Kalshi · cross-venue tool — comparing every venue, not just Kalshi. Kalshi

KALSHI · CFTC-CLEARED BINARY CONTRACT · SPORTS

Will Sam Burns win the U.S. Open?

YES · live
3.0¢
NO · live
97.0¢

▸ Advanced metrics · M2M bundle

kalshi · kxpgatour-uso26-sbur · fresh · feed 42s old
24h sparkline · 38 pts
realized vol (ann.)
9.76%
max drawdown
3.23%
sharpe
ulcer index
1.05%
RMS drawdown
pain index
0.34%
mean drawdown
mod. VaR 95%
0.03%
Cornish-Fisher
martin ratio
ret / ulcer
CDaR 95%
3.23%
cond. drawdown
gain/pain
0.00
Σgain / Σ|loss|
sterling
ret / CDaR
omega (θ=0)
0.00
upside/downside
roll spread
18.2 bps
implied (price-only)
bars used
38
store
spread
327.9 bps
24h Δ
flow lean
carry
flat
signalNEUTRALconfidence 20%
Same bundle via M2M API: /api/m2m/kalshi-kxpgatour-uso26-sbur/bundle · venue execution: kalshi
LIVEPOLL0SRCWARMING42.1s--:--:-- UTC8NEXT8.0sUP0s--:--HIST0/30
▶ STREAMING·HYPERLIQUID·POLYMARKET·0 POLLS·SRC WARMING·UPTIME 0s·NEXT POLL 8.0s·CC0 OPEN DATA·HYPO.MARKETS·▶ STREAMING·HYPERLIQUID·POLYMARKET·0 POLLS·SRC WARMING·UPTIME 0s·NEXT POLL 8.0s·CC0 OPEN DATA·HYPO.MARKETS·
YES · live
3.0¢
NO · live
97.0¢
YES price · live 24h (Kalshi candlesticks)
no history
no history
YES / NO split · live
YES 3.0%NO 97.0%NO97.0%96.95¢ · odds 1/1.03
Σ 99.95% · fair
Σ-sides total = 99.95% (tight rounding)
H(p) entropy = 0.194 / 1.00 bits (19%) · informative — one side favoured
YES
3.0%3.0¢33.33× +0.00pp
NO
97.0%97.0¢1.03× +0.00pp
Σ 99.95% · arb gap 0.05pp
Live numerics · pulse on poll
LIVE NUMERICS9 metrics·POLL 0
snapshot age
42.1s
·ticker
KXPGATOUR-USO26-SBUR
YES bid
3.00¢
YES ask
3.10¢
ΣΣ sides
99.95%
arb gap
0.050pp
$24h vol $
$24.7k
open interest $
$3.2M
history points
0 bars (live)

§1 · Quote

Ticker
KXPGATOUR-USO26-SBUR
Event ticker
KXPGATOUR-USO26
YES bid / ask
3.00¢ / 3.10¢ (spread 0.10pp)
NO bid / ask
96.90¢ / 97.00¢
Last YES
3.00¢
Σ-sides
99.95% (arb gap 0.05pp)

§2 · Activity

Volume 24h
$24.74k
Volume total
$117.46k
Open interest
$3.23M
Liquidity
$0.00
Close time
2026-07-05T04:00:00Z · 14.8d from now
Status
active

§3 · Resolution rules

If Sam Burns wins the U.S. Open, then the market resolves to Yes.

▸ Depth section using sovereign-store price series (420 bars · effective 344125 bars/year) — annualisation reflects native polling cadence, not upstream timeframes.

