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1. Algorithmic Trading Section Introduction.mp4
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MP4
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14 MB
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1. Algorithmic Trading Section Introduction.srt
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SRT
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3.6 KB
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1. Anaconda Environment Setup.mp4
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MP4
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180.8 MB
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1. Anaconda Environment Setup.srt
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SRT
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19.7 KB
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1. Colab Notebooks.html
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HTML
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307.2 B
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1. Financial Basics Section Introduction.mp4
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MP4
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29 MB
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1. Financial Basics Section Introduction.srt
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SRT
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7.4 KB
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1. How to Code by Yourself (part 1).mp4
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MP4
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71.8 MB
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1. How to Code by Yourself (part 1).srt
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SRT
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22.6 KB
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1. How to Succeed in this Course (Long Version).mp4
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MP4
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35.2 MB
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1. How to Succeed in this Course (Long Version).srt
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SRT
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14.7 KB
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1. Introduction and Outline.mp4
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MP4
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46.8 MB
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1. Introduction and Outline.srt
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SRT
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9.6 KB
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1. Portfolio Optimization Section Introduction.mp4
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MP4
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24.4 MB
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1. Portfolio Optimization Section Introduction.srt
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SRT
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4.8 KB
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1. Reinforcement Learning Section Introduction.mp4
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MP4
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40.9 MB
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1. Reinforcement Learning Section Introduction.srt
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SRT
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8.7 KB
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1. Statistical Factor Models (Beginner).mp4
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MP4
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63.4 MB
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1. Statistical Factor Models (Beginner).srt
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SRT
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21.2 KB
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1. Time Series Analysis Section Introduction.mp4
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MP4
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31.8 MB
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1. Time Series Analysis Section Introduction.srt
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SRT
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9.3 KB
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1. Trading APIs and Deploying Your Strategy in the Real World.mp4
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MP4
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31.9 MB
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1. Trading APIs and Deploying Your Strategy in the Real World.srt
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SRT
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7.6 KB
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1. Trend-Following Strategy with Reinforcement Learning API.mp4
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MP4
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49.6 MB
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1. Trend-Following Strategy with Reinforcement Learning API.srt
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SRT
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15.7 KB
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1. What is the Appendix.mp4
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MP4
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16.4 MB
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1. What is the Appendix.srt
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SRT
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3.8 KB
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1. Why Sequence Models (pt 1).mp4
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MP4
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49.4 MB
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1. Why Sequence Models (pt 1).srt
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SRT
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18.7 KB
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10. Adjusted Close (Code).mp4
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MP4
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20.9 MB
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10. Adjusted Close (Code).srt
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SRT
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4.6 KB
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10. Epsilon-Greedy.mp4
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MP4
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41.6 MB
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10. Epsilon-Greedy.srt
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SRT
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7.4 KB
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10. Maximum and Minimum Portfolio Return in Code.mp4
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MP4
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28 MB
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10. Maximum and Minimum Portfolio Return in Code.srt
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SRT
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5.8 KB
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10. Simple Exponential Smoothing for Forecasting (Code).mp4
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MP4
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59.2 MB
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10. Simple Exponential Smoothing for Forecasting (Code).srt
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SRT
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12.6 KB
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11. Back to Returns (Code).mp4
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MP4
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45.7 MB
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11. Back to Returns (Code).srt
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SRT
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9.1 KB
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11. Holt's Linear Trend Model (Theory).mp4
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MP4
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33 MB
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11. Holt's Linear Trend Model (Theory).srt
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SRT
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10.1 KB
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11. Mean-Variance Optimization.mp4
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MP4
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31.6 MB
