!) .html2.56 KB
  12. 10. Introduction to Time Series Data in Pandas/1. Importing Time Series Data from csv-files.mp434.42 MB
  13. 10. Introduction to Time Series Data in Pandas/1. Importing Time Series Data from csv-files.srt9.93 KB
  14. 10. Introduction to Time Series Data in Pandas/2. Converting strings to datetime objects with pd.to_datetime().mp448.85 MB
  15. 10. Introduction to Time Series Data in Pandas/2. Converting strings to datetime objects with pd.to_datetime().srt11.12 KB
  16. 10. Introduction to Time Series Data in Pandas/3. Indexing and Slicing Time Series.mp440.63 MB
  17. 10. Introduction to Time Series Data in Pandas/3. Indexing and Slicing Time Series.srt8.14 KB
  18. 10. Introduction to Time Series Data in Pandas/4. Downsampling Time Series with resample().mp472.18 MB
  19. 10. Introduction to Time Series Data in Pandas/4. Downsampling Time Series with resample().srt16.73 KB
  20. 10. Introduction to Time Series Data in Pandas/5. Coding Exercise 1.mp435.91 MB
  21. 10. Introduction to Time Series Data in Pandas/5. Coding Exercise 1.srt5.81 KB
  22. 11. Financial Data Analysis with Pandas - an Introduction/1. Getting Ready (Installing required library).mp418.34 MB
  23. 11. Financial Data Analysis with Pandas - an Introduction/1. Getting Ready (Installing required library).srt2.53 KB
  24. 11. Financial Data Analysis with Pandas - an Introduction/10. Coding Exercise 2.html158 bytes
  25. 11. Financial Data Analysis with Pandas - an Introduction/11. Simple Returns vs. Log Returns.mp432.65 MB
  26. 11. Financial Data Analysis with Pandas - an Introduction/11. Simple Returns vs. Log Returns.srt11.09 KB
  27. 11. Financial Data Analysis with Pandas - an Introduction/12. Importing Financial Data from Excel.mp480.70 MB
  28. 11. Financial Data Analysis with Pandas - an Introduction/12. Importing Financial Data from Excel.srt13.89 KB
  29. 11. Financial Data Analysis with Pandas - an Introduction/13. Simple Moving Averages (SMA) with rolling().mp440.98 MB
  30. 11. Financial Data Analysis with Pandas - an Introduction/13. Simple Moving Averages (SMA) with rolling().srt10.89 KB
  31. 11. Financial Data Analysis with Pandas - an Introduction/14. Momentum Trading Strategies with SMAs.mp433.01 MB
  32. 11. Financial Data Analysis with Pandas - an Introduction/14. Momentum Trading Strategies with SMAs.srt8.70 KB
  33. 11. Financial Data Analysis with Pandas - an Introduction/15. Exponentially-weighted Moving Averages (EWMA).mp423.79 MB
  34. 11. Financial Data Analysis with Pandas - an Introduction/15. Exponentially-weighted Moving Averages (EWMA).srt5.63 KB
  35. 11. Financial Data Analysis with Pandas - an Introduction/16. Merging Aligning Financial Time Series (hands-on).mp425.90 MB
  36. 11. Financial Data Analysis with Pandas - an Introduction/16. Merging Aligning Financial Time Series (hands-on).srt6.01 KB
  37. 11. Financial Data Analysis with Pandas - an Introduction/2. Importing Stock Price Data from Yahoo Finance.mp458.50 MB
  38. 11. Financial Data Analysis with Pandas - an Introduction/2. Importing Stock Price Data from Yahoo Finance.srt10.20 KB
  39. 11. Financial Data Analysis with Pandas - an Introduction/3. Initial Inspection and Visualization.mp436.34 MB
  40. 11. Financial Data Analysis with Pandas - an Introduction/3. Initial Inspection and Visualization.srt6.06 KB
  41. 11. Financial Data Analysis with Pandas - an Introduction/4. Normalizing Time Series to a Base Value (100).mp437.36 MB
  42. 11. Financial Data Analysis with Pandas - an Introduction/4. Normalizing Time Series to a Base Value (100).srt7.66 KB
  43. 11. Financial Data Analysis with Pandas - an Introduction/5. The shift() method.mp429.49 MB
  44. 11. Financial Data Analysis with Pandas - an Introduction/5. The shift() method.srt8.69 KB
  45. 11. Financial Data Analysis with Pandas - an Introduction/6. The methods diff() and pct_change().mp432.71 MB
  46. 11. Financial Data Analysis with Pandas - an Introduction/6. The methods diff() and pct_change().srt8.36 KB
  47. 11. Financial Data Analysis with Pandas - an Introduction/7. Measuring Stock Performance with MEAN Returns and STD of Returns.mp434.87 MB
  48. 11. Financial Data Analysis with Pandas - an Introduction/7. Measuring Stock Performance with MEAN Returns and STD of Returns.srt10.77 KB
  49. 11. Financial Data Analysis with Pandas - an Introduction/8. Financial Time Series - Return and Risk.mp444.93 MB
  50. 11. Financial Data Analysis with Pandas - an Introduction/8. Financial Time Series - Return and Risk.srt10.35 KB
  51. 11. Financial Data Analysis with Pandas - an Introduction/9. Financial Time Series - Covariance and Correlation.mp421.04 MB
  52. 11. Financial Data Analysis with Pandas - an Introduction/9. Financial Time Series - Covariance and Correlation.srt5.51 KB
  53. 12. Advanced Topics/1. Helpful DatetimeIndex Attributes and Methods.mp437.38 MB
  54. 12. Advanced Topics/1. Helpful DatetimeIndex Attributes and Methods.srt7.22 KB
  55. 12. Advanced Topics/2. Filling NA Values with bfill, ffill and interpolation.mp468.43 MB
  56. 12. Advanced Topics/2. Filling NA Values with bfill, ffill and interpolation.srt11.98 KB
  57. 12. Advanced Topics/3. Timezones and Converting (Part 1).mp429.36 MB
  58. 12. Advanced Topics/3. Timezones and Converting (Part 1).srt5.37 KB
  59. 12. Advanced Topics/4. Timezones and Converting (Part 2).mp436.91 MB
  60. 12. Advanced Topics/4. Timezones and Converting (Part 2).srt5.53 KB
  61. 13. Object Oriented Programming (OOP) Creating a Financial Analysis Class/1. Introduction to OOP and examples for Classes.mp463.75 MB
  62. 13. Object Oriented Programming (OOP) Creating a Financial Analysis Class/1. Introduction to OOP and examples for Classes.srt12.26 KB
  63. 13. Object Oriented Programming (OOP) Creating a Financial Analysis Class/1.1 OOP.pdf479.50 KB
  64. 13. Object Oriented Programming (OOP) Creating a Financial Analysis Class/10. The method set_ticker().mp425.15 MB
  65. 13. Object Oriented Programming (OOP) Creating a Financial Analysis Class/10. The method set_ticker().srt3.43 KB
  66. 13. Object Oriented Programming (OOP) Creating a Financial Analysis Class/11. Adding more methods and performance metrics.mp445.38 MB
  67. 13. Object Oriented Programming (OOP) Creating a Financial Analysis Class/11. Adding more methods and performance metrics.srt6.49 KB
  68. 13. Object Oriented Programming (OOP) Creating a Financial Analysis Class/12. Inheritance.mp478.88 MB
  69. 13. Object Oriented Programming (OOP) Creating a Financial Analysis Class/12. Inheritance.srt9.35 KB
  70. 13. Object Oriented Programming (OOP) Creating a Financial Analysis Class/13. Inheritance and the super() Function.mp453.87 MB
  71. 13. Object Oriented Programming (OOP) Creating a Financial Analysis Class/13. Inheritance and the super() Function.srt7.12 KB
  72. 13. Object Oriented Programming (OOP) Creating a Financial Analysis Class/14. Adding meaningful Docstrings.mp450.03 MB
  73. 13. Object Oriented Programming (OOP) Creating a Financial Analysis Class/14. Adding meaningful Docstrings.srt7.38 KB
  74. 13. Object Oriented Programming (OOP) Creating a Financial Analysis Class/15. Creating and Importing Python Modules (.py).mp420.80 MB
  75. 13. Object Oriented Programming (OOP) Creating a Financial Analysis Class/15. Creating and Importing Python Modules (.py).srt4.25 KB
  76. 13. Object Oriented Programming (OOP) Creating a Financial Analysis Class/16. Coding Exercise 3 Create your own Class.mp437.05 MB
  77. 13. Object Oriented Programming (OOP) Creating a Financial Analysis Class/16. Coding Exercise 3 Create your own Class.srt8.12 KB
  78. 13. Object Oriented Programming (OOP) Creating a Financial Analysis Class/2. The Financial Analysis Class live in action (Part 1).mp427.26 MB
  79. 13. Object Oriented Programming (OOP) Creating a Financial Analysis Class/2. The Financial Analysis Class live in action (Part 1).srt5.24 KB
  80. 13. Object Oriented Programming (OOP) Creating a Financial Analysis Class/3. The Financial Analysis Class live in action (Part 2).mp419.75 MB
  81. 13. Object Oriented Programming (OOP) Creating a Financial Analysis Class/3. The Financial Analysis Class live in action (Part 2).srt4.05 KB
  82. 13. Object Oriented Programming (OOP) Creating a Financial Analysis Class/4. The special method __init__().mp435.03 MB
  83. 13. Object Oriented Programming (OOP) Creating a Financial Analysis Class/4. The special method __init__().srt9.03 KB
  84. 13. Object Oriented Programming (OOP) Creating a Financial Analysis Class/5. The method get_data().mp442.74 MB
  85. 13. Object Oriented Programming (OOP) Creating a Financial Analysis Class/5. The method get_data().srt6.78 KB
  86. 13. Object Oriented Programming (OOP) Creating a Financial Analysis Class/6. The method log_returns().mp422.98 MB
  87. 13. Object Oriented Programming (OOP) Creating a Financial Analysis Class/6. The method log_returns().srt3.51 KB
  88. 13. Object Oriented Programming (OOP) Creating a Financial Analysis Class/7. String representation and the special method __repr__().mp422.13 MB
  89. 13. Object Oriented Programming (OOP) Creating a Financial Analysis Class/7. String representation and the special method __repr__().srt3.89 KB
  90. 13. Object Oriented Programming (OOP) Creating a Financial Analysis Class/8. The methods plot_prices() and plot_returns().mp434.11 MB
  91. 13. Object Oriented Programming (OOP) Creating a Financial Analysis Class/8. The methods plot_prices() and plot_returns().srt5.87 KB
  92. 13. Object Oriented Programming (OOP) Creating a Financial Analysis Class/9. Encapsulation and protected Attributes.mp424.06 MB
  93. 13. Object Oriented Programming (OOP) Creating a Financial Analysis Class/9. Encapsulation and protected Attributes.srt4.37 KB
  94. 14. +++ PART 3 Defining and Testing Trading Strategies +++/1. Introduction to Part 3.mp441.33 MB
  95. 14. +++ PART 3 Defining and Testing Trading Strategies +++/1. Introduction to Part 3.srt7.97 KB
  96. 14. +++ PART 3 Defining and Testing Trading Strategies +++/2. Trading Strategies - an Overview.mp446.94 MB
  97. 14. +++ PART 3 Defining and Testing Trading Strategies +++/2. Trading Strategies - an Overview.srt7.88 KB
  98. 14. +++ PART 3 Defining and Testing Trading Strategies +++/2.1 strategy_overview.pdf401.07 KB
  99. 14. +++ PART 3 Defining and Testing Trading Strategies +++/3. Downloads for Part 3.html123 bytes
  100. 14. +++ PART 3 Defining and Testing Trading Strategies +++/3.1 Part3_Materials.zip2.24 MB
  101. 14. +++ PART 3 Defining and Testing Trading Strategies +++/4. Getting the Data.mp420.26 MB
  102. 14. +++ PART 3 Defining and Testing Trading Strategies +++/4. Getting the Data.srt4.54 KB
  103. 14. +++ PART 3 Defining and Testing Trading Strategies +++/5. A simple Buy and Hold Strategy.mp426.11 MB
  104. 14. +++ PART 3 Defining and Testing Trading Strategies +++/5. A simple Buy and Hold Strategy.srt5.88 KB
  105. 14. +++ PART 3 Defining and Testing Trading Strategies +++/6. Performance Metrics.mp438.07 MB
  106. 14. +++ PART 3 Defining and Testing Trading Strategies +++/6. Performance Metrics.srt7.36 KB
  107. 15. Defining and Backtesting SMA Strategies/1. SMA Crossover Strategies - Overview.mp444.01 MB
  108. 15. Defining and Backtesting SMA Strategies/1. SMA Crossover Strategies - Overview.srt5.64 KB
  109. 15. Defining and Backtesting SMA Strategies/10. Creating the Class (Part 5).mp421.08 MB
  110. 15. Defining and Backtesting SMA Strategies/10. Creating the Class (Part 5).srt3.16 KB
  111. 15. Defining and Backtesting SMA Strategies/11. Creating the Class (Part 6).mp436.35 MB
  112. 15. Defining and Backtesting SMA Strategies/11. Creating the Class (Part 6).srt5.40 KB
  113. 15. Defining and Backtesting SMA Strategies/12. Creating the Class (Part 7).mp425.10 MB
