KALSHI · CFTC-CLEARED BINARY CONTRACT · SPORTS

New York Y vs Toronto Winner?

YES · live
55.0¢
NO · live
45.5¢

▸ Advanced metrics · M2M bundle

kalshi · kxmlbgame-26jun141337nyytor-nyy · fresh · feed 60s old
24h sparkline · 60 pts
realized vol (ann.)
126.99%
max drawdown
3.64%
sharpe
ulcer index
0.27%
RMS drawdown
pain index
0.03%
mean drawdown
mod. VaR 95%
0.10%
Cornish-Fisher
martin ratio
ret / ulcer
CDaR 95%
0.03%
cond. drawdown
gain/pain
1.20
Σgain / Σ|loss|
sterling
ret / CDaR
omega (θ=0)
1.20
upside/downside
roll spread
54.0 bps
implied (price-only)
bars used
328
store
spread
183.5 bps
24h Δ
flow lean
carry
flat
signalNEUTRALconfidence 20%
Same bundle via M2M API: /api/m2m/kalshi-kxmlbgame-26jun141337nyytor-nyy/bundle · venue execution: kalshi
LIVEPOLL0SRCWARMING59.8s--:--:-- 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
55.0¢
NO · live
45.5¢
YES price · live 24h (Kalshi candlesticks)
no history
no history
YES / NO split · live
YES 54.7%NO 45.3%YES54.7%55.00¢ · odds 1/1.82
Σ 100.50% · moderate
Σ-sides total = 100.50% (0.50pp arb gap)
H(p) entropy = 0.994 / 1.00 bits (99%) · max uncertainty (~50/50)
YES
54.7%55.0¢1.82× +0.00pp
NO
45.3%45.5¢2.20× +0.00pp
Σ 100.50% · arb gap 0.50pp
Live numerics · pulse on poll
LIVE NUMERICS9 metrics·POLL 0
snapshot age
59.8s
·ticker
KXMLBGAME-26JUN141337NYYTOR-NYY
YES bid
54.00¢
YES ask
55.00¢
ΣΣ sides
100.50%
arb gap
0.500pp
$24h vol $
$123.3k
open interest $
$224.7k
history points
0 bars (live)

§1 · Quote

Ticker
KXMLBGAME-26JUN141337NYYTOR-NYY
Event ticker
KXMLBGAME-26JUN141337NYYTOR
YES bid / ask
54.00¢ / 55.00¢ (spread 1.00pp)
NO bid / ask
45.00¢ / 46.00¢
Last YES
55.00¢
Σ-sides
100.50% (arb gap 0.50pp)

§2 · Activity

Volume 24h
$123.29k
Volume total
$124.33k
Open interest
$224.75k
Liquidity
$0.00
Close time
2026-06-17T17:37:00Z · 3.2d from now
Status
active

§3 · Resolution rules

If New York Y wins the New York Y vs Toronto professional baseball game originally scheduled for Jun 14, 2026 at 1:37 PM EDT, then the market resolves to Yes.

▸ Depth section using sovereign-store price series (328 bars · effective 350784 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 3.2 d · σ/bar 0.214pp · expected |Δp| over horizon 1.87ppterminal variance p(1−p) = 0.2475 · n = 328n = 328
μ per bar
+0.003pp
average Δp · drift
σ per bar
0.214pp
one-bar volatility · logit-free
Per-day movedaily
1.05pp
σ × √24
Per-horizon move3d
1.87pp
σ × √75.85254666666665
Terminal variancebinary
0.2475
p(1−p) at resolution
Current pricep
55.0¢
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 0.35pp · ES₉₅ 0.44pp · method parametric · drift-correcteddrift +0.003pp/bar · quantised: yes · median step 1.00pp · unique ratio 0.01n = 328
VaR 95%
0.35pp
1.645·σ (parametric) of Δp
ES 95%
0.44pp
mean of the tail
Max drawdown
3.6pp
peak 55.0¢ → trough 53.0¢
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
55.0%
= price
Decimal oddsEU
1.818
total return per $1
AmericanUS
-122
risk $122 to win $100
FractionalUK
0.82 / 1
profit per $1 risked
Profit per $100stake
+$81.82
clean dollar framing
-1000-5000+500+1000020406080100you · 55.0%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)
0.993 bit
max 1.0 at p = 0.5
Your entropyH(q)
0.993 bit
Δ +0.000 bit vs market
Surprise · YES−log₂ p
0.86 bit
self-information
Surprise · NO−log₂(1−p)
1.15 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 13:44:51 UTC
Snapshot age
59.8s
SHA-256 attestation
cf8c7b4b139c29062cd358031ba23ad6ada0b476f54eaadf5918a4245f69ccd0 · 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 · 328 barsperiods/year ≈ 350.8K
Realized vol (annualised)
234.84%
σ per bar = 0.003965
Mean return (annualised)
1968.38%
μ per bar = 0.000056
Sharpe (rf=0)
8.38
annualised; risk-free assumed zero
Max drawdown
3.64%
peak 0.55 → trough 0.53 over 13 bars

/api/asset/kalshi-kxmlbgame-26jun141337nyytor-nyy/risk · same metrics, JSON