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11. Mean-Variance Optimization.srt
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SRT
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10 KB
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11. Q-Learning.mp4
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MP4
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66.9 MB
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11. Q-Learning.srt
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SRT
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18 KB
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12. Holt's Linear Trend Model (Code).mp4
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MP4
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18.7 MB
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12. Holt's Linear Trend Model (Code).srt
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SRT
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3.4 KB
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12. How to Learn Reinforcement Learning.mp4
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MP4
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40.4 MB
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12. How to Learn Reinforcement Learning.srt
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SRT
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7.6 KB
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12. QQ-Plots.mp4
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MP4
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20.7 MB
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12. QQ-Plots.srt
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SRT
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7.2 KB
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12. The Efficient Frontier.mp4
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MP4
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30.7 MB
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12. The Efficient Frontier.srt
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SRT
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9.5 KB
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13. Holt-Winters (Theory).mp4
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MP4
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48.8 MB
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13. Holt-Winters (Theory).srt
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SRT
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15 KB
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13. Mean-Variance Optimization And The Efficient Frontier in Code.mp4
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MP4
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53.3 MB
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13. Mean-Variance Optimization And The Efficient Frontier in Code.srt
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SRT
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11.2 KB
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13. QQ-Plots (Code).mp4
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MP4
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35.3 MB
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13. QQ-Plots (Code).srt
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SRT
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9.9 KB
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14. Global Minimum Variance (GMV) Portfolio.mp4
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MP4
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8.6 MB
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14. Global Minimum Variance (GMV) Portfolio.srt
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SRT
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2.3 KB
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14. Holt-Winters (Code).mp4
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MP4
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52.5 MB
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14. Holt-Winters (Code).srt
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SRT
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9.8 KB
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14. The t-Distribution.mp4
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MP4
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19.7 MB
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14. The t-Distribution.srt
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SRT
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5.1 KB
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15. Autoregressive Models - AR(p).mp4
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MP4
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53.6 MB
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15. Autoregressive Models - AR(p).srt
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SRT
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16.7 KB
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15. Global Minimum Variance (GMV) Portfolio in Code.mp4
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MP4
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13.6 MB
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15. Global Minimum Variance (GMV) Portfolio in Code.srt
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SRT
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2.5 KB
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15. The t-Distribution (Code).mp4
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MP4
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50.7 MB
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15. The t-Distribution (Code).srt
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SRT
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10.5 KB
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16. Moving Average Models - MA(q).mp4
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MP4
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10.9 MB
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16. Moving Average Models - MA(q).srt
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SRT
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4.2 KB
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16. Sharpe Ratio.mp4
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MP4
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37.6 MB
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16. Sharpe Ratio.srt
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SRT
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10 KB
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16. Skewness and Kurtosis.mp4
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MP4
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34.6 MB
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16. Skewness and Kurtosis.srt
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SRT
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10.4 KB
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17. ARIMA.mp4
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MP4
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42.7 MB
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17. ARIMA.srt
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SRT
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13.8 KB
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17. Confidence Intervals.mp4
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MP4
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38.8 MB
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17. Confidence Intervals.srt
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SRT
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13.7 KB
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17. Maximum Sharpe Ratio in Code.mp4
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MP4
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43.7 MB
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17. Maximum Sharpe Ratio in Code.srt
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SRT
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8.3 KB
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18. ARIMA in Code (pt 1).mp4
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MP4
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135.2 MB
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18. ARIMA in Code (pt 1).srt
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SRT
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24.5 KB
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18. Confidence Intervals (Code).mp4
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MP4
