Real-Time Portfolio Optimization with NVIDIA cuOpt
Skills:
ML Pipelines90%
Key Takeaways
Demonstrates real-time portfolio optimization using NVIDIA cuOpt and GPU acceleration
Original Description
Let’s walk through the NVIDIA cuFOLIO Developer Example. This open source, customizable notebook enables GPU accelerated portfolio optimization by constructing an optimal portfolio from the S&P 500 universe and then backtesting against customizable parameters and portfolios.
➡️ Start now: https://build.nvidia.com/nvidia/quantitative-portfolio-optimization
📥 Code: https://github.com/NVIDIA-AI-Blueprints/quantitative-portfolio-optimization/
📝 Tech blog: https://developer.nvidia.com/blog/accelerate-large-linear-programming-problems-with-nvidia-cuopt
00:00 Interactive Backtesting Intro
00:11 Quantitative Portfolio Optimization
00:26 Deploy on Cloud (Brev)
00:57 Launchable Setup
01:50 Github
01:57 Run Notebook
02:42 2. CVaR Formulation
03:00 3. Data and Model Setup
04:26 4. Solve CVaR Optimization
07:15 5. Backtest Portfolio
08:09 6. GPU v CPU
09:40 7. Appendix
10:05 Outro
#quantfinance
#portfoliooptimization
#algorithmictrading
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Chapters (13)
Interactive Backtesting Intro
0:11
Quantitative Portfolio Optimization
0:26
Deploy on Cloud (Brev)
0:57
Launchable Setup
1:50
Github
1:57
Run Notebook
2:42
2. CVaR Formulation
3:00
3. Data and Model Setup
4:26
4. Solve CVaR Optimization
7:15
5. Backtest Portfolio
8:09
6. GPU v CPU
9:40
7. Appendix
10:05
Outro
🎓
Tutor Explanation
DeepCamp AI