[Tutorialsplanet.NET] Udemy - Financial Engineering and Artificial Intelligence in Python

Creation Time	July 31, 2024, 6:57 a.m.
Last Access Time	Nov. 9, 2024, 7:12 p.m.
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Keywords	Tutorialsplanet and Financial Python Intelligence - Artificial Udemy Engineering in NET
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Total Files	281
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12. Setting Up Your Environment FAQ/1. Anaconda Environment Setup.mp4 180.8 MB
12. Setting Up Your Environment FAQ/2. How to install Numpy, Scipy, Matplotlib, Pandas, IPython, Theano, and TensorFlow.mp4 150.6 MB
3. Time Series Analysis/18. ARIMA in Code (pt 1).mp4 135.2 MB
3. Time Series Analysis/28. ARIMA in Code (pt 3).mp4 112.0 MB
3. Time Series Analysis/27. ARIMA in Code (pt 2).mp4 109.8 MB
14. Effective Learning Strategies for Machine Learning FAQ/4. Machine Learning and AI Prerequisite Roadmap (pt 2).mp4 108.2 MB
14. Effective Learning Strategies for Machine Learning FAQ/2. Is this for Beginners or Experts Academic or Practical Fast or slow-paced.mp4 105.6 MB
6. VIP The Basics of Reinforcement Learning/2. Elements of a Reinforcement Learning Problem.mp4 105.2 MB
7. VIP Reinforcement Learning for Algorithmic Trading/5. Q-Learning for Algorithmic Trading in Code.mp4 103.0 MB
9. VIP Regime Detection and Sequence Modeling with Hidden Markov Models/5. HMM for Modeling Volatility Clustering in Code.mp4 102.0 MB
8. VIP Statistical Factor Models and Unsupervised Machine Learning/4. Statistical Factor Models (Code).mp4 101.0 MB
4. Portfolio Optimization and CAPM/8. Visualizing Random Portfolios and Monte Carlo Simulation (pt 2).mp4 88.7 MB
14. Effective Learning Strategies for Machine Learning FAQ/3. Machine Learning and AI Prerequisite Roadmap (pt 1).mp4 79.6 MB
2. Financial Basics/5. Understanding Financial Data (Code).mp4 75.5 MB
4. Portfolio Optimization and CAPM/7. Visualizing Random Portfolios and Monte Carlo Simulation (pt 1).mp4 73.4 MB
8. VIP Statistical Factor Models and Unsupervised Machine Learning/3. Statistical Factor Models (Advanced).mp4 73.1 MB
13. Extra Help With Python Coding for Beginners FAQ/1. How to Code by Yourself (part 1).mp4 71.8 MB
3. Time Series Analysis/3. Random Walk Hypothesis.mp4 71.5 MB
5. VIP Algorithmic Trading/6. Machine Learning-Based Trading Strategy in Code.mp4 69.5 MB
13. Extra Help With Python Coding for Beginners FAQ/3. Proof that using Jupyter Notebook is the same as not using it.mp4 69.4 MB
5. VIP Algorithmic Trading/4. Trend-Following Strategy in Code (pt 2).mp4 69.1 MB
6. VIP The Basics of Reinforcement Learning/11. Q-Learning.mp4 66.9 MB
9. VIP Regime Detection and Sequence Modeling with Hidden Markov Models/4. HMM Tasks and the Viterbi Algorithm.mp4 65.0 MB
3. Time Series Analysis/20. Stationarity Code.mp4 64.5 MB
5. VIP Algorithmic Trading/3. Trend-Following Strategy in Code (pt 1).mp4 63.8 MB
8. VIP Statistical Factor Models and Unsupervised Machine Learning/1. Statistical Factor Models (Beginner).mp4 63.4 MB
2. Financial Basics/3. Getting Financial Data (Code).mp4 62.6 MB
2. Financial Basics/19. Statistical Testing.mp4 60.7 MB
3. Time Series Analysis/10. Simple Exponential Smoothing for Forecasting (Code).mp4 59.2 MB