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12.3 MB
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18. Confidence Intervals (Code).srt
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SRT
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2.8 KB
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18. Portfolio with a Risk-Free Asset and Tangency Portfolio.mp4
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MP4
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37.8 MB
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18. Portfolio with a Risk-Free Asset and Tangency Portfolio.srt
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SRT
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12.4 KB
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19. Risk-Free Asset and Tangency Portfolio in Code.mp4
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MP4
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13.6 MB
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19. Risk-Free Asset and Tangency Portfolio in Code.srt
|
SRT
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2.6 KB
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19. Stationarity.mp4
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MP4
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49.6 MB
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19. Stationarity.srt
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SRT
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16.3 KB
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19. Statistical Testing.mp4
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MP4
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60.7 MB
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19. Statistical Testing.srt
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SRT
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20.8 KB
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2. BONUS Lecture.mp4
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MP4
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37.8 MB
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2. BONUS Lecture.srt
|
SRT
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7.8 KB
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2. Efficient Market Hypothesis.mp4
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MP4
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54.8 MB
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2. Efficient Market Hypothesis.srt
|
SRT
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16.1 KB
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2. Elements of a Reinforcement Learning Problem.mp4
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MP4
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105.2 MB
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2. Elements of a Reinforcement Learning Problem.srt
|
SRT
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25.9 KB
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2. Getting Financial Data.mp4
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MP4
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41.9 MB
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2. Getting Financial Data.srt
|
SRT
|
9.9 KB
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2. High Frequency Trading (HFT).mp4
|
MP4
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22 MB
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2. High Frequency Trading (HFT).srt
|
SRT
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5.3 KB
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2. How to Code by Yourself (part 2).mp4
|
MP4
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49.2 MB
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2. How to Code by Yourself (part 2).srt
|
SRT
|
13.2 KB
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2. How to install Numpy, Scipy, Matplotlib, Pandas, IPython, Theano, and TensorFlow.mp4
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MP4
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150.6 MB
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2. How to install Numpy, Scipy, Matplotlib, Pandas, IPython, Theano, and TensorFlow.srt
|
SRT
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14.1 KB
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2. Is this for Beginners or Experts Academic or Practical Fast or slow-paced.mp4
|
MP4
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105.6 MB
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2. Is this for Beginners or Experts Academic or Practical Fast or slow-paced.srt
|
SRT
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31.9 KB
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2. Statistical Factor Models (Intermediate).mp4
|
MP4
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40.5 MB
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2. Statistical Factor Models (Intermediate).srt
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SRT
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13.1 KB
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2. The S&P500.mp4
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MP4
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11.7 MB
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2. The S&P500.srt
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SRT
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3.3 KB
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2. Trend-Following Strategy Revisited (Code).mp4
|
MP4
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55.8 MB
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2. Trend-Following Strategy Revisited (Code).srt
|
SRT
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10.5 KB
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2. Trend-Following Strategy.mp4
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MP4
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55.9 MB
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2. Trend-Following Strategy.srt
|
SRT
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18 KB
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2. VIP Finance Enthusiasts, Beware of Marketers!.mp4
|
MP4
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13.5 MB
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2. VIP Finance Enthusiasts, Beware of Marketers!.srt
|
SRT
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2.8 KB
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2. Where to get the code.mp4
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MP4
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44.2 MB
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2. Where to get the code.srt
|
SRT
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12.4 KB
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2. Why Sequence Models (pt 2).mp4
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MP4
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41.2 MB
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2. Why Sequence Models (pt 2).srt
|
SRT
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16 KB
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2.1 Github Link.html
|
HTML
|
102.4 B
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20. Capital Asset Pricing Model (CAPM).mp4
|
MP4
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52.2 MB
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20. Capital Asset Pricing Model (CAPM).srt
|
SRT
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16 KB
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20. Stationarity Code.mp4
|
MP4
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64.5 MB
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20. Stationarity Code.srt
|
SRT
|
10.8 KB
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20. Statistical Testing (Code).mp4
|
MP4
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41.9 MB
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20. Statistical Testing (Code).srt
|
SRT
|
9.1 KB
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21. ACF (Autocorrelation Function).mp4
|
MP4
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37.3 MB
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21. ACF (Autocorrelation Function).srt
|
SRT
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13 KB
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21. Covariance and Correlation.mp4
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MP4
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32.9 MB
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21. Covariance and Correlation.srt
|
SRT
|
10.8 KB
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21. Problems with Markowitz Portfolio Theory and Robust Estimation.mp4
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MP4
