AI-Native Quantitative Fund

Prophet

The AI-native fund that grows with prediction markets.Bridging traditional finance and event markets through AI-driven probability extraction, autonomous agents, and closed-loop alpha.

Market Opportunity

Explosive Growth, No Institutional Player

Prediction markets are growing faster than early online brokerages — yet no quantitative fund trades them systematically.

$23.8B

Kalshi 2025 trading volume

$9B+

Polymarket 2024 trading volume

12B+

Contracts traded on Robinhood in 2025

~50%

Americans under 45 who have used prediction markets

The Engine

AI-Native Trading Pipeline

A self-evolving 24/7 system that scans broadly, reasons deeply, and gets smarter after every trade.

🔭

Broad Scan

State Dept, UN Security Council, FRED, SEC, NWS, Twitter/X, Reuters — 6 source types monitored 24/7

🔗

Contract Pair Discovery

Finds correlated contracts cross-platform — structural mispricings between Kalshi & Polymarket

Real-Time Probability Update

Breaking events instantly update P(event) — e.g., diplomatic tweet → P(conflict ends) shifts in seconds

🧠

Human-in-the-Loop

Low-confidence signals pause for review via Telegram. Arb: 5min expiry. Directional: 30min.

🔄

Evolve & Auto-Execute

Wrong predictions → reflection → improved priors. Confident patterns graduate to full automation.

Structural Advantage

Why AI-Native Changes Everything

01

Breadth No Human Can Match

A human analyst covers 5–10 markets. Prophet scans 6 source types and 1,000+ contracts simultaneously, finding non-obvious correlations across exchanges.

02

Deep Reasoning Across Scenarios

Multi-hop reasoning: 'If Trump tweets X, what does that imply for contract Y given causal constraint Z?' Autonomous tool calls per signal convert raw news into probability-weighted edge.

03

Compounds With Every Trade

After each resolved contract, the system reflects to identify wrong probability estimates and updates priors. Confident strategies graduate from human-approval to auto-execute.

Competitive Landscape

No One Is Doing This

A $260M-revenue regulated exchange, $9B competitor, and institutional capital flowing in — with zero quantitative infrastructure.

No Dedicated Quant Funds

Renaissance, Two Sigma, DE Shaw — none trade prediction markets systematically. The space is dominated by retail.

No Options-to-Prediction Bridge

Decades of vol surface models and risk-neutral density estimation for equities. None applied to Kalshi or Polymarket.

Huge Market Maker Opportunity

Kalshi's LIP ($5M/month) and Polymarket's $300K/month maker rebates are essentially unclaimed. Near-zero competition.

No Contract Design Advisors

No firm helps corporations structure prediction market hedges. The CFTC Part 40 self-certification process is opaque to non-specialists.

Revenue

Three Compounding Revenue Streams

Each reinforces the others — better systems drive better trading; better track record attracts advisory clients.

1

Proprietary Trading

  • Options → Event Probability arbitrage
  • Causal Consistency Arbitrage
  • Fundamental Signal Layer
  • Closed-Loop Feedback Engine
2

Market Making

  • Two-sided quotes via Avellaneda-Stoikov model
  • Kalshi LIP: up to $5M/month incentives
  • Polymarket: $300K/month rebates
  • Reduced fees + higher position limits
3

Contract Design Advisory

  • Help companies hedge policy exposure
  • CFTC Part 40 self-certification guidance
  • Co-invest alongside clients
  • Retainer + co-investment carry

Team

Quant Trader + AI at Scale

PW

Peter Wei

Founder

  • Barclays — Boosted market share 12x via ML, top market maker on Wall Street
  • C3.ai — Senior AI Scientist: enterprise AI for Bank of America, AMD
  • MS Financial Engineering + MS Computer Science
  • Built full-stack Prophet infrastructure; live strategies on Kalshi with real capital deployed
SA

Strategic Advisor

Top-Tier Hedge Fund PM

  • Portfolio manager at a top-tier hedge fund
  • Former quant trader — event-driven strategies, stochastic process pricing, volatility arbitrage
  • Mathematical Olympiad gold medalist
  • Long-standing collaboration with Peter

Vision

The AI-Native Fund Thesis

Prediction markets are our proving ground, but the real thesis is larger: AI agents that react to real-world events in real time will transform every event-driven market. By building Prophet, we are developing the infrastructure for how AI agents price, trade, and make decisions under uncertainty — with natural expansion into macro trading, event-driven equities, catastrophe bonds, and any domain where outcomes are binary and information is asymmetric.

Let's Talk

Interested in Prophet?

Whether you're an investor, a potential partner, or a company looking to hedge event risk — we'd love to hear from you.