6. VIP The Basics of Reinforcement Learning/9. Solving the Bellman Equation with Reinforcement Learning (pt 2).mp4 57.2 MB
5. VIP Algorithmic Trading/2. Trend-Following Strategy.mp4 55.9 MB
7. VIP Reinforcement Learning for Algorithmic Trading/2. Trend-Following Strategy Revisited (Code).mp4 55.8 MB
3. Time Series Analysis/6. Simple Moving Average (Code).mp4 55.7 MB
3. Time Series Analysis/2. Efficient Market Hypothesis.mp4 54.8 MB
3. Time Series Analysis/8. Exponentially-Weighted Moving Average (Code).mp4 54.3 MB
3. Time Series Analysis/15. Autoregressive Models - AR(p).mp4 53.6 MB
4. Portfolio Optimization and CAPM/13. Mean-Variance Optimization And The Efficient Frontier in Code.mp4 53.3 MB
3. Time Series Analysis/14. Holt-Winters (Code).mp4 52.5 MB
4. Portfolio Optimization and CAPM/20. Capital Asset Pricing Model (CAPM).mp4 52.2 MB
2. Financial Basics/15. The t-Distribution (Code).mp4 50.7 MB
6. VIP The Basics of Reinforcement Learning/4. Markov Decision Processes (MDPs).mp4 50.7 MB
7. VIP Reinforcement Learning for Algorithmic Trading/1. Trend-Following Strategy with Reinforcement Learning API.mp4 49.6 MB
3. Time Series Analysis/19. Stationarity.mp4 49.6 MB
9. VIP Regime Detection and Sequence Modeling with Hidden Markov Models/1. Why Sequence Models (pt 1).mp4 49.4 MB
13. Extra Help With Python Coding for Beginners FAQ/2. How to Code by Yourself (part 2).mp4 49.2 MB
3. Time Series Analysis/29. ACF and PACF for Stock Returns.mp4 48.9 MB
3. Time Series Analysis/13. Holt-Winters (Theory).mp4 48.8 MB
4. Portfolio Optimization and CAPM/21. Problems with Markowitz Portfolio Theory and Robust Estimation.mp4 48.1 MB
6. VIP The Basics of Reinforcement Learning/6. Value Functions and the Bellman Equation.mp4 47.9 MB
2. Financial Basics/9. Adjusted Close, Stock Splits, and Dividends.mp4 47.4 MB
3. Time Series Analysis/26. Model Selection, AIC and BIC.mp4 47.3 MB
1. Welcome/1. Introduction and Outline.mp4 46.8 MB
2. Financial Basics/24. Alpha and Beta (Code).mp4 45.8 MB
2. Financial Basics/11. Back to Returns (Code).mp4 45.7 MB
6. VIP The Basics of Reinforcement Learning/3. States, Actions, Rewards, Policies.mp4 44.2 MB
1. Welcome/2. Where to get the code.mp4 44.2 MB
4. Portfolio Optimization and CAPM/17. Maximum Sharpe Ratio in Code.mp4 43.7 MB
6. VIP The Basics of Reinforcement Learning/8. Solving the Bellman Equation with Reinforcement Learning (pt 1).mp4 42.8 MB
3. Time Series Analysis/17. ARIMA.mp4 42.7 MB
3. Time Series Analysis/23. ACF and PACF in Code (pt 1).mp4 42.3 MB
2. Financial Basics/20. Statistical Testing (Code).mp4 41.9 MB
2. Financial Basics/2. Getting Financial Data.mp4 41.9 MB
6. VIP The Basics of Reinforcement Learning/10. Epsilon-Greedy.mp4 41.6 MB
9. VIP Regime Detection and Sequence Modeling with Hidden Markov Models/2. Why Sequence Models (pt 2).mp4 41.2 MB
6. VIP The Basics of Reinforcement Learning/1. Reinforcement Learning Section Introduction.mp4 40.9 MB
3. Time Series Analysis/25. Auto ARIMA and SARIMAX.mp4 40.6 MB
8. VIP Statistical Factor Models and Unsupervised Machine Learning/2. Statistical Factor Models (Intermediate).mp4 40.5 MB
6. VIP The Basics of Reinforcement Learning/12. How to Learn Reinforcement Learning.mp4 40.4 MB
3. Time Series Analysis/30. Forecasting.mp4 39.3 MB
2. Financial Basics/22. Covariance and Correlation (Code).mp4 38.9 MB