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48.1 MB
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21. Problems with Markowitz Portfolio Theory and Robust Estimation.srt
|
SRT
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12.2 KB
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22. Covariance and Correlation (Code).mp4
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MP4
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38.9 MB
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22. Covariance and Correlation (Code).srt
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SRT
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7.1 KB
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22. PACF (Partial Autocorrelation Funtion).mp4
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MP4
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26.2 MB
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22. PACF (Partial Autocorrelation Funtion).srt
|
SRT
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8 KB
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22. Portfolio Optimization Section Conclusion.mp4
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MP4
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17.5 MB
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22. Portfolio Optimization Section Conclusion.srt
|
SRT
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2.9 KB
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23. ACF and PACF in Code (pt 1).mp4
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MP4
|
42.3 MB
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23. ACF and PACF in Code (pt 1).srt
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SRT
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9.3 KB
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23. Alpha and Beta.mp4
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MP4
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28.8 MB
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23. Alpha and Beta.srt
|
SRT
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9.3 KB
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24. ACF and PACF in Code (pt 2).mp4
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MP4
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35.4 MB
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24. ACF and PACF in Code (pt 2).srt
|
SRT
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8 KB
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24. Alpha and Beta (Code).mp4
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MP4
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45.8 MB
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24. Alpha and Beta (Code).srt
|
SRT
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10.4 KB
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25. Auto ARIMA and SARIMAX.mp4
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MP4
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40.6 MB
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25. Auto ARIMA and SARIMAX.srt
|
SRT
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12.3 KB
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25. Mixture of Gaussians.mp4
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MP4
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29.3 MB
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25. Mixture of Gaussians.srt
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SRT
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9.2 KB
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26. Mixture of Gaussians (Code).mp4
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MP4
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33.5 MB
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26. Mixture of Gaussians (Code).srt
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SRT
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8.2 KB
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26. Model Selection, AIC and BIC.mp4
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MP4
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47.3 MB
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26. Model Selection, AIC and BIC.srt
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SRT
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13.5 KB
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27. ARIMA in Code (pt 2).mp4
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MP4
|
109.8 MB
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27. ARIMA in Code (pt 2).srt
|
SRT
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16.7 KB
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27. Volatility Clustering.mp4
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MP4
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18.5 MB
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27. Volatility Clustering.srt
|
SRT
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3.9 KB
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28. ARIMA in Code (pt 3).mp4
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MP4
|
112 MB
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28. ARIMA in Code (pt 3).srt
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SRT
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18.1 KB
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28. Price Simulation.mp4
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MP4
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12 MB
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28. Price Simulation.srt
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SRT
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4 KB
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29. ACF and PACF for Stock Returns.mp4
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MP4
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48.9 MB
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29. ACF and PACF for Stock Returns.srt
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SRT
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8.4 KB
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29. Price Simulation (Code).mp4
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MP4
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12.2 MB
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29. Price Simulation (Code).srt
|
SRT
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3.1 KB
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3. Getting Financial Data (Code).mp4
|
MP4
|
62.6 MB
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3. Getting Financial Data (Code).srt
|
SRT
|
9.5 KB
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3. HMM Parameters.mp4
|
MP4
|
37.4 MB
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3. HMM Parameters.srt
|
SRT
|
12.4 KB
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3. Machine Learning and AI Prerequisite Roadmap (pt 1).mp4
|
MP4
|
79.6 MB
|
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3. Machine Learning and AI Prerequisite Roadmap (pt 1).srt
|
SRT
|
16.8 KB
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3. Proof that using Jupyter Notebook is the same as not using it.mp4
|
MP4
|
69.4 MB
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3. Proof that using Jupyter Notebook is the same as not using it.srt
|
SRT
|
14 KB
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3. Q-Learning in an Algorithmic Trading Context.mp4
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MP4
|
29.7 MB
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3. Q-Learning in an Algorithmic Trading Context.srt
|
SRT
|
9.3 KB
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3. Random Walk Hypothesis.mp4
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MP4
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71.5 MB
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3. Random Walk Hypothesis.srt
|
SRT
|
19.1 KB
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3. Scope of the course.mp4
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MP4
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24.4 MB
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3. Scope of the course.srt
|
SRT
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5.2 KB
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3. States, Actions, Rewards, Policies.mp4
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MP4
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44.2 MB
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3. States, Actions, Rewards, Policies.srt
|
SRT
|
11.7 KB
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3. Statistical Factor Models (Advanced).mp4
|
MP4
|
73.1 MB
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3. Statistical Factor Models (Advanced).srt
