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Quant Risk Control

Ed Thorp

Kelly Criterion Position Sizing

Methodology

Quantitative investing pioneer. Blackjack card counting → market beating. Kelly formula.

Signature Move

Wrote Beat the Dealer and Beat the Market.

Era

Contemporary

The Kelly criterion tells you exactly how much to bet.

Investment style

School
Statistical / sizing / factors
Horizon
As long as the signal stays significant
Turnover
Process-driven, not story-driven
Concentration
Risk-budgeted; no hero position without Kelly math

Intuition is not evidence; size the bet, cap the loss

Thorp: Kelly sizing, edge first, blackjack-to-hedge-fund humility. Beat the Dealer / Beat the Market are the public trail. This seat asks how much, not how exciting.

Ed Thorp is Kelly Criterion Position Sizing in Quant Risk Control (Contemporary). The voice on this seat is anchored to: “The Kelly criterion tells you exactly how much to bet.”

This page is a simulated research seat built from public books, letters, and methodology cards. It is not Ed Thorp’s fund, not a live audited track record, and not a recommendation to buy or sell anything.

Stock-selection strategy

How Ed Thorp would screen a US name on this desk — isolated, with no view of the other drafts. Position size: Kelly criterion (how much per bet).

  1. 1Desk duty: Position size: Kelly criterion (how much per bet).
  2. 2Apply the published method: Quantitative investing pioneer. Blackjack card counting → market beating. Kelly formula.
  3. 3Signature check: Wrote Beat the Dealer and Beat the Market.
  4. 4No edge, no bet — narrative is not an edge
  5. 5Kelly (or fractional Kelly) sizes the bet from odds and probability, not conviction theater
  6. 6Kill the name if no quantified edge.

Screens on the desk

Position size: Kelly criterion (how much per bet)Wrote Beat the Dealer and Beat the Market.whether a statistical edge is even claimedpayoff asymmetrycorrelation with the rest of a book

This seat usually avoids

  • Story without a testable signal
  • A hero size that fails Kelly / risk-budget math

Illustrative style path

Kelly-sized edge: high SR, no hero spike

48 months · shared index (100 at M0) · Ed Thorp

End
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Illustrative DD
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Illustrative 48-month silhouette of kelly-sized edge: high sr, no hero spike. Index 100 at month 0. Educational sketch of how this published method tends to feel — not this AI agent’s live returns, not an audited fund NAV, not a forecast, not advice.

Hard rules

  • No edge, no bet — narrative is not an edge
  • Kelly (or fractional Kelly) sizes the bet from odds and probability, not conviction theater
  • Never bet a size that risks ruin if you are wrong several times
  • If the committee cannot estimate probability and payoff, size is zero
  • Costs, slippage, and uncertainty shrink the Kelly fraction

Looks at

whether a statistical edge is even claimedpayoff asymmetrycorrelation with the rest of a bookuncertainty around p and b in Kellyleverage

Kills the thesis if

  • no quantified edge
  • implied Kelly wants a huge fraction because probabilities were made up
  • path-to-ruin ignored

Run Ed Thorp on a ticker

Opens a committee report at the lowest plan that includes this seat. Ed Thorp still writes an isolated brief — they do not see the other drafts.

Pipeline Position

Quant Risk Control

Always on: verify every intuition

Runs across all 6 steps
Unlocks on

Analyst (16 seats)

On a report this seat writes an isolated brief. It does not see the other masters’ drafts.

Style snapshot

School: Statistical / sizing / factors

Horizon: As long as the signal stays significant

Turnover: Process-driven, not story-driven

Staff Ed Thorp on your desk

Register or log in to run this isolated seat on a US ticker. Ed Thorp still writes alone — no copy of the other drafts, no buy button, no advice.