KALSHI · CFTC-CLEARED BINARY CONTRACT · SPORTS

India vs Pakistan Winner?

YES · live
89.0¢
NO · live
9.5¢

▸ Advanced metrics · M2M bundle

kalshi · kxwt20match-26jun140930pakind-ind · fresh · feed 1m old
24h sparkline · 60 pts
realized vol (ann.)
605.01%
max drawdown
13.98%
sharpe
ulcer index
4.09%
RMS drawdown
pain index
2.38%
mean drawdown
mod. VaR 95%
1.58%
Cornish-Fisher
martin ratio
ret / ulcer
CDaR 95%
11.77%
cond. drawdown
gain/pain
0.99
Σgain / Σ|loss|
sterling
ret / CDaR
omega (θ=0)
0.99
upside/downside
roll spread
52.1 bps
implied (price-only)
bars used
332
store
spread
331.5 bps
24h Δ
flow lean
carry
flat
signalNEUTRALconfidence 20%
Same bundle via M2M API: /api/m2m/kalshi-kxwt20match-26jun140930pakind-ind/bundle · venue execution: kalshi
LIVEPOLL0SRCWARMING1.2m--:--:-- 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
89.0¢
NO · live
9.5¢
YES price · live 24h (Kalshi candlesticks)
no history
no history
YES / NO split · live
YES 90.4%NO 9.6%YES90.4%89.00¢ · odds 1/1.12
Σ 98.50% · moderate
Σ-sides total = 98.50% (1.50pp arb gap)
H(p) entropy = 0.458 / 1.00 bits (46%) · informative — one side favoured
YES
90.4%89.0¢1.12× +0.00pp
NO
9.6%9.5¢10.53× +0.00pp
Σ 98.50% · arb gap 1.50pp
Live numerics · pulse on poll
LIVE NUMERICS9 metrics·POLL 0
snapshot age
1.2m
·ticker
KXWT20MATCH-26JUN140930PAKIND-IND
YES bid
89.00¢
YES ask
92.00¢
ΣΣ sides
98.50%
arb gap
1.500pp
$24h vol $
$505.6k
open interest $
$476.8k
history points
0 bars (live)

§1 · Quote

Ticker
KXWT20MATCH-26JUN140930PAKIND-IND
Event ticker
KXWT20MATCH-26JUN140930PAKIND
YES bid / ask
89.00¢ / 92.00¢ (spread 3.00pp)
NO bid / ask
8.00¢ / 11.00¢
Last YES
89.00¢
Σ-sides
98.50% (arb gap 1.50pp)

§2 · Activity

Volume 24h
$505.61k
Volume total
$551.00k
Open interest
$476.84k
Liquidity
$0.00
Close time
2026-06-16T17:30:00Z · 2.1d from now
Status
active

§3 · Resolution rules

If India wins the India vs Pakistan women's professional Women's T20 World Cup cricket match originally scheduled for Jun 14, 2026 at 9:30 AM EDT, then the market resolves to Yes.

▸ Depth section using sovereign-store price series (332 bars · effective 350364 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 2.1 d · σ/bar 1.022pp · expected |Δp| over horizon 7.19ppterminal variance p(1−p) = 0.0979 · n = 332n = 332
μ per bar
-0.003pp
average Δp · drift
σ per bar
1.022pp
one-bar volatility · logit-free
Per-day movedaily
5.01pp
σ × √24
Per-horizon move2d
7.19pp
σ × √49.4106825
Terminal variancebinary
0.0979
p(1−p) at resolution
Current pricep
89.0¢
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 1.68pp · ES₉₅ 2.11pp · method parametric · drift-correcteddrift -0.003pp/bar · quantised: yes · median step 1.00pp · unique ratio 0.05n = 332
VaR 95%
1.68pp
1.645·σ (parametric) of Δp
ES 95%
2.11pp
mean of the tail
Max drawdown
14.0pp
peak 93.0¢ → trough 80.0¢
Median step
1.00pp
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
89.0%
= price
Decimal oddsEU
1.124
total return per $1
AmericanUS
-809
risk $809 to win $100
FractionalUK
0.12 / 1
profit per $1 risked
Profit per $100stake
+$12.36
clean dollar framing
-1000-5000+500+1000020406080100you · 89.0%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
0.17 bit
self-information
Surprise · NO−log₂(1−p)
3.18 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 16:04:08 UTC
Snapshot age
1.2m
SHA-256 attestation
36273b8ee24e68e3db42b5ebc3675432e951b7c144a7584ad9f7b5c5157442b2 · 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 · 332 barsperiods/year ≈ 350.4K
Realized vol (annualised)
691.18%
σ per bar = 0.011677
Mean return (annualised)
-1182.69%
μ per bar = -0.000034
Sharpe (rf=0)
-1.71
annualised; risk-free assumed zero
Max drawdown
13.98%
peak 0.93 → trough 0.80 over 14 bars

/api/asset/kalshi-kxwt20match-26jun140930pakind-ind/risk · same metrics, JSON