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CALIBRE
How it is measured

Method

How CALIBRE measures a wallet's record, what the study found, and what none of it can show.

The data behind it

Plain sums over the study outputs, written by scripts/scale-stats.ts. Nothing is estimated or extrapolated.

$1.78B
Polymarket's own trading-volume figure, summed over the 4,587 closed sports markets in the square-money replay (142 leagues).
$197.6M
Money that pushed the 11,975 replayed moves, traced to 10,113 distinct taker wallets.
790,185
Bets scored against the price paid in the wallet index: 5,740 wallets, 69,914 wallet-by-league records, 197 leagues and categories.
356,116
Bets scored in the profit-blind study of 1,006 wallets that the label test uses.

How edge is measured

Edge is the average of (won minus price paid) over a wallet's resolved bets, in probability points. A bet bought at 40 cents that wins counts +0.60, one that loses counts -0.40. If prices were fair, the average would be zero.

  • One bet is counted per wallet per market, so splitting one bet into twenty fills does not count twenty times. A sell is scored as a bet on the other side at one minus the price.
  • Under "prices are fair", edge has a known standard error, the square root of the sum of p(1-p), divided by the number of bets. That gives a z-score and the error band you see as edge ± 2 standard errors.
  • Pre-game bets (placed before the game or event started) and in-play bets (placed once it was live) are scored separately: the first is forecasting, the second is reaction speed.
  • Sniping is a bet at 97 cents or more, or 3 cents or less, where the outcome was effectively decided. These are set apart, with their own share and edge, and never counted as an edge.
  • The call: proven edge only if z is at least 2 and there are at least 100 bets in a phase; negative edge if z is -2 or lower; too early under 30 bets; otherwise no proven edge (consistent with luck). A wallet is flagged mostly sniping when more than 40% of its resolved bets are sniping.

The X-ray labels and square money

The wallet X-ray puts every wallet in one of five labels, read in this order from its overall record (pre-game and in-play together, one bet per market, sniping excluded):

  • Proven losing record: overall z of -2 or lower over at least 30 bets. Lost again in testing (−3.8 pts next, 81% of wallets).
  • Mostly sniping: more than 40% of resolved markets were bought at 97 cents or more, or 3 cents or less.
  • Too early: under 30 scored bets.
  • Proven winning record: overall z of 2 or more over at least 100 bets. Rare; stayed ahead modestly in testing (+2.2 pts next).
  • No proven edge: everything else.

Square money on a market is the share of the money pushing its latest move (4 points or more in the last 6 hours) that came from wallets labeled proven losing record. Only the six biggest takers are audited, so every figure comes with its coverage: the share of the pushing money that could be judged. It is a caution signal, not a trade recommendation: see the replay below, which is early evidence and not conclusive.

Label validation: the labels predict what a wallet does next

Do the labels predict? Each wallet gets the label it would have had from its older bets; the table shows its edge on its newer bets. 97 of the 983 wallets earned one of the two proven labels.

Label from the older halfWalletsOlder edgeNext edge (pts)95% intervalNegative next half
Proven losing record57−9.1−3.8−5.1 to −2.481%
Proven winning record40+8.3+2.2+0.5 to +4.138%
No proven edge801+0.2−1.0−1.3 to −0.760%
Too early85+2.7−1.9−4.3 to +1.060%
All wallets983+0.2−1.1−1.5 to −0.761%

Reading it. A proven losing record is the strongest label: 57 wallets, −3.8 pts per bet on their next bets (interval −5.1 to −2.4), against −1.1 for all wallets. A proven winning record is rare and modest: 40 wallets, +2.2 pts (interval +0.5 to +4.1). Most wallets (the "no proven edge" row) did slightly worse than zero.

Method.