2. Financial Basics/17. Confidence Intervals.mp4 38.8 MB
4. Portfolio Optimization and CAPM/18. Portfolio with a Risk-Free Asset and Tangency Portfolio.mp4 37.8 MB
15. Appendix FAQ Finale/2. BONUS Lecture.mp4 37.8 MB
3. Time Series Analysis/7. Exponentially-Weighted Moving Average (Theory).mp4 37.8 MB
2. Financial Basics/7. Dealing with Missing Data (Code).mp4 37.7 MB
4. Portfolio Optimization and CAPM/16. Sharpe Ratio.mp4 37.6 MB
9. VIP Regime Detection and Sequence Modeling with Hidden Markov Models/3. HMM Parameters.mp4 37.4 MB
3. Time Series Analysis/21. ACF (Autocorrelation Function).mp4 37.3 MB
4. Portfolio Optimization and CAPM/5. Describing a Portfolio (pt 1).mp4 36.5 MB
3. Time Series Analysis/9. Simple Exponential Smoothing for Forecasting (Theory).mp4 36.3 MB
3. Time Series Analysis/24. ACF and PACF in Code (pt 2).mp4 35.4 MB
2. Financial Basics/13. QQ-Plots (Code).mp4 35.3 MB
14. Effective Learning Strategies for Machine Learning FAQ/1. How to Succeed in this Course (Long Version).mp4 35.2 MB
2. Financial Basics/16. Skewness and Kurtosis.mp4 34.6 MB
2. Financial Basics/26. Mixture of Gaussians (Code).mp4 33.5 MB
5. VIP Algorithmic Trading/5. Machine Learning-Based Trading Strategy.mp4 33.3 MB
4. Portfolio Optimization and CAPM/4. Why Diversify.mp4 33.2 MB
5. VIP Algorithmic Trading/8. Using a Random Forest Classifier for Machine Learning-Based Trading.mp4 33.0 MB
3. Time Series Analysis/11. Holt's Linear Trend Model (Theory).mp4 33.0 MB
2. Financial Basics/21. Covariance and Correlation.mp4 32.9 MB
4. Portfolio Optimization and CAPM/9. Maximum and Minimum Portfolio Return.mp4 32.7 MB
7. VIP Reinforcement Learning for Algorithmic Trading/4. Representing States.mp4 32.6 MB
10. Course Summary and Common Questions/1. Trading APIs and Deploying Your Strategy in the Real World.mp4 31.9 MB
3. Time Series Analysis/1. Time Series Analysis Section Introduction.mp4 31.8 MB
6. VIP The Basics of Reinforcement Learning/7. What does it mean to “learn”.mp4 31.8 MB
4. Portfolio Optimization and CAPM/11. Mean-Variance Optimization.mp4 31.6 MB
3. Time Series Analysis/4. The Naive Forecast.mp4 30.9 MB
4. Portfolio Optimization and CAPM/12. The Efficient Frontier.mp4 30.7 MB
4. Portfolio Optimization and CAPM/3. What is Risk.mp4 30.5 MB
5. VIP Algorithmic Trading/9. Algorithmic Trading Section Summary.mp4 29.9 MB
7. VIP Reinforcement Learning for Algorithmic Trading/3. Q-Learning in an Algorithmic Trading Context.mp4 29.7 MB
2. Financial Basics/25. Mixture of Gaussians.mp4 29.3 MB
2. Financial Basics/8. Returns.mp4 29.2 MB
2. Financial Basics/1. Financial Basics Section Introduction.mp4 29.0 MB
2. Financial Basics/23. Alpha and Beta.mp4 28.8 MB
2. Financial Basics/4. Understanding Financial Data.mp4 28.5 MB
2. Financial Basics/6. Dealing with Missing Data.mp4 28.2 MB
4. Portfolio Optimization and CAPM/10. Maximum and Minimum Portfolio Return in Code.mp4 28.0 MB
3. Time Series Analysis/22. PACF (Partial Autocorrelation Funtion).mp4 26.2 MB
5. VIP Algorithmic Trading/7. Classification-Based Trading Strategy in Code.mp4 25.1 MB
1. Welcome/4. How to Practice.mp4 24.5 MB
1. Welcome/3. Scope of the course.mp4 24.4 MB
4. Portfolio Optimization and CAPM/1. Portfolio Optimization Section Introduction.mp4 24.4 MB