  114. 15. Defining and Backtesting SMA Strategies/12. Creating the Class (Part 7).srt3.14 KB
  115. 15. Defining and Backtesting SMA Strategies/13. Creating the Class (Part 8).mp432.75 MB
  116. 15. Defining and Backtesting SMA Strategies/13. Creating the Class (Part 8).srt5.14 KB
  117. 15. Defining and Backtesting SMA Strategies/2. Defining an SMA Crossover Strategy.mp443.69 MB
  118. 15. Defining and Backtesting SMA Strategies/2. Defining an SMA Crossover Strategy.srt7.70 KB
  119. 15. Defining and Backtesting SMA Strategies/3. Vectorized Strategy Backtesting.mp458.33 MB
  120. 15. Defining and Backtesting SMA Strategies/3. Vectorized Strategy Backtesting.srt9.54 KB
  121. 15. Defining and Backtesting SMA Strategies/4. Finding the optimal SMA Strategy.mp482.77 MB
  122. 15. Defining and Backtesting SMA Strategies/4. Finding the optimal SMA Strategy.srt12.60 KB
  123. 15. Defining and Backtesting SMA Strategies/5. Generalization with OOP An SMA Backtesting Class in action.mp473.61 MB
  124. 15. Defining and Backtesting SMA Strategies/5. Generalization with OOP An SMA Backtesting Class in action.srt11.36 KB
  125. 15. Defining and Backtesting SMA Strategies/6. Creating the Class (Part 1).mp420.26 MB
  126. 15. Defining and Backtesting SMA Strategies/6. Creating the Class (Part 1).srt3.85 KB
  127. 15. Defining and Backtesting SMA Strategies/7. Creating the Class (Part 2).mp465.52 MB
  128. 15. Defining and Backtesting SMA Strategies/7. Creating the Class (Part 2).srt8.25 KB
  129. 15. Defining and Backtesting SMA Strategies/8. Creating the Class (Part 3).mp439.38 MB
  130. 15. Defining and Backtesting SMA Strategies/8. Creating the Class (Part 3).srt7.31 KB
  131. 15. Defining and Backtesting SMA Strategies/9. Creating the Class (Part 4).mp438.46 MB
  132. 15. Defining and Backtesting SMA Strategies/9. Creating the Class (Part 4).srt5.49 KB
  133. 16. Defining and Backtesting simple MomentumContrarian Strategies/1. Simple ContrarianMomentum Strategies - Overview.mp419.97 MB
  134. 16. Defining and Backtesting simple MomentumContrarian Strategies/1. Simple ContrarianMomentum Strategies - Overview.srt4.39 KB
  135. 16. Defining and Backtesting simple MomentumContrarian Strategies/10. OOP Challenge Create the Contrarian Backtesting Class (incl. Solution).mp40 bytes
  136. 16. Defining and Backtesting simple MomentumContrarian Strategies/10. OOP Challenge Create the Contrarian Backtesting Class (incl. Solution).srt0 bytes
  137. 16. Defining and Backtesting simple MomentumContrarian Strategies/2. Getting the Data.mp415.39 MB
  138. 16. Defining and Backtesting simple MomentumContrarian Strategies/2. Getting the Data.srt2.88 KB
  139. 16. Defining and Backtesting simple MomentumContrarian Strategies/3. Excursus Your FAQs answered.mp431.16 MB
  140. 16. Defining and Backtesting simple MomentumContrarian Strategies/3. Excursus Your FAQs answered.srt5.09 KB
  141. 16. Defining and Backtesting simple MomentumContrarian Strategies/4. Defining a simple Contrarian Strategy.mp421.46 MB
  142. 16. Defining and Backtesting simple MomentumContrarian Strategies/4. Defining a simple Contrarian Strategy.srt3.80 KB
  143. 16. Defining and Backtesting simple MomentumContrarian Strategies/5. Vectorized Strategy Backtesting.mp428.93 MB
  144. 16. Defining and Backtesting simple MomentumContrarian Strategies/5. Vectorized Strategy Backtesting.srt4.79 KB
  145. 16. Defining and Backtesting simple MomentumContrarian Strategies/6. Changing the Window Parameter.mp439.18 MB
  146. 16. Defining and Backtesting simple MomentumContrarian Strategies/6. Changing the Window Parameter.srt6.10 KB
  147. 16. Defining and Backtesting simple MomentumContrarian Strategies/7. Trades and Trading Costs (Part 1).mp459.04 MB
  148. 16. Defining and Backtesting simple MomentumContrarian Strategies/7. Trades and Trading Costs (Part 1).srt10.02 KB
  149. 16. Defining and Backtesting simple MomentumContrarian Strategies/8. Trades and Trading Costs (Part 2).mp421.94 MB
  150. 16. Defining and Backtesting simple MomentumContrarian Strategies/8. Trades and Trading Costs (Part 2).srt3.43 KB
  151. 16. Defining and Backtesting simple MomentumContrarian Strategies/9. Generalization with OOP A Contrarian Backtesting Class in action.mp460.65 MB
  152. 16. Defining and Backtesting simple MomentumContrarian Strategies/9. Generalization with OOP A Contrarian Backtesting Class in action.srt8.84 KB
  153. 17. Defining and Backtesting Mean-Reversion Strategies (Bollinger)/1. Mean-Reversion Strategies - Overview.mp451.41 MB
  154. 17. Defining and Backtesting Mean-Reversion Strategies (Bollinger)/1. Mean-Reversion Strategies - Overview.srt6.54 KB
  155. 17. Defining and Backtesting Mean-Reversion Strategies (Bollinger)/2. Getting the Data.mp411.62 MB
  156. 17. Defining and Backtesting Mean-Reversion Strategies (Bollinger)/2. Getting the Data.srt2.21 KB
  157. 17. Defining and Backtesting Mean-Reversion Strategies (Bollinger)/3. Defining a Bollinger Bands Mean-Reversion Strategy (Part 1).mp429.79 MB
  158. 17. Defining and Backtesting Mean-Reversion Strategies (Bollinger)/3. Defining a Bollinger Bands Mean-Reversion Strategy (Part 1).srt4.99 KB
  159. 17. Defining and Backtesting Mean-Reversion Strategies (Bollinger)/4. Defining a Bollinger Bands Mean-Reversion Strategy (Part 2).mp470.65 MB
  160. 17. Defining and Backtesting Mean-Reversion Strategies (Bollinger)/4. Defining a Bollinger Bands Mean-Reversion Strategy (Part 2).srt10.09 KB
  161. 17. Defining and Backtesting Mean-Reversion Strategies (Bollinger)/5. Vectorized Strategy Backtesting.mp440.20 MB
  162. 17. Defining and Backtesting Mean-Reversion Strategies (Bollinger)/5. Vectorized Strategy Backtesting.srt6.39 KB
  163. 17. Defining and Backtesting Mean-Reversion Strategies (Bollinger)/6. Generalization with OOP A Bollinger Bands Backtesting Class in action.mp40 bytes
  164. 17. Defining and Backtesting Mean-Reversion Strategies (Bollinger)/6. Generalization with OOP A Bollinger Bands Backtesting Class in action.srt0 bytes
  165. 17. Defining and Backtesting Mean-Reversion Strategies (Bollinger)/7. OOP Challenge Create the Bollinger Bands Backtesting Class (incl. Solution).mp40 bytes
  166. 17. Defining and Backtesting Mean-Reversion Strategies (Bollinger)/7. OOP Challenge Create the Bollinger Bands Backtesting Class (incl. Solution).srt0 bytes
  167. 18. Trading Strategies powered by Machine Learning - Regression/1. Machine Learning - an Overview.mp442.53 MB
  168. 18. Trading Strategies powered by Machine Learning - Regression/1. Machine Learning - an Overview.srt7.89 KB
  169. 18. Trading Strategies powered by Machine Learning - Regression/1.1 ML.pdf492.27 KB
  170. 18. Trading Strategies powered by Machine Learning - Regression/10. In-Sample Backtesting and the Look-ahead-bias.mp420.18 MB
  171. 18. Trading Strategies powered by Machine Learning - Regression/10. In-Sample Backtesting and the Look-ahead-bias.srt4.60 KB
  172. 18. Trading Strategies powered by Machine Learning - Regression/11. Out-Sample Forward Testing.mp430.44 MB
  173. 18. Trading Strategies powered by Machine Learning - Regression/11. Out-Sample Forward Testing.srt4.90 KB
  174. 18. Trading Strategies powered by Machine Learning - Regression/2. Linear Regression with scikit-learn - a simple Introduction.mp448.30 MB
  175. 18. Trading Strategies powered by Machine Learning - Regression/2. Linear Regression with scikit-learn - a simple Introduction.srt9.18 KB
  176. 18. Trading Strategies powered by Machine Learning - Regression/3. Making Predictions with Linear Regression.mp416.24 MB
  177. 18. Trading Strategies powered by Machine Learning - Regression/3. Making Predictions with Linear Regression.srt3.78 KB
  178. 18. Trading Strategies powered by Machine Learning - Regression/4. Overfitting.mp438.40 MB
  179. 18. Trading Strategies powered by Machine Learning - Regression/4. Overfitting.srt7.30 KB
  180. 18. Trading Strategies powered by Machine Learning - Regression/5. Underfitting.mp423.56 MB
  181. 18. Trading Strategies powered by Machine Learning - Regression/5. Underfitting.srt4.49 KB
  182. 18. Trading Strategies powered by Machine Learning - Regression/6. Getting the Data.mp49.50 MB
  183. 18. Trading Strategies powered by Machine Learning - Regression/6. Getting the Data.srt1.83 KB
  184. 18. Trading Strategies powered by Machine Learning - Regression/7. A simple Linear Model to predict Financial Returns (Part 1).mp417.79 MB
  185. 18. Trading Strategies powered by Machine Learning - Regression/7. A simple Linear Model to predict Financial Returns (Part 1).srt3.99 KB
  186. 18. Trading Strategies powered by Machine Learning - Regression/8. A simple Linear Model to predict Financial Returns (Part 2).mp442.74 MB
  187. 18. Trading Strategies powered by Machine Learning - Regression/8. A simple Linear Model to predict Financial Returns (Part 2).srt7.40 KB
  188. 18. Trading Strategies powered by Machine Learning - Regression/9. A Multiple Regression Model to predict Financial Returns.mp436.68 MB
  189. 18. Trading Strategies powered by Machine Learning - Regression/9. A Multiple Regression Model to predict Financial Returns.srt6.50 KB
  190. 18. Trading Strategies powered by Machine Learning - Regression/GetFreeCourses.Co.url116 bytes
  191. 18. Trading Strategies powered by Machine Learning - Regression/How you can help GetFreeCourses.Co.txt182 bytes
  192. 19. Trading Strategies powered by Machine Learning - Classification/1. Logistic Regression with scikit-learn - a simple Introduction (Part 1).mp40 bytes
  193. 19. Trading Strategies powered by Machine Learning - Classification/1. Logistic Regression with scikit-learn - a simple Introduction (Part 1).srt0 bytes
  194. 19. Trading Strategies powered by Machine Learning - Classification/2. Logistic Regression with scikit-learn - a simple Introduction (Part 2).mp40 bytes
  195. 19. Trading Strategies powered by Machine Learning - Classification/2. Logistic Regression with scikit-learn - a simple Introduction (Part 2).srt0 bytes
  196. 19. Trading Strategies powered by Machine Learning - Classification/3. Getting and Preparing the Data.mp417.03 MB
  197. 19. Trading Strategies powered by Machine Learning - Classification/3. Getting and Preparing the Data.srt3.52 KB
  198. 19. Trading Strategies powered by Machine Learning - Classification/4. Predicting Market Direction with Logistic Regression.mp427.44 MB
  199. 19. Trading Strategies powered by Machine Learning - Classification/4. Predicting Market Direction with Logistic Regression.srt3.85 KB
  200. 19. Trading Strategies powered by Machine Learning - Classification/5. In-Sample Backtesting and the Look-ahead-bias.mp414.19 MB
  201. 19. Trading Strategies powered by Machine Learning - Classification/5. In-Sample Backtesting and the Look-ahead-bias.srt2.88 KB
  202. 19. Trading Strategies powered by Machine Learning - Classification/6. Out-Sample Forward Testing.mp420.11 MB
  203. 19. Trading Strategies powered by Machine Learning - Classification/6. Out-Sample Forward Testing.srt3.58 KB
  204. 19. Trading Strategies powered by Machine Learning - Classification/7. Generalization with OOP A Classification Backtesting Class in action.mp40 bytes
  205. 19. Trading Strategies powered by Machine Learning - Classification/7. Generalization with OOP A Classification Backtesting Class in action.srt0 bytes
  206. 19. Trading Strategies powered by Machine Learning - Classification/8. The Classification Backtesting Class explained (Part 1).mp454.45 MB
  207. 19. Trading Strategies powered by Machine Learning - Classification/8. The Classification Backtesting Class explained (Part 1).srt8.13 KB
  208. 19. Trading Strategies powered by Machine Learning - Classification/9. The Classification Backtesting Class explained (Part 2).mp435.22 MB
