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

KALSHI · CFTC-CLEARED BINARY CONTRACT · SPORTS

Will Chicago WS win the 2026 Pro Baseball Championship?

YES · live
1.0¢
NO · live
98.8¢

▸ Advanced metrics · M2M bundle

kalshi · kxmlb-26-cws · fresh · feed 1m old
24h sparkline · 34 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
34
store
spread
2608.7 bps
24h Δ
flow lean
carry
flat
signalNEUTRALconfidence 20%
Same bundle via M2M API: /api/m2m/kalshi-kxmlb-26-cws/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
1.0¢
NO · live
98.8¢
YES price · live 24h (Kalshi candlesticks)
no history
no history
YES / NO split · live
YES 1.0%NO 99.0%NO99.0%98.85¢ · odds 1/1.01
Σ 99.85% · fair
Σ-sides total = 99.85% (tight rounding)
H(p) entropy = 0.081 / 1.00 bits (8%) · informative — one side favoured
YES
1.0%1.0¢100.00× +0.00pp
NO
99.0%98.8¢1.01× +0.00pp
Σ 99.85% · arb gap 0.15pp
Live numerics · pulse on poll
LIVE NUMERICS9 metrics·POLL 0
snapshot age
1.3m
·ticker
KXMLB-26-CWS
YES bid
1.00¢
YES ask
1.30¢
ΣΣ sides
99.85%
arb gap
0.150pp
$24h vol $
$40.2
open interest $
$834.8k
history points
0 bars (live)

§1 · Quote

Ticker
KXMLB-26-CWS
Event ticker
KXMLB-26
YES bid / ask
1.00¢ / 1.30¢ (spread 0.30pp)
NO bid / ask
98.70¢ / 99.00¢
Last YES
1.00¢
Σ-sides
99.85% (arb gap 0.15pp)

§2 · Activity

Volume 24h
$40.18
Volume total
$10.04k
Open interest
$834.80k
Liquidity
$0.00
Close time
2028-10-31T04:00:00Z · 863.8d from now
Status
active

§3 · Resolution rules

If Chicago WS wins the 2026 Pro Baseball Championship, then the market resolves to Yes.

▸ Depth section using sovereign-store price series (417 bars · effective 344005 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 863.8 d · σ/bar 0.138pp · expected |Δp| over horizon 19.85ppterminal variance p(1−p) = 0.0099 · n = 417n = 417
μ per bar
-0.002pp
average Δp · drift
σ per bar
0.138pp
one-bar volatility · logit-free
Per-day movedaily
0.68pp
σ × √24
Per-horizon move864d
19.85pp
σ × √20732.24168888889
Terminal variancebinary
0.0099
p(1−p) at resolution
Current pricep
1.0¢
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 0.23pp · ES₉₅ 0.29pp · method parametric · drift-correcteddrift -0.002pp/bar · quantised: yes · median step 0.10pp · unique ratio 0.03n = 417
VaR 95%
0.23pp
1.645·σ (parametric) of Δp
ES 95%
0.29pp
mean of the tail
Max drawdown
52.4pp
peak 2.1¢ → trough 1.0¢
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
1.0%
= price
Decimal oddsEU
100.000
total return per $1
AmericanUS
+9900
$100 wins $9900
FractionalUK
99.00 / 1
profit per $1 risked
Profit per $100stake
+$9900.00
clean dollar framing
-1000-5000+500+1000020406080100you · 1.0%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)
0.081 bit
max 1.0 at p = 0.5
Your entropyH(q)
0.081 bit
Δ +0.000 bit vs market
Surprise · YES−log₂ p
6.64 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

Snapshot fetched
2026-06-20 07:44:11 UTC
Snapshot age
1.3m
SHA-256 attestation
0cb43f983469ff3ea48bf7682457729fba11938ecd6a0209fce34e1312879901 · 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 · 417 barsperiods/year ≈ 344.0K
Realized vol (annualised)
5706.26%
σ per bar = 0.097290
Mean return (annualised)
-43879.45%
μ per bar = -0.001276
Sharpe (rf=0)
-7.69
annualised; risk-free assumed zero
Max drawdown
52.38%
peak 0.02 → trough 0.01 over 258 bars

/api/asset/kalshi-kxmlb-26-cws/risk · same metrics, JSON