Udemy - Financial Engineering and Artificial Intelligence in Pyth...

Category Other
Type Tutorials
Language English
Total size 6.1 GB
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Last checked 2 days ago
Date uploaded 4 years ago
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Udemy - Financial Engineering and Artificial Intelligence in Python

Have you ever thought about what would happen if you combined the power of machine learning and artificial intelligence with financial engineering?

Today, you can stop imagining, and start doing.

This course will teach you the core fundamentals of financial engineering, with a machine learning twist.

We will cover must-know topics in financial engineering, such as:

Exploratory data analysis, significance testing, correlations, alpha and beta
Time series analysis, simple moving average, exponentially-weighted moving average
Holt-Winters exponential smoothing model
ARIMA and SARIMA
For more Udemy Courses: https://tutorialsplanet.net

                Files: 

                [Tutorialsplanet.NET] Udemy - Financial Engineering and Artificial Intelligence in Python
Welcome
Introduction and Outline.mp4 (46.8 MB)
Introduction and Outline.srt (9.6 KB)
Where to get the code.mp4 (44.2 MB)
Where to get the code.srt (12.4 KB)
1 Github Link.html (0.1 KB)
Scope of the course.mp4 (24.4 MB)
Scope of the course.srt (5.2 KB)
How to Practice.mp4 (24.5 MB)
How to Practice.srt (5.2 KB)
Warmup (Optional).mp4 (23.2 MB)
Warmup (Optional).srt (6.1 KB)
[Tutorialsplanet.NET].url (0.1 KB)

Course Summary and Common Questions
Trading APIs and Deploying Your Strategy in the Real World.mp4 (31.9 MB)
Trading APIs and Deploying Your Strategy in the Real World.srt (7.6 KB)
High Frequency Trading (HFT).mp4 (22.0 MB)
High Frequency Trading (HFT).srt (5.3 KB)

Extras
Colab Notebooks.html (0.3 KB)
VIP Finance Enthusiasts, Beware of Marketers!.mp4 (13.5 MB)
VIP Finance Enthusiasts, Beware of Marketers!.srt (2.8 KB)
[Tutorialsplanet.NET].url (0.1 KB)

Setting Up Your Environment FAQ
Anaconda Environment Setup.mp4 (180.8 MB)
Anaconda Environment Setup.srt (19.7 KB)
How to install Numpy, Scipy, Matplotlib, Pandas, IPython, Theano, and TensorFlow.mp4 (150.6 MB)
How to install Numpy, Scipy, Matplotlib, Pandas, IPython, Theano, and TensorFlow.srt (14.1 KB)

Extra Help With Python Coding for Beginners FAQ
How to Code by Yourself (part 1).mp4 (71.8 MB)
How to Code by Yourself (part 1).srt (22.6 KB)
How to Code by Yourself (part 2).mp4 (49.2 MB)
How to Code by Yourself (part 2).srt (13.2 KB)
Proof that using Jupyter Notebook is the same as not using it.mp4 (69.4 MB)
Proof that using Jupyter Notebook is the same as not using it.srt (14.0 KB)

Effective Learning Strategies for Machine Learning FAQ
How to Succeed in this Course (Long Version).mp4 (35.2 MB)
How to Succeed in this Course (Long Version).srt (14.7 KB)
Is this for Beginners or Experts Academic or Practical Fast or slow-paced.mp4 (105.6 MB)
Is this for Beginners or Experts Academic or Practical Fast or slow-paced.srt (31.9 KB)
Machine Learning and AI Prerequisite Roadmap (pt 1).mp4 (79.6 MB)
Machine Learning and AI Prerequisite Roadmap (pt 1).srt (16.8 KB)
Machine Learning and AI Prerequisite Roadmap (pt 2).mp4 (108.2 MB)
Machine Learning and AI Prerequisite Roadmap (pt 2).srt (23.5 KB)

Appendix  FAQ Finale
What is the Appendix.mp4 (16.4 MB)
What is the Appendix.srt (3.8 KB)
BONUS Lecture.mp4 (37.8 MB)
BONUS Lecture.srt (7.8 KB)

