KALSHI · CFTC-CLEARED BINARY CONTRACT · SPORTS

Will Derrick Lewis win the Hokit vs Lewis professional MMA fight scheduled for Jun 14, 2026?

YES · live
24.0¢
NO · live
77.0¢

▸ Advanced metrics · M2M bundle

kalshi · kxufcfight-26jun14hoklew-lew · fresh · feed 1m old
24h sparkline · 60 pts▲ 4.35%
realized vol (ann.)
169.87%
max drawdown
8.70%
sharpe
—
ulcer index
2.20%
RMS drawdown
pain index
1.07%
mean drawdown
mod. VaR 95%
0.35%
Cornish-Fisher
martin ratio
—
ret / ulcer
CDaR 95%
4.45%
cond. drawdown
gain/pain
1.04
Σgain / Σ|loss|
sterling
—
ret / CDaR
omega (θ=0)
1.04
upside/downside
roll spread
154.6 bps
implied (price-only)
bars used
767
store
spread
869.6 bps
24h Δ
4.35%
flow lean
—
carry
flat
signalNEUTRALconfidence 25%
  • 24h change +4.35%
Same bundle via M2M API: /api/m2m/kalshi-kxufcfight-26jun14hoklew-lew/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
24.0¢
NO · live
77.0¢
YES price · live 24h (Kalshi candlesticks)
no history
no history
YES / NO split · live
YES 23.8%NO 76.2%NO76.2%77.00¢ · odds 1/1.30
Σ 101.00% · moderate
Σ-sides total = 101.00% (1.00pp arb gap)
H(p) entropy = 0.791 / 1.00 bits (79%) · moderate uncertainty
YES
23.8%24.0¢4.17×▬ +0.00pp
NO
76.2%77.0¢1.30×▬ +0.00pp
Σ 101.00% · arb gap 1.00pp
Live numerics · pulse on poll
LIVE NUMERICS9 metrics·POLL 0
⏱snapshot age
1.3m
·ticker
KXUFCFIGHT-26JUN14HOKLEW-LEW
▲YES bid
22.00¢
▲YES ask
24.00¢
ΣΣ sides
101.00%
⚖arb gap
1.000pp
$24h vol $
$196.3k
◐open interest $
$1.4M
◳history points
0 bars (live)

§1 · Quote

Ticker
KXUFCFIGHT-26JUN14HOKLEW-LEW
Event ticker
KXUFCFIGHT-26JUN14HOKLEW
YES bid / ask
22.00¢ / 24.00¢ (spread 2.00pp)
NO bid / ask
76.00¢ / 78.00¢
Last YES
24.00¢
Σ-sides
101.00% (arb gap 1.00pp)

§2 · Activity

Volume 24h
$196.27k
Volume total
$370.62k
Open interest
$1.42M
Liquidity
$0.00
Close time
2026-06-29T01:00:00Z · 14.4d from now
Status
active

§3 · Resolution rules

If Derrick Lewis wins the Hokit vs Lewis professional MMA fight originally scheduled for Jun 14, 2026, then the market resolves to Yes.

▸ Depth section using sovereign-store price series (767 bars · effective 350617 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 14.4 d · σ/bar 0.287pp · expected |Δp| over horizon 5.33ppterminal variance p(1−p) = 0.1824 · n = 767✓ n = 767
μ per bar
+0.001pp
average Δp · drift
σ per bar
0.287pp
one-bar volatility · logit-free
Per-day movedaily
1.41pp
σ × √24
Per-horizon move14d
5.33pp
σ × √344.85955972222223
Terminal variancebinary
0.1824
p(1−p) at resolution
Current pricep
24.0¢
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 0.47pp · ES₉₅ 0.59pp · method parametric · drift-correcteddrift +0.001pp/bar · quantised: yes · median step 1.00pp · unique ratio 0.01✓ n = 767
VaR 95%
0.47pp
1.645·σ (parametric) of Δp
ES 95%
0.59pp
mean of the tail
Max drawdown
8.7pp
peak 23.0¢ → trough 21.0¢
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
24.0%
= price
Decimal oddsEU
4.167
total return per $1
AmericanUS
+317
$100 wins $317
FractionalUK
3.17 / 1
profit per $1 risked
Profit per $100stake
+$316.67
clean dollar framing
-1000-5000+500+1000020406080100you · 24.0%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)
0.795 bit
max 1.0 at p = 0.5
Your entropyH(q)
0.795 bit
Δ +0.000 bit vs market
Surprise · YES−log₂ p
2.06 bit
self-information
Surprise · NO−log₂(1−p)
0.40 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
2026-06-14 16:07:07 UTC
Snapshot age
1.3m
SHA-256 attestation
c5345c1456174540fed7d3e6d7a2f658b3ebd984e7c2bcbba1ebc63c5049b481 · 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 · 767 barsperiods/year ≈ 350.6K
Realized vol (annualised)
752.87%
σ per bar = 0.012715
Mean return (annualised)
1948.06%
μ per bar = 0.000056
Sharpe (rf=0)
2.59
annualised; risk-free assumed zero
Max drawdown
8.70%
peak 0.23 → trough 0.21 over 255 bars

/api/asset/kalshi-kxufcfight-26jun14hoklew-lew/risk · same metrics, JSON