POLYMARKET · PREDICTION MARKET · ISRAEL X LEBANON DIPLOMATIC MEETING BY...?
Will Israel and Lebanon hold a diplomatic meeting by June 22, 2026?
21.0¢
79.0¢
▸ Advanced metrics · M2M bundle
polymarket · will-israel-and-lebanon-hold-a-diplomatic-meeting-by-june-22-2026-20260607225940216-619 · fresh · feed 7s old24h sparkline · 60 pts▼ —
realized vol (ann.)
629.69%
max drawdown
26.32%
sharpe
—
ulcer index
14.36%
RMS drawdown
pain index
12.54%
mean drawdown
mod. VaR 95%
0.00%
Cornish-Fisher
martin ratio
—
ret / ulcer
CDaR 95%
23.94%
cond. drawdown
gain/pain
1.57
Σgain / Σ|loss|
sterling
—
ret / CDaR
omega (θ=0)
1.57
upside/downside
roll spread
12.0 bps
implied (price-only)
bars used
970
store
spread
—
24h Δ
—
flow lean
—
carry
flat
signalNEUTRALconfidence 20%
Same bundle via M2M API:
/api/m2m/pm-will-israel-and-lebanon-hold-a-diplomatic-meeting-by-june-22-2026-20260607225940216-619/bundle · venue execution: polymarket →LIVEPOLL0SRCFRESH⏱--:--:-- UTCNEXT8.0sUP0s--:--HIST
▶ STREAMING·HYPERLIQUID·POLYMARKET·0 POLLS·SRC FRESH·UPTIME 0s·NEXT POLL 8.0s·CC0 OPEN DATA·HYPO.MARKETS·▶ STREAMING·HYPERLIQUID·POLYMARKET·0 POLLS·SRC FRESH·UPTIME 0s·NEXT POLL 8.0s·CC0 OPEN DATA·HYPO.MARKETS·
YES · live
21.0¢
NO · live
79.0¢
25 ticks · last 20.50¢
Σ 100.00% · fair
Σ-sides total = 100.00% (tight rounding)
H(p) entropy = 0.741 / 1.00 bits (74%) · moderate uncertainty
YES21.0%21.0¢4.76×▬ +0.00pp
NO79.0%79.0¢1.27×▬ +0.00pp
Σ 100.00% · arb gap 0.00pp
Σ 11450bp moved · peak 2550bp · n=24 ticks
7.1s
21.00¢ (21.00%)
79.00¢ (79.00%)
100.00%
0.000pp
$21.4k
$11.0k
25 ticks (live)
§1 · 24h price history (YES + NO tokens)
25 YES observations from clob.polymarket.com · last 20.50¢
25 NO observations from clob.polymarket.com · last 79.50¢
§2 · Distribution of Δp
n=24
reference line = identity (perfect normality). Heavy upper-right tail = fat positive tail.
§3 · Sample moments
SAMPLE MOMENTS · N=25LEPTOKURTIC · FAT TAILS (G₂=2.10)
FIVE-NUMBER SUMMARY · BOX PLOT
SKEWNESS · G₁1.767right-skewed
−3−10+1+3
EXCESS KURTOSIS · G₂2.102leptokurtic · fat tails
−30+2+4+6
μ = mean YES probability · σ = standard deviation · 95% CI = μ ± 1.96·SE. Skew/kurt diagnose departure from normality.
§5 · Time-series structure
TIME-SERIES STRUCTUREREGIME: INDETERMINATE · weak signal at n=24
HURST EXPONENT [0, 1]
H = 0.866STRONGLY PERSISTENT
0
anti-persistent0.45
mean-reverting0.5
random walk0.55
persistent1
strongly trending
anti-persistent0.45
mean-reverting0.5
random walk0.55
persistent1
strongly trending
AUTOCORRELATION FUNCTION · ρ(k) for k=1..5
OLS TREND · t-STAT · [-5, +5]
−5 reject−1.960 retain H₀+1.96+5 reject
ρ(k) = lag-k sample autocorrelation · H = R/S Hurst exponent · t = OLS-trend t-statistic. Significance bands at ±2/√n approximate the 95% white-noise envelope. α=0.05 critical |t|=1.96; α=0.01 |t|=2.58.
§6 · Microstructure
MICROSTRUCTURE · MARKET QUALITYPERFECT · ARB-FREE Σ=100.00%
TWO-SIDED PRICING
21.00¢
79.00¢
Σ-SIDES ARBITRAGE TEST
Σ = 100.00% · |1 − Σ| = 0.000pp
24H ACTIVITY · LIQUIDITY
Σ-sides = YES + NO implied probabilities. Perfect arb-free Σ = 100%. |1−Σ| > 2pp suggests synthetic outright arbitrage.
§7 · Position sizing & edge analysis
FAIR MARKET · no edge
Probability scale (YES)
Implied decimal odds
YES4.76×(21¢)NO1.27×(79¢)
Kelly bet-size (% of bankroll) K* = 0.00%
Entropy H(p̂) = 0.741 bits (74% of max) · moderate uncertainty
Σ-sides = 100.00% · |1 − Σ| = 0.00pp · tight cross-venue rounding
K* full = (b·p − q)/b · ½K and ¼K are conservative fractions of the full-Kelly bet. Entropy in bits — log₂(2)=1 is maximum uncertainty for a binary market.
§8 · Time decay & θ projection
⏱ URGENCY · LOWresolves 2026-06-22 17:00 UTC
4days
04hrs
41min
YES →$1.00
NO →$0.00
current: $0.2100 · expected return per side: $0.79 on YES hit · $0.21 on NO hit
Theta progression · θ ∝ σ / √t_remainingθ_now = 88.221 pp/day
now4.20d left88.221 pp/day×1.00
−25%3.15d left101.869 pp/day×1.15
−50%2.10d left124.763 pp/day×1.41
−75%1.05d left176.442 pp/day×2.00
−90%10.07h left278.980 pp/day×3.16
θ approximation: σ/√T (expected daily move magnitude). The cone shows ±√(p̂(1−p̂)) widening as time decays, funneling to {0, 1} at resolution. Theta accelerates as √(t_left)→0.
§9 · Hourly return heatmap
9 up bars · 12 down · best 11.50% · worst -25.50% · typical |Δ| 4.771%
§10 · Equity curve & underwater drawdown
final equity 0.5545 (-44.55%) · max DD -51.94% · time-under-water 23/25 bars
§11 · Rolling-window statistics (w = 6 bars)
latest 27.747 · range [-67.13, 38.21] · μ -19.018 · positive Sharpe = excess-return-per-risk earned by buying-and-holding through this window
latest 473.56% · range [70.46%, 1290.37%] · μ 485.47% · σ̂ scaled to annualised (×√8760)
latest -0.141 · |ρ| > 0.3 ⇒ regime with persistence (ρ > 0) or reversal (ρ < 0) · |ρ| ≤ 0.1 = consistent with random walk
§12 · Hypothesis tests (α = 0.05)
3 of 6 REJECT · mixed evidence3 reject·3 pass·α = 0.05
Jarque-Bera
REJECT H₀***H₀: Δp ~ Normal(μ, σ²)
STATISTIC
23.3841
p-VALUE (log scale)
< 0.0001
Ljung-Box(h=5)
FAIL TO REJECTnsH₀: No serial autocorrelation up to lag 5
STATISTIC
5.8562
p-VALUE (log scale)
0.3201
Dickey-Fuller (τ_μ)
REJECT H₀*H₀: p has a unit root (non-stationary)
STATISTIC
-3.2451
p-VALUE (log scale)
0.0189
Wald-Wolfowitz runs
FAIL TO REJECTnsH₀: Sign sequence of Δ is random
STATISTIC
1.2421
p-VALUE (log scale)
0.2142
KPSS (μ stationarity)
REJECT H₀*H₀: p IS level-stationary
STATISTIC
0.5435
p-VALUE (log scale)
0.0319
Variance ratio q=3
FAIL TO REJECTnsH₀: Δp is a random walk · VR = 1
STATISTIC
-0.1095
p-VALUE (log scale)
0.9128
Each row states an explicit null H₀, the test statistic, an approximated p-value, and the decision. REJECT means evidence against H₀. KPSS complements ADF (rejecting both ⇒ ambiguous; rejecting one ⇒ clean verdict).
§13 · Spectral analysis (DFT periodogram)
dominant period ≈ 2.18h (freq 0.458) · concentrates 15.3% of total energy · Σ|X̂|²/n = 8.370e-2
▸ Depth section using sovereign-store price series (970 bars · effective 1752421 bars/year) — annualisation reflects native polling cadence, not upstream timeframes.
§14 · 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 →
§15 · Horizon returns
Horizon 4.2 d · σ/bar 0.476pp · expected |Δp| over horizon 4.77ppterminal variance p(1−p) = 0.1659 · n = 970✓ n = 970
μ per bar
+0.009pp
average Δp · drift
σ per bar
0.476pp
one-bar volatility · logit-free
Per-day movedaily
2.33pp
σ × √24
Per-horizon move4d
4.77pp
σ × √100.68630027777778
Terminal variancebinary
0.1659
p(1−p) at resolution
Current pricep
21.0¢
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.