6. VIP The Basics of Reinforcement Learning/5. The Return.mp4 23.5 MB
1. Welcome/5. Warmup (Optional).mp4 23.2 MB
4. Portfolio Optimization and CAPM/6. Describing a Portfolio (pt 2).mp4 22.8 MB
10. Course Summary and Common Questions/2. High Frequency Trading (HFT).mp4 22.0 MB
2. Financial Basics/10. Adjusted Close (Code).mp4 20.9 MB
2. Financial Basics/12. QQ-Plots.mp4 20.7 MB
3. Time Series Analysis/5. Simple Moving Average (Theory).mp4 19.9 MB
2. Financial Basics/14. The t-Distribution.mp4 19.7 MB
3. Time Series Analysis/12. Holt's Linear Trend Model (Code).mp4 18.7 MB
2. Financial Basics/27. Volatility Clustering.mp4 18.5 MB
3. Time Series Analysis/31. Time Series Analysis Section Conclusion.mp4 18.1 MB
4. Portfolio Optimization and CAPM/22. Portfolio Optimization Section Conclusion.mp4 17.5 MB
15. Appendix FAQ Finale/1. What is the Appendix.mp4 16.4 MB
2. Financial Basics/31. Suggestion Box.mp4 16.1 MB
5. VIP Algorithmic Trading/1. Algorithmic Trading Section Introduction.mp4 14.0 MB
4. Portfolio Optimization and CAPM/15. Global Minimum Variance (GMV) Portfolio in Code.mp4 13.6 MB
4. Portfolio Optimization and CAPM/19. Risk-Free Asset and Tangency Portfolio in Code.mp4 13.6 MB
11. Extras/2. VIP Finance Enthusiasts, Beware of Marketers!.mp4 13.5 MB
2. Financial Basics/18. Confidence Intervals (Code).mp4 12.3 MB
2. Financial Basics/29. Price Simulation (Code).mp4 12.2 MB
2. Financial Basics/28. Price Simulation.mp4 12.0 MB
4. Portfolio Optimization and CAPM/2. The S&P500.mp4 11.7 MB
3. Time Series Analysis/16. Moving Average Models - MA(q).mp4 10.9 MB
2. Financial Basics/30. Financial Basics Section Summary.mp4 10.0 MB
4. Portfolio Optimization and CAPM/14. Global Minimum Variance (GMV) Portfolio.mp4 8.6 MB
14. Effective Learning Strategies for Machine Learning FAQ/2. Is this for Beginners or Experts Academic or Practical Fast or slow-paced.srt 31.9 KB
6. VIP The Basics of Reinforcement Learning/2. Elements of a Reinforcement Learning Problem.srt 25.9 KB
8. VIP Statistical Factor Models and Unsupervised Machine Learning/3. Statistical Factor Models (Advanced).srt 25.4 KB
3. Time Series Analysis/18. ARIMA in Code (pt 1).srt 24.5 KB
9. VIP Regime Detection and Sequence Modeling with Hidden Markov Models/5. HMM for Modeling Volatility Clustering in Code.srt 24.1 KB
14. Effective Learning Strategies for Machine Learning FAQ/4. Machine Learning and AI Prerequisite Roadmap (pt 2).srt 23.5 KB
13. Extra Help With Python Coding for Beginners FAQ/1. How to Code by Yourself (part 1).srt 22.6 KB
8. VIP Statistical Factor Models and Unsupervised Machine Learning/1. Statistical Factor Models (Beginner).srt 21.2 KB
2. Financial Basics/19. Statistical Testing.srt 20.8 KB
12. Setting Up Your Environment FAQ/1. Anaconda Environment Setup.srt 19.7 KB
9. VIP Regime Detection and Sequence Modeling with Hidden Markov Models/4. HMM Tasks and the Viterbi Algorithm.srt 19.2 KB
3. Time Series Analysis/3. Random Walk Hypothesis.srt 19.1 KB
9. VIP Regime Detection and Sequence Modeling with Hidden Markov Models/1. Why Sequence Models (pt 1).srt 18.7 KB
8. VIP Statistical Factor Models and Unsupervised Machine Learning/4. Statistical Factor Models (Code).srt 18.6 KB
7. VIP Reinforcement Learning for Algorithmic Trading/5. Q-Learning for Algorithmic Trading in Code.srt 18.5 KB