  209. 19. Trading Strategies powered by Machine Learning - Classification/9. The Classification Backtesting Class explained (Part 2).srt4.88 KB
  210. 2. +++ PART 1 Day Trading, Online Brokers and APIs +++/1. Our very first Trade.mp413.90 MB
  211. 2. +++ PART 1 Day Trading, Online Brokers and APIs +++/1. Our very first Trade.srt2.14 KB
  212. 2. +++ PART 1 Day Trading, Online Brokers and APIs +++/2. Long Term Investing vs. (Algorithmic) Day Trading.mp430.90 MB
  213. 2. +++ PART 1 Day Trading, Online Brokers and APIs +++/2. Long Term Investing vs. (Algorithmic) Day Trading.srt5.56 KB
  214. 2. +++ PART 1 Day Trading, Online Brokers and APIs +++/2.1 Trading_vs_investing.pdf529.76 KB
  215. 2. +++ PART 1 Day Trading, Online Brokers and APIs +++/3. Spot Trading vs. Derivatives Trading (Part 1).mp457.79 MB
  216. 2. +++ PART 1 Day Trading, Online Brokers and APIs +++/3. Spot Trading vs. Derivatives Trading (Part 1).srt10.00 KB
  217. 2. +++ PART 1 Day Trading, Online Brokers and APIs +++/3.1 Spot_vs_Futures.pdf253.73 KB
  218. 2. +++ PART 1 Day Trading, Online Brokers and APIs +++/4. Spot Trading vs. Derivatives Trading (Part 2).mp467.47 MB
  219. 2. +++ PART 1 Day Trading, Online Brokers and APIs +++/4. Spot Trading vs. Derivatives Trading (Part 2).srt10.19 KB
  220. 2. +++ PART 1 Day Trading, Online Brokers and APIs +++/5. Overview & the Brokers OANDA and FXCM.mp430.27 MB
  221. 2. +++ PART 1 Day Trading, Online Brokers and APIs +++/5. Overview & the Brokers OANDA and FXCM.srt5.98 KB
  222. 2. +++ PART 1 Day Trading, Online Brokers and APIs +++/5.1 Brokers.pdf553.71 KB
  223. 20. Advanced Backtesting Techniques/1. Introduction to Iterative Backtesting (event-driven).mp430.12 MB
  224. 20. Advanced Backtesting Techniques/1. Introduction to Iterative Backtesting (event-driven).srt5.01 KB
  225. 20. Advanced Backtesting Techniques/1.1 Event_Driven_BT.pdf385.67 KB
  226. 20. Advanced Backtesting Techniques/10. Creating an Iterative Base Class (Part 7).mp450.40 MB
  227. 20. Advanced Backtesting Techniques/10. Creating an Iterative Base Class (Part 7).srt7.50 KB
  228. 20. Advanced Backtesting Techniques/11. Creating an Iterative Base Class (Part 8).mp456.36 MB
  229. 20. Advanced Backtesting Techniques/11. Creating an Iterative Base Class (Part 8).srt6.97 KB
  230. 20. Advanced Backtesting Techniques/12. Adding the Iterative Backtest Child Class for SMA (Part 1).mp453.08 MB
  231. 20. Advanced Backtesting Techniques/12. Adding the Iterative Backtest Child Class for SMA (Part 1).srt6.50 KB
  232. 20. Advanced Backtesting Techniques/13. Adding the Iterative Backtest Child Class for SMA (Part 2).mp478.37 MB
  233. 20. Advanced Backtesting Techniques/13. Adding the Iterative Backtest Child Class for SMA (Part 2).srt9.92 KB
  234. 20. Advanced Backtesting Techniques/14. Using Modules and adding Docstrings.mp438.88 MB
  235. 20. Advanced Backtesting Techniques/14. Using Modules and adding Docstrings.srt5.60 KB
  236. 20. Advanced Backtesting Techniques/15. OOP Challenge Add Contrarian and Bollinger Strategies.mp465.82 MB
  237. 20. Advanced Backtesting Techniques/15. OOP Challenge Add Contrarian and Bollinger Strategies.srt7.93 KB
  238. 20. Advanced Backtesting Techniques/2. A first Intuition on Iterative Backtesting (Part 1).mp434.82 MB
  239. 20. Advanced Backtesting Techniques/2. A first Intuition on Iterative Backtesting (Part 1).srt6.78 KB
  240. 20. Advanced Backtesting Techniques/3. A first Intuition on Iterative Backtesting (Part 2).mp438.02 MB
  241. 20. Advanced Backtesting Techniques/3. A first Intuition on Iterative Backtesting (Part 2).srt5.78 KB
  242. 20. Advanced Backtesting Techniques/4. Creating an Iterative Base Class (Part 1).mp427.18 MB
  243. 20. Advanced Backtesting Techniques/4. Creating an Iterative Base Class (Part 1).srt5.16 KB
  244. 20. Advanced Backtesting Techniques/5. Creating an Iterative Base Class (Part 2).mp416.92 MB
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  246. 20. Advanced Backtesting Techniques/6. Creating an Iterative Base Class (Part 3).mp415.15 MB
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  248. 20. Advanced Backtesting Techniques/7. Creating an Iterative Base Class (Part 4).mp449.37 MB
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  250. 20. Advanced Backtesting Techniques/8. Creating an Iterative Base Class (Part 5).mp439.36 MB
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  252. 20. Advanced Backtesting Techniques/9. Creating an Iterative Base Class (Part 6).mp433.79 MB
  253. 20. Advanced Backtesting Techniques/9. Creating an Iterative Base Class (Part 6).srt4.70 KB
  254. 21. +++ PART 4 Real-time Implementation and Automation of Strategies +++/1. Introduction and Overview.mp410.78 MB
  255. 21. +++ PART 4 Real-time Implementation and Automation of Strategies +++/1. Introduction and Overview.srt2.17 KB
  256. 21. +++ PART 4 Real-time Implementation and Automation of Strategies +++/2. Downloads for Part 4.html123 bytes
  257. 21. +++ PART 4 Real-time Implementation and Automation of Strategies +++/2.1 Part4_Materials.zip736.39 KB
  258. 22. Implementation and Automation with OANDA (UPDATED!)/1. Updating the Wrapper Package (Part 1).html359 bytes
  259. 22. Implementation and Automation with OANDA (UPDATED!)/10. Storing and resampling real-time tick data (Part 4).mp464.12 MB
  260. 22. Implementation and Automation with OANDA (UPDATED!)/10. Storing and resampling real-time tick data (Part 4).srt8.80 KB
  261. 22. Implementation and Automation with OANDA (UPDATED!)/11. Storing and resampling real-time tick data (Part 5).mp430.87 MB
  262. 22. Implementation and Automation with OANDA (UPDATED!)/11. Storing and resampling real-time tick data (Part 5).srt4.44 KB
  263. 22. Implementation and Automation with OANDA (UPDATED!)/12. Working with historical data and real-time tick data (Part 1).mp449.43 MB
  264. 22. Implementation and Automation with OANDA (UPDATED!)/12. Working with historical data and real-time tick data (Part 1).srt9.23 KB
  265. 22. Implementation and Automation with OANDA (UPDATED!)/13. Working with historical data and real-time tick data (Part 2).mp449.06 MB
  266. 22. Implementation and Automation with OANDA (UPDATED!)/13. Working with historical data and real-time tick data (Part 2).srt7.19 KB
  267. 22. Implementation and Automation with OANDA (UPDATED!)/14. Working with historical data and real-time tick data (Part 3).mp430.04 MB
  268. 22. Implementation and Automation with OANDA (UPDATED!)/14. Working with historical data and real-time tick data (Part 3).srt4.07 KB
  269. 22. Implementation and Automation with OANDA (UPDATED!)/15. Defining a simple Contrarian Strategy.mp451.66 MB
  270. 22. Implementation and Automation with OANDA (UPDATED!)/15. Defining a simple Contrarian Strategy.srt6.61 KB
  271. 22. Implementation and Automation with OANDA (UPDATED!)/16. Placing Orders and Executing Trades.mp457.49 MB
  272. 22. Implementation and Automation with OANDA (UPDATED!)/16. Placing Orders and Executing Trades.srt6.69 KB
  273. 22. Implementation and Automation with OANDA (UPDATED!)/17. Trade Monitoring and Reporting.mp484.56 MB
  274. 22. Implementation and Automation with OANDA (UPDATED!)/17. Trade Monitoring and Reporting.srt9.20 KB
  275. 22. Implementation and Automation with OANDA (UPDATED!)/18. Trading other Strategies - Coding Challenge.mp412.56 MB
  276. 22. Implementation and Automation with OANDA (UPDATED!)/18. Trading other Strategies - Coding Challenge.srt2.09 KB
  277. 22. Implementation and Automation with OANDA (UPDATED!)/19. Implementing an SMA Crossover Strategy (Solution).mp437.04 MB
  278. 22. Implementation and Automation with OANDA (UPDATED!)/19. Implementing an SMA Crossover Strategy (Solution).srt4.25 KB
  279. 22. Implementation and Automation with OANDA (UPDATED!)/2. Updating the Wrapper Package (Part 2).mp425.41 MB
  280. 22. Implementation and Automation with OANDA (UPDATED!)/2. Updating the Wrapper Package (Part 2).srt3.27 KB
  281. 22. Implementation and Automation with OANDA (UPDATED!)/20. Implementing a Bollinger Bands Strategy (Solution).mp430.40 MB
  282. 22. Implementation and Automation with OANDA (UPDATED!)/20. Implementing a Bollinger Bands Strategy (Solution).srt3.34 KB
  283. 22. Implementation and Automation with OANDA (UPDATED!)/21. Machine Learning Strategies (1) - Model Fitting.mp433.75 MB
  284. 22. Implementation and Automation with OANDA (UPDATED!)/21. Machine Learning Strategies (1) - Model Fitting.srt6.41 KB
  285. 22. Implementation and Automation with OANDA (UPDATED!)/22. Machine Learning Strategies (2) - Implementation.mp461.58 MB
  286. 22. Implementation and Automation with OANDA (UPDATED!)/22. Machine Learning Strategies (2) - Implementation.srt7.28 KB
  287. 22. Implementation and Automation with OANDA (UPDATED!)/23. Importing a Trader Module Class.mp419.19 MB
  288. 22. Implementation and Automation with OANDA (UPDATED!)/23. Importing a Trader Module Class.srt2.87 KB
  289. 22. Implementation and Automation with OANDA (UPDATED!)/24. Excursus Printing all ticks in a Command PromptTerminal.html533 bytes
  290. 22. Implementation and Automation with OANDA (UPDATED!)/25. Running a Python Trader Script.mp458.72 MB
  291. 22. Implementation and Automation with OANDA (UPDATED!)/25. Running a Python Trader Script.srt7.20 KB
  292. 22. Implementation and Automation with OANDA (UPDATED!)/3. Weekend and Bank Holiday Alert.html381 bytes
  293. 22. Implementation and Automation with OANDA (UPDATED!)/4. Historical Data, real-time Data and Orders (Recap).mp472.76 MB
  294. 22. Implementation and Automation with OANDA (UPDATED!)/4. Historical Data, real-time Data and Orders (Recap).srt9.92 KB
  295. 22. Implementation and Automation with OANDA (UPDATED!)/5. Preview A Trader Class live in action.mp447.96 MB
  296. 22. Implementation and Automation with OANDA (UPDATED!)/5. Preview A Trader Class live in action.srt5.79 KB
  297. 22. Implementation and Automation with OANDA (UPDATED!)/6. How to collect and store real-time tick data.mp440.41 MB
  298. 22. Implementation and Automation with OANDA (UPDATED!)/6. How to collect and store real-time tick data.srt6.29 KB
  299. 22. Implementation and Automation with OANDA (UPDATED!)/7. Storing and resampling real-time tick data (Part 1).mp459.83 MB
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  301. 22. Implementation and Automation with OANDA (UPDATED!)/8. Storing and resampling real-time tick data (Part 2).mp445.99 MB
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  303. 22. Implementation and Automation with OANDA (UPDATED!)/9. Storing and resampling real-time tick data (Part 3).mp432.13 MB
  304. 22. Implementation and Automation with OANDA (UPDATED!)/9. Storing and resampling real-time tick data (Part 3).srt5.24 KB
  305. 22. Implementation and Automation with OANDA (UPDATED!)/GetFreeCourses.Co.url116 bytes
  306. 22. Implementation and Automation with OANDA (UPDATED!)/How you can help GetFreeCourses.Co.txt182 bytes
  307. 23. Implementation and Automation with FXCM (Updated!)/1. Weekend and Bank Holiday Alert.html381 bytes
  308. 23. Implementation and Automation with FXCM (Updated!)/10. Working with historical data and real-time tick data (Part 1).mp434.52 MB
  309. 23. Implementation and Automation with FXCM (Updated!)/10. Working with historical data and real-time tick data (Part 1).srt6.72 KB
  310. 23. Implementation and Automation with FXCM (Updated!)/11. Working with historical data and real-time tick data (Part 2).mp449.57 MB
  311. 23. Implementation and Automation with FXCM (Updated!)/11. Working with historical data and real-time tick data (Part 2).srt6.27 KB
  312. 23. Implementation and Automation with FXCM (Updated!)/12. Working with historical data and real-time tick data (Part 3).mp429.94 MB