Financial Basics
Financial Basics Section Introduction.mp4 (29.0 MB)
Financial Basics Section Introduction.srt (7.4 KB)
Adjusted Close (Code).mp4 (20.9 MB)
Adjusted Close (Code).srt (4.6 KB)
Back to Returns (Code).mp4 (45.7 MB)
Back to Returns (Code).srt (9.1 KB)
QQ-Plots.mp4 (20.7 MB)
QQ-Plots.srt (7.2 KB)
QQ-Plots (Code).mp4 (35.3 MB)
QQ-Plots (Code).srt (9.9 KB)
The t-Distribution.mp4 (19.7 MB)
The t-Distribution.srt (5.1 KB)
The t-Distribution (Code).mp4 (50.7 MB)
The t-Distribution (Code).srt (10.5 KB)
Skewness and Kurtosis.mp4 (34.6 MB)
Skewness and Kurtosis.srt (10.4 KB)
Confidence Intervals.mp4 (38.8 MB)
Confidence Intervals.srt (13.7 KB)
Confidence Intervals (Code).mp4 (12.3 MB)
Confidence Intervals (Code).srt (2.8 KB)
Statistical Testing.mp4 (60.7 MB)
Statistical Testing.srt (20.8 KB)
Getting Financial Data.mp4 (41.9 MB)
Getting Financial Data.srt (9.9 KB)
Statistical Testing (Code).mp4 (41.9 MB)
Statistical Testing (Code).srt (9.1 KB)
Covariance and Correlation.mp4 (32.9 MB)
Covariance and Correlation.srt (10.8 KB)
Covariance and Correlation (Code).mp4 (38.9 MB)
Covariance and Correlation (Code).srt (7.1 KB)
Alpha and Beta.mp4 (28.8 MB)
Alpha and Beta.srt (9.3 KB)
Alpha and Beta (Code).mp4 (45.8 MB)
Alpha and Beta (Code).srt (10.4 KB)
Mixture of Gaussians.mp4 (29.3 MB)
Mixture of Gaussians.srt (9.2 KB)
Mixture of Gaussians (Code).mp4 (33.5 MB)
Mixture of Gaussians (Code).srt (8.2 KB)
Volatility Clustering.mp4 (18.5 MB)
Volatility Clustering.srt (3.9 KB)
Price Simulation.mp4 (12.0 MB)
Price Simulation.srt (4.0 KB)
Price Simulation (Code).mp4 (12.2 MB)
Price Simulation (Code).srt (3.1 KB)
Getting Financial Data (Code).mp4 (62.6 MB)
Getting Financial Data (Code).srt (9.5 KB)
Financial Basics Section Summary.mp4 (10.0 MB)
Financial Basics Section Summary.srt (3.1 KB)
Suggestion Box.mp4 (16.1 MB)
Suggestion Box.srt (4.7 KB)
Understanding Financial Data.mp4 (28.5 MB)
Understanding Financial Data.srt (6.6 KB)
Understanding Financial Data (Code).mp4 (75.5 MB)
Understanding Financial Data (Code).srt (15.1 KB)
Dealing with Missing Data.mp4 (28.2 MB)
Dealing with Missing Data.srt (7.8 KB)
Dealing with Missing Data (Code).mp4 (37.7 MB)
Dealing with Missing Data (Code).srt (8.9 KB)
Returns.mp4 (29.2 MB)
Returns.srt (11.7 KB)
Adjusted Close, Stock Splits, and Dividends.mp4 (47.4 MB)
Adjusted Close, Stock Splits, and Dividends.srt (16.2 KB)

