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

Netherlands vs. Japan: 1st Half O/U 0.5

YES · live
0.1¢
NO · live
100.0¢

▸ Advanced metrics · M2M bundle

polymarket · fifwc-nld-jpn-2026-06-14-first-half-total-0pt5 · fresh · feed 0s old
24h sparkline · 60 pts
realized vol (ann.)
2604.16%
max drawdown
99.93%
sharpe
ulcer index
63.04%
RMS drawdown
pain index
47.50%
mean drawdown
mod. VaR 95%
0.00%
Cornish-Fisher
martin ratio
ret / ulcer
CDaR 95%
99.93%
cond. drawdown
gain/pain
0.01
Σgain / Σ|loss|
sterling
ret / CDaR
omega (θ=0)
0.01
upside/downside
roll spread
108.9 bps
implied (price-only)
bars used
352
store
spread
24h Δ
flow lean
carry
flat
signalNEUTRALconfidence 20%
Same bundle via M2M API: /api/m2m/pm-fifwc-nld-jpn-2026-06-14-first-half-total-0pt5/bundle · venue execution: polymarket
LIVEPOLL0SRCFRESH141ms--:--:-- 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
0.1¢
NO · live
100.0¢
YES price · live 24h
n=25 · μ=0.6280 · σ=0.1883 · range [0.0005, 0.6950] · R²=0.233 FALLING -99.93%σ EXTREME 29.98%LAST 0.00050.69500.52140.34770.17410.0005μ = 0.6280max 0.6950min 0.0005dataMA(5)OLS R²=0.23μ lineμ ± σ bandmaxminlive endpoint
25 ticks · last 0.05¢
YES / NO split · live
YES 0.1%NO 100.0%NO100.0%99.95¢ · odds 1/1.00
Σ 100.00% · fair
Σ-sides total = 100.00% (tight rounding)
H(p) entropy = 0.006 / 1.00 bits (1%) · informative — one side favoured
YES
0.1%0.1¢2000.00× +0.00pp
NO
100.0%100.0¢1.00× +0.00pp
Σ 100.00% · arb gap 0.00pp
Per-tick activity · |Δp| in basis points · live
n=24 · Σ=7,345 · μ=306.0 · σ=1405.3 · CV=4.59BURSTY · concentratedcumulative energy ↗ · 50% by h=2301,7253,4505,1756,900μ = 3066,90050%h1h5h9h13h17h21#1 peak#2-3> μactivequietμ linecum energy
Σ 7345bp moved · peak 6900bp · n=24 ticks
Live numerics · pulse on poll
LIVE NUMERICS8 metrics·POLL 0
snapshot age
141ms
YES mid
0.05¢ (0.05%)
NO mid
99.95¢ (99.95%)
ΣΣ sides
100.00%
arb gap
0.000pp
$24h vol $
$150.0k
liquidity $
$123.9k
history points
25 ticks (live)

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

YES price · CLOB mid
n=25 · μ=0.6280 · σ=0.1883 · range [0.0005, 0.6950] · R²=0.233 FALLING -99.93%σ EXTREME 29.98%LAST 0.00050.69500.52140.34770.17410.0005μ = 0.6280max 0.6950min 0.0005dataMA(5)OLS R²=0.23μ lineμ ± σ bandmaxmin
25 YES observations from clob.polymarket.com · last 0.05¢
NO price · CLOB mid
n=25 · μ=0.3720 · σ=0.1883 · range [0.3050, 0.9995] · R²=0.233 RISING +217.30%σ EXTREME 50.61%LAST 0.99950.99950.82590.65220.47860.3050μ = 0.3720max 0.9995min 0.3050dataMA(5)OLS R²=0.23μ lineμ ± σ bandmaxmin
25 NO observations from clob.polymarket.com · last 99.95¢

§2 · Distribution of Δp

Histogram of hourly increments
n=24 · 10 bins · μ=-0.0421 · σ=0.1277 · skew=-4.59 (left-skewed) · kurt=19.04 (leptokurtic (fat tails))231712601-65.45ppbin -65.45pp · n=1 · 4.3% peakbin -65.45pp · n=1 · 4.3% peak-58.35pp-51.25pp-44.15pp-37.05pp-29.95pp-22.85pp-15.75pp-8.65pp23-1.55ppbin -1.55pp · n=23 · 100.0% peakbin -1.55pp · n=23 · 100.0% 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=-4.58 · kurt=18.99 · near 6 / mid 10 / far 8 · OLS slope=0.47 intercept=-0.00LEPTOKURTIC — FAT TAILSTHIN UPPER TAILLOWER TAIL NORMAL-3σ-3σ-2σ-2σ-1σ-1σ+0σ+0σ+1σ+1σ+2σ+2σ+3σ+3σΔ=-2.76σΔ=+1.67σΔ=-1.69σsample ↓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=6.74)
μ MEAN62.80¢95% CI: [55.42¢, 70.18¢]
σ STD DEV18.83ppσ² = 354.468 · CV = 29.98%
med MEDIAN68.50¢Q₁ 67.50¢ · Q₃ 68.50¢
FIVE-NUMBER SUMMARY · BOX PLOT
min 0.05¢Q₁ 67.50¢med 68.50¢Q₃ 68.50¢max 69.50¢μ
SKEWNESS · G₁-2.908left-skewed
−3−10+1+3
EXCESS KURTOSIS · G₂6.740leptokurtic · fat tails
−30+2+4+6
μ ↔ medianμ < med · left-tailed|μ−med| / σ = 0.30
σ × 1.349 ↔ IQRdiverges from normalratio = 25.40
range ↔ σconcentrated (range < 4σ)range / σ = 3.69
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-0.068within white-noise band
ρ(2) AUTOCORR-0.003lag-2 not significant
H · HURST EXPONENT0.507random-walk
OLS TREND · t-STAT-2.643significant @ α=0.05
HURST EXPONENT [0, 1]
H = 0.507RANDOM-WALK
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=1-0.068k=2-0.003k=3-0.014k=4-0.008k=5-0.0020+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 0.08low · ~ unpredictable|ρ(1)| + 2·|H − 0.5| heuristic
TREND SIGNIFICANCESIGNIFICANT @ 1% (|t|=2.64)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 ID2481488
SLUGfifwc-nld-jpn-2026-06-14-first-half-total-0pt5
CATEGORYNetherlands vs. Japan - More Markets
TWO-SIDED PRICING
PRIMARY · YES0.05¢implied prob 0.05% · decimal odds 2000.00×
COUNTER · NO99.95¢implied prob 99.95% · decimal odds 1.00×
0.05¢
99.95¢
Σ-SIDES ARBITRAGE TEST
0%50%100% · target110%
Σ = 100.00% · |1 − Σ| = 0.000pp
24H ACTIVITY · LIQUIDITY
24H VOLUME150.04k USD 24h
LIQUIDITY123.94k USD
MARKET QUALITYPERFECT · ARB-FREE Σ=100.00%|1−Σ| ≤ 0.5pp ⇒ fair · > 2pp ⇒ inefficient
PRICING SKEWFAVOURS NO (100¢)|primary − counter| = 0.999 · entropy 0.006 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 0.1%NO 100.0%YES0.1%H = 0.006 / 1.00 bits
Probability scale (YES)
0%25%50%
fair
75%100%
Implied decimal odds
YES2000.00×(0¢)NO1.00×(100¢)
Kelly bet-size (% of bankroll) K* = 0.00%
K* full
0.00%
½K half
0.00%
¼K quarter
0.00%
Entropy H(p̂) = 0.006 bits (1% 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 2.00% · worst -69.00% · typical |Δ| 3.06%BEARISH SESSION -68.45%BEST+2.00%22hWORST-69.00%23hTYPICAL |Δ|3.06%mean absoluteCUMULATIVE-68.45%Σ signed ΔSTREAK↘ 2down-runASIA · 00-08 UTCμ +0.00% · Σ +0.00%EUROPE · 08-16 UTCμ +0.00% · Σ +0.00%US · 16-24 UTCμ -8.50% · Σ -68.00%CUMULATIVE Δ PATH · final -68.45%+1.00%-68.45%0.00% · 1h0.00% · 1h·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·15h-1.00% · 16h-1.00% · 16h-1.00%16h0.00% · 17h0.00% · 17h·17h-0.50% · 18h-0.50% · 18h-0.50%18h0.00% · 19h0.00% · 19h·19h0.50% · 20h0.50% · 20h0.50%20h0.00% · 21h0.00% · 21h·21h2.00% · 22h2.00% · 22h2.00%22h★ BEST-69.00% · 23h-69.00% · 23h-69.00%23h▼ WORST-0.45% · 24h-0.45% · 24h-0.45%24hTIME PATTERNUS-led (+-68.00%)RUNSup max 1 · down max 2BREADTH8% up · 17% down · 75% flat
2 up bars · 4 down · best 2.00% · worst -69.00% · typical |Δ| 3.060%

§10 · Equity curve & underwater drawdown

Cumulative compounded return + running peak-to-trough
EQUITY & DRAWDOWN ANALYSIS · n=25 barsSEVERE DRAWDOWN -68.84%FINAL-68.84%MAX DD-69.14%RECOVERYONGOING · 2 barsMAX RUN-UP+0.98%UNDERWATER8/25 (32%)STREAK↘ 2EQUITY CURVE · end 0.3116 · peak 1.0098 · range [0.3116, 1.0098]1.00980.3116break-even = 1★ PEAK 1.0098UNDERWATER DRAWDOWN · max -69.14% · severe0%-69.14%▼ TROUGH -69.14%TOP DRAWDOWN PERIODS · 2 total#1 -69.14%bar 24-25 · 2 bars · ONGOING#2 -1.50%bar 17-22 · 6 bars · recoveredDD SEVERITYsevere (max -69.14%)RECOVERYongoing · 2 barsTIME UNDER WATER32% of session · 8/25 bars
final equity 0.3116 (-68.84%) · max DD -69.14% · time-under-water 8/25 bars

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

Rolling annualised Sharpe ratio · green positive · red negative
n=19 · +1 / −8 (5% positive) · μ=-15.09 · σ=24.34UNPROFITABLE STRATEGYLAST -36.84 (-0.89σ vs μ)55.9327.970.00-27.97-55.93μ = -15.090.000.000.000.000.000.000.000.000.000.000.000.000.000.000.000.000.000.000.000.00-38.21-38.21-38.21-38.21-55.93-55.93-55.93-55.93-30.21-30.21-30.21-30.2135.6335.63-36.87-36.87-36.84-36.84v > 0 · positivev < 0 · negativeμ mean lineμ ± σ bandlatest bar (outlined)
latest -36.839 · range [-55.93, 35.63] · μ -15.094 · positive Sharpe = excess-return-per-risk earned by buying-and-holding through this window
Rolling annualised volatility (%)
n=19 · μ=296.8253 · σ=830.7287 · range [0.0000, 2653.3451] · R²=0.307 FLATσ EXTREME 279.87%LAST 2653.34512653.34511990.00891326.6726663.33630.0000μ = 296.8253max 2653.3451min 0.0000dataMA(3)OLS R²=0.31μ lineμ ± σ bandmaxmin
latest 2653.35% · range [0.00%, 2653.35%] · μ 296.83% · σ̂ scaled to annualised (×√8760)
Rolling lag-1 autocorrelation ρ(1)
n=19 · +0 / −9 (0% positive) · μ=-0.089 · σ=0.147MEAN-REVERSIONLAST -0.242 (-1.04σ vs μ)0.5000.2500.000-0.250-0.500μ = -0.0890.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.000-0.033-0.033-0.233-0.233-0.357-0.357-0.500-0.500-0.208-0.208-0.021-0.021-0.029-0.029-0.058-0.058-0.242-0.242v > 0 · positivev < 0 · negativeμ mean lineμ ± σ bandlatest bar (outlined)
latest -0.242 · |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
1 of 6 REJECT · mixed evidence1 reject·5 pass·α = 0.05
𝒩

Jarque-Bera

REJECT H₀***

H₀: Δp ~ Normal(μ, σ²)

STATISTIC
668.3597
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
0.1319
p-VALUE (log scale)
0.9991
α
10⁻⁴10⁻³10⁻²10⁻¹1
p ≥ α · null retainedconsistent with white noise
Ψ

Dickey-Fuller (τ_μ)

FAIL TO REJECTns

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

STATISTIC
-0.2635
p-VALUE (log scale)
0.9239
α
10⁻⁴10⁻³10⁻²10⁻¹1
p ≥ α · null retainedrandom-walk behaviour (crit ≈ -2.86)
±

Wald-Wolfowitz runs

FAIL TO REJECTns

H₀: Sign sequence of Δ is random

STATISTIC
-0.7071
p-VALUE (log scale)
0.4795
α
10⁻⁴10⁻³10⁻²10⁻¹1
p ≥ α · null retainedsigns appear random (3 runs)
χ

KPSS (μ stationarity)

FAIL TO REJECTns

H₀: p IS level-stationary

STATISTIC
0.3931
p-VALUE (log scale)
0.0801
α
10⁻⁴10⁻³10⁻²10⁻¹1
p ≥ α · null retainedstationary not rejected (crit 0.463)
χ

Variance ratio q=3

FAIL TO REJECTns

H₀: Δp is a random walk · VR = 1

STATISTIC
-1.1302
p-VALUE (log scale)
0.2584
α
10⁻⁴10⁻³10⁻²10⁻¹1
p ≥ α · null retainedVR 0.656 ≈ 1 (RW behaviour)
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=1.99e-2 · top T=2.40h (9.0%) · top-3 cover 26.2%WHITE NOISE · no dominant cyclecumulative energy ↗ (0 bins above 2× noise)2.1e-21.6e-21.1e-25.4e-30.0e+0μ noise floorperiod 24.0 · power 1.87e-2 · 7.8% energyperiod 24.0 · power 1.87e-2 · 7.8% energyperiod 12.0 · power 1.84e-2 · 7.7% energyperiod 12.0 · power 1.84e-2 · 7.7% energyperiod 8.0 · power 1.97e-2 · 8.2% energyperiod 8.0 · power 1.97e-2 · 8.2% energyperiod 6.0 · power 2.01e-2 · 8.4% energyperiod 6.0 · power 2.01e-2 · 8.4% energyperiod 4.8 · power 1.95e-2 · 8.2% energyperiod 4.8 · power 1.95e-2 · 8.2% energyperiod 4.0 · power 1.99e-2 · 8.3% energyperiod 4.0 · power 1.99e-2 · 8.3% energyperiod 3.4 · power 2.02e-2 · 8.4% energyperiod 3.4 · power 2.02e-2 · 8.4% energyperiod 3.0 · power 1.96e-2 · 8.2% energyperiod 3.0 · power 1.96e-2 · 8.2% energyperiod 2.7 · power 2.01e-2 · 8.4% energyperiod 2.7 · power 2.01e-2 · 8.4% energyperiod 2.4 · power 2.14e-2 · 9.0% energyperiod 2.4 · power 2.14e-2 · 9.0% energyperiod 2.2 · power 2.10e-2 · 8.8% energyperiod 2.2 · power 2.10e-2 · 8.8% energyperiod 2.0 · power 2.02e-2 · 8.4% energyperiod 2.0 · power 2.02e-2 · 8.4% energy50% by T=3.4h#1 dominantT=2.40h#2T=2.18h#3T=2.00hT=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 ≈ 2.40h (freq 0.417) · concentrates 9.0% of total energy · Σ|X̂|²/n = 2.387e-1

▸ Depth section using sovereign-store price series (352 bars · effective 1753103 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 1.967pp · expected |Δp| over horizon 4.82ppterminal variance p(1−p) = 0.0005 · n = 352n = 352
μ per bar
-0.195pp
average Δp · drift
σ per bar
1.967pp
one-bar volatility · logit-free
Per-day movedaily
9.64pp
σ × √24
Per-horizon move0d
4.82pp
σ × √6
Terminal variancebinary
0.0005
p(1−p) at resolution
Current pricep
0.1¢
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 3.43pp · ES₉₅ 4.25pp · method parametric · drift-correcteddrift -0.195pp/bar · quantised: yes · median step 9.00pp · unique ratio 0.02n = 352
VaR 95%
3.43pp
1.645·σ (parametric) of Δp
ES 95%
4.25pp
mean of the tail
Max drawdown
99.9pp
peak 68.5¢ → trough 0.1¢
Median step
9.00pp
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
0.1%
= price
Decimal oddsEU
2000.000
total return per $1
AmericanUS
+199900
$100 wins $199900
FractionalUK
1999.00 / 1
profit per $1 risked
Profit per $100stake
+$199900.00
clean dollar framing
-1000-5000+500+1000020406080100you · 0.1%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)
0.006 bit
max 1.0 at p = 0.5
Your entropyH(q)
0.006 bit
Δ +0.000 bit vs market
Surprise · YES−log₂ p
10.97 bit
self-information
Surprise · NO−log₂(1−p)
0.00 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
68284117192658425168392716050672951373035984491501377513427001744696447461552
NO token ID
103714240156350527420912600891894026071795145013659820653899441490890538858404
Snapshot fetched
2026-06-14 21:38:06 UTC
Snapshot age
141ms
History points
25 CLOB mids
Page rendered
2026-06-14 21:38:06 UTC
Storage policy
no persistence — fetched on every request
SHA-256 attestation
25274cbcec52d91fd7e573395ae8a194e320e5ed9213e18145007858b699fdc6 · 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
(best bid + best ask) / 2
Spread
(bestAsk − bestBid) / mid
Imbalance (whole book)
-1.000
ask-heavy
Imbalance (top-5)
-1.000
ask-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-first-half-total-0pt5/slippage?size=10000&side=buy

SideNotionalAvg fillSlippageWorst fillLevelsStatus
BUY$1.00KERR
BUY$10.00KERR
BUY$100.00KERR
SELL$1.00KERR
SELL$10.00KERR
SELL$100.00KERR

Risk metrics

sovereign store · 352 barsperiods/year ≈ 1.75M
Realized vol (annualised)
30027.99%
σ per bar = 0.226789
Mean return (annualised)
-3607378.72%
μ per bar = -0.020577
Sharpe (rf=0)
-120.13
annualised; risk-free assumed zero
Max drawdown
99.93%
peak 0.69 → trough 0.00 over 299 bars

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