  313. 23. Implementation and Automation with FXCM (Updated!)/12. Working with historical data and real-time tick data (Part 3).srt3.98 KB
  314. 23. Implementation and Automation with FXCM (Updated!)/13. Defining a Simple Contrarian Trading Strategy.mp442.25 MB
  315. 23. Implementation and Automation with FXCM (Updated!)/13. Defining a Simple Contrarian Trading Strategy.srt5.48 KB
  316. 23. Implementation and Automation with FXCM (Updated!)/14. Placing Orders and Executing Trades.mp458.21 MB
  317. 23. Implementation and Automation with FXCM (Updated!)/14. Placing Orders and Executing Trades.srt8.30 KB
  318. 23. Implementation and Automation with FXCM (Updated!)/15. Trade Monitoring and Reporting.mp456.16 MB
  319. 23. Implementation and Automation with FXCM (Updated!)/15. Trade Monitoring and Reporting.srt6.71 KB
  320. 23. Implementation and Automation with FXCM (Updated!)/16. Trading other Strategies - Coding Challenge.mp414.07 MB
  321. 23. Implementation and Automation with FXCM (Updated!)/16. Trading other Strategies - Coding Challenge.srt2.19 KB
  322. 23. Implementation and Automation with FXCM (Updated!)/17. SMA Crossover and Bollinger Bands (Solution).mp441.79 MB
  323. 23. Implementation and Automation with FXCM (Updated!)/17. SMA Crossover and Bollinger Bands (Solution).srt4.83 KB
  324. 23. Implementation and Automation with FXCM (Updated!)/18. Machine Learning Strategies (1) - Model Fitting.mp433.86 MB
  325. 23. Implementation and Automation with FXCM (Updated!)/18. Machine Learning Strategies (1) - Model Fitting.srt6.41 KB
  326. 23. Implementation and Automation with FXCM (Updated!)/19. Machine Learning Strategies (2) - Implementation.mp453.91 MB
  327. 23. Implementation and Automation with FXCM (Updated!)/19. Machine Learning Strategies (2) - Implementation.srt6.14 KB
  328. 23. Implementation and Automation with FXCM (Updated!)/2. Historical Data, real-time Data and Orders (Recap).mp465.82 MB
  329. 23. Implementation and Automation with FXCM (Updated!)/2. Historical Data, real-time Data and Orders (Recap).srt10.42 KB
  330. 23. Implementation and Automation with FXCM (Updated!)/20. Excursus Printing all ticks in a Command PromptTerminal.html533 bytes
  331. 23. Implementation and Automation with FXCM (Updated!)/21. Running a Python Script.mp447.66 MB
  332. 23. Implementation and Automation with FXCM (Updated!)/21. Running a Python Script.srt6.88 KB
  333. 23. Implementation and Automation with FXCM (Updated!)/3. Troubleshooting FXCM Server Connection Issues.html4.04 KB
  334. 23. Implementation and Automation with FXCM (Updated!)/4. Preview A Trader Class live in action.mp450.80 MB
  335. 23. Implementation and Automation with FXCM (Updated!)/4. Preview A Trader Class live in action.srt6.21 KB
  336. 23. Implementation and Automation with FXCM (Updated!)/5. Collecting and storing real-time tick data.mp453.99 MB
  337. 23. Implementation and Automation with FXCM (Updated!)/5. Collecting and storing real-time tick data.srt7.92 KB
  338. 23. Implementation and Automation with FXCM (Updated!)/6. Storing and resampling real-time tick data (Part 1).mp464.55 MB
  339. 23. Implementation and Automation with FXCM (Updated!)/6. Storing and resampling real-time tick data (Part 1).srt9.07 KB
  340. 23. Implementation and Automation with FXCM (Updated!)/7. A Trader Class.mp439.47 MB
  341. 23. Implementation and Automation with FXCM (Updated!)/7. A Trader Class.srt6.26 KB
  342. 23. Implementation and Automation with FXCM (Updated!)/8. Storing and resampling real-time tick data (Part 2).mp468.17 MB
  343. 23. Implementation and Automation with FXCM (Updated!)/8. Storing and resampling real-time tick data (Part 2).srt9.14 KB
  344. 23. Implementation and Automation with FXCM (Updated!)/9. Storing and resampling real-time tick data (Part 3).mp425.25 MB
  345. 23. Implementation and Automation with FXCM (Updated!)/9. Storing and resampling real-time tick data (Part 3).srt3.52 KB
  346. 24. Cloud Deployment (AWS) Scheduling Trading Sessions Full Automation/1. Introduction and Motivation.mp420.22 MB
  347. 24. Cloud Deployment (AWS) Scheduling Trading Sessions Full Automation/1. Introduction and Motivation.srt3.26 KB
  348. 24. Cloud Deployment (AWS) Scheduling Trading Sessions Full Automation/1.1 cloud.pdf366.36 KB
  349. 24. Cloud Deployment (AWS) Scheduling Trading Sessions Full Automation/10. How to schedule Trading sessions with the Task Scheduler.mp439.23 MB
  350. 24. Cloud Deployment (AWS) Scheduling Trading Sessions Full Automation/10. How to schedule Trading sessions with the Task Scheduler.srt5.02 KB
  351. 24. Cloud Deployment (AWS) Scheduling Trading Sessions Full Automation/11. How to stop Trading Sessions (OANDA).mp449.48 MB
  352. 24. Cloud Deployment (AWS) Scheduling Trading Sessions Full Automation/11. How to stop Trading Sessions (OANDA).srt7.08 KB
  353. 24. Cloud Deployment (AWS) Scheduling Trading Sessions Full Automation/12. How to stop Trading Sessions (FXCM).mp445.87 MB
  354. 24. Cloud Deployment (AWS) Scheduling Trading Sessions Full Automation/12. How to stop Trading Sessions (FXCM).srt5.58 KB
  355. 24. Cloud Deployment (AWS) Scheduling Trading Sessions Full Automation/2. Demonstration AWS EC2 for Algorithmic Trading live in action.mp40 bytes
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  357. 24. Cloud Deployment (AWS) Scheduling Trading Sessions Full Automation/3. Amazon Web Services (AWS) - Overview and how to create a Free Trial Account.mp40 bytes
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  359. 24. Cloud Deployment (AWS) Scheduling Trading Sessions Full Automation/4. How to create an EC2 Instance.mp471.79 MB
  360. 24. Cloud Deployment (AWS) Scheduling Trading Sessions Full Automation/4. How to create an EC2 Instance.srt8.94 KB
  361. 24. Cloud Deployment (AWS) Scheduling Trading Sessions Full Automation/5. How to connect to your EC2 Instance.mp433.13 MB
  362. 24. Cloud Deployment (AWS) Scheduling Trading Sessions Full Automation/5. How to connect to your EC2 Instance.srt4.40 KB
  363. 24. Cloud Deployment (AWS) Scheduling Trading Sessions Full Automation/6. Getting the Instance Ready for Algorithmic Trading.mp460.04 MB
  364. 24. Cloud Deployment (AWS) Scheduling Trading Sessions Full Automation/6. Getting the Instance Ready for Algorithmic Trading.srt6.61 KB
  365. 24. Cloud Deployment (AWS) Scheduling Trading Sessions Full Automation/7. Weekend and Bank Holiday Alert.html381 bytes
  366. 24. Cloud Deployment (AWS) Scheduling Trading Sessions Full Automation/8. How to run Python Scripts in a Windows Command Prompt.mp429.98 MB
  367. 24. Cloud Deployment (AWS) Scheduling Trading Sessions Full Automation/8. How to run Python Scripts in a Windows Command Prompt.srt3.80 KB
  368. 24. Cloud Deployment (AWS) Scheduling Trading Sessions Full Automation/9. How to start Trading sessions with Batch (.bat) Files.mp431.63 MB
  369. 24. Cloud Deployment (AWS) Scheduling Trading Sessions Full Automation/9. How to start Trading sessions with Batch (.bat) Files.srt4.15 KB
  370. 25. +++ PART 5 Expert Tips & Tricks, Case Studies and more +++/1. Overview.mp410.23 MB
  371. 25. +++ PART 5 Expert Tips & Tricks, Case Studies and more +++/1. Overview.srt2.21 KB
  372. 25. +++ PART 5 Expert Tips & Tricks, Case Studies and more +++/2. Downloads for PART 5.html123 bytes
  373. 25. +++ PART 5 Expert Tips & Tricks, Case Studies and more +++/2.1 Part5_Materials.zip1.76 MB
  374. 26. Trading Hours, Spreads and Granularity - control and limit Trading Costs!/1. Introduction and Preparing the Data.mp436.83 MB
  375. 26. Trading Hours, Spreads and Granularity - control and limit Trading Costs!/1. Introduction and Preparing the Data.srt6.05 KB
  376. 26. Trading Hours, Spreads and Granularity - control and limit Trading Costs!/2. The best time to trade (Part 1).mp419.04 MB
  377. 26. Trading Hours, Spreads and Granularity - control and limit Trading Costs!/2. The best time to trade (Part 1).srt3.70 KB
  378. 26. Trading Hours, Spreads and Granularity - control and limit Trading Costs!/3. The best time to trade (Part 2).mp419.06 MB
  379. 26. Trading Hours, Spreads and Granularity - control and limit Trading Costs!/3. The best time to trade (Part 2).srt3.74 KB
  380. 26. Trading Hours, Spreads and Granularity - control and limit Trading Costs!/4. Spreads during the busy hours.mp413.24 MB
  381. 26. Trading Hours, Spreads and Granularity - control and limit Trading Costs!/4. Spreads during the busy hours.srt2.05 KB
  382. 26. Trading Hours, Spreads and Granularity - control and limit Trading Costs!/5. The Impact of Granularity.mp428.19 MB
  383. 26. Trading Hours, Spreads and Granularity - control and limit Trading Costs!/5. The Impact of Granularity.srt4.78 KB
  384. 26. Trading Hours, Spreads and Granularity - control and limit Trading Costs!/6. Conclusions.mp418.02 MB
  385. 26. Trading Hours, Spreads and Granularity - control and limit Trading Costs!/6. Conclusions.srt2.40 KB
  386. 27. Working with two or many Strategies (Combination)/1. Introduction.mp411.47 MB
  387. 27. Working with two or many Strategies (Combination)/1. Introduction.srt2.55 KB
  388. 27. Working with two or many Strategies (Combination)/2. Strategy 1 SMA.mp413.27 MB
  389. 27. Working with two or many Strategies (Combination)/2. Strategy 1 SMA.srt2.72 KB
  390. 27. Working with two or many Strategies (Combination)/3. Strategy 2 Mean Reversion.mp414.55 MB
  391. 27. Working with two or many Strategies (Combination)/3. Strategy 2 Mean Reversion.srt2.83 KB
  392. 27. Working with two or many Strategies (Combination)/4. Combining both Strategies - Alternative 1.mp437.47 MB
  393. 27. Working with two or many Strategies (Combination)/4. Combining both Strategies - Alternative 1.srt6.41 KB
  394. 27. Working with two or many Strategies (Combination)/5. Taking into account busy Trading Hours.mp415.21 MB
  395. 27. Working with two or many Strategies (Combination)/5. Taking into account busy Trading Hours.srt2.95 KB
  396. 27. Working with two or many Strategies (Combination)/6. Strategy Backtesting.mp410.87 MB
  397. 27. Working with two or many Strategies (Combination)/6. Strategy Backtesting.srt1.94 KB
  398. 27. Working with two or many Strategies (Combination)/7. Combining both Strategies - Alternative 2.mp422.17 MB
  399. 27. Working with two or many Strategies (Combination)/7. Combining both Strategies - Alternative 2.srt2.96 KB
  400. 27. Working with two or many Strategies (Combination)/8. Strategy Optimization.mp468.54 MB
  401. 27. Working with two or many Strategies (Combination)/8. Strategy Optimization.srt10.02 KB
  402. 28. A Machine Learning-powered Strategy A-Z (DNN)/1. Project Overview.mp423.79 MB
  403. 28. A Machine Learning-powered Strategy A-Z (DNN)/1. Project Overview.srt6.75 KB
  404. 28. A Machine Learning-powered Strategy A-Z (DNN)/1.1 DNN.pdf431.06 KB
  405. 28. A Machine Learning-powered Strategy A-Z (DNN)/10. Prediction & Out-Sample Forward Testing.mp448.27 MB
  406. 28. A Machine Learning-powered Strategy A-Z (DNN)/10. Prediction & Out-Sample Forward Testing.srt8.10 KB
  407. 28. A Machine Learning-powered Strategy A-Z (DNN)/11. Saving Model and Parameters.mp418.24 MB
  408. 28. A Machine Learning-powered Strategy A-Z (DNN)/11. Saving Model and Parameters.srt3.05 KB
  409. 28. A Machine Learning-powered Strategy A-Z (DNN)/12. Important Notices.html822 bytes
  410. 28. A Machine Learning-powered Strategy A-Z (DNN)/13. Implementation (Oanda & FXCM).mp4112.43 MB
  411. 28. A Machine Learning-powered Strategy A-Z (DNN)/13. Implementation (Oanda & FXCM).srt13.51 KB
  412. 28. A Machine Learning-powered Strategy A-Z (DNN)/2. Installation of Tensorflow & Keras (Part 1).html555 bytes
  413. 28. A Machine Learning-powered Strategy A-Z (DNN)/3. Installation of Tensorflow & Keras (Part 2).mp449.81 MB
