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

KALSHI · CFTC-CLEARED BINARY CONTRACT · ELECTIONS

Will Jon Ossoff be the Democratic Presidential nominee in 2028?

YES · live
11.0¢
NO · live
88.5¢

▸ Advanced metrics · M2M bundle

kalshi · kxpresnomd-28-joss · fresh · feed 1m old
24h sparkline · 37 pts
realized vol (ann.)
98.93%
max drawdown
8.33%
sharpe
ulcer index
2.37%
RMS drawdown
pain index
0.68%
mean drawdown
mod. VaR 95%
0.35%
Cornish-Fisher
martin ratio
ret / ulcer
CDaR 95%
8.33%
cond. drawdown
gain/pain
0.00
Σgain / Σ|loss|
sterling
ret / CDaR
omega (θ=0)
0.00
upside/downside
roll spread
48.6 bps
implied (price-only)
bars used
37
store
spread
869.6 bps
24h Δ
flow lean
carry
flat
signalNEUTRALconfidence 20%
Same bundle via M2M API: /api/m2m/kalshi-kxpresnomd-28-joss/bundle · venue execution: kalshi
LIVEPOLL0SRCWARMING1.3m--:--:-- 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
11.0¢
NO · live
88.5¢
YES price · live 24h (Kalshi candlesticks)
no history
no history
YES / NO split · live
YES 11.1%NO 88.9%NO88.9%88.50¢ · odds 1/1.13
Σ 99.50% · moderate
Σ-sides total = 99.50% (0.50pp arb gap)
H(p) entropy = 0.502 / 1.00 bits (50%) · moderate uncertainty
YES
11.1%11.0¢9.09× +0.00pp
NO
88.9%88.5¢1.13× +0.00pp
Σ 99.50% · arb gap 0.50pp
Live numerics · pulse on poll
LIVE NUMERICS9 metrics·POLL 0
snapshot age
1.3m
·ticker
KXPRESNOMD-28-JOSS
YES bid
11.00¢
YES ask
12.00¢
ΣΣ sides
99.50%
arb gap
0.500pp
$24h vol $
$3.4k
open interest $
$3.2M
history points
0 bars (live)

§1 · Quote

Ticker
KXPRESNOMD-28-JOSS
Event ticker
KXPRESNOMD-28
YES bid / ask
11.00¢ / 12.00¢ (spread 1.00pp)
NO bid / ask
88.00¢ / 89.00¢
Last YES
11.00¢
Σ-sides
99.50% (arb gap 0.50pp)

§2 · Activity

Volume 24h
$3.42k
Volume total
$516.12k
Open interest
$3.20M
Liquidity
$0.00
Close time
2028-11-07T15:00:00Z · 871.3d from now
Status
active

§3 · Resolution rules

If Jon Ossoff wins and accepts the nomination for the Presidency for the Democratic party, then the market resolves to Yes.

▸ Depth section using sovereign-store price series (420 bars · effective 344091 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 871.3 d · σ/bar 0.225pp · expected |Δp| over horizon 32.57ppterminal variance p(1−p) = 0.0979 · n = 420n = 420
μ per bar
+0.005pp
average Δp · drift
σ per bar
0.225pp
one-bar volatility · logit-free
Per-day movedaily
1.10pp
σ × √24
Per-horizon move871d
32.57pp
σ × √20911.138887222223
Terminal variancebinary
0.0979
p(1−p) at resolution
Current pricep
11.0¢
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 0.37pp · ES₉₅ 0.46pp · method parametric · drift-correcteddrift +0.005pp/bar · quantised: yes · median step 0.10pp · unique ratio 0.03n = 420
VaR 95%
0.37pp
1.645·σ (parametric) of Δp
ES 95%
0.46pp
mean of the tail
Max drawdown
10.0pp
peak 11.0¢ → trough 9.9¢
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
11.0%
= price
Decimal oddsEU
9.091
total return per $1
AmericanUS
+809
$100 wins $809
FractionalUK
8.09 / 1
profit per $1 risked
Profit per $100stake
+$809.09
clean dollar framing
-1000-5000+500+1000020406080100you · 11.0%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)
0.500 bit
max 1.0 at p = 0.5
Your entropyH(q)
0.500 bit
Δ +0.000 bit vs market
Surprise · YES−log₂ p
3.18 bit
self-information
Surprise · NO−log₂(1−p)
0.17 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 07:50:21 UTC
Snapshot age
1.3m
SHA-256 attestation
8abe5047f2cad5689ae613cd6fd55e04e1ae9d6036f95af18e1ca22724688769 · 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)
1232.67%
σ per bar = 0.021014
Mean return (annualised)
17397.03%
μ per bar = 0.000506
Sharpe (rf=0)
14.11
annualised; risk-free assumed zero
Max drawdown
10.00%
peak 0.11 → trough 0.10 over 10 bars

/api/asset/kalshi-kxpresnomd-28-joss/risk · same metrics, JSON