Long Form
- A Short Guide to Hard Problems
- Bitcoin’s Guardian Angel: Inside Coinbase Billionaire Brian Armstrong’s Plan To Make Crypto Safe For All
- Chaos Scientist Finds Hidden Financial Risks That Regulators Miss
- Inside the World’s Most Elite (and Secret) Traders’ Club
- Jim Simons, the Numbers King
- Recipe for Disaster: The Formula That Killed Wall Street
- The Aesthetic Beauty of Math
- The Brexit Short: How Hedge Funds Used Private Polls to Make Millions
- The Massive Hedge Fund Betting on AI
- The theory that will take artificial intelligence to the trading floor
- This MIT Economist Has a New Theory of Finance
Careers and Recruitment
Interviews
Computational Finance Topics
Blockchain Technology
General Computation
GPUs & Parallel Processing
Machine Learning & AI
- A.I. Is Awesome, Blockchain Is a Powerhouse. But Here’s What Combining Them Could Do
- AI pioneer Geoff Hinton: “Deep learning is going to be able to do everything”
- Artificial intelligence and machine learning: A new blueprint for the fintech industry
- Experimenting With GPT-3 Felt Like Witnessing a Technological Revolution
- The Massive Hedge Fund Betting on AI
- The theory that will take artificial intelligence to the trading floor
Parallel Processing
GPGPU Technology
Quantum Computing
General Investing Topics
Behavioural Finance
Financial Crises
Pure Mathematics
People and Profiles
- AI pioneer Geoff Hinton: “Deep learning is going to be able to do everything”
- Bitcoin’s Guardian Angel: Inside Coinbase Billionaire Brian Armstrong’s Plan To Make Crypto Safe For All
- Chaos Scientist Finds Hidden Financial Risks That Regulators Miss
- Jim Simons, the Numbers King
- Quants of the year – Jim Gatheral and Mathieu Rosenbaum
- This MIT Economist Has a New Theory of Finance
Quant Fundamentals
Research
Research Resources
Scientific Topics
Complexity Science
Trading Topics
Algorithmic Trading