  414. 28. A Machine Learning-powered Strategy A-Z (DNN)/3. Installation of Tensorflow & Keras (Part 2).srt7.54 KB
  415. 28. A Machine Learning-powered Strategy A-Z (DNN)/4. Getting and Preparing the Data.mp48.43 MB
  416. 28. A Machine Learning-powered Strategy A-Z (DNN)/4. Getting and Preparing the Data.srt1.41 KB
  417. 28. A Machine Learning-powered Strategy A-Z (DNN)/5. Adding LabelsFeatures.mp437.73 MB
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  419. 28. A Machine Learning-powered Strategy A-Z (DNN)/6. Adding lags.mp419.23 MB
  420. 28. A Machine Learning-powered Strategy A-Z (DNN)/6. Adding lags.srt2.68 KB
  421. 28. A Machine Learning-powered Strategy A-Z (DNN)/7. Splitting into Train and Test Set.mp49.83 MB
  422. 28. A Machine Learning-powered Strategy A-Z (DNN)/7. Splitting into Train and Test Set.srt2.36 KB
  423. 28. A Machine Learning-powered Strategy A-Z (DNN)/8. Feature ScalingEngineering.mp426.39 MB
  424. 28. A Machine Learning-powered Strategy A-Z (DNN)/8. Feature ScalingEngineering.srt3.52 KB
  425. 28. A Machine Learning-powered Strategy A-Z (DNN)/9. Creating and Fitting the DNN Model.mp447.63 MB
  426. 28. A Machine Learning-powered Strategy A-Z (DNN)/9. Creating and Fitting the DNN Model.srt8.64 KB
  427. 29. Error Handling How to make your Trading Bot more stable and reliable/1. Introduction.mp419.55 MB
  428. 29. Error Handling How to make your Trading Bot more stable and reliable/1. Introduction.srt6.16 KB
  429. 29. Error Handling How to make your Trading Bot more stable and reliable/10. How to limit the number of retries.mp413.68 MB
  430. 29. Error Handling How to make your Trading Bot more stable and reliable/10. How to limit the number of retries.srt2.89 KB
  431. 29. Error Handling How to make your Trading Bot more stable and reliable/11. Waiting periods between re-tries.mp425.86 MB
  432. 29. Error Handling How to make your Trading Bot more stable and reliable/11. Waiting periods between re-tries.srt4.98 KB
  433. 29. Error Handling How to make your Trading Bot more stable and reliable/12. Implementation with Oanda V20 Connection Issues.mp436.15 MB
  434. 29. Error Handling How to make your Trading Bot more stable and reliable/12. Implementation with Oanda V20 Connection Issues.srt4.04 KB
  435. 29. Error Handling How to make your Trading Bot more stable and reliable/13. Oanda Error Handling (Part 1).mp444.54 MB
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  437. 29. Error Handling How to make your Trading Bot more stable and reliable/14. Oanda Error Handling (Part 2).mp464.14 MB
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  439. 29. Error Handling How to make your Trading Bot more stable and reliable/15. Oanda Error Handling (Part 3).mp434.55 MB
  440. 29. Error Handling How to make your Trading Bot more stable and reliable/15. Oanda Error Handling (Part 3).srt4.21 KB
  441. 29. Error Handling How to make your Trading Bot more stable and reliable/16. Implementation with FXCM APIServer Issues.mp420.83 MB
  442. 29. Error Handling How to make your Trading Bot more stable and reliable/16. Implementation with FXCM APIServer Issues.srt2.78 KB
  443. 29. Error Handling How to make your Trading Bot more stable and reliable/17. FXCM Error Handling (Part 1).mp441.84 MB
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  445. 29. Error Handling How to make your Trading Bot more stable and reliable/18. FXCM Error Handling (Part 2).mp438.16 MB
  446. 29. Error Handling How to make your Trading Bot more stable and reliable/18. FXCM Error Handling (Part 2).srt5.84 KB
  447. 29. Error Handling How to make your Trading Bot more stable and reliable/2. Section Materials Notebooks.html122 bytes
  448. 29. Error Handling How to make your Trading Bot more stable and reliable/3. Python Errors (Exceptions).mp46.83 MB
  449. 29. Error Handling How to make your Trading Bot more stable and reliable/3. Python Errors (Exceptions).srt1.93 KB
  450. 29. Error Handling How to make your Trading Bot more stable and reliable/4. try and except.mp48.89 MB
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  452. 29. Error Handling How to make your Trading Bot more stable and reliable/5. Catching specific Errors.mp47.56 MB
  453. 29. Error Handling How to make your Trading Bot more stable and reliable/5. Catching specific Errors.srt1.89 KB
  454. 29. Error Handling How to make your Trading Bot more stable and reliable/6. The Exception class.mp45.67 MB
  455. 29. Error Handling How to make your Trading Bot more stable and reliable/6. The Exception class.srt1.37 KB
  456. 29. Error Handling How to make your Trading Bot more stable and reliable/7. try, except, else.mp425.15 MB
  457. 29. Error Handling How to make your Trading Bot more stable and reliable/7. try, except, else.srt3.73 KB
  458. 29. Error Handling How to make your Trading Bot more stable and reliable/8. finally.mp420.12 MB
  459. 29. Error Handling How to make your Trading Bot more stable and reliable/8. finally.srt4.20 KB
  460. 29. Error Handling How to make your Trading Bot more stable and reliable/9. Try again (...until it works).mp421.27 MB
  461. 29. Error Handling How to make your Trading Bot more stable and reliable/9. Try again (...until it works).srt5.31 KB
  462. 3. Day Trading with OANDA A-Z a Deep Dive/1. OANDA at a first glance.mp465.91 MB
  463. 3. Day Trading with OANDA A-Z a Deep Dive/1. OANDA at a first glance.srt9.18 KB
  464. 3. Day Trading with OANDA A-Z a Deep Dive/10. Our third Trade A-Z - Going Short EURUSD.mp461.88 MB
  465. 3. Day Trading with OANDA A-Z a Deep Dive/10. Our third Trade A-Z - Going Short EURUSD.srt7.93 KB
  466. 3. Day Trading with OANDA A-Z a Deep Dive/10.1 Short_EUR.xlsx35.48 KB
  467. 3. Day Trading with OANDA A-Z a Deep Dive/11. Netting vs. Hedging.mp460.84 MB
  468. 3. Day Trading with OANDA A-Z a Deep Dive/11. Netting vs. Hedging.srt7.50 KB
  469. 3. Day Trading with OANDA A-Z a Deep Dive/12. Market, Limit and Stop Orders.mp439.27 MB
  470. 3. Day Trading with OANDA A-Z a Deep Dive/12. Market, Limit and Stop Orders.srt6.07 KB
  471. 3. Day Trading with OANDA A-Z a Deep Dive/13. Take-Profit and Stop-Loss Orders.mp424.44 MB
  472. 3. Day Trading with OANDA A-Z a Deep Dive/13. Take-Profit and Stop-Loss Orders.srt3.93 KB
  473. 3. Day Trading with OANDA A-Z a Deep Dive/14. A more general Example.mp430.79 MB
  474. 3. Day Trading with OANDA A-Z a Deep Dive/14. A more general Example.srt4.73 KB
  475. 3. Day Trading with OANDA A-Z a Deep Dive/15. Trading Challenge.html569 bytes
  476. 3. Day Trading with OANDA A-Z a Deep Dive/2. How to create an Account.mp448.28 MB
  477. 3. Day Trading with OANDA A-Z a Deep Dive/2. How to create an Account.srt7.95 KB
  478. 3. Day Trading with OANDA A-Z a Deep Dive/3. FOREX Currency Exchange Rates explained.mp459.54 MB
  479. 3. Day Trading with OANDA A-Z a Deep Dive/3. FOREX Currency Exchange Rates explained.srt9.80 KB
  480. 3. Day Trading with OANDA A-Z a Deep Dive/3.1 Currency.pdf113.63 KB
  481. 3. Day Trading with OANDA A-Z a Deep Dive/4. Our second Trade - EURUSD FOREX Trading.mp442.93 MB
  482. 3. Day Trading with OANDA A-Z a Deep Dive/4. Our second Trade - EURUSD FOREX Trading.srt4.75 KB
  483. 3. Day Trading with OANDA A-Z a Deep Dive/5. How to calculate Profit & Loss of a Trade.mp448.85 MB
  484. 3. Day Trading with OANDA A-Z a Deep Dive/5. How to calculate Profit & Loss of a Trade.srt7.43 KB
  485. 3. Day Trading with OANDA A-Z a Deep Dive/5.1 Long_EUR.xlsx40.06 KB
  486. 3. Day Trading with OANDA A-Z a Deep Dive/6. Trading Costs and Performance Attribution.mp469.54 MB
  487. 3. Day Trading with OANDA A-Z a Deep Dive/6. Trading Costs and Performance Attribution.srt12.50 KB
  488. 3. Day Trading with OANDA A-Z a Deep Dive/6.1 spread.pdf112.17 KB
  489. 3. Day Trading with OANDA A-Z a Deep Dive/7. Margin and Leverage.mp470.56 MB
  490. 3. Day Trading with OANDA A-Z a Deep Dive/7. Margin and Leverage.srt8.17 KB
  491. 3. Day Trading with OANDA A-Z a Deep Dive/8. Margin Closeout and more.mp441.31 MB
  492. 3. Day Trading with OANDA A-Z a Deep Dive/8. Margin Closeout and more.srt8.20 KB
  493. 3. Day Trading with OANDA A-Z a Deep Dive/9. Introduction to Charting.mp439.66 MB
  494. 3. Day Trading with OANDA A-Z a Deep Dive/9. Introduction to Charting.srt5.71 KB
  495. 3. Day Trading with OANDA A-Z a Deep Dive/9.1 Candlestick.pdf92.60 KB
  496. 30. +++ APPENDIX Python Crash Course +++/1. Overview.mp46.85 MB
  497. 30. +++ APPENDIX Python Crash Course +++/1. Overview.srt1.82 KB
  498. 31. Appendix 1 Python (& Finance) Basics/1. Section Downloads.html124 bytes
  499. 31. Appendix 1 Python (& Finance) Basics/1.1 Appendix1_Materials.zip18.91 KB
  500. 31. Appendix 1 Python (& Finance) Basics/10. More on Variables and Memory.mp422.22 MB
  501. 31. Appendix 1 Python (& Finance) Basics/10. More on Variables and Memory.srt8.04 KB
  502. 31. Appendix 1 Python (& Finance) Basics/11. Variables - Dos, Don´ts and Conventions.mp417.06 MB
  503. 31. Appendix 1 Python (& Finance) Basics/11. Variables - Dos, Don´ts and Conventions.srt4.75 KB
  504. 31. Appendix 1 Python (& Finance) Basics/11.1 keywords.pdf69.44 KB
  505. 31. Appendix 1 Python (& Finance) Basics/12. The print() Function.mp417.42 MB
  506. 31. Appendix 1 Python (& Finance) Basics/12. The print() Function.srt5.14 KB
  507. 31. Appendix 1 Python (& Finance) Basics/13. Coding Exercise 1.mp446.77 MB
  508. 31. Appendix 1 Python (& Finance) Basics/13. Coding Exercise 1.srt11.51 KB
  509. 31. Appendix 1 Python (& Finance) Basics/14. TVM Problems with many Cashflows.mp410.47 MB
  510. 31. Appendix 1 Python (& Finance) Basics/14. TVM Problems with many Cashflows.srt4.48 KB
  511. 31. Appendix 1 Python (& Finance) Basics/14.1 FV_many.pdf185.95 KB
  512. 31. Appendix 1 Python (& Finance) Basics/15. Intro to Python Lists.mp47.77 MB
  513. 31. Appendix 1 Python (& Finance) Basics/15. Intro to Python Lists.srt3.01 KB
  514. 31. Appendix 1 Python (& Finance) Basics/16. Zero-based Indexing and negative Indexing in Python (Theory).mp47.44 MB
  515. 31. Appendix 1 Python (& Finance) Basics/16. Zero-based Indexing and negative Indexing in Python (Theory).srt3.40 KB
  516. 31. Appendix 1 Python (& Finance) Basics/16.1 Indexing.pdf122.88 KB
  517. 31. Appendix 1 Python (& Finance) Basics/17. Indexing Lists.mp413.87 MB
  518. 31. Appendix 1 Python (& Finance) Basics/17. Indexing Lists.srt3.76 KB
  519. 31. Appendix 1 Python (& Finance) Basics/18. For Loops - Iterating over Lists.mp429.91 MB
  520. 31. Appendix 1 Python (& Finance) Basics/18. For Loops - Iterating over Lists.srt9.79 KB
  521. 31. Appendix 1 Python (& Finance) Basics/19. The range Object - another Iterable.mp417.08 MB
  522. 31. Appendix 1 Python (& Finance) Basics/19. The range Object - another Iterable.srt5.97 KB
  523. 31. Appendix 1 Python (& Finance) Basics/2. Intro to the Time Value of Money (TVM) Concept (Theory).mp416.49 MB
  524. 31. Appendix 1 Python (& Finance) Basics/2. Intro to the Time Value of Money (TVM) Concept (Theory).srt7.50 KB
  525. 31. Appendix 1 Python (& Finance) Basics/2.1 TVM.pdf195.76 KB
  526. 31. Appendix 1 Python (& Finance) Basics/20. Calculate FV and PV for many Cashflows.mp433.52 MB
  527. 31. Appendix 1 Python (& Finance) Basics/20. Calculate FV and PV for many Cashflows.srt9.12 KB
  528. 31. Appendix 1 Python (& Finance) Basics/20.1 PV_FV_many.pdf194.55 KB
  529. 31. Appendix 1 Python (& Finance) Basics/21. The Net Present Value - NPV (Theory).mp433.29 MB
  530. 31. Appendix 1 Python (& Finance) Basics/21. The Net Present Value - NPV (Theory).srt9.76 KB
  531. 31. Appendix 1 Python (& Finance) Basics/21.1 NPV.pdf245.66 KB
  532. 31. Appendix 1 Python (& Finance) Basics/22. Calculate an Investment Project´s NPV.mp414.34 MB
  533. 31. Appendix 1 Python (& Finance) Basics/22. Calculate an Investment Project´s NPV.srt3.63 KB
