POLYMARKET · PREDICTION MARKET · CRYPTO

Will Bitcoin reach $69,000 on June 14?

YES · live
0.1¢
NO · live
100.0¢

▸ Advanced metrics · M2M bundle

polymarket · will-bitcoin-reach-69k-on-june-14 · fresh · feed 0s old
24h sparkline · 60 pts▼ —
realized vol (ann.)
32.75%
max drawdown
92.31%
sharpe
—
ulcer index
79.71%
RMS drawdown
pain index
71.43%
mean drawdown
mod. VaR 95%
0.00%
Cornish-Fisher
martin ratio
—
ret / ulcer
CDaR 95%
92.31%
cond. drawdown
gain/pain
0.00
Σgain / Σ|loss|
sterling
—
ret / CDaR
omega (θ=0)
0.00
upside/downside
roll spread
221.7 bps
implied (price-only)
bars used
294
store
spread
—
24h Δ
—
flow lean
—
carry
flat
signalNEUTRALconfidence 20%
Same bundle via M2M API: /api/m2m/pm-will-bitcoin-reach-69k-on-june-14/bundle · venue execution: polymarket →
LIVEPOLL0SRCFRESH23ms⏱--:--:-- 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=24 · μ=0.0051 · σ=0.0022 · range [0.0005, 0.0110] · R²=0.003▼ FALLING -90.91%σ EXTREME 43.46%LAST 0.00050.01100.00840.00570.00310.0005μ = 0.0051max 0.0110min 0.0005dataMA(4)OLS R²=0.00μ lineμ ± σ bandmaxminlive endpoint
24 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=23 · Σ=270 · μ=11.7 · σ=15.2 · CV=1.29BURSTY · concentratedcumulative energy ↗ · 50% by h=17015304560μ = 126050%h1h4h7h10h13h16h19h22#1 peak#2-3> μactivequietμ linecum energy
Σ 270bp moved · peak 60bp · n=23 ticks
Live numerics · pulse on poll
LIVE NUMERICS8 metrics·POLL 0
⏱snapshot age
23ms
▲YES mid
0.05¢ (0.05%)
▼NO mid
99.95¢ (99.95%)
ΣΣ sides
100.00%
⚖arb gap
0.000pp
$24h vol $
$74.2k
≋liquidity $
$74.1k
◳history points
24 ticks (live)

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

YES price · CLOB mid
n=24 · μ=0.0051 · σ=0.0022 · range [0.0005, 0.0110] · R²=0.003▼ FALLING -90.91%σ EXTREME 43.46%LAST 0.00050.01100.00840.00570.00310.0005μ = 0.0051max 0.0110min 0.0005dataMA(4)OLS R²=0.00μ lineμ ± σ bandmaxmin
24 YES observations from clob.polymarket.com · last 0.05¢
NO price · CLOB mid
n=24 · μ=0.9949 · σ=0.0022 · range [0.9890, 0.9995] · R²=0.003▲ RISING +0.50%σ LOW 0.22%LAST 0.99950.99950.99690.99430.99160.9890μ = 0.9949max 0.9995min 0.9890dataMA(4)OLS R²=0.00μ lineμ ± σ bandmaxmin
24 NO observations from clob.polymarket.com · last 99.95¢

§2 · Distribution of Δp

Histogram of hourly increments
n=23 · 10 bins · μ=-0.0002 · σ=0.0017 · skew=1.23 (right-skewed) · kurt=2.99 (leptokurtic (fat tails))1186304-0.26ppbin -0.26pp · n=4 · 36.4% peakbin -0.26pp · n=4 · 36.4% peak1-0.17ppbin -0.17pp · n=1 · 9.1% peakbin -0.17pp · n=1 · 9.1% peak4-0.08ppbin -0.08pp · n=4 · 36.4% peakbin -0.08pp · n=4 · 36.4% peak110.01ppbin 0.01pp · n=11 · 100.0% peakbin 0.01pp · n=11 · 100.0% peak0.10pp20.19ppbin 0.19pp · n=2 · 18.2% peakbin 0.19pp · n=2 · 18.2% peak0.29pp0.38pp0.46pp10.56ppbin 0.56pp · n=1 · 9.1% peakbin 0.56pp · n=1 · 9.1% peakμΔ < 0 · loss barsΔ ≈ 0 · flatΔ > 0 · gain barsN(μ,σ²) referenceμ line · ±σ band shaded
n=23
Q-Q plot · standardised Δp vs N(0,1)
n=23 · skew=1.20 · kurt=3.09 · near 13 / mid 9 / far 1 · OLS slope=0.94 intercept=-0.00LEPTOKURTIC — FAT TAILSUPPER TAIL NORMALLOWER TAIL NORMAL-3σ-3σ-2σ-2σ-1σ-1σ+0σ+0σ+1σ+1σ+2σ+2σ+3σ+3σsample ↓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=24APPROXIMATELY NORMAL · WELL-BEHAVED
μ MEAN0.51¢95% CI: [0.42¢, 0.60¢]
σ STD DEV0.22ppσ² = 0.050 · CV = 43.46%
med MEDIAN0.50¢Q₁ 0.44¢ · Q₃ 0.56¢
FIVE-NUMBER SUMMARY · BOX PLOTrange 1.05pp · IQR 0.13pp (1.349σ→0.30pp)
min 0.05¢Q₁ 0.44¢med 0.50¢Q₃ 0.56¢max 1.10¢μ
SKEWNESS · G₁0.234approximately symmetric
−3−10+1+3
EXCESS KURTOSIS · G₂0.967mesokurtic · normal-like
−30+2+4+6
μ ↔ median≈ equal · symmetric|μ−med| / σ = 0.06
σ × 1.349 ↔ IQRdiverges from normalratio = 2.40
range ↔ σwide tails (range > 4σ)range / σ = 4.71
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: MARTINGALE · UNPREDICTABLE
ρ(1) AUTOCORR-0.143within white-noise band
ρ(2) AUTOCORR+0.134lag-2 not significant
H · HURST EXPONENT0.976strongly persistent
OLS TREND · t-STAT-0.240fails 5% test
HURST EXPONENT [0, 1]strongly persistent · H = 0.976
H = 0.976STRONGLY PERSISTENT
0
anti-persistent0.45
mean-reverting0.5
random walk0.55
persistent1
strongly trending
AUTOCORRELATION FUNCTION · ρ(k) for k=1..5WHITE NOISE · no significant lags
k=1-0.143k=2+0.134k=3-0.110k=4+0.099k=5-0.2790+1−1+0.42−0.42+ momentum (ρ > +0.42)− reversal (ρ < −0.42)noise (within band)±2/√n threshold
OLS TREND · t-STAT · [-5, +5]NOT SIGNIFICANT (|t|=0.24)
−5 reject−1.960 retain H₀+1.96+5 reject
REGIME CLASSIFICATIONMARTINGALE · UNPREDICTABLEfrom Hurst + ρ(1) joint diagnosis
PREDICTABILITY · score 1.00very high · strong structure|ρ(1)| + 2·|H − 0.5| heuristic
TREND SIGNIFICANCENOT SIGNIFICANT (|t|=0.24)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 ID2538722
SLUGwill-bitcoin-reach-69k-on-june-14
CATEGORYCrypto
TWO-SIDED PRICINGFAVOURS NO (100¢)
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 TESTPERFECT · ARB-FREE Σ=100.00%
0%50%100% · target110%
Σ = 100.00% · |1 − Σ| = 0.000pp
24H ACTIVITY · