FRAMEWORK
ACADEMY
Courses
Log In
Join Free
Home
Courses
Finance
Generative Modeling for Trading
Curriculum
1 Section
19 Lessons
30 hours
Expand all sections
Collapse all sections
Unit 3 — Generative Modeling for Trading
19
1.1
1.4 Translating Matlab Codes to Python Codes
20 mins
1.2
2.4 Explore Options Term Structure Arbitrage Strategies
20 mins
1.3
3.4 Data Engineering
20 mins
1.4
4.4 Illustrating Generative Models with ChatGPT
20 mins
1.5
5.4 Model Fitting
20 mins
1.6
6.4 Learning
20 mins
1.7
7.4 Designing Nonlinear Flows
20 mins
1.8
8.4 Why Is GAN Training Hard? Improving GAN Training Techniques
20 mins
1.9
9.4 Sentiment Analysis
20 mins
1.10
10.4 Model Quantization
20 mins
1.11
1.5 Conclusion
20 mins
1.12
2.5 Conclusion
20 mins
1.13
3.5 Feature Engineering
20 mins
1.14
4.5 Hybrid Modeling: Combining Generative and Discriminative Models
20 mins
1.15
5.5 Conclusions
20 mins
1.16
6.5 Variational Autoencoder (VAE)
20 mins
1.17
7.5 Coupling Flows
20 mins
1.18
8.5 Wasserstein GAN (WGAN)
20 mins
1.19
9.5 Experiment Results
20 mins
This content is protected, please
login
and
enroll
in the course to view this content!
S
Ask SIERA
YOUR DIGITAL ASSISTANT
×
Modal title
Main Content