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

KALSHI · CFTC-CLEARED BINARY CONTRACT · SPORTS

Will Los Angeles R win the 2027 Pro Football Championship?

YES · live
17.0¢
NO · live
84.0¢

▸ Advanced metrics · M2M bundle

kalshi · kxsb-27-lar · fresh · feed 16s old
24h sparkline · 60 pts 0.00%
realized vol (ann.)
149.68%
max drawdown
11.76%
sharpe
ulcer index
3.80%
RMS drawdown
pain index
2.34%
mean drawdown
mod. VaR 95%
0.27%
Cornish-Fisher
martin ratio
ret / ulcer
CDaR 95%
6.04%
cond. drawdown
gain/pain
1.00
Σgain / Σ|loss|
sterling
ret / CDaR
omega (θ=0)
1.00
upside/downside
roll spread
129.3 bps
implied (price-only)
bars used
784
store
spread
1250.0 bps
24h Δ
0.00%
flow lean
carry
flat
signalNEUTRALconfidence 20%
Same bundle via M2M API: /api/m2m/kalshi-kxsb-27-lar/bundle · venue execution: kalshi
LIVEPOLL0SRCWARMING16.4s--:--:-- 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
17.0¢
NO · live
84.0¢
YES price · live 24h (Kalshi candlesticks)
no history
no history
YES / NO split · live
YES 16.8%NO 83.2%NO83.2%84.00¢ · odds 1/1.19
Σ 101.00% · moderate
Σ-sides total = 101.00% (1.00pp arb gap)
H(p) entropy = 0.654 / 1.00 bits (65%) · moderate uncertainty
YES
16.8%17.0¢5.88× +0.00pp
NO
83.2%84.0¢1.19× +0.00pp
Σ 101.00% · arb gap 1.00pp
Live numerics · pulse on poll
LIVE NUMERICS9 metrics·POLL 0
snapshot age
16.4s
·ticker
KXSB-27-LAR
YES bid
15.00¢
YES ask
17.00¢
ΣΣ sides
101.00%
arb gap
1.000pp
$24h vol $
$9.0k
open interest $
$2.6M
history points
0 bars (live)

§1 · Quote

Ticker
KXSB-27-LAR
Event ticker
KXSB-27
YES bid / ask
15.00¢ / 17.00¢ (spread 2.00pp)
NO bid / ask
83.00¢ / 85.00¢
Last YES
17.00¢
Σ-sides
101.00% (arb gap 1.00pp)

§2 · Activity

Volume 24h
$9.04k
Volume total
$568.38k
Open interest
$2.63M
Liquidity
$0.00
Close time
2029-02-13T23:30:00Z · 975.3d from now
Status
active

§3 · Resolution rules

If Los Angeles R wins the 2027 Pro Football Championship, then the market resolves to Yes.

▸ Depth section using sovereign-store price series (784 bars · effective 350659 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 975.3 d · σ/bar 0.253pp · expected |Δp| over horizon 38.69ppterminal variance p(1−p) = 0.1411 · n = 784n = 784
μ per bar
+0.000pp
average Δp · drift
σ per bar
0.253pp
one-bar volatility · logit-free
Per-day movedaily
1.24pp
σ × √24
Per-horizon move975d
38.69pp
σ × √23406.953653333334
Terminal variancebinary
0.1411
p(1−p) at resolution
Current pricep
17.0¢
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 0.42pp · ES₉₅ 0.52pp · method parametric · drift-correcteddrift +0.000pp/bar · quantised: yes · median step 1.00pp · unique ratio 0.00n = 784
VaR 95%
0.42pp
1.645·σ (parametric) of Δp
ES 95%
0.52pp
mean of the tail
Max drawdown
11.8pp
peak 17.0¢ → trough 15.0¢
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
17.0%
= price
Decimal oddsEU
5.882
total return per $1
AmericanUS
+488
$100 wins $488
FractionalUK
4.88 / 1
profit per $1 risked
Profit per $100stake
+$488.24
clean dollar framing
-1000-5000+500+1000020406080100you · 17.0%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)
0.658 bit
max 1.0 at p = 0.5
Your entropyH(q)
0.658 bit
Δ +0.000 bit vs market
Surprise · YES−log₂ p
2.56 bit
self-information
Surprise · NO−log₂(1−p)
0.27 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 16:32:30 UTC
Snapshot age
16.4s
SHA-256 attestation
d83248911e256c73983fd6d9f83f41f5744d5f19a43d6f65907eddbc69e79c64 · 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 · 784 barsperiods/year ≈ 350.7K
Realized vol (annualised)
917.24%
σ per bar = 0.015490
Mean return (annualised)
-0.00%
μ per bar = -0.000000
Sharpe (rf=0)
-0.00
annualised; risk-free assumed zero
Max drawdown
11.76%
peak 0.17 → trough 0.15 over 332 bars

/api/asset/kalshi-kxsb-27-lar/risk · same metrics, JSON