§4 · Honest position analytics

A binary-market analytics module framed in horizon time (days to resolution, not annualised). Estimators that need a model probability q as a first-class input (Kelly, KL divergence, Bayesian posterior, Mark-to-Market MC) only render when q is provided externally. Sweep an exploratory q at the interactive simulator →

§5 · Horizon returns

Returns · per bar / per day / per horizon
Horizon 14.8 d · σ/bar 0.169pp · expected |Δp| over horizon 3.19ppterminal variance p(1−p) = 0.0291 · n = 420n = 420
μ per bar
+0.003pp
average Δp · drift
σ per bar
0.169pp
one-bar volatility · logit-free
Per-day movedaily
0.83pp
σ × √24
Per-horizon move15d
3.19pp
σ × √356.1250366666667
Terminal variancebinary
0.0291
p(1−p) at resolution
Current pricep
3.0¢
latest snapshot
Note: annualised Sharpe/Sortino are omitted — they are not meaningful for a bounded fixed-horizon binary contract that snaps to {0, 1} at resolution.
Annualised metrics are intentionally omitted — they don't apply to bounded probability series that resolve at a fixed date.

§6 · Tail risk

VaR · ES · max drawdown
VaR₉₅ 0.28pp · ES₉₅ 0.35pp · method parametric · drift-correcteddrift +0.003pp/bar · quantised: yes · median step 0.10pp · unique ratio 0.07n = 420
VaR 95%
0.28pp
1.645·σ (parametric) of Δp
ES 95%
0.35pp
mean of the tail
Max drawdown
55.9pp
peak 6.8¢ → trough 3.0¢
Median step
0.10pp
price bucket granularity
Price series is bucketed (cent grid). Empirical quantiles collapse to grid points — parametric N(0, σ²) used instead.
Empirical quantiles unless the price series is bucketed (PM cent grid), in which case parametric N(0, σ²) is used to avoid grid collapse.

§7 · Odds conversion

Odds conversion · every dialect a bettor thinks in
Implied probabilityP
3.0%
= price
Decimal oddsEU
33.333
total return per $1
AmericanUS
+3233
$100 wins $3233
FractionalUK
32.33 / 1
profit per $1 risked
Profit per $100stake
+$3233.33
clean dollar framing
-1000-5000+500+1000020406080100you · 3.0%implied probability (%)American odds
underdog (+)favorite (-)your price
Price → implied probability → decimal odds → American moneyline → fractional. Five views of the same number, plus the moneyline curve.

§8 · Binary entropy

Binary entropy · uncertainty as bits of information
Market entropyH(p)
0.194 bit
max 1.0 at p = 0.5
Your entropyH(q)
0.194 bit
Δ +0.000 bit vs market
Surprise · YES−log₂ p
5.06 bit
self-information
Surprise · NO−log₂(1−p)
0.04 bit
self-information
0.000.260.530.791.050.00.20.40.60.81.0marketmodelprobabilityH (bits)
Market entropy only — model entropy requires an external q.

§9 · Model-dependent surfaces

§ Edge / Kelly / KL · no model probability provided

External model required

The position-economics, Kelly, KL-divergence, Bayesian and Monte-Carlo surfaces require a model probability q as input — a number independent of the market price p.

The previous build defaulted q to a tape-momentum heuristic derived from p; that produces apparent edge that is structurally guaranteed to be small and is not a useful skill signal. The auto-derived path has been removed.

To explore these surfaces with a hypothetical q, open the interactive simulator and drag the MODEL P(YES) slider. To wire a real model, POST to the NOSTRADAMUS hook (TBD) or pass ?q=… on the simulator URL.

§∞ · Provenance & attestation

Snapshot fetched
2026-06-20 07:51:47 UTC
Snapshot age
42.1s
SHA-256 attestation
5401f3ddfdc2c52fdbb83c909bef83034569b9e9c9649d51a2e06d39dd2eed17 · deterministic hash of the source snapshot — proves this page was rendered from this exact data
Open data licence
CC0 / public domain · free to mirror, syndicate, analyse

Risk metrics

sovereign store · 420 barsperiods/year ≈ 344.1K
Realized vol (annualised)
2757.29%
σ per bar = 0.047003
Mean return (annualised)
37513.55%
μ per bar = 0.001090
Sharpe (rf=0)
13.61
annualised; risk-free assumed zero
Max drawdown
55.88%
peak 0.07 → trough 0.03 over 38 bars

/api/asset/kalshi-kxpgatour-uso26-sbur/risk · same metrics, JSON