  534. 31. Appendix 1 Python (& Finance) Basics/23. Coding Exercise 2.mp437.98 MB
  535. 31. Appendix 1 Python (& Finance) Basics/23. Coding Exercise 2.srt10.02 KB
  536. 31. Appendix 1 Python (& Finance) Basics/24. Data Types in Action.mp424.33 MB
  537. 31. Appendix 1 Python (& Finance) Basics/24. Data Types in Action.srt7.55 KB
  538. 31. Appendix 1 Python (& Finance) Basics/25. The Data Type Hierarchy (Theory).mp410.78 MB
  539. 31. Appendix 1 Python (& Finance) Basics/25. The Data Type Hierarchy (Theory).srt4.30 KB
  540. 31. Appendix 1 Python (& Finance) Basics/25.1 Type_Hierarchy.pdf162.43 KB
  541. 31. Appendix 1 Python (& Finance) Basics/26. Excursus Dynamic Typing in Python.mp45.20 MB
  542. 31. Appendix 1 Python (& Finance) Basics/26. Excursus Dynamic Typing in Python.srt1.99 KB
  543. 31. Appendix 1 Python (& Finance) Basics/27. Build-in Functions.mp425.39 MB
  544. 31. Appendix 1 Python (& Finance) Basics/27. Build-in Functions.srt7.72 KB
  545. 31. Appendix 1 Python (& Finance) Basics/27.1 Built_in_func.pdf92.61 KB
  546. 31. Appendix 1 Python (& Finance) Basics/28. Integers.mp410.97 MB
  547. 31. Appendix 1 Python (& Finance) Basics/28. Integers.srt3.90 KB
  548. 31. Appendix 1 Python (& Finance) Basics/29. Floats.mp424.33 MB
  549. 31. Appendix 1 Python (& Finance) Basics/29. Floats.srt6.83 KB
  550. 31. Appendix 1 Python (& Finance) Basics/3. Calculate Future Values (FV) with Python Compounding.mp412.76 MB
  551. 31. Appendix 1 Python (& Finance) Basics/3. Calculate Future Values (FV) with Python Compounding.srt4.30 KB
  552. 31. Appendix 1 Python (& Finance) Basics/30. How to round Floats (and Integers) with round().mp420.91 MB
  553. 31. Appendix 1 Python (& Finance) Basics/30. How to round Floats (and Integers) with round().srt6.55 KB
  554. 31. Appendix 1 Python (& Finance) Basics/31. More on Lists.mp424.59 MB
  555. 31. Appendix 1 Python (& Finance) Basics/31. More on Lists.srt6.48 KB
  556. 31. Appendix 1 Python (& Finance) Basics/32. Lists and Element-wise Operations.mp417.58 MB
  557. 31. Appendix 1 Python (& Finance) Basics/32. Lists and Element-wise Operations.srt5.37 KB
  558. 31. Appendix 1 Python (& Finance) Basics/33. Slicing Lists.mp420.13 MB
  559. 31. Appendix 1 Python (& Finance) Basics/33. Slicing Lists.srt5.02 KB
  560. 31. Appendix 1 Python (& Finance) Basics/34. Slicing Cheat Sheet.html108 bytes
  561. 31. Appendix 1 Python (& Finance) Basics/34.1 Slicing_cheatsheet.pdf105.28 KB
  562. 31. Appendix 1 Python (& Finance) Basics/35. Changing Elements in Lists.mp410.12 MB
  563. 31. Appendix 1 Python (& Finance) Basics/35. Changing Elements in Lists.srt3.32 KB
  564. 31. Appendix 1 Python (& Finance) Basics/36. Sorting and Reversing Lists.mp413.19 MB
  565. 31. Appendix 1 Python (& Finance) Basics/36. Sorting and Reversing Lists.srt4.48 KB
  566. 31. Appendix 1 Python (& Finance) Basics/37. Adding and removing Elements fromto Lists.mp438.54 MB
  567. 31. Appendix 1 Python (& Finance) Basics/37. Adding and removing Elements fromto Lists.srt11.47 KB
  568. 31. Appendix 1 Python (& Finance) Basics/38. Mutable vs. immutable Objects (Part 1).mp434.50 MB
  569. 31. Appendix 1 Python (& Finance) Basics/38. Mutable vs. immutable Objects (Part 1).srt10.31 KB
  570. 31. Appendix 1 Python (& Finance) Basics/39. Mutable vs. immutable Objects (Part 2).mp421.86 MB
  571. 31. Appendix 1 Python (& Finance) Basics/39. Mutable vs. immutable Objects (Part 2).srt5.87 KB
  572. 31. Appendix 1 Python (& Finance) Basics/39.1 Python_for_Finance_Mutability.pdf166.74 KB
  573. 31. Appendix 1 Python (& Finance) Basics/4. Calculate Present Values (FV) with Python Discounting.mp410.06 MB
  574. 31. Appendix 1 Python (& Finance) Basics/4. Calculate Present Values (FV) with Python Discounting.srt3.06 KB
  575. 31. Appendix 1 Python (& Finance) Basics/40. Coding Exercise 3.mp453.80 MB
  576. 31. Appendix 1 Python (& Finance) Basics/40. Coding Exercise 3.srt13.20 KB
  577. 31. Appendix 1 Python (& Finance) Basics/41. Tuples.mp429.79 MB
  578. 31. Appendix 1 Python (& Finance) Basics/41. Tuples.srt8.31 KB
  579. 31. Appendix 1 Python (& Finance) Basics/42. Dictionaries.mp431.03 MB
  580. 31. Appendix 1 Python (& Finance) Basics/42. Dictionaries.srt7.87 KB
  581. 31. Appendix 1 Python (& Finance) Basics/43. Intro to Strings.mp440.83 MB
  582. 31. Appendix 1 Python (& Finance) Basics/43. Intro to Strings.srt9.85 KB
  583. 31. Appendix 1 Python (& Finance) Basics/44. String Replacement.mp417.31 MB
  584. 31. Appendix 1 Python (& Finance) Basics/44. String Replacement.srt4.88 KB
  585. 31. Appendix 1 Python (& Finance) Basics/45. Booleans.mp48.89 MB
  586. 31. Appendix 1 Python (& Finance) Basics/45. Booleans.srt2.81 KB
  587. 31. Appendix 1 Python (& Finance) Basics/46. Operators (Theory).mp411.70 MB
  588. 31. Appendix 1 Python (& Finance) Basics/46. Operators (Theory).srt5.31 KB
  589. 31. Appendix 1 Python (& Finance) Basics/46.1 Operators.pdf145.62 KB
  590. 31. Appendix 1 Python (& Finance) Basics/47. Comparison, Logical and Membership Operators in Action.mp435.53 MB
  591. 31. Appendix 1 Python (& Finance) Basics/47. Comparison, Logical and Membership Operators in Action.srt9.48 KB
  592. 31. Appendix 1 Python (& Finance) Basics/48. Coding Exercise 4.mp442.30 MB
  593. 31. Appendix 1 Python (& Finance) Basics/48. Coding Exercise 4.srt10.91 KB
  594. 31. Appendix 1 Python (& Finance) Basics/49. Conditional Statements.mp438.63 MB
  595. 31. Appendix 1 Python (& Finance) Basics/49. Conditional Statements.srt10.52 KB
  596. 31. Appendix 1 Python (& Finance) Basics/5. Interest Rates and Returns (Theory).mp414.19 MB
  597. 31. Appendix 1 Python (& Finance) Basics/5. Interest Rates and Returns (Theory).srt6.05 KB
  598. 31. Appendix 1 Python (& Finance) Basics/5.1 Interest_Rates.pdf197.82 KB
  599. 31. Appendix 1 Python (& Finance) Basics/50. Keywords pass, continue and break.mp439.39 MB
  600. 31. Appendix 1 Python (& Finance) Basics/50. Keywords pass, continue and break.srt11.58 KB
  601. 31. Appendix 1 Python (& Finance) Basics/51. Calculate a Project´s Payback Period.mp421.87 MB
  602. 31. Appendix 1 Python (& Finance) Basics/51. Calculate a Project´s Payback Period.srt5.56 KB
  603. 31. Appendix 1 Python (& Finance) Basics/52. Introduction to while loops.mp435.65 MB
  604. 31. Appendix 1 Python (& Finance) Basics/52. Introduction to while loops.srt8.68 KB
  605. 31. Appendix 1 Python (& Finance) Basics/53. Coding Exercise 5.html158 bytes
  606. 31. Appendix 1 Python (& Finance) Basics/6. Calculate Interest Rates and Returns with Python.mp419.26 MB
  607. 31. Appendix 1 Python (& Finance) Basics/6. Calculate Interest Rates and Returns with Python.srt4.85 KB
  608. 31. Appendix 1 Python (& Finance) Basics/7. Introduction to Variables.mp418.13 MB
  609. 31. Appendix 1 Python (& Finance) Basics/7. Introduction to Variables.srt6.37 KB
  610. 31. Appendix 1 Python (& Finance) Basics/8. Excursus How to add inline comments.mp411.25 MB
  611. 31. Appendix 1 Python (& Finance) Basics/8. Excursus How to add inline comments.srt3.52 KB
  612. 31. Appendix 1 Python (& Finance) Basics/9. Variables and Memory (Theory).mp45.47 MB
  613. 31. Appendix 1 Python (& Finance) Basics/9. Variables and Memory (Theory).srt2.45 KB
  614. 31. Appendix 1 Python (& Finance) Basics/9.1 Variables.pdf142.98 KB
  615. 32. Appendix 2 User-defined Functions (required for OOP)/1. Section Downloads.html124 bytes
  616. 32. Appendix 2 User-defined Functions (required for OOP)/1.1 Appendix2_Materials.zip3.14 KB
  617. 32. Appendix 2 User-defined Functions (required for OOP)/10. Coding Exercise 6.html156 bytes
  618. 32. Appendix 2 User-defined Functions (required for OOP)/2. Defining your first user-defined Function.mp427.36 MB
  619. 32. Appendix 2 User-defined Functions (required for OOP)/2. Defining your first user-defined Function.srt7.33 KB
  620. 32. Appendix 2 User-defined Functions (required for OOP)/3. What´s the difference between Positional Arguments vs. Keyword Arguments.mp436.34 MB
  621. 32. Appendix 2 User-defined Functions (required for OOP)/3. What´s the difference between Positional Arguments vs. Keyword Arguments.srt7.50 KB
  622. 32. Appendix 2 User-defined Functions (required for OOP)/4. How to work with Default Arguments.mp428.48 MB
  623. 32. Appendix 2 User-defined Functions (required for OOP)/4. How to work with Default Arguments.srt6.82 KB
  624. 32. Appendix 2 User-defined Functions (required for OOP)/5. The Default Argument None.mp426.79 MB
  625. 32. Appendix 2 User-defined Functions (required for OOP)/5. The Default Argument None.srt7.42 KB
  626. 32. Appendix 2 User-defined Functions (required for OOP)/6. How to unpack Iterables.mp418.62 MB
  627. 32. Appendix 2 User-defined Functions (required for OOP)/6. How to unpack Iterables.srt5.58 KB
  628. 32. Appendix 2 User-defined Functions (required for OOP)/7. Sequences as arguments and args.mp426.28 MB
  629. 32. Appendix 2 User-defined Functions (required for OOP)/7. Sequences as arguments and args.srt6.32 KB
  630. 32. Appendix 2 User-defined Functions (required for OOP)/8. How to return many results.mp413.44 MB
  631. 32. Appendix 2 User-defined Functions (required for OOP)/8. How to return many results.srt3.36 KB
  632. 32. Appendix 2 User-defined Functions (required for OOP)/9. Scope - easily explained.mp435.26 MB
  633. 32. Appendix 2 User-defined Functions (required for OOP)/9. Scope - easily explained.srt10.01 KB
  634. 33. Appendix 3 Numpy, Pandas, Matplotlib and Seaborn Crash Course/1. Downloads for this Section.html124 bytes
  635. 33. Appendix 3 Numpy, Pandas, Matplotlib and Seaborn Crash Course/1.1 Appendix3_Materials.zip656.29 KB
  636. 33. Appendix 3 Numpy, Pandas, Matplotlib and Seaborn Crash Course/10. Boolean Arrays and Conditional Filtering.mp418.14 MB
  637. 33. Appendix 3 Numpy, Pandas, Matplotlib and Seaborn Crash Course/10. Boolean Arrays and Conditional Filtering.srt5.62 KB
  638. 33. Appendix 3 Numpy, Pandas, Matplotlib and Seaborn Crash Course/11. Advanced Filtering & Bitwise Operators.mp428.18 MB
  639. 33. Appendix 3 Numpy, Pandas, Matplotlib and Seaborn Crash Course/11. Advanced Filtering & Bitwise Operators.srt7.24 KB
  640. 33. Appendix 3 Numpy, Pandas, Matplotlib and Seaborn Crash Course/12. Determining a Project´s Payback Period with np.where().mp422.54 MB
  641. 33. Appendix 3 Numpy, Pandas, Matplotlib and Seaborn Crash Course/12. Determining a Project´s Payback Period with np.where().srt5.89 KB
  642. 33. Appendix 3 Numpy, Pandas, Matplotlib and Seaborn Crash Course/13. Creating Numpy Arrays from Scratch.mp437.87 MB
  643. 33. Appendix 3 Numpy, Pandas, Matplotlib and Seaborn Crash Course/13. Creating Numpy Arrays from Scratch.srt6.12 KB
  644. 33. Appendix 3 Numpy, Pandas, Matplotlib and Seaborn Crash Course/14. Coding Exercise 7.html158 bytes
  645. 33. Appendix 3 Numpy, Pandas, Matplotlib and Seaborn Crash Course/15. How to work with nested Lists.mp418.24 MB
  646. 33. Appendix 3 Numpy, Pandas, Matplotlib and Seaborn Crash Course/15. How to work with nested Lists.srt5.37 KB
  647. 33. Appendix 3 Numpy, Pandas, Matplotlib and Seaborn Crash Course/16. 2-dimensional Numpy Arrays.mp416.13 MB
  648. 33. Appendix 3 Numpy, Pandas, Matplotlib and Seaborn Crash Course/16. 2-dimensional Numpy Arrays.srt4.63 KB
  649. 33. Appendix 3 Numpy, Pandas, Matplotlib and Seaborn Crash Course/17. How to slice 2-dim Numpy Arrays (Part 1).mp428.93 MB
  650. 33. Appendix 3 Numpy, Pandas, Matplotlib and Seaborn Crash Course/17. How to slice 2-dim Numpy Arrays (Part 1).srt6.72 KB
  651. 33. Appendix 3 Numpy, Pandas, Matplotlib and Seaborn Crash Course/18. How to slice 2-dim Numpy Arrays (Part 2).mp48.75 MB
  652. 33. Appendix 3 Numpy, Pandas, Matplotlib and Seaborn Crash Course/18. How to slice 2-dim Numpy Arrays (Part 2).srt2.43 KB
  653. 33. Appendix 3 Numpy, Pandas, Matplotlib and Seaborn Crash Course/19. Recap Changing Elements in a Numpy Array slice.mp416.51 MB