Time Series Analysis
Time Series Analysis Section Introduction.mp4 (31.8 MB)
Time Series Analysis Section Introduction.srt (9.3 KB)
Simple Exponential Smoothing for Forecasting (Code).mp4 (59.2 MB)
Simple Exponential Smoothing for Forecasting (Code).srt (12.6 KB)
Holt's Linear Trend Model (Theory).mp4 (33.0 MB)
Holt's Linear Trend Model (Theory).srt (10.1 KB)
Holt's Linear Trend Model (Code).mp4 (18.7 MB)
Holt's Linear Trend Model (Code).srt (3.4 KB)
Holt-Winters (Theory).mp4 (48.8 MB)
Holt-Winters (Theory).srt (15.0 KB)
Holt-Winters (Code).mp4 (52.5 MB)
Holt-Winters (Code).srt (9.8 KB)
Autoregressive Models - AR(p).mp4 (53.6 MB)
Autoregressive Models - AR(p).srt (16.7 KB)
Moving Average Models - MA(q).mp4 (10.9 MB)
Moving Average Models - MA(q).srt (4.2 KB)
ARIMA.mp4 (42.7 MB)
ARIMA.srt (13.8 KB)
ARIMA in Code (pt 1).mp4 (135.2 MB)
ARIMA in Code (pt 1).srt (24.5 KB)
Stationarity.mp4 (49.6 MB)
Stationarity.srt (16.3 KB)
Efficient Market Hypothesis.mp4 (54.8 MB)
Efficient Market Hypothesis.srt (16.1 KB)
Stationarity Code.mp4 (64.5 MB)
Stationarity Code.srt (10.8 KB)
ACF (Autocorrelation Function).mp4 (37.3 MB)
ACF (Autocorrelation Function).srt (13.0 KB)
PACF (Partial Autocorrelation Funtion).mp4 (26.2 MB)
PACF (Partial Autocorrelation Funtion).srt (8.0 KB)
ACF and PACF in Code (pt 1).mp4 (42.3 MB)
ACF and PACF in Code (pt 1).srt (9.3 KB)
ACF and PACF in Code (pt 2).mp4 (35.4 MB)
ACF and PACF in Code (pt 2).srt (8.0 KB)
Auto ARIMA and SARIMAX.mp4 (40.6 MB)
Auto ARIMA and SARIMAX.srt (12.3 KB)
Model Selection, AIC and BIC.mp4 (47.3 MB)
Model Selection, AIC and BIC.srt (13.5 KB)
ARIMA in Code (pt 2).mp4 (109.8 MB)
ARIMA in Code (pt 2).srt (16.7 KB)
ARIMA in Code (pt 3).mp4 (112.0 MB)
ARIMA in Code (pt 3).srt (18.1 KB)
ACF and PACF for Stock Returns.mp4 (48.9 MB)
ACF and PACF for Stock Returns.srt (8.4 KB)
Random Walk Hypothesis.mp4 (71.5 MB)
Random Walk Hypothesis.srt (19.1 KB)
Forecasting.mp4 (39.3 MB)
Forecasting.srt (12.1 KB)
Time Series Analysis Section Conclusion.mp4 (18.1 MB)
Time Series Analysis Section Conclusion.srt (5.3 KB)
The Naive Forecast.mp4 (30.9 MB)
The Naive Forecast.srt (9.2 KB)
Simple Moving Average (Theory).mp4 (19.9 MB)
Simple Moving Average (Theory).srt (5.7 KB)
Simple Moving Average (Code).mp4 (55.7 MB)
Simple Moving Average (Code).srt (9.5 KB)
Exponentially-Weighted Moving Average (Theory).mp4 (37.8 MB)
Exponentially-Weighted Moving Average (Theory).srt (14.6 KB)
Exponentially-Weighted Moving Average (Code).mp4 (54.3 MB)
Exponentially-Weighted Moving Average (Code).srt (14.7 KB)
Simple Exponential Smoothing for Forecasting (Theory).mp4 (36.3 MB)
Simple Exponential Smoothing for Forecasting (Theory).srt (13.9 KB)

