We're watching the financialization of sports happen in real time.
What started as betting is becoming a market structure problem: liquidity provision, adverse selection, market making, probability modeling, and execution.
That's exactly why hedge funds and quantitative traders are paying attention now.
AI makes it easier to ship.
The differentiator is becoming domain expertise, judgment, and knowing where the real opportunities are.
Everyone can generate code.
Few can generate insight.
Claude Code creator:
"I don't prompt Claude anymore. I write loops - and the loops do the work. My job is to write loops."
in 30 minutes Boris reveals his actual daily Claude Code setup.
Claude Code + loops + dynamic workflow
Worth more than a $500 vibe-coding course
i have seen enough proof now that using a coding agent is a deep skill
it's confusing because the people you see heavily using them produce horrible results
but that's because it's a skill! you can get better and the ceiling seems pretty high - this is very exciting to me
One thing that's really appealing about working as a quant is that, unlike building SaaS products, you generally don't have to spend your time on marketing, sales, customer acquisition, or client support.
Your primary focus is finding alpha, managing risk, improving strategies, and driving P&L for the firm.
Unless you're raising capital or running an external fund, most of your energy goes into research and execution rather than selling.
Built my own sports prediction market trading platform and spent months studying how quantitative and high-frequency trading firms architect their systems.
Along the way I learned a tremendous amount about order book reconstruction, market microstructure, regime classification, smart order routing, execution systems, and risk management.
From a technical perspective, the core infrastructure is now largely built.
The primary focus going forward is quantitative research: developing predictive signals, validating hypotheses through rigorous backtesting, and then testing every strategy out-of-sample to ensure it has genuine predictive power before deployment.
Introducing Claude Opus 4.8: it builds on Opus 4.7 with sharper judgment, more honesty about its own progress, and the ability to work independently for longer than its predecessors.
Available today at the same price.