|
SRT
|
25.4 KB
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3. Trend-Following Strategy in Code (pt 1).mp4
|
MP4
|
63.8 MB
|
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3. Trend-Following Strategy in Code (pt 1).srt
|
SRT
|
9.4 KB
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3. What is Risk.mp4
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MP4
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30.5 MB
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3. What is Risk.srt
|
SRT
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9.4 KB
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30. Financial Basics Section Summary.mp4
|
MP4
|
10 MB
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30. Financial Basics Section Summary.srt
|
SRT
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3.1 KB
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30. Forecasting.mp4
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MP4
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39.3 MB
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30. Forecasting.srt
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SRT
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12.1 KB
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31. Suggestion Box.mp4
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MP4
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16.1 MB
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31. Suggestion Box.srt
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SRT
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4.7 KB
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31. Time Series Analysis Section Conclusion.mp4
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MP4
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18.1 MB
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31. Time Series Analysis Section Conclusion.srt
|
SRT
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5.3 KB
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4. HMM Tasks and the Viterbi Algorithm.mp4
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MP4
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65 MB
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4. HMM Tasks and the Viterbi Algorithm.srt
|
SRT
|
19.2 KB
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4. How to Practice.mp4
|
MP4
|
24.5 MB
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4. How to Practice.srt
|
SRT
|
5.2 KB
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4. Machine Learning and AI Prerequisite Roadmap (pt 2).mp4
|
MP4
|
108.2 MB
|
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4. Machine Learning and AI Prerequisite Roadmap (pt 2).srt
|
SRT
|
23.5 KB
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4. Markov Decision Processes (MDPs).mp4
|
MP4
|
50.7 MB
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4. Markov Decision Processes (MDPs).srt
|
SRT
|
12.7 KB
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4. Representing States.mp4
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MP4
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32.6 MB
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4. Representing States.srt
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SRT
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9.6 KB
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4. Statistical Factor Models (Code).mp4
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MP4
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101 MB
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4. Statistical Factor Models (Code).srt
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SRT
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18.6 KB
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4. The Naive Forecast.mp4
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MP4
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30.9 MB
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4. The Naive Forecast.srt
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SRT
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9.2 KB
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4. Trend-Following Strategy in Code (pt 2).mp4
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MP4
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69.1 MB
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4. Trend-Following Strategy in Code (pt 2).srt
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SRT
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12 KB
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4. Understanding Financial Data.mp4
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MP4
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28.5 MB
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4. Understanding Financial Data.srt
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SRT
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6.6 KB
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4. Why Diversify.mp4
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MP4
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33.2 MB
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4. Why Diversify.srt
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SRT
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10.5 KB
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5. Describing a Portfolio (pt 1).mp4
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MP4
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36.5 MB
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5. Describing a Portfolio (pt 1).srt
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SRT
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12.3 KB
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5. HMM for Modeling Volatility Clustering in Code.mp4
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MP4
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102 MB
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5. HMM for Modeling Volatility Clustering in Code.srt
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SRT
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24.1 KB
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5. Machine Learning-Based Trading Strategy.mp4
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MP4
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33.3 MB
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5. Machine Learning-Based Trading Strategy.srt
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SRT
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10.3 KB
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5. Q-Learning for Algorithmic Trading in Code.mp4
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MP4
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103 MB
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5. Q-Learning for Algorithmic Trading in Code.srt
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SRT
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18.5 KB
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5. Simple Moving Average (Theory).mp4
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MP4
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19.9 MB
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5. Simple Moving Average (Theory).srt
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SRT
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5.7 KB
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5. The Return.mp4
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MP4
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23.5 MB
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5. The Return.srt
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SRT
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6.3 KB
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5. Understanding Financial Data (Code).mp4
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MP4
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75.5 MB
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5. Understanding Financial Data (Code).srt
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SRT
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15.1 KB
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5. Warmup (Optional).mp4
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MP4
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23.2 MB
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5. Warmup (Optional).srt
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SRT
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6.1 KB
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6. Dealing with Missing Data.mp4
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MP4