  • Source: the per-wallet lines of the 1,000-wallet skill-persistence study (profit-blind wallets drawn from random sports markets, already-decided bets at 97 cents or more, or 3 cents or less, excluded). 983 wallets have a result line.
  • Each wallet's bets are split at the middle. The older half is what the X-ray would have known; the newer half is what happened next. The label comes from the older half with the live rules.
  • Edge is points won above the price paid, per bet, one pick per market. Intervals are 95% bootstrap over wallets (2,000 resamples, fixed seed); each wallet counts once.
  • The sniping label cannot be derived from the study logs and is left out.

Caveats.

  • The result is mostly driven by in-play bets. By phase, the losing label: in-play −3.5 (−5.1 to −2.0, 47 wallets), pre-game −1.2 (−3.8 to +1.6, 21 wallets). The winning label: in-play +0.9 (−1.2 to +3.1, 15 wallets), pre-game −1.0 (−3.1 to +1.3, 11 wallets). The winning label is not significant in either phase on its own.
  • Older and newer halves of the same wallet share its style, and wallets trade the same events, so the intervals are optimistic. This is a test of whether labels carry information, not a trading backtest.
  • Edge ignores fees, bet size and bankroll. It is not profit.

Square-money replay: early evidence, not conclusive

11,975 real moves of 6 points or more within 60 minutes, in 4,587 closed sports markets. The six biggest takers of each move are labeled using only bets that resolved before the move.

Moves pushed byMovesFollow edge, pts [95% CI]
proven losers (50% or more of the labeled flow)436−2.4 [−6.4, +1.4]
mixed556−1.0 [−4.4, +2.5]
no proven losers (clean)3,597+0.7 [−0.7, +2.1]
all labeled moves4,589+0.2 [−1.0, +1.5]

Reading it. Following a loser-driven move did −3.1 pts worse than following a clean one (one-sided permutation p = 0.073). The interval for loser-driven moves spans zero, so this is early evidence, not conclusive. An earlier, smaller run (4,355 moves) gave -3.8 pts at p about 0.14: the larger run narrowed the interval and the gap held in direction.

  • Follow edge is the final result minus the price at the end of the move, in the move's direction. Negative means the move overshot.
  • A move counts as loser-driven when proven losers are 50% or more of the labeled flow; "mixed" sits between that and none. 4,589 of the 11,975 moves had takers with enough resolved bets to label.
  • By phase: pre-game, loser-driven 147 moves at −1.8 against −0.8 for clean ones; in-play, 289 moves at −2.8 against +1.5.
  • Moves in the same market, and markets on the same event, are not independent, so the interval and the p-value are optimistic. Only 176 moves were loser-driven.
  • CALIBRE shows square money as a caution signal about who pushed the price. It does not tell anyone what to trade.

The earlier studies, and their correction

The earlier sections of docs/FINDINGS.md, rendered as is. The first study was corrected on 3 Nov 2026 after a stricter test.

Earlier: wide study of 1,000 wallets, best and worst thirds (3 Nov 2026)

Same method as below (scripts/wide-study.sh, already-decided bets at ≥0.97/≤0.03 excluded), with 1,000 wallets sampled without regard to profit from 2,000 random sports markets, plus the 25 top earners. Full report: research/wide-study on the build machine; summary:

Bets counted, profit-blind walletsWalletsRank correlation, older vs newer edgepBest third by older edge: newer edgeWorst third: newer edge
All9830.17<0.0001−0.2 pts−2.1 pts
All, 100+ bets8400.21<0.0001+0.3 pts−2.1 pts
Pre-game, 100+ bets4030.070.09−0.8 pts−1.9 pts
In-play, 100+ bets6830.14<0.0001−0.5 pts−2.0 pts
Top earners (all)23−0.040.57−1.1 pts+0.4 pts
  • With enough wallets, track records do persist, but almost entirely on the losing side: wallets in the best third roughly break even afterwards, while wallets in the worst third keep losing about 2 points per bet.
  • No third showed a reliably positive future edge. The stricter label above (z of 2 or more over 100+ bets) does show a modest one, so a rare proven winning record carries some information, while ranking wallets by raw edge does not.
  • The profit leaderboard carries no persistent signal.
  • The 40-wallet study below lacked the power to see this; it is kept as the record of how the method was corrected.

