Overview
What this challenge is about.
Design a market-making framework for an AI and robotics ETF using historical stock data. Earn a verifiable certificate.
The scenario
Nova Capital is a $5 billion AUM asset manager known for thematic ETFs. AIRO will be listed on NYSE Arca and faces competition from similar ETFs like ROBT and AIQ.
The Brief
What you'll do, and what you'll demonstrate.
How should Nova Capital design a market-making strategy for its new AI and robotics ETF to balance liquidity provision with risk management?
Earning criteria — what you'll demonstrate
- Understand the role of market makers in ETF liquidity and price discovery
- Apply concepts of bid-ask spread, inventory risk, and adverse selection
- Design a quantitative strategy using historical data and simulation
- Evaluate trade-offs between profitability and risk in market making
Program Fit
Where this fits in your program.
Sharpens the same skills your degree expects you to demonstrate.
Aligned coursework coming soon.
Skills
Skills you'll demonstrate.
Each one shows up on your verified credential.
- Market Microstructure
Apply market microstructure to solve real industry problems and demonstrate production-level capability.
- Etf Arbitrage
Apply etf arbitrage to solve real industry problems and demonstrate production-level capability.
- Risk Management
Identify, assess, and mitigate risks across business operations and projects.
- Algorithmic Trading
Apply algorithmic trading to solve real industry problems and demonstrate production-level capability.
- Statistical Arbitrage
Apply statistical arbitrage to solve real industry problems and demonstrate production-level capability.
Careers
Career paths this challenge builds toward
Completing this challenge demonstrates skills that transfer directly to these roles: