POLYMARKET · PREDICTION MARKET · NETHERLANDS VS. JAPAN - MORE MARKETS

Netherlands vs. Japan: O/U 0.5

YES · live
92.5¢
NO · live
7.5¢

▸ Advanced metrics · M2M bundle

polymarket · fifwc-nld-jpn-2026-06-14-total-0pt5 · fresh · feed 0s old
24h sparkline · 60 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
131
store
spread
24h Δ
flow lean
carry
flat
signalNEUTRALconfidence 20%
Same bundle via M2M API: /api/m2m/pm-fifwc-nld-jpn-2026-06-14-total-0pt5/bundle · venue execution: polymarket
LIVEPOLL0SRCFRESH2ms--:--:-- UTC8NEXT8.0sUP0s--:--HIST0/30
▶ 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
92.5¢
NO · live
7.5¢
YES price · live 24h
n=25 · μ=0.9232 · σ=0.0105 · range [0.8750, 0.9350] · R²=0.166 FALLING -6.42%σ NORMAL 1.14%LAST 0.87500.93500.92000.90500.89000.8750μ = 0.9232max 0.9350min 0.8750dataMA(5)OLS R²=0.17μ lineμ ± σ bandmaxminlive endpoint
25 ticks · last 87.50¢
YES / NO split · live
YES 92.5%NO 7.5%YES92.5%92.50¢ · odds 1/1.08
Σ 100.00% · fair
Σ-sides total = 100.00% (tight rounding)
H(p) entropy = 0.384 / 1.00 bits (38%) · informative — one side favoured
YES
92.5%92.5¢1.08× +0.00pp
NO
7.5%7.5¢13.33× +0.00pp
Σ 100.00% · arb gap 0.00pp
Per-tick activity · |Δp| in basis points · live
n=24 · Σ=900 · μ=37.5 · σ=114.4 · CV=3.05BURSTY · concentratedcumulative energy ↗ · 50% by h=240138275413550μ = 3855050%h1h5h9h13h17h21#1 peak#2-3> μactivequietμ linecum energy
Σ 900bp moved · peak 550bp · n=24 ticks
Live numerics · pulse on poll
LIVE NUMERICS8 metrics·POLL 0
snapshot age
2ms
YES mid
92.50¢ (92.50%)
NO mid
7.50¢ (7.50%)
ΣΣ sides
100.00%
arb gap
0.000pp
$24h vol $
$204.0k
liquidity $
$129.5k
history points
25 ticks (live)

§1 · 24h price history (YES + NO tokens)

YES price · CLOB mid
n=25 · μ=0.9232 · σ=0.0105 · range [0.8750, 0.9350] · R²=0.166 FALLING -6.42%σ NORMAL 1.14%LAST 0.87500.93500.92000.90500.89000.8750μ = 0.9232max 0.9350min 0.8750dataMA(5)OLS R²=0.17μ lineμ ± σ bandmaxmin
25 YES observations from clob.polymarket.com · last 87.50¢
NO price · CLOB mid
n=25 · μ=0.0768 · σ=0.0105 · range [0.0650, 0.1250] · R²=0.166 RISING +92.31%σ HIGH 13.67%LAST 0.12500.12500.11000.09500.08000.0650μ = 0.0768max 0.1250min 0.0650dataMA(5)OLS R²=0.17μ lineμ ± σ bandmaxmin
25 NO observations from clob.polymarket.com · last 12.50¢

§2 · Distribution of Δp

Histogram of hourly increments
n=24 · 10 bins · μ=-0.0025 · σ=0.0111 · skew=-3.67 (left-skewed) · kurt=13.38 (leptokurtic (fat tails))191410501-5.18ppbin -5.18pp · n=1 · 5.3% peakbin -5.18pp · n=1 · 5.3% peak-4.53pp-3.88pp-3.23pp-2.58pp-1.93pp2-1.28ppbin -1.28pp · n=2 · 10.5% peakbin -1.28pp · n=2 · 10.5% peak-0.63pp190.03ppbin 0.03pp · n=19 · 100.0% peakbin 0.03pp · n=19 · 100.0% peak20.68ppbin 0.68pp · n=2 · 10.5% peakbin 0.68pp · n=2 · 10.5% peakμΔ < 0 · loss barsΔ ≈ 0 · flatΔ > 0 · gain barsN(μ,σ²) referenceμ line · ±σ band shaded
n=24
Q-Q plot · standardised Δp vs N(0,1)
n=24 · skew=-3.87 · kurt=14.89 · near 6 / mid 14 / far 4 · OLS slope=0.64 intercept=-0.00LEPTOKURTIC — FAT TAILSTHIN UPPER TAILLOWER TAIL NORMAL-3σ-3σ-2σ-2σ-1σ-1σ+0σ+0σ+1σ+1σ+2σ+2σ+3σ+3σΔ=-2.51σsample ↓marginal: sample bars + theoretical N(0,1) curve →theoretical Φ⁻¹(p) →↑ sample z-quantile|Δ| < 0.3σ · on the line|Δ| < 1σ · moderate|Δ| ≥ 1σ · outliery = x refOLS fit
reference line = identity (perfect normality). Heavy upper-right tail = fat positive tail.

§3 · Sample moments

Descriptive statistics · 5-number summary · shape diagnostics
SAMPLE MOMENTS · N=25LEPTOKURTIC · FAT TAILS (G₂=14.88)
μ MEAN92.32¢95% CI: [91.91¢, 92.73¢]
σ STD DEV1.05ppσ² = 1.102 · CV = 1.14%
med MEDIAN92.50¢Q₁ 92.50¢ · Q₃ 92.50¢
FIVE-NUMBER SUMMARY · BOX PLOT
min 87.50¢Q₁ 92.50¢med 92.50¢Q₃ 92.50¢max 93.50¢μ
SKEWNESS · G₁-3.821left-skewed
−3−10+1+3
EXCESS KURTOSIS · G₂14.875leptokurtic · fat tails
−30+2+4+6
μ ↔ medianμ < med · left-tailed|μ−med| / σ = 0.17
σ × 1.349 ↔ IQRdiverges from normalratio = 0.00
range ↔ σwide tails (range > 4σ)range / σ = 5.72
μ = mean YES probability · σ = standard deviation · 95% CI = μ ± 1.96·SE. Skew/kurt diagnose departure from normality.

§5 · Time-series structure

Regime & autocorrelation diagnostics
TIME-SERIES STRUCTUREREGIME: MEAN-REVERTING · ADF rejects unit root
ρ(1) AUTOCORR-0.100within white-noise band
ρ(2) AUTOCORR-0.191lag-2 not significant
H · HURST EXPONENT1.151strongly persistent
OLS TREND · t-STAT-2.138significant @ α=0.05
HURST EXPONENT [0, 1]
H = 1.151STRONGLY PERSISTENT
0
anti-persistent
0.45
mean-reverting
0.5
random walk
0.55
persistent
1
strongly trending
AUTOCORRELATION FUNCTION · ρ(k) for k=1..5
k=1-0.100k=2-0.191k=3+0.158k=4-0.008k=5-0.0100+1−1+0.410.41+ momentum (ρ > +0.41)− reversal (ρ < −0.41)noise (within band)±2/√n threshold
OLS TREND · t-STAT · [-5, +5]
−5 reject−1.960 retain H₀+1.96+5 reject
REGIME CLASSIFICATIONMEAN-REVERTING · ADF rejects unit rootfrom Hurst + ρ(1) joint diagnosis
PREDICTABILITY · score 1.00very high · strong structure|ρ(1)| + 2·|H − 0.5| heuristic
TREND SIGNIFICANCESIGNIFICANT @ 5% (|t|=2.14)α=0.05 critical |t|=1.96 · α=0.01 |t|=2.58
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

Market quality · two-sided pricing · activity
MICROSTRUCTURE · MARKET QUALITYPERFECT · ARB-FREE Σ=100.00%
MARKET ID2326745
SLUGfifwc-nld-jpn-2026-06-14-total-0pt5
CATEGORYNetherlands vs. Japan - More Markets
TWO-SIDED PRICING
PRIMARY · YES92.50¢implied prob 92.50% · decimal odds 1.08×
COUNTER · NO7.50¢implied prob 7.50% · decimal odds 13.33×
92.50¢
7.50¢
Σ-SIDES ARBITRAGE TEST
0%50%100% · target110%
Σ = 100.00% · |1 − Σ| = 0.000pp
24H ACTIVITY · LIQUIDITY
24H VOLUME204.00k USD 24h
LIQUIDITY129.50k USD
MARKET QUALITYPERFECT · ARB-FREE Σ=100.00%|1−Σ| ≤ 0.5pp ⇒ fair · > 2pp ⇒ inefficient
PRICING SKEWFAVOURS YES (93¢)|primary − counter| = 0.850 · entropy 0.384 bits
LIQUIDITY DEPTHDEEP100k+ deep · 10k+ active · 1k+ modest · 100+ thin
Σ-sides = YES + NO implied probabilities. Perfect arb-free Σ = 100%. |1−Σ| > 2pp suggests synthetic outright arbitrage.

§7 · Position sizing & edge analysis

Probability split · YES vs NO · Kelly · entropy · arbitrage
FAIR MARKET · no edge
YES 92.5%NO 7.5%YES92.5%H = 0.384 / 1.00 bits
Probability scale (YES)
0%25%50%
fair
75%100%
Implied decimal odds
YES1.08×(93¢)NO13.33×(8¢)
Kelly bet-size (% of bankroll) K* = 0.00%
K* full
0.00%
½K half
0.00%
¼K quarter
0.00%
Entropy H(p̂) = 0.384 bits (38% of max) · informative — one side strongly favoured
0 (certain)0.250.50.751.00 (max)
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.

§9 · Hourly return heatmap

24-hour signed Δp grid · green = up · red = down
HOURLY RETURN HEATMAP · n=24 bars · best 1.00% · worst -5.50% · typical |Δ| 0.38%BEARISH SESSION -6.00%BEST+1.00%22hWORST-5.50%24hTYPICAL |Δ|0.38%mean absoluteCUMULATIVE-6.00%Σ signed ΔSTREAK↘ 1down-runASIA · 00-08 UTCμ -0.14% · Σ -1.00%EUROPE · 08-16 UTCμ +0.00% · Σ +0.00%US · 16-24 UTCμ +0.06% · Σ +0.50%CUMULATIVE Δ PATH · final -6.00%+0.00%-6.00%-1.00% · 1h-1.00% · 1h-1.00%1h0.00% · 2h0.00% · 2h·2h0.00% · 3h0.00% · 3h·3h0.00% · 4h0.00% · 4h·4h0.00% · 5h0.00% · 5h·5h0.00% · 6h0.00% · 6h·6h0.00% · 7h0.00% · 7h·7h0.00% · 8h0.00% · 8h·8h0.00% · 9h0.00% · 9h·9h0.00% · 10h0.00% · 10h·10h0.00% · 11h0.00% · 11h·11h0.00% · 12h0.00% · 12h·12h0.00% · 13h0.00% · 13h·13h0.00% · 14h0.00% · 14h·14h0.00% · 15h0.00% · 15h·15h0.00% · 16h0.00% · 16h·16h0.00% · 17h0.00% · 17h·17h0.00% · 18h0.00% · 18h·18h0.00% · 19h0.00% · 19h·19h0.00% · 20h0.00% · 20h·20h-1.00% · 21h-1.00% · 21h-1.00%21h1.00% · 22h1.00% · 22h1.00%22h★ BEST0.50% · 23h0.50% · 23h0.50%23h-5.50% · 24h-5.50% · 24h-5.50%24h▼ WORSTTIME PATTERNUS-led (+0.50%)RUNSup max 2 · down max 1BREADTH8% up · 13% down · 79% flat
2 up bars · 3 down · best 1.00% · worst -5.50% · typical |Δ| 0.375%

§10 · Equity curve & underwater drawdown

Cumulative compounded return + running peak-to-trough
EQUITY & DRAWDOWN ANALYSIS · n=25 barsSEVERE DRAWDOWN -5.99%FINAL-5.99%MAX DD-5.99%RECOVERYONGOING · 24 barsMAX RUN-UP+0.00%UNDERWATER24/25 (96%)STREAK↘ 1EQUITY CURVE · end 0.9401 · peak 1.0000 · range [0.9401, 1.0000]1.00000.9401break-even = 1★ PEAK 1.0000UNDERWATER DRAWDOWN · max -5.99% · significant0%-5.99%▼ TROUGH -5.99%TOP DRAWDOWN PERIODS · 1 total#1 -5.99%bar 2-25 · 24 bars · ONGOINGDD SEVERITYsignificant (max -5.99%)RECOVERYongoing · 24 barsTIME UNDER WATER96% of session · 24/25 bars
final equity 0.9401 (-5.99%) · max DD -5.99% · time-under-water 24/25 bars

§11 · Rolling-window statistics (w = 6 bars)

Rolling annualised Sharpe ratio · green positive · red negative
n=19 · +1 / −3 (5% positive) · μ=-5.13 · σ=14.20UNPROFITABLE STRATEGYLAST -32.76 (-1.95σ vs μ)38.2119.100.00-19.10-38.21μ = -5.13-38.21-38.210.000.000.000.000.000.000.000.000.000.000.000.000.000.000.000.000.000.000.000.000.000.000.000.000.000.000.000.00-38.21-38.210.000.0011.7411.74-32.76-32.76v > 0 · positivev < 0 · negativeμ mean lineμ ± σ bandlatest bar (outlined)
latest -32.765 · range [-38.21, 11.74] · μ -5.129 · positive Sharpe = excess-return-per-risk earned by buying-and-holding through this window
Rolling annualised volatility (%)
n=19 · μ=22.1377 · σ=53.0312 · range [0.0000, 222.8004] · R²=0.272 RISING +483.10%σ EXTREME 239.55%LAST 222.8004222.8004167.1003111.400255.70010.0000μ = 22.1377max 222.8004min 0.0000dataMA(3)OLS R²=0.27μ lineμ ± σ bandmaxmin
latest 222.80% · range [0.00%, 222.80%] · μ 22.14% · σ̂ scaled to annualised (×√8760)
Rolling lag-1 autocorrelation ρ(1)
n=19 · +0 / −5 (0% positive) · μ=-0.048 · σ=0.124MEAN-REVERSIONLAST -0.125 (-0.61σ vs μ)0.5000.2500.000-0.250-0.500μ = -0.048-0.033-0.0330.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.000-0.033-0.033-0.500-0.500-0.230-0.230-0.125-0.125v > 0 · positivev < 0 · negativeμ mean lineμ ± σ bandlatest bar (outlined)
latest -0.125 · |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)

Formal inference at 5% significance
4 of 6 REJECT · mixed evidence4 reject·2 pass·α = 0.05
𝒩

Jarque-Bera

REJECT H₀***

H₀: Δp ~ Normal(μ, σ²)

STATISTIC
422.6341
p-VALUE (log scale)
< 0.0001
α
10⁻⁴10⁻³10⁻²10⁻¹1
p < α · rejection zonenon-normal · fat tails or skew present
ρ

Ljung-Box(h=5)

FAIL TO REJECTns

H₀: No serial autocorrelation up to lag 5

STATISTIC
2.0571
p-VALUE (log scale)
0.8425
α
10⁻⁴10⁻³10⁻²10⁻¹1
p ≥ α · null retainedconsistent with white noise
Ψ

Dickey-Fuller (τ_μ)

REJECT H₀*

H₀: p has a unit root (non-stationary)

STATISTIC
-3.0594
p-VALUE (log scale)
0.0308
α
10⁻⁴10⁻³10⁻²10⁻¹1
p < α · rejection zonestationary · mean-reverting (crit ≈ -2.86)
±

Wald-Wolfowitz runs

FAIL TO REJECTns

H₀: Sign sequence of Δ is random

STATISTIC
-0.4364
p-VALUE (log scale)
0.6625
α
10⁻⁴10⁻³10⁻²10⁻¹1
p ≥ α · null retainedsigns appear random (3 runs)
χ

KPSS (μ stationarity)

REJECT H₀*

H₀: p IS level-stationary

STATISTIC
0.4767
p-VALUE (log scale)
0.0469
α
10⁻⁴10⁻³10⁻²10⁻¹1
p < α · rejection zonenon-stationary (crit 0.463)
χ

Variance ratio q=3

REJECT H₀**

H₀: Δp is a random walk · VR = 1

STATISTIC
-2.6536
p-VALUE (log scale)
0.0080
α
10⁻⁴10⁻³10⁻²10⁻¹1
p < α · rejection zoneVR 0.193 → mean-reverting
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)

Power spectrum of Δp · ‖X̂(k)‖²/n
n=12 bins · noise floor μ=1.35e-4 · top T=3.43h (13.1%) · top-3 cover 37.4%WHITE NOISE · no dominant cyclecumulative energy ↗ (0 bins above 2× noise)2.1e-41.6e-41.1e-45.3e-50.0e+0μ noise floorperiod 24.0 · power 1.41e-4 · 8.7% energyperiod 24.0 · power 1.41e-4 · 8.7% energyperiod 12.0 · power 1.25e-4 · 7.7% energyperiod 12.0 · power 1.25e-4 · 7.7% energyperiod 8.0 · power 1.18e-4 · 7.3% energyperiod 8.0 · power 1.18e-4 · 7.3% energyperiod 6.0 · power 1.34e-4 · 8.3% energyperiod 6.0 · power 1.34e-4 · 8.3% energyperiod 4.8 · power 1.69e-4 · 10.4% energyperiod 4.8 · power 1.69e-4 · 10.4% energyperiod 4.0 · power 2.02e-4 · 12.5% energyperiod 4.0 · power 2.02e-4 · 12.5% energyperiod 3.4 · power 2.12e-4 · 13.1% energyperiod 3.4 · power 2.12e-4 · 13.1% energyperiod 3.0 · power 1.91e-4 · 11.8% energyperiod 3.0 · power 1.91e-4 · 11.8% energyperiod 2.7 · power 1.45e-4 · 8.9% energyperiod 2.7 · power 1.45e-4 · 8.9% energyperiod 2.4 · power 9.21e-5 · 5.7% energyperiod 2.4 · power 9.21e-5 · 5.7% energyperiod 2.2 · power 5.22e-5 · 3.2% energyperiod 2.2 · power 5.22e-5 · 3.2% energyperiod 2.0 · power 3.75e-5 · 2.3% energyperiod 2.0 · power 3.75e-5 · 2.3% energy50% by T=4.0h#1 dominantT=3.43h#2T=4.00h#3T=3.00hT=2hT=3hT=4hT=6hT=8hT=12hT=16hT=24h← shorter cycle (high freq · Nyquist=½) · period T (bars per cycle) · longer cycle (low freq · 1/n) →#1 dominant#2 peak#3 peak> 2× noisenoiseμ floor2μ sig.cum energy
dominant period ≈ 3.43h (freq 0.292) · concentrates 13.1% of total energy · Σ|X̂|²/n = 1.619e-3

▸ Depth section using sovereign-store price series (131 bars · effective 1753297 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

Returns · per bar / per day / per horizon
Horizon 0.3 d · σ/bar 0.000pp · expected |Δp| over horizon 0.00ppterminal variance p(1−p) = 0.0694 · n = 131n = 131
μ per bar
+0.000pp
average Δp · drift
σ per bar
0.000pp
one-bar volatility · logit-free
Per-day movedaily
0.00pp
σ × √24
Per-horizon move0d
0.00pp
σ × √6
Terminal variancebinary
0.0694
p(1−p) at resolution
Current pricep
92.5¢
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

VaR · ES · max drawdown
VaR₉₅ 0.00pp · ES₉₅ 0.00pp · method parametric · drift-correcteddrift +0.000pp/bar · quantised: yes · median step 0.00pp · unique ratio 0.01low confidence · n < 200
VaR 95%
0.00pp
1.645·σ (parametric) of Δp
ES 95%
0.00pp
mean of the tail
Max drawdown
0.0pp
peak 92.5¢ → trough 92.5¢
Median step
0.00pp
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

Odds conversion · every dialect a bettor thinks in
Implied probabilityP
92.5%
= price
Decimal oddsEU
1.081
total return per $1
AmericanUS
-1233
risk $1233 to win $100
FractionalUK
0.08 / 1
profit per $1 risked
Profit per $100stake
+$8.11
clean dollar framing
-1000-5000+500+1000020406080100you · 92.5%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.

§18 · Binary entropy

Binary entropy · uncertainty as bits of information
Market entropyH(p)
0.384 bit
max 1.0 at p = 0.5
Your entropyH(q)
0.384 bit
Δ +0.000 bit vs market
Surprise · YES−log₂ p
0.11 bit
self-information
Surprise · NO−log₂(1−p)
3.74 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.

§19 · 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 (snapshot)
gamma-api.polymarket.com
Upstream (history)
clob.polymarket.com
YES token ID
53011945791983741601783364956056814011286774433058330748651355151542450532375
NO token ID
107239096618759303889029422680226979145132048949836791025450487929647236646227
Snapshot fetched
2026-06-14 20:27:14 UTC
Snapshot age
2ms
History points
25 CLOB mids
Page rendered
2026-06-14 20:27:14 UTC
Storage policy
no persistence — fetched on every request
SHA-256 attestation
ff7a0d0b3deacfaf35a2d4ad3a0580f7b97b94f3b10c82fbe085e749e7e09b23 · deterministic hash of source snapshot
Open data licence
CC0 / public domain

§∞-2 · Related markets · explore more

Also see: /arb opportunities · RSS feed · more in Netherlands vs. Japan - More Markets

Market depth

live order book · Polymarket YES
Depth 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
0.875000
(best bid + best ask) / 2
Spread
114.3bp
(bestAsk − bestBid) / mid
Imbalance (whole book)
+0.637
bid-heavy
Imbalance (top-5)
+0.756
bid-heavy top-of-book

Slippage scenarios

live book walk · Polymarket YES

Simulating 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-fifwc-nld-jpn-2026-06-14-total-0pt5/slippage?size=10000&side=buy

SideNotionalAvg fillSlippageWorst fillLevelsStatus
BUY$1.00K0.88290990.39bp0.8900002FILLED
BUY$10.00K0.901165299.03bp0.9300006FILLED
BUY$100.00K0.930885638.69bp0.99000012PARTIAL
SELL$1.00K0.86924065.83bp0.8600002FILLED
SELL$10.00K0.849081296.22bp0.8400004FILLED
SELL$100.00K0.6432932648.08bp0.01000025PARTIAL

Risk metrics

sovereign store · 131 barsperiods/year ≈ 1.75M
Realized vol (annualised)
0.00%
σ per bar = 0.000000
Mean return (annualised)
0.00%
μ per bar = 0.000000
Sharpe (rf=0)
0.00
annualised; risk-free assumed zero
Max drawdown
0.00%
peak 0.93 → trough 0.93 over 0 bars

/api/asset/pm-fifwc-nld-jpn-2026-06-14-total-0pt5/risk · same metrics, JSON