---

Earlier: apparent trader "skill" does not persist once you remove already-decided bets (40 wallets)

Studies run 2–3 Nov 2026 with scripts/skill-persistence.ts (SOURCE=public SAMPLE=active TRADES=1000, plus PHASE). This file was corrected on 3 Nov after a stricter test; the first version reported persistence that came from an artefact.

Question

Does a Polymarket sports trader's edge against the price they paid in their older bets predict their edge in their newer bets? If yes, weighting a market move by who traded it carries real information.

Method

  • Edge = mean of (won − price paid), one pick per wallet per market, sells scored as the opposite side (packages/core/src/edge.ts, picks.ts). Under "prices are fair", edge has standard error √(Σ p(1−p))/n.
  • Each wallet's last ≤1,000 trades are split chronologically into an older and a newer half.
  • Two samples: 25 top earners from the SPORTS profit leaderboard (biased: chosen for recent profit), and 40 profit-blind wallets active in at least 3 of 120 random sports markets (chosen without looking at profit).
  • Bet phases (PHASE): pre-game (placed before the game started, from Gamma gameStartTime / eventStartTime), in-play (placed after it started), all. Bets at prices ≥0.97 or ≤0.03, where the outcome was effectively decided, are excluded in the corrected runs.
  • Trades from Polymarket's public Data API, resolutions and start times from Gamma. Significance by permutation test on the rank correlation (5,000 shuffles).

Results (profit-blind sample unless noted)

Bets countedWalletsRank correlation, older vs newer edgep
All, including already-decided bets (first run)400.41≈0.005
All, already-decided bets excluded400.12≈0.23
Pre-game only300.03≈0.45
In-play only40−0.10≈0.73
Top earners, all, already-decided excluded23−0.07≈0.63
  • The persistence in the first run came from wallets that repeatedly buy outcomes that are already decided (for example at 98¢). That strategy earns a small, steady edge, so it looks persistent, but it is not forecasting and it says nothing about whether a market move is informed.
  • Once those bets are removed, no group of wallets shows edge that carries over from older to newer bets, pre-game or in-play. Few wallets clear z ≥ 2 at all (1 of 40 profit-blind wallets on all phases).
  • The profit leaderboard is no better: past edge of top earners does not predict their future edge.

What it means

  • With the bet counts individual wallets have (a few hundred), a wallet's measured edge is dominated by luck. Most "smart money" a copy-trader would follow is either luck or already-decided-bet sniping.
  • CALIBRE therefore must not label a move "sharp money" from wallet history alone. Its honest job is to show who moved a market, what each wallet's record really is once sniping and luck are accounted for, and to say plainly when nobody behind a move has a proven edge.

Caveats

  • 65 wallets, one split per wallet; wallets trade the same events, so they are not independent.
  • Real skill smaller than about ±3 points per bet cannot be detected per wallet at these sample sizes; it may exist and be invisible. Cohort-level tests with many more wallets could detect it.
  • Raw rows of the first run: docs/skill-persistence-results.json.

Limitations

  • A wallet audit reads at most the newest 1,000 trades. Older history is not counted.
  • Polymarket accounts trade through a proxy wallet, and one person can run several wallets. The audit sees an address, not a person.
  • A past record is not a promise. The label test found a proven losing record predicts well, a proven winning record only modestly, and raw edge or leaderboard rank not at all.
  • Edge is measured against the price paid. It ignores fees, bet size and bankroll, so it is not profit.
  • Resolutions and start times come from Polymarket's Gamma API. A market without a start time treats the last 3 hours before its close as in-play.
  • Verdicts sealed before model v2 can carry forecasts far from the price. They stay as sealed because Walrus Memory is append-only.
  • This is not financial advice.