Portfolio Optimization and CAPM
Portfolio Optimization Section Introduction.mp4 (24.4 MB)
Portfolio Optimization Section Introduction.srt (4.8 KB)
Maximum and Minimum Portfolio Return in Code.mp4 (28.0 MB)
Maximum and Minimum Portfolio Return in Code.srt (5.8 KB)
Mean-Variance Optimization.mp4 (31.6 MB)
Mean-Variance Optimization.srt (10.0 KB)
The Efficient Frontier.mp4 (30.7 MB)
The Efficient Frontier.srt (9.5 KB)
Mean-Variance Optimization And The Efficient Frontier in Code.mp4 (53.3 MB)
Mean-Variance Optimization And The Efficient Frontier in Code.srt (11.2 KB)
Global Minimum Variance (GMV) Portfolio.mp4 (8.6 MB)
Global Minimum Variance (GMV) Portfolio.srt (2.3 KB)
Global Minimum Variance (GMV) Portfolio in Code.mp4 (13.6 MB)
Global Minimum Variance (GMV) Portfolio in Code.srt (2.5 KB)
Sharpe Ratio.mp4 (37.6 MB)
Sharpe Ratio.srt (10.0 KB)
Maximum Sharpe Ratio in Code.mp4 (43.7 MB)
Maximum Sharpe Ratio in Code.srt (8.3 KB)
Portfolio with a Risk-Free Asset and Tangency Portfolio.mp4 (37.8 MB)
Portfolio with a Risk-Free Asset and Tangency Portfolio.srt (12.4 KB)
Risk-Free Asset and Tangency Portfolio in Code.mp4 (13.6 MB)
Risk-Free Asset and Tangency Portfolio in Code.srt (2.6 KB)
The S&P500.mp4 (11.7 MB)
The S&P500.srt (3.3 KB)
Capital Asset Pricing Model (CAPM).mp4 (52.2 MB)
Capital Asset Pricing Model (CAPM).srt (16.0 KB)
Problems with Markowitz Portfolio Theory and Robust Estimation.mp4 (48.1 MB)
Problems with Markowitz Portfolio Theory and Robust Estimation.srt (12.2 KB)
Portfolio Optimization Section Conclusion.mp4 (17.5 MB)
Portfolio Optimization Section Conclusion.srt (2.9 KB)
What is Risk.mp4 (30.5 MB)
What is Risk.srt (9.4 KB)
Why Diversify.mp4 (33.2 MB)
Why Diversify.srt (10.5 KB)
Describing a Portfolio (pt 1).mp4 (36.5 MB)
Describing a Portfolio (pt 1).srt (12.3 KB)
Describing a Portfolio (pt 2).mp4 (22.8 MB)
Describing a Portfolio (pt 2).srt (7.9 KB)
Visualizing Random Portfolios and Monte Carlo Simulation (pt 1).mp4 (73.4 MB)
Visualizing Random Portfolios and Monte Carlo Simulation (pt 1).srt (16.2 KB)
Visualizing Random Portfolios and Monte Carlo Simulation (pt 2).mp4 (88.7 MB)
Visualizing Random Portfolios and Monte Carlo Simulation (pt 2).srt (18.4 KB)
Maximum and Minimum Portfolio Return.mp4 (32.7 MB)
Maximum and Minimum Portfolio Return.srt (12.5 KB)

VIP Algorithmic Trading
Algorithmic Trading Section Introduction.mp4 (14.0 MB)
Algorithmic Trading Section Introduction.srt (3.6 KB)
Trend-Following Strategy.mp4 (55.9 MB)
Trend-Following Strategy.srt (18.0 KB)
Trend-Following Strategy in Code (pt 1).mp4 (63.8 MB)
Trend-Following Strategy in Code (pt 1).srt (9.4 KB)
Trend-Following Strategy in Code (pt 2).mp4 (69.1 MB)
Trend-Following Strategy in Code (pt 2).srt (12.0 KB)
Machine Learning-Based Trading Strategy.mp4 (33.3 MB)
Machine Learning-Based Trading Strategy.srt (10.3 KB)
Machine Learning-Based Trading Strategy in Code.mp4 (69.5 MB)
Machine Learning-Based Trading Strategy in Code.srt (10.4 KB)
Classification-Based Trading Strategy in Code.mp4 (25.1 MB)
Classification-Based Trading Strategy in Code.srt (4.2 KB)
Using a Random Forest Classifier for Machine Learning-Based Trading.mp4 (33.0 MB)
Using a Random Forest Classifier for Machine Learning-Based Trading.srt (5.5 KB)
Algorithmic Trading Section Summary.mp4 (29.9 MB)
Algorithmic Trading Section Summary.srt (7.6 KB)

