AWS Tech for Trading: Learning Hub with Kiro

Exciting News! We are thrilled to announce the launch of our new learning hub: "AWS Tech for Trading"!

Explore a comprehensive curriculum designed to elevate your trading strategies with cutting-edge technology.

Visit our hub at
😘😘😘AWS Tech for Trading
😘😘😘AWS Tech for Trading
😘😘😘AWS Tech for Trading

and discover a world of knowledge tailored for traders and tech enthusiasts alike.

What’s Inside?
We’ve leveraged Kiro to curate and summarize our entire company's trading knowledge base into 9 essential lessons for internal training and education.

Highlights of Kiro:

• Scan Entire Workspace: Comprehensive coverage of all trading knowledge.
• Large Token Session: Maintains robust data architecture.
• Summary Knowledge Base: Converts extensive data into concise training materials.
• Development Plan: Includes requirement analysis, design, and task workflow.
• Multilingual Support: Available in 3 different languages.

Impressive Results:

• 80% Noise Reduction: Streamlined, relevant content.
• 75% Increase in Article Quality: Enhanced learning experience.

Dive into These 9 In-Depth Lessons:

1. Introduction to Trading Factors Mining
2. Factor Analysis with AWS Bedrock
3. Popular 20 Factors
4. Deep Dive in T-Statistics
5. Smarter Trades: Unlocking Alpha with GenAI
6. AWS Enables Quantitative Modeling and Investment Research
7. Dive Deep into Factor Proliferation and Alpha Decay
8. Modern Portfolio Theory (MPT)
9. Multifactor Models of Risk-Adjusted Asset Returns

Explore AWS GenAI Services:

• Kiro
• Amazon Q
• Amazon Bedrock
• Amazon Nova

Join us on this journey to transform trading with technology. Happy learning!

Special Thanks:

We extend our gratitude to the incredible AWS team who made this possible:

Danny Chan [cb], Kenny Chan [cb], Jacky Wu [aws], Charlie Chiu [aws], Hung-Che Lo [aws], Kevin Jung [aws], Ken Cho [aws], Melody Lin [aws], Max Kwok [aws], Elsie Tai [aws], Eddie Cheung [aws], Carson Lau [aws], Diana Lam [aws], Esther Wong [aws]