KALSHI · CFTC-CLEARED BINARY CONTRACT · ELECTIONS

Will Glenn Youngkin be the nominee for the Presidency for the Republican party?

YES · live
0.6¢
NO · live
99.4¢

▸ Advanced metrics · M2M bundle

kalshi · kxpresnomr-28-gy · fresh · feed 57s old
24h sparkline · 60 pts▼ —
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
137
store
spread
1818.2 bps
24h Δ
—
flow lean
—
carry
flat
signalNEUTRALconfidence 20%
Same bundle via M2M API: /api/m2m/kalshi-kxpresnomr-28-gy/bundle · venue execution: kalshi →
LIVEPOLL0SRCWARMING57.2s⏱--:--:-- 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
0.6¢
NO · live
99.4¢
YES price · live 24h (Kalshi candlesticks)
no history
no history
YES / NO split · live
YES 0.6%NO 99.4%NO99.4%99.45¢ · odds 1/1.01
Σ 100.05% · fair
Σ-sides total = 100.05% (tight rounding)
H(p) entropy = 0.053 / 1.00 bits (5%) · informative — one side favoured
YES
0.6%0.6¢166.67×▬ +0.00pp
NO
99.4%99.4¢1.01×▬ +0.00pp
Σ 100.05% · arb gap 0.05pp
Live numerics · pulse on poll
LIVE NUMERICS9 metrics·POLL 0
⏱snapshot age
57.2s
·ticker
KXPRESNOMR-28-GY
▲YES bid
0.50¢
▲YES ask
0.60¢
ΣΣ sides
100.05%
⚖arb gap
0.050pp
$24h vol $
$16.6
◐open interest $
$763.6k
◳history points
0 bars (live)

§1 · Quote

Ticker
KXPRESNOMR-28-GY
Event ticker
KXPRESNOMR-28
YES bid / ask
0.50¢ / 0.60¢ (spread 0.10pp)
NO bid / ask
99.40¢ / 99.50¢
Last YES
0.60¢
Σ-sides
100.05% (arb gap 0.05pp)

§2 · Activity

Volume 24h
$16.64
Volume total
$5.46k
Open interest
$763.57k
Liquidity
$0.00
Close time
2028-11-07T15:00:00Z · 871.2d from now
Status
active

§3 · Resolution rules

If Glenn Youngkin 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 (520 bars · effective 345133 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 871.2 d · σ/bar 0.023pp · expected |Δp| over horizon 3.36ppterminal variance p(1−p) = 0.0060 · n = 520✓ n = 520
μ per bar
-0.001pp
average Δp · drift
σ per bar
0.023pp
one-bar volatility · logit-free
Per-day movedaily
0.11pp
σ × √24
Per-horizon move871d
3.36pp
σ × √20908.650356944443
Terminal variancebinary
0.0060
p(1−p) at resolution
Current pricep
0.6¢
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 0.04pp · ES₉₅ 0.05pp · method parametric · drift-correcteddrift -0.001pp/bar · quantised: yes · median step 0.10pp · unique ratio 0.01✓ n = 520
VaR 95%
0.04pp
1.645·σ (parametric) of Δp
ES 95%
0.05pp
mean of the tail
Max drawdown
50.0pp
peak 1.2¢ → trough 0.6¢
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
0.6%
= price
Decimal oddsEU
166.667
total return per $1
AmericanUS
+16567
$100 wins $16567
FractionalUK
165.67 / 1
profit per $1 risked
Profit per $100stake
+$16566.67
clean dollar framing
-1000-5000+500+1000020406080100you · 0.6%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)
0.053 bit
max 1.0 at p = 0.5
Your entropyH(q)
0.053 bit
Δ +0.000 bit vs market
Surprise · YES−log₂ p
7.38 bit
self-information
Surprise · NO−log₂(1−p)
0.01 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

Upstream
api.elections.kalshi.com
Snapshot fetched
2026-06-20 10:20:01 UTC
Snapshot age
57.2s
SHA-256 attestation
6fbd9701b54159fea6e3f212794865fdc73c45b32c50becdc3a2994d25565e6a · 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 · 520 barsperiods/year ≈ 345.1K
Realized vol (annualised)
1478.00%
σ per bar = 0.025158
Mean return (annualised)
-46094.05%
μ per bar = -0.001336
Sharpe (rf=0)
-31.19
annualised; risk-free assumed zero
Max drawdown
50.00%
peak 0.01 → trough 0.01 over 383 bars

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