VIP The Basics of Reinforcement Learning
Reinforcement Learning Section Introduction.mp4 (40.9 MB)
Reinforcement Learning Section Introduction.srt (8.7 KB)
Epsilon-Greedy.mp4 (41.6 MB)
Epsilon-Greedy.srt (7.4 KB)
Q-Learning.mp4 (66.9 MB)
Q-Learning.srt (18.0 KB)
How to Learn Reinforcement Learning.mp4 (40.4 MB)
How to Learn Reinforcement Learning.srt (7.6 KB)
Elements of a Reinforcement Learning Problem.mp4 (105.2 MB)
Elements of a Reinforcement Learning Problem.srt (25.9 KB)
States, Actions, Rewards, Policies.mp4 (44.2 MB)
States, Actions, Rewards, Policies.srt (11.7 KB)
Markov Decision Processes (MDPs).mp4 (50.7 MB)
Markov Decision Processes (MDPs).srt (12.7 KB)
The Return.mp4 (23.5 MB)
The Return.srt (6.3 KB)
Value Functions and the Bellman Equation.mp4 (47.9 MB)
Value Functions and the Bellman Equation.srt (12.6 KB)
What does it mean to “learn”.mp4 (31.8 MB)
What does it mean to “learn”.srt (8.9 KB)
Solving the Bellman Equation with Reinforcement Learning (pt 1).mp4 (42.8 MB)
Solving the Bellman Equation with Reinforcement Learning (pt 1).srt (12.4 KB)
Solving the Bellman Equation with Reinforcement Learning (pt 2).mp4 (57.2 MB)
Solving the Bellman Equation with Reinforcement Learning (pt 2).srt (14.8 KB)

VIP Reinforcement Learning for Algorithmic Trading
Trend-Following Strategy with Reinforcement Learning API.mp4 (49.6 MB)
Trend-Following Strategy with Reinforcement Learning API.srt (15.7 KB)
Trend-Following Strategy Revisited (Code).mp4 (55.8 MB)
Trend-Following Strategy Revisited (Code).srt (10.5 KB)
Q-Learning in an Algorithmic Trading Context.mp4 (29.7 MB)
Q-Learning in an Algorithmic Trading Context.srt (9.3 KB)
Representing States.mp4 (32.6 MB)
Representing States.srt (9.6 KB)
Q-Learning for Algorithmic Trading in Code.mp4 (103.0 MB)
Q-Learning for Algorithmic Trading in Code.srt (18.5 KB)

VIP Statistical Factor Models and Unsupervised Machine Learning
Statistical Factor Models (Beginner).mp4 (63.4 MB)
Statistical Factor Models (Beginner).srt (21.2 KB)
Statistical Factor Models (Intermediate).mp4 (40.5 MB)
Statistical Factor Models (Intermediate).srt (13.1 KB)
Statistical Factor Models (Advanced).mp4 (73.1 MB)
Statistical Factor Models (Advanced).srt (25.4 KB)
Statistical Factor Models (Code).mp4 (101.0 MB)
Statistical Factor Models (Code).srt (18.6 KB)

VIP Regime Detection and Sequence Modeling with Hidden Markov Models
Why Sequence Models (pt 1).mp4 (49.4 MB)
Why Sequence Models (pt 1).srt (18.7 KB)
Why Sequence Models (pt 2).mp4 (41.2 MB)
Why Sequence Models (pt 2).srt (16.0 KB)
HMM Parameters.mp4 (37.4 MB)
HMM Parameters.srt (12.4 KB)
HMM Tasks and the Viterbi Algorithm.mp4 (65.0 MB)
HMM Tasks and the Viterbi Algorithm.srt (19.2 KB)
HMM for Modeling Volatility Clustering in Code.mp4 (102.0 MB)
HMM for Modeling Volatility Clustering in Code.srt (24.1 KB)

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