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28.2 MB
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6. Dealing with Missing Data.srt
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SRT
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7.8 KB
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6. Describing a Portfolio (pt 2).mp4
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MP4
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22.8 MB
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6. Describing a Portfolio (pt 2).srt
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SRT
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7.9 KB
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6. Machine Learning-Based Trading Strategy in Code.mp4
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MP4
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69.5 MB
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6. Machine Learning-Based Trading Strategy in Code.srt
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SRT
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10.4 KB
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6. Simple Moving Average (Code).mp4
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MP4
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55.7 MB
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6. Simple Moving Average (Code).srt
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SRT
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9.5 KB
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6. Value Functions and the Bellman Equation.mp4
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MP4
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47.9 MB
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6. Value Functions and the Bellman Equation.srt
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SRT
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12.6 KB
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7. Classification-Based Trading Strategy in Code.mp4
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MP4
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25.1 MB
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7. Classification-Based Trading Strategy in Code.srt
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SRT
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4.2 KB
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7. Dealing with Missing Data (Code).mp4
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MP4
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37.7 MB
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7. Dealing with Missing Data (Code).srt
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SRT
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8.9 KB
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7. Exponentially-Weighted Moving Average (Theory).mp4
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MP4
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37.8 MB
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7. Exponentially-Weighted Moving Average (Theory).srt
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SRT
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14.6 KB
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7. Visualizing Random Portfolios and Monte Carlo Simulation (pt 1).mp4
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MP4
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73.4 MB
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7. Visualizing Random Portfolios and Monte Carlo Simulation (pt 1).srt
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SRT
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16.2 KB
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7. What does it mean to “learn”.mp4
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MP4
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31.8 MB
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7. What does it mean to “learn”.srt
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SRT
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8.9 KB
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8. Exponentially-Weighted Moving Average (Code).mp4
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MP4
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54.3 MB
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8. Exponentially-Weighted Moving Average (Code).srt
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SRT
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14.7 KB
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8. Returns.mp4
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MP4
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29.2 MB
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8. Returns.srt
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SRT
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11.7 KB
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8. Solving the Bellman Equation with Reinforcement Learning (pt 1).mp4
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MP4
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42.8 MB
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8. Solving the Bellman Equation with Reinforcement Learning (pt 1).srt
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SRT
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12.4 KB
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8. Using a Random Forest Classifier for Machine Learning-Based Trading.mp4
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MP4
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33 MB
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8. Using a Random Forest Classifier for Machine Learning-Based Trading.srt
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SRT
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5.5 KB
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8. Visualizing Random Portfolios and Monte Carlo Simulation (pt 2).mp4
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MP4
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88.7 MB
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8. Visualizing Random Portfolios and Monte Carlo Simulation (pt 2).srt
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SRT
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18.4 KB
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9. Adjusted Close, Stock Splits, and Dividends.mp4
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MP4
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47.4 MB
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9. Adjusted Close, Stock Splits, and Dividends.srt
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SRT
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16.2 KB
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9. Algorithmic Trading Section Summary.mp4
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MP4
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29.9 MB
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9. Algorithmic Trading Section Summary.srt
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SRT
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7.6 KB
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9. Maximum and Minimum Portfolio Return.mp4
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MP4
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32.7 MB
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9. Maximum and Minimum Portfolio Return.srt
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SRT
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12.5 KB
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9. Simple Exponential Smoothing for Forecasting (Theory).mp4
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MP4
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36.3 MB
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9. Simple Exponential Smoothing for Forecasting (Theory).srt
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SRT
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13.9 KB
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9. Solving the Bellman Equation with Reinforcement Learning (pt 2).mp4
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MP4
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57.2 MB
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9. Solving the Bellman Equation with Reinforcement Learning (pt 2).srt
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SRT
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14.8 KB
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[Tutorialsplanet.NET].url
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URL
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102.4 B
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