4. Portfolio Optimization and CAPM/8. Visualizing Random Portfolios and Monte Carlo Simulation (pt 2).srt 18.4 KB
3. Time Series Analysis/28. ARIMA in Code (pt 3).srt 18.1 KB
6. VIP The Basics of Reinforcement Learning/11. Q-Learning.srt 18.0 KB
5. VIP Algorithmic Trading/2. Trend-Following Strategy.srt 18.0 KB
14. Effective Learning Strategies for Machine Learning FAQ/3. Machine Learning and AI Prerequisite Roadmap (pt 1).srt 16.8 KB
3. Time Series Analysis/15. Autoregressive Models - AR(p).srt 16.7 KB
3. Time Series Analysis/27. ARIMA in Code (pt 2).srt 16.7 KB
3. Time Series Analysis/19. Stationarity.srt 16.3 KB
4. Portfolio Optimization and CAPM/7. Visualizing Random Portfolios and Monte Carlo Simulation (pt 1).srt 16.2 KB
2. Financial Basics/9. Adjusted Close, Stock Splits, and Dividends.srt 16.2 KB
3. Time Series Analysis/2. Efficient Market Hypothesis.srt 16.1 KB
9. VIP Regime Detection and Sequence Modeling with Hidden Markov Models/2. Why Sequence Models (pt 2).srt 16.0 KB
4. Portfolio Optimization and CAPM/20. Capital Asset Pricing Model (CAPM).srt 16.0 KB
7. VIP Reinforcement Learning for Algorithmic Trading/1. Trend-Following Strategy with Reinforcement Learning API.srt 15.7 KB
2. Financial Basics/5. Understanding Financial Data (Code).srt 15.1 KB
3. Time Series Analysis/13. Holt-Winters (Theory).srt 15.0 KB
6. VIP The Basics of Reinforcement Learning/9. Solving the Bellman Equation with Reinforcement Learning (pt 2).srt 14.8 KB
14. Effective Learning Strategies for Machine Learning FAQ/1. How to Succeed in this Course (Long Version).srt 14.7 KB
3. Time Series Analysis/8. Exponentially-Weighted Moving Average (Code).srt 14.7 KB
3. Time Series Analysis/7. Exponentially-Weighted Moving Average (Theory).srt 14.6 KB
12. Setting Up Your Environment FAQ/2. How to install Numpy, Scipy, Matplotlib, Pandas, IPython, Theano, and TensorFlow.srt 14.1 KB
13. Extra Help With Python Coding for Beginners FAQ/3. Proof that using Jupyter Notebook is the same as not using it.srt 14.0 KB
3. Time Series Analysis/9. Simple Exponential Smoothing for Forecasting (Theory).srt 13.9 KB
3. Time Series Analysis/17. ARIMA.srt 13.8 KB
2. Financial Basics/17. Confidence Intervals.srt 13.7 KB
3. Time Series Analysis/26. Model Selection, AIC and BIC.srt 13.5 KB
13. Extra Help With Python Coding for Beginners FAQ/2. How to Code by Yourself (part 2).srt 13.2 KB
8. VIP Statistical Factor Models and Unsupervised Machine Learning/2. Statistical Factor Models (Intermediate).srt 13.1 KB
3. Time Series Analysis/21. ACF (Autocorrelation Function).srt 13.0 KB
6. VIP The Basics of Reinforcement Learning/4. Markov Decision Processes (MDPs).srt 12.7 KB
3. Time Series Analysis/10. Simple Exponential Smoothing for Forecasting (Code).srt 12.6 KB
6. VIP The Basics of Reinforcement Learning/6. Value Functions and the Bellman Equation.srt 12.6 KB
4. Portfolio Optimization and CAPM/9. Maximum and Minimum Portfolio Return.srt 12.5 KB
6. VIP The Basics of Reinforcement Learning/8. Solving the Bellman Equation with Reinforcement Learning (pt 1).srt 12.4 KB
4. Portfolio Optimization and CAPM/18. Portfolio with a Risk-Free Asset and Tangency Portfolio.srt 12.4 KB
1. Welcome/2. Where to get the code.srt 12.4 KB
9. VIP Regime Detection and Sequence Modeling with Hidden Markov Models/3. HMM Parameters.srt 12.4 KB