  654. 33. Appendix 3 Numpy, Pandas, Matplotlib and Seaborn Crash Course/19. Recap Changing Elements in a Numpy Array slice.srt4.40 KB
  655. 33. Appendix 3 Numpy, Pandas, Matplotlib and Seaborn Crash Course/2. Modules, Packages and Libraries - No need to reinvent the Wheel.mp432.02 MB
  656. 33. Appendix 3 Numpy, Pandas, Matplotlib and Seaborn Crash Course/2. Modules, Packages and Libraries - No need to reinvent the Wheel.srt9.01 KB
  657. 33. Appendix 3 Numpy, Pandas, Matplotlib and Seaborn Crash Course/20. How to perform row-wise and column-wise Operations.mp422.47 MB
  658. 33. Appendix 3 Numpy, Pandas, Matplotlib and Seaborn Crash Course/20. How to perform row-wise and column-wise Operations.srt5.54 KB
  659. 33. Appendix 3 Numpy, Pandas, Matplotlib and Seaborn Crash Course/21. Coding Exercise 8.html158 bytes
  660. 33. Appendix 3 Numpy, Pandas, Matplotlib and Seaborn Crash Course/22. Intro to Tabular Data Pandas.mp418.08 MB
  661. 33. Appendix 3 Numpy, Pandas, Matplotlib and Seaborn Crash Course/22. Intro to Tabular Data Pandas.srt5.64 KB
  662. 33. Appendix 3 Numpy, Pandas, Matplotlib and Seaborn Crash Course/23. Create your very first Pandas DataFrame (from csv).mp462.52 MB
  663. 33. Appendix 3 Numpy, Pandas, Matplotlib and Seaborn Crash Course/23. Create your very first Pandas DataFrame (from csv).srt10.37 KB
  664. 33. Appendix 3 Numpy, Pandas, Matplotlib and Seaborn Crash Course/24. Pandas Display Options and the methods head() & tail().mp440.48 MB
  665. 33. Appendix 3 Numpy, Pandas, Matplotlib and Seaborn Crash Course/24. Pandas Display Options and the methods head() & tail().srt7.77 KB
  666. 33. Appendix 3 Numpy, Pandas, Matplotlib and Seaborn Crash Course/25. First Data Inspection.mp456.02 MB
  667. 33. Appendix 3 Numpy, Pandas, Matplotlib and Seaborn Crash Course/25. First Data Inspection.srt14.46 KB
  668. 33. Appendix 3 Numpy, Pandas, Matplotlib and Seaborn Crash Course/26. Coding Exercise 9.html159 bytes
  669. 33. Appendix 3 Numpy, Pandas, Matplotlib and Seaborn Crash Course/27. Selecting Columns.mp426.63 MB
  670. 33. Appendix 3 Numpy, Pandas, Matplotlib and Seaborn Crash Course/27. Selecting Columns.srt6.54 KB
  671. 33. Appendix 3 Numpy, Pandas, Matplotlib and Seaborn Crash Course/28. Selecting one Column with the dot notation.mp48.55 MB
  672. 33. Appendix 3 Numpy, Pandas, Matplotlib and Seaborn Crash Course/28. Selecting one Column with the dot notation.srt2.75 KB
  673. 33. Appendix 3 Numpy, Pandas, Matplotlib and Seaborn Crash Course/29. Zero-based Indexing and Negative Indexing.mp410.18 MB
  674. 33. Appendix 3 Numpy, Pandas, Matplotlib and Seaborn Crash Course/29. Zero-based Indexing and Negative Indexing.srt3.97 KB
  675. 33. Appendix 3 Numpy, Pandas, Matplotlib and Seaborn Crash Course/3. Numpy Arrays.mp435.70 MB
  676. 33. Appendix 3 Numpy, Pandas, Matplotlib and Seaborn Crash Course/3. Numpy Arrays.srt9.28 KB
  677. 33. Appendix 3 Numpy, Pandas, Matplotlib and Seaborn Crash Course/30. Selecting Rows with iloc (position-based indexing).mp465.01 MB
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  679. 33. Appendix 3 Numpy, Pandas, Matplotlib and Seaborn Crash Course/31. Slicing Rows and Columns with iloc (position-based indexing).mp424.28 MB
  680. 33. Appendix 3 Numpy, Pandas, Matplotlib and Seaborn Crash Course/31. Slicing Rows and Columns with iloc (position-based indexing).srt5.37 KB
  681. 33. Appendix 3 Numpy, Pandas, Matplotlib and Seaborn Crash Course/32. Position-based Indexing Cheat Sheets.html440 bytes
  682. 33. Appendix 3 Numpy, Pandas, Matplotlib and Seaborn Crash Course/32.1 pandas_iloc.pdf72.00 KB
  683. 33. Appendix 3 Numpy, Pandas, Matplotlib and Seaborn Crash Course/33. Selecting Rows with loc (label-based indexing).mp421.32 MB
  684. 33. Appendix 3 Numpy, Pandas, Matplotlib and Seaborn Crash Course/33. Selecting Rows with loc (label-based indexing).srt3.87 KB
  685. 33. Appendix 3 Numpy, Pandas, Matplotlib and Seaborn Crash Course/34. Slicing Rows and Columns with loc (label-based indexing).mp477.57 MB
  686. 33. Appendix 3 Numpy, Pandas, Matplotlib and Seaborn Crash Course/34. Slicing Rows and Columns with loc (label-based indexing).srt11.64 KB
  687. 33. Appendix 3 Numpy, Pandas, Matplotlib and Seaborn Crash Course/35. Label-based Indexing Cheat Sheets.html701 bytes
  688. 33. Appendix 3 Numpy, Pandas, Matplotlib and Seaborn Crash Course/35.1 Pandas_loc.pdf67.80 KB
  689. 33. Appendix 3 Numpy, Pandas, Matplotlib and Seaborn Crash Course/36. Summary, Best Practices and Outlook.mp442.02 MB
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  691. 33. Appendix 3 Numpy, Pandas, Matplotlib and Seaborn Crash Course/37. Coding Exercise 10.html159 bytes
  692. 33. Appendix 3 Numpy, Pandas, Matplotlib and Seaborn Crash Course/38. First Steps with Pandas Series.mp418.99 MB
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  694. 33. Appendix 3 Numpy, Pandas, Matplotlib and Seaborn Crash Course/39. Analyzing Numerical Series with unique(), nunique() and value_counts().mp40 bytes
  695. 33. Appendix 3 Numpy, Pandas, Matplotlib and Seaborn Crash Course/39. Analyzing Numerical Series with unique(), nunique() and value_counts().srt0 bytes
  696. 33. Appendix 3 Numpy, Pandas, Matplotlib and Seaborn Crash Course/4. Indexing and Slicing Numpy Arrays.mp413.67 MB
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  698. 33. Appendix 3 Numpy, Pandas, Matplotlib and Seaborn Crash Course/40. Analyzing non-numerical Series with unique(), nunique(), value_counts().mp40 bytes
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  700. 33. Appendix 3 Numpy, Pandas, Matplotlib and Seaborn Crash Course/41. The copy() method.mp420.78 MB
  701. 33. Appendix 3 Numpy, Pandas, Matplotlib and Seaborn Crash Course/41. The copy() method.srt5.27 KB
  702. 33. Appendix 3 Numpy, Pandas, Matplotlib and Seaborn Crash Course/42. Sorting of Series and Introduction to the inplace - parameter.mp433.42 MB
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  704. 33. Appendix 3 Numpy, Pandas, Matplotlib and Seaborn Crash Course/43. First Steps with Pandas Index Objects.mp437.14 MB
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  706. 33. Appendix 3 Numpy, Pandas, Matplotlib and Seaborn Crash Course/44. Changing Row Index with set_index() and reset_index().mp463.07 MB
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  708. 33. Appendix 3 Numpy, Pandas, Matplotlib and Seaborn Crash Course/45. Changing Column Labels.mp417.97 MB
  709. 33. Appendix 3 Numpy, Pandas, Matplotlib and Seaborn Crash Course/45. Changing Column Labels.srt4.03 KB
  710. 33. Appendix 3 Numpy, Pandas, Matplotlib and Seaborn Crash Course/46. Renaming Index & Column Labels with rename().mp427.99 MB
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  712. 33. Appendix 3 Numpy, Pandas, Matplotlib and Seaborn Crash Course/47. Filtering DataFrames (one Condition).mp444.85 MB
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  714. 33. Appendix 3 Numpy, Pandas, Matplotlib and Seaborn Crash Course/48. Filtering DataFrames by many Conditions (AND).mp421.23 MB
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  716. 33. Appendix 3 Numpy, Pandas, Matplotlib and Seaborn Crash Course/49. Filtering DataFrames by many Conditions (OR).mp425.79 MB
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  718. 33. Appendix 3 Numpy, Pandas, Matplotlib and Seaborn Crash Course/5. Vectorized Operations with Numpy Arrays.mp418.73 MB
  719. 33. Appendix 3 Numpy, Pandas, Matplotlib and Seaborn Crash Course/5. Vectorized Operations with Numpy Arrays.srt4.59 KB
  720. 33. Appendix 3 Numpy, Pandas, Matplotlib and Seaborn Crash Course/50. Advanced Filtering with between(), isin() and ~.mp454.43 MB
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  722. 33. Appendix 3 Numpy, Pandas, Matplotlib and Seaborn Crash Course/51. Intro to NA Values missing Values.mp438.16 MB
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  724. 33. Appendix 3 Numpy, Pandas, Matplotlib and Seaborn Crash Course/52. Handling NA Values missing Values.mp456.25 MB
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  726. 33. Appendix 3 Numpy, Pandas, Matplotlib and Seaborn Crash Course/53. Exporting DataFrames to csv.mp410.59 MB
  727. 33. Appendix 3 Numpy, Pandas, Matplotlib and Seaborn Crash Course/53. Exporting DataFrames to csv.srt2.63 KB
  728. 33. Appendix 3 Numpy, Pandas, Matplotlib and Seaborn Crash Course/54. Summary Statistics and Accumulations.mp446.93 MB
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  730. 33. Appendix 3 Numpy, Pandas, Matplotlib and Seaborn Crash Course/55. Visualization with Matplotlib (Intro).mp459.12 MB
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  732. 33. Appendix 3 Numpy, Pandas, Matplotlib and Seaborn Crash Course/56. Customization of Plots.mp484.12 MB
  733. 33. Appendix 3 Numpy, Pandas, Matplotlib and Seaborn Crash Course/56. Customization of Plots.srt14.45 KB
  734. 33. Appendix 3 Numpy, Pandas, Matplotlib and Seaborn Crash Course/57. Histogramms (Part 1).mp420.46 MB
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  736. 33. Appendix 3 Numpy, Pandas, Matplotlib and Seaborn Crash Course/58. Histogramms (Part 2).mp428.85 MB
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  738. 33. Appendix 3 Numpy, Pandas, Matplotlib and Seaborn Crash Course/59. Scatterplots.mp429.46 MB
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  740. 33. Appendix 3 Numpy, Pandas, Matplotlib and Seaborn Crash Course/6. Changing Elements in Numpy Arrays & Mutability.mp424.52 MB
  741. 33. Appendix 3 Numpy, Pandas, Matplotlib and Seaborn Crash Course/6. Changing Elements in Numpy Arrays & Mutability.srt6.65 KB
  742. 33. Appendix 3 Numpy, Pandas, Matplotlib and Seaborn Crash Course/6.1 Mutability_arrays.pdf121.74 KB
  743. 33. Appendix 3 Numpy, Pandas, Matplotlib and Seaborn Crash Course/60. First Steps with Seaborn.mp418.25 MB
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  745. 33. Appendix 3 Numpy, Pandas, Matplotlib and Seaborn Crash Course/61. Categorical Seaborn Plots.mp470.72 MB
  746. 33. Appendix 3 Numpy, Pandas, Matplotlib and Seaborn Crash Course/61. Categorical Seaborn Plots.srt16.75 KB
  747. 33. Appendix 3 Numpy, Pandas, Matplotlib and Seaborn Crash Course/62. Seaborn Regression Plots.mp466.52 MB
  748. 33. Appendix 3 Numpy, Pandas, Matplotlib and Seaborn Crash Course/62. Seaborn Regression Plots.srt14.25 KB
  749. 33. Appendix 3 Numpy, Pandas, Matplotlib and Seaborn Crash Course/63. Seaborn Heatmaps.mp435.71 MB
  750. 33. Appendix 3 Numpy, Pandas, Matplotlib and Seaborn Crash Course/63. Seaborn Heatmaps.srt10.32 KB
  751. 33. Appendix 3 Numpy, Pandas, Matplotlib and Seaborn Crash Course/64. Removing Columns.mp429.62 MB
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  753. 33. Appendix 3 Numpy, Pandas, Matplotlib and Seaborn Crash Course/65. Introduction to GroupBy Operations.mp48.09 MB
  754. 33. Appendix 3 Numpy, Pandas, Matplotlib and Seaborn Crash Course/65. Introduction to GroupBy Operations.srt2.69 KB
  755. 33. Appendix 3 Numpy, Pandas, Matplotlib and Seaborn Crash Course/66. Understanding the GroupBy Object.mp439.43 MB
  756. 33. Appendix 3 Numpy, Pandas, Matplotlib and Seaborn Crash Course/66. Understanding the GroupBy Object.srt10.04 KB
  757. 33. Appendix 3 Numpy, Pandas, Matplotlib and Seaborn Crash Course/67. Splitting with many Keys.mp442.24 MB
  758. 33. Appendix 3 Numpy, Pandas, Matplotlib and Seaborn Crash Course/67. Splitting with many Keys.srt8.30 KB
  759. 33. Appendix 3 Numpy, Pandas, Matplotlib and Seaborn Crash Course/68. split-apply-combine.mp440.10 MB
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  761. 33. Appendix 3 Numpy, Pandas, Matplotlib and Seaborn Crash Course/7. View vs. copy - potential Pitfalls when slicing Numpy Arrays.mp419.26 MB