§16 · Tail risk
VaR₉₅ 0.77pp · ES₉₅ 0.97pp · method parametric · drift-correcteddrift +0.009pp/bar · quantised: yes · median step 1.00pp · unique ratio 0.01✓ n = 970
VaR 95%
0.77pp
1.645·σ (parametric) of Δp
ES 95%
0.97pp
mean of the tail
Max drawdown
26.3pp
peak 28.5¢ → 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.
§17 · Odds conversion
Implied probabilityP
21.0%
= price
Decimal oddsEU
4.762
total return per $1
AmericanUS
+376
$100 wins $376
FractionalUK
3.76 / 1
profit per $1 risked
Profit per $100stake
+$376.19
clean dollar framing
underdog (+)favorite (-)your price
Price → implied probability → decimal odds → American moneyline → fractional. Five views of the same number, plus the moneyline curve.
§18 · Binary entropy
Market entropyH(p)
0.741 bit
max 1.0 at p = 0.5
Your entropyH(q)
0.741 bit
Δ +0.000 bit vs market
Surprise · YES−log₂ p
2.25 bit
self-information
Surprise · NO−log₂(1−p)
0.34 bit
self-information
Market entropy only — model entropy requires an external q.
§19 · Model-dependent surfaces
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 (snapshot)
- gamma-api.polymarket.com
- Upstream (history)
- clob.polymarket.com
- YES token ID
106202184825209418422622186181918005187313940917147816450488203839564306168227- NO token ID
72400907374173528465025441214849227016301699622254893837937150322209532171888- Snapshot fetched
- 2026-06-18 12:18:42 UTC
- Snapshot age
- 7.1s
- History points
- 25 CLOB mids
- Page rendered
- 2026-06-18 12:18:49 UTC
- Storage policy
- no persistence — fetched on every request
- SHA-256 attestation
bbb9d940fe63f861985edd03ac49fd2f28cb54210829227935222e9c299e5be4· deterministic hash of source snapshot- Open data licence
- CC0 / public domain
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Also see: /arb opportunities · RSS feed · more in Israel x Lebanon diplomatic meeting by...?
Market depth
▸ live order book · Polymarket YESDepth within 1bp
$0
bid $0 · ask $0
Depth within 5bp
$0
bid $0 · ask $0
Depth within 10bp
$0
bid $0 · ask $0
Depth within 50bp
$0
bid $0 · ask $0
Mid price
0.195000
(best bid + best ask) / 2
Spread
4615.4bp
(bestAsk − bestBid) / mid
Imbalance (whole book)
-0.611
ask-heavy
Imbalance (top-5)
+0.517
bid-heavy top-of-book
Slippage scenarios
▸ live book walk · Polymarket YESSimulating a market order at three notionals against the live book. Slippage = avg execution price vs. mid, in basis points. Worst fill = price of the deepest level touched. Live JSON: /api/asset/pm-will-israel-and-lebanon-hold-a-diplomatic-meeting-by-june-22-2026-20260607225940216-619/slippage?size=10000&side=buy
| Side | Notional | Avg fill | Slippage | Worst fill | Levels | Status |
|---|---|---|---|---|---|---|
| BUY | $1.00K | 0.357575 | 8337.18bp | 0.380000 | 11 | FILLED |
| BUY | $10.00K | 0.598252 | 20679.57bp | 0.780000 | 28 | FILLED |
| BUY | $100.00K | 0.795332 | 30786.24bp | 0.990000 | 40 | PARTIAL |
| SELL | $1.00K | 0.021939 | 8874.91bp | 0.010000 | 14 | PARTIAL |
| SELL | $10.00K | 0.021939 | 8874.91bp | 0.010000 | 14 | PARTIAL |
| SELL | $100.00K | 0.021939 | 8874.91bp | 0.010000 | 14 | PARTIAL |
Risk metrics
▸ sovereign store · 970 barsperiods/year ≈ 1.75MRealized vol (annualised)
3267.79%
σ per bar = 0.024685
Mean return (annualised)
93823.04%
μ per bar = 0.000535
Sharpe (rf=0)
28.71
annualised; risk-free assumed zero
Max drawdown
26.32%
peak 0.28 → trough 0.21 over 16 bars
/api/asset/pm-will-israel-and-lebanon-hold-a-diplomatic-meeting-by-june-22-2026-20260607225940216-619/risk · same metrics, JSON