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

KALSHI · CFTC-CLEARED BINARY CONTRACT · ELECTIONS

Will Thomas Massie be the nominee for the Presidency for the Republican party?

YES · live
3.0¢
NO · live
97.1¢

▸ Advanced metrics · M2M bundle

kalshi · kxpresnomr-28-tmas · fresh · feed 5s old
24h sparkline · 60 pts 0.00%
realized vol (ann.)
0.00%
max drawdown
0.00%
sharpe
ulcer index
0.00%
RMS drawdown
pain index
0.00%
mean drawdown
mod. VaR 95%
0.00%
Cornish-Fisher
martin ratio
ret / ulcer
CDaR 95%
0.00%
cond. drawdown
gain/pain
Σgain / Σ|loss|
sterling
ret / CDaR
omega (θ=0)
1.00
upside/downside
roll spread
0.0 bps
implied (price-only)
bars used
739
store
spread
689.7 bps
24h Δ
0.00%
flow lean
carry
flat
signalNEUTRALconfidence 20%
Same bundle via M2M API: /api/m2m/kalshi-kxpresnomr-28-tmas/bundle · venue execution: kalshi
LIVEPOLL0SRCFRESH4.6s--:--:-- UTC8NEXT8.0sUP0s--:--HIST0/30
▶ STREAMING·HYPERLIQUID·POLYMARKET·0 POLLS·SRC FRESH·UPTIME 0s·NEXT POLL 8.0s·CC0 OPEN DATA·HYPO.MARKETS·▶ STREAMING·HYPERLIQUID·POLYMARKET·0 POLLS·SRC FRESH·UPTIME 0s·NEXT POLL 8.0s·CC0 OPEN DATA·HYPO.MARKETS·
YES · live
3.0¢
NO · live
97.1¢
YES price · live 24h (Kalshi candlesticks)
no history
no history
YES / NO split · live
YES 3.0%NO 97.0%NO97.0%97.10¢ · odds 1/1.03
Σ 100.10% · fair
Σ-sides total = 100.10% (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%97.1¢1.03× +0.00pp
Σ 100.10% · arb gap 0.10pp
Live numerics · pulse on poll
LIVE NUMERICS9 metrics·POLL 0
snapshot age
4.6s
·ticker
KXPRESNOMR-28-TMAS
YES bid
2.80¢
YES ask
3.00¢
ΣΣ sides
100.10%
arb gap
0.100pp
$24h vol $
$96.2
open interest $
$1.6M
history points
0 bars (live)

§1 · Quote

Ticker
KXPRESNOMR-28-TMAS
Event ticker
KXPRESNOMR-28
YES bid / ask
2.80¢ / 3.00¢ (spread 0.20pp)
NO bid / ask
97.00¢ / 97.20¢
Last YES
3.00¢
Σ-sides
100.10% (arb gap 0.10pp)

§2 · Activity

Volume 24h
$96.17
Volume total
$77.54k
Open interest
$1.61M
Liquidity
$0.00
Close time
2028-11-07T15:00:00Z · 877.0d from now
Status
active

§3 · Resolution rules

If Thomas Massie wins and accepts the nomination for the Presidency for the Republican party, then the market resolves to Yes.

▸ Depth section using sovereign-store price series (739 bars · effective 350734 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 877.0 d · σ/bar 0.000pp · expected |Δp| over horizon 0.00ppterminal variance p(1−p) = 0.0291 · n = 739n = 739
μ per bar
+0.000pp
average Δp · drift
σ per bar
0.000pp
one-bar volatility · logit-free
Per-day movedaily
0.00pp
σ × √24
Per-horizon move877d
0.00pp
σ × √21047.580718888887
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 0.00pp · ES₉₅ 0.00pp · method parametric · drift-correcteddrift +0.000pp/bar · quantised: yes · median step 0.00pp · unique ratio 0.00n = 739
VaR 95%
0.00pp
1.645·σ (parametric) of Δp
ES 95%
0.00pp
mean of the tail
Max drawdown
0.0pp
peak 3.0¢ → trough 3.0¢
Median step
0.00pp
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
2026-06-14 15:25:04 UTC
Snapshot age
4.6s
SHA-256 attestation
c1d17bd1980320996dc806e32ec5e8c05e7c4fac911505396e056fc387719bf9 · 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 · 739 barsperiods/year ≈ 350.7K
Realized vol (annualised)
0.00%
σ per bar = 0.000000
Mean return (annualised)
0.00%
μ per bar = 0.000000
Sharpe (rf=0)
0.00
annualised; risk-free assumed zero
Max drawdown
0.00%
peak 0.03 → trough 0.03 over 0 bars

/api/asset/kalshi-kxpresnomr-28-tmas/risk · same metrics, JSON