  762. 33. Appendix 3 Numpy, Pandas, Matplotlib and Seaborn Crash Course/7. View vs. copy - potential Pitfalls when slicing Numpy Arrays.srt5.78 KB
  763. 33. Appendix 3 Numpy, Pandas, Matplotlib and Seaborn Crash Course/7.1 Slicing_arrays.pdf122.52 KB
  764. 33. Appendix 3 Numpy, Pandas, Matplotlib and Seaborn Crash Course/8. Numpy Array Methods and Attributes.mp421.98 MB
  765. 33. Appendix 3 Numpy, Pandas, Matplotlib and Seaborn Crash Course/8. Numpy Array Methods and Attributes.srt6.27 KB
  766. 33. Appendix 3 Numpy, Pandas, Matplotlib and Seaborn Crash Course/9. Numpy Universal Functions.mp417.77 MB
  767. 33. Appendix 3 Numpy, Pandas, Matplotlib and Seaborn Crash Course/9. Numpy Universal Functions.srt4.76 KB
  768. 34. What´s next (outlook and additional resources)/1. Bonus Lecture.html12.02 KB
  769. 4. FOREX Day Trading with FXCM/1. FXCM at a first glance.mp467.52 MB
  770. 4. FOREX Day Trading with FXCM/1. FXCM at a first glance.srt7.09 KB
  771. 4. FOREX Day Trading with FXCM/2. How to create an Account.mp453.89 MB
  772. 4. FOREX Day Trading with FXCM/2. How to create an Account.srt7.43 KB
  773. 4. FOREX Day Trading with FXCM/3. Example Trade Buying EURUSD.mp424.42 MB
  774. 4. FOREX Day Trading with FXCM/3. Example Trade Buying EURUSD.srt3.43 KB
  775. 4. FOREX Day Trading with FXCM/4. Trade Analysis.mp418.81 MB
  776. 4. FOREX Day Trading with FXCM/4. Trade Analysis.srt3.96 KB
  777. 4. FOREX Day Trading with FXCM/4.1 Long_EUR_fxcm.xlsx26.34 KB
  778. 4. FOREX Day Trading with FXCM/5. Charting.mp413.70 MB
  779. 4. FOREX Day Trading with FXCM/5. Charting.srt1.50 KB
  780. 4. FOREX Day Trading with FXCM/6. Closing Positions vs. Hedging Positions.mp418.49 MB
  781. 4. FOREX Day Trading with FXCM/6. Closing Positions vs. Hedging Positions.srt2.56 KB
  782. 4. FOREX Day Trading with FXCM/7. Order Types at a glance.mp427.53 MB
  783. 4. FOREX Day Trading with FXCM/7. Order Types at a glance.srt3.97 KB
  784. 4. FOREX Day Trading with FXCM/8. Trading Challenge.html511 bytes
  785. 5. Installing Python and Jupyter Notebooks/1. Introduction.mp48.91 MB
  786. 5. Installing Python and Jupyter Notebooks/1. Introduction.srt2.08 KB
  787. 5. Installing Python and Jupyter Notebooks/2. Download and Install Anaconda.mp460.88 MB
  788. 5. Installing Python and Jupyter Notebooks/2. Download and Install Anaconda.srt9.04 KB
  789. 5. Installing Python and Jupyter Notebooks/3. How to open Jupyter Notebooks.mp450.92 MB
  790. 5. Installing Python and Jupyter Notebooks/3. How to open Jupyter Notebooks.srt11.17 KB
  791. 5. Installing Python and Jupyter Notebooks/4. How to work with Jupyter Notebooks.mp453.46 MB
  792. 5. Installing Python and Jupyter Notebooks/4. How to work with Jupyter Notebooks.srt17.55 KB
  793. 5. Installing Python and Jupyter Notebooks/5. Tips for Python Beginners.mp46.20 MB
  794. 5. Installing Python and Jupyter Notebooks/5. Tips for Python Beginners.srt1.42 KB
  795. 6. Excursus How to avoid and debug Coding Errors (don´t skip!)/1. Introduction.mp417.15 MB
  796. 6. Excursus How to avoid and debug Coding Errors (don´t skip!)/1. Introduction.srt3.70 KB
  797. 6. Excursus How to avoid and debug Coding Errors (don´t skip!)/10. Getting help on StackOverflow.com.mp439.52 MB
  798. 6. Excursus How to avoid and debug Coding Errors (don´t skip!)/10. Getting help on StackOverflow.com.srt7.40 KB
  799. 6. Excursus How to avoid and debug Coding Errors (don´t skip!)/11. How to traceback more complex Errors.mp496.84 MB
  800. 6. Excursus How to avoid and debug Coding Errors (don´t skip!)/11. How to traceback more complex Errors.srt11.48 KB
  801. 6. Excursus How to avoid and debug Coding Errors (don´t skip!)/12. Problems with the Python Installation.mp434.00 MB
  802. 6. Excursus How to avoid and debug Coding Errors (don´t skip!)/12. Problems with the Python Installation.srt7.41 KB
  803. 6. Excursus How to avoid and debug Coding Errors (don´t skip!)/13. External Factors and Issues.mp417.43 MB
  804. 6. Excursus How to avoid and debug Coding Errors (don´t skip!)/13. External Factors and Issues.srt5.22 KB
  805. 6. Excursus How to avoid and debug Coding Errors (don´t skip!)/14. Errors related to the course content (Transcription Errors).mp416.40 MB
  806. 6. Excursus How to avoid and debug Coding Errors (don´t skip!)/14. Errors related to the course content (Transcription Errors).srt5.12 KB
  807. 6. Excursus How to avoid and debug Coding Errors (don´t skip!)/15. Summary and Debugging Flow-Chart.mp426.36 MB
  808. 6. Excursus How to avoid and debug Coding Errors (don´t skip!)/15. Summary and Debugging Flow-Chart.srt8.73 KB
  809. 6. Excursus How to avoid and debug Coding Errors (don´t skip!)/2. Test your debugging skills!.mp458.59 MB
  810. 6. Excursus How to avoid and debug Coding Errors (don´t skip!)/2. Test your debugging skills!.srt11.65 KB
  811. 6. Excursus How to avoid and debug Coding Errors (don´t skip!)/3. Major reasons for Coding Errors.mp45.39 MB
  812. 6. Excursus How to avoid and debug Coding Errors (don´t skip!)/3. Major reasons for Coding Errors.srt1.49 KB
  813. 6. Excursus How to avoid and debug Coding Errors (don´t skip!)/4. The most commonly made Errors at a glance.mp435.49 MB
  814. 6. Excursus How to avoid and debug Coding Errors (don´t skip!)/4. The most commonly made Errors at a glance.srt6.70 KB
  815. 6. Excursus How to avoid and debug Coding Errors (don´t skip!)/5. Omitting cells, changing the sequence and more.mp450.01 MB
  816. 6. Excursus How to avoid and debug Coding Errors (don´t skip!)/5. Omitting cells, changing the sequence and more.srt8.11 KB
  817. 6. Excursus How to avoid and debug Coding Errors (don´t skip!)/6. IndexErrors.mp431.09 MB
  818. 6. Excursus How to avoid and debug Coding Errors (don´t skip!)/6. IndexErrors.srt5.29 KB
  819. 6. Excursus How to avoid and debug Coding Errors (don´t skip!)/7. Indentation Errors.mp412.21 MB
  820. 6. Excursus How to avoid and debug Coding Errors (don´t skip!)/7. Indentation Errors.srt4.19 KB
  821. 6. Excursus How to avoid and debug Coding Errors (don´t skip!)/8. Misuse of function names and keywords.mp412.37 MB
  822. 6. Excursus How to avoid and debug Coding Errors (don´t skip!)/8. Misuse of function names and keywords.srt3.16 KB
  823. 6. Excursus How to avoid and debug Coding Errors (don´t skip!)/9. TypeErrors and ValueErrors.mp416.75 MB
  824. 6. Excursus How to avoid and debug Coding Errors (don´t skip!)/9. TypeErrors and ValueErrors.srt4.32 KB
  825. 6. Excursus How to avoid and debug Coding Errors (don´t skip!)/GetFreeCourses.Co.url116 bytes
  826. 6. Excursus How to avoid and debug Coding Errors (don´t skip!)/How you can help GetFreeCourses.Co.txt182 bytes
  827. 7. Trading with Python and OANDAFXCM - an Introduction/1. How to maximize your learning experience.html203 bytes
  828. 7. Trading with Python and OANDAFXCM - an Introduction/10. OANDA How to place Orders and execute Trades.mp485.46 MB
  829. 7. Trading with Python and OANDAFXCM - an Introduction/10. OANDA How to place Orders and execute Trades.srt10.42 KB
  830. 7. Trading with Python and OANDAFXCM - an Introduction/11. Trading Challenge.html446 bytes
  831. 7. Trading with Python and OANDAFXCM - an Introduction/12. FXCM Commands to install required packages.html626 bytes
  832. 7. Trading with Python and OANDAFXCM - an Introduction/13. FXCM How to install the FXCM API Wrapper.mp432.54 MB
  833. 7. Trading with Python and OANDAFXCM - an Introduction/13. FXCM How to install the FXCM API Wrapper.srt3.52 KB
  834. 7. Trading with Python and OANDAFXCM - an Introduction/14. FXCM Getting the Access Token & other Preparations.mp421.07 MB
  835. 7. Trading with Python and OANDAFXCM - an Introduction/14. FXCM Getting the Access Token & other Preparations.srt3.36 KB
  836. 7. Trading with Python and OANDAFXCM - an Introduction/14.1 FXCM_firststeps.zip1.48 KB
  837. 7. Trading with Python and OANDAFXCM - an Introduction/15. FXCM Connecting to the APIServer.mp442.81 MB
  838. 7. Trading with Python and OANDAFXCM - an Introduction/15. FXCM Connecting to the APIServer.srt8.08 KB
  839. 7. Trading with Python and OANDAFXCM - an Introduction/16. Troubleshooting FXCM Server Connection Issues.html4.04 KB
  840. 7. Trading with Python and OANDAFXCM - an Introduction/17. FXCM How to load Historical Price Data (Part 1).mp451.78 MB
  841. 7. Trading with Python and OANDAFXCM - an Introduction/17. FXCM How to load Historical Price Data (Part 1).srt6.85 KB
  842. 7. Trading with Python and OANDAFXCM - an Introduction/18. FXCM How to load Historical Price Data (Part 2).mp443.26 MB
  843. 7. Trading with Python and OANDAFXCM - an Introduction/18. FXCM How to load Historical Price Data (Part 2).srt5.24 KB
  844. 7. Trading with Python and OANDAFXCM - an Introduction/19. FXCM Streaming high-frequency real-time Data.mp447.68 MB
  845. 7. Trading with Python and OANDAFXCM - an Introduction/19. FXCM Streaming high-frequency real-time Data.srt7.20 KB
  846. 7. Trading with Python and OANDAFXCM - an Introduction/2. Overview.mp44.52 MB
  847. 7. Trading with Python and OANDAFXCM - an Introduction/2. Overview.srt1.33 KB
  848. 7. Trading with Python and OANDAFXCM - an Introduction/20. FXCM How to place Orders and execute Trades.mp445.97 MB
  849. 7. Trading with Python and OANDAFXCM - an Introduction/20. FXCM How to place Orders and execute Trades.srt7.79 KB
  850. 7. Trading with Python and OANDAFXCM - an Introduction/21. Trading Challenge.html445 bytes
  851. 7. Trading with Python and OANDAFXCM - an Introduction/3. OANDA Commands to install required packages.html409 bytes
  852. 7. Trading with Python and OANDAFXCM - an Introduction/4. OANDA How to install the OANDA API Wrapper.mp428.38 MB
  853. 7. Trading with Python and OANDAFXCM - an Introduction/4. OANDA How to install the OANDA API Wrapper.srt3.65 KB
  854. 7. Trading with Python and OANDAFXCM - an Introduction/5. OANDA Getting the API Key & other Preparations.mp431.49 MB
  855. 7. Trading with Python and OANDAFXCM - an Introduction/5. OANDA Getting the API Key & other Preparations.srt5.74 KB
  856. 7. Trading with Python and OANDAFXCM - an Introduction/5.1 Oanda_firststeps.zip1.23 KB
  857. 7. Trading with Python and OANDAFXCM - an Introduction/6. OANDA Connecting to the APIServer.mp448.32 MB
  858. 7. Trading with Python and OANDAFXCM - an Introduction/6. OANDA Connecting to the APIServer.srt8.17 KB
  859. 7. Trading with Python and OANDAFXCM - an Introduction/7. OANDA How to load Historical Price Data (Part 1).mp457.36 MB
  860. 7. Trading with Python and OANDAFXCM - an Introduction/7. OANDA How to load Historical Price Data (Part 1).srt8.30 KB
  861. 7. Trading with Python and OANDAFXCM - an Introduction/8. OANDA How to load Historical Price Data (Part 2).mp433.46 MB
  862. 7. Trading with Python and OANDAFXCM - an Introduction/8. OANDA How to load Historical Price Data (Part 2).srt4.03 KB
  863. 7. Trading with Python and OANDAFXCM - an Introduction/9. OANDA Streaming high-frequency real-time Data.mp425.80 MB
  864. 7. Trading with Python and OANDAFXCM - an Introduction/9. OANDA Streaming high-frequency real-time Data.srt4.00 KB
  865. 8. Conclusion and Outlook/1. Conclusion and Outlook.mp43.95 MB
  866. 8. Conclusion and Outlook/1. Conclusion and Outlook.srt928 bytes
  867. 9. +++ PART 2 Pandas for Financial Data Analysis and Introduction to OOP +++/1. Introduction and Downloads Part 2.mp417.93 MB
  868. 9. +++ PART 2 Pandas for Financial Data Analysis and Introduction to OOP +++/1. Introduction and Downloads Part 2.srt3.32 KB
  869. 9. +++ PART 2 Pandas for Financial Data Analysis and Introduction to OOP +++/1.1 Part2_Materials.zip1.85 MB
  870. Download Paid Udemy Courses For Free.url116 bytes
  871. GetFreeCourses.Co.url116 bytes
  872. How you can help GetFreeCourses.Co.txt182 bytes