4. Portfolio Optimization and CAPM/5. Describing a Portfolio (pt 1).srt 12.3 KB
3. Time Series Analysis/25. Auto ARIMA and SARIMAX.srt 12.3 KB
4. Portfolio Optimization and CAPM/21. Problems with Markowitz Portfolio Theory and Robust Estimation.srt 12.2 KB
3. Time Series Analysis/30. Forecasting.srt 12.1 KB
5. VIP Algorithmic Trading/4. Trend-Following Strategy in Code (pt 2).srt 12.0 KB
2. Financial Basics/8. Returns.srt 11.7 KB
6. VIP The Basics of Reinforcement Learning/3. States, Actions, Rewards, Policies.srt 11.7 KB
4. Portfolio Optimization and CAPM/13. Mean-Variance Optimization And The Efficient Frontier in Code.srt 11.2 KB
2. Financial Basics/21. Covariance and Correlation.srt 10.8 KB
3. Time Series Analysis/20. Stationarity Code.srt 10.8 KB
7. VIP Reinforcement Learning for Algorithmic Trading/2. Trend-Following Strategy Revisited (Code).srt 10.5 KB
4. Portfolio Optimization and CAPM/4. Why Diversify.srt 10.5 KB
2. Financial Basics/15. The t-Distribution (Code).srt 10.5 KB
2. Financial Basics/24. Alpha and Beta (Code).srt 10.4 KB
5. VIP Algorithmic Trading/6. Machine Learning-Based Trading Strategy in Code.srt 10.4 KB
2. Financial Basics/16. Skewness and Kurtosis.srt 10.4 KB
5. VIP Algorithmic Trading/5. Machine Learning-Based Trading Strategy.srt 10.3 KB
3. Time Series Analysis/11. Holt's Linear Trend Model (Theory).srt 10.1 KB
4. Portfolio Optimization and CAPM/11. Mean-Variance Optimization.srt 10.0 KB
4. Portfolio Optimization and CAPM/16. Sharpe Ratio.srt 10.0 KB
2. Financial Basics/2. Getting Financial Data.srt 9.9 KB
2. Financial Basics/13. QQ-Plots (Code).srt 9.9 KB
3. Time Series Analysis/14. Holt-Winters (Code).srt 9.8 KB
1. Welcome/1. Introduction and Outline.srt 9.6 KB
7. VIP Reinforcement Learning for Algorithmic Trading/4. Representing States.srt 9.6 KB
4. Portfolio Optimization and CAPM/12. The Efficient Frontier.srt 9.5 KB
2. Financial Basics/3. Getting Financial Data (Code).srt 9.5 KB
3. Time Series Analysis/6. Simple Moving Average (Code).srt 9.5 KB
5. VIP Algorithmic Trading/3. Trend-Following Strategy in Code (pt 1).srt 9.4 KB
4. Portfolio Optimization and CAPM/3. What is Risk.srt 9.4 KB
3. Time Series Analysis/23. ACF and PACF in Code (pt 1).srt 9.3 KB
3. Time Series Analysis/1. Time Series Analysis Section Introduction.srt 9.3 KB
7. VIP Reinforcement Learning for Algorithmic Trading/3. Q-Learning in an Algorithmic Trading Context.srt 9.3 KB
2. Financial Basics/23. Alpha and Beta.srt 9.3 KB
3. Time Series Analysis/4. The Naive Forecast.srt 9.2 KB
2. Financial Basics/25. Mixture of Gaussians.srt 9.2 KB
2. Financial Basics/11. Back to Returns (Code).srt 9.1 KB
2. Financial Basics/20. Statistical Testing (Code).srt 9.1 KB
2. Financial Basics/7. Dealing with Missing Data (Code).srt 8.9 KB
6. VIP The Basics of Reinforcement Learning/7. What does it mean to “learn”.srt 8.9 KB
6. VIP The Basics of Reinforcement Learning/1. Reinforcement Learning Section Introduction.srt 8.7 KB
3. Time Series Analysis/29. ACF and PACF for Stock Returns.srt 8.4 KB
4. Portfolio Optimization and CAPM/17. Maximum Sharpe Ratio in Code.srt 8.3 KB
2. Financial Basics/26. Mixture of Gaussians (Code).srt 8.2 KB
3. Time Series Analysis/24. ACF and PACF in Code (pt 2).srt 8.0 KB
3. Time Series Analysis/22. PACF (Partial Autocorrelation Funtion).srt 8.0 KB
4. Portfolio Optimization and CAPM/6. Describing a Portfolio (pt 2).srt 7.9 KB
15. Appendix FAQ Finale/2. BONUS Lecture.srt 7.8 KB
2. Financial Basics/6. Dealing with Missing Data.srt 7.8 KB
10. Course Summary and Common Questions/1. Trading APIs and Deploying Your Strategy in the Real World.srt 7.6 KB
6. VIP The Basics of Reinforcement Learning/12. How to Learn Reinforcement Learning.srt 7.6 KB
5. VIP Algorithmic Trading/9. Algorithmic Trading Section Summary.srt 7.6 KB
6. VIP The Basics of Reinforcement Learning/10. Epsilon-Greedy.srt 7.4 KB
2. Financial Basics/1. Financial Basics Section Introduction.srt 7.4 KB
2. Financial Basics/12. QQ-Plots.srt 7.2 KB
2. Financial Basics/22. Covariance and Correlation (Code).srt 7.1 KB
2. Financial Basics/4. Understanding Financial Data.srt 6.6 KB
6. VIP The Basics of Reinforcement Learning/5. The Return.srt 6.3 KB
1. Welcome/5. Warmup (Optional).srt 6.1 KB
4. Portfolio Optimization and CAPM/10. Maximum and Minimum Portfolio Return in Code.srt 5.8 KB
3. Time Series Analysis/5. Simple Moving Average (Theory).srt 5.7 KB
5. VIP Algorithmic Trading/8. Using a Random Forest Classifier for Machine Learning-Based Trading.srt 5.5 KB
3. Time Series Analysis/31. Time Series Analysis Section Conclusion.srt 5.3 KB
10. Course Summary and Common Questions/2. High Frequency Trading (HFT).srt 5.3 KB
1. Welcome/4. How to Practice.srt 5.2 KB
1. Welcome/3. Scope of the course.srt 5.2 KB
2. Financial Basics/14. The t-Distribution.srt 5.1 KB
4. Portfolio Optimization and CAPM/1. Portfolio Optimization Section Introduction.srt 4.8 KB
2. Financial Basics/31. Suggestion Box.srt 4.7 KB
2. Financial Basics/10. Adjusted Close (Code).srt 4.6 KB
5. VIP Algorithmic Trading/7. Classification-Based Trading Strategy in Code.srt 4.2 KB
3. Time Series Analysis/16. Moving Average Models - MA(q).srt 4.2 KB
2. Financial Basics/28. Price Simulation.srt 4.0 KB
2. Financial Basics/27. Volatility Clustering.srt 3.9 KB
15. Appendix FAQ Finale/1. What is the Appendix.srt 3.8 KB
5. VIP Algorithmic Trading/1. Algorithmic Trading Section Introduction.srt 3.6 KB
3. Time Series Analysis/12. Holt's Linear Trend Model (Code).srt 3.4 KB
4. Portfolio Optimization and CAPM/2. The S&P500.srt 3.3 KB
2. Financial Basics/29. Price Simulation (Code).srt 3.1 KB
2. Financial Basics/30. Financial Basics Section Summary.srt 3.1 KB
4. Portfolio Optimization and CAPM/22. Portfolio Optimization Section Conclusion.srt 2.9 KB
2. Financial Basics/18. Confidence Intervals (Code).srt 2.8 KB
11. Extras/2. VIP Finance Enthusiasts, Beware of Marketers!.srt 2.8 KB
4. Portfolio Optimization and CAPM/19. Risk-Free Asset and Tangency Portfolio in Code.srt 2.6 KB
4. Portfolio Optimization and CAPM/15. Global Minimum Variance (GMV) Portfolio in Code.srt 2.5 KB
4. Portfolio Optimization and CAPM/14. Global Minimum Variance (GMV) Portfolio.srt 2.3 KB
11. Extras/1. Colab Notebooks.html 256 bytes
1. Welcome/[Tutorialsplanet.NET].url 128 bytes
11. Extras/[Tutorialsplanet.NET].url 128 bytes
[Tutorialsplanet.NET].url 128 bytes
1. Welcome/2.1 Github Link.html 116 bytes

[Tutorialsplanet.NET] Udemy - Financial Engineering and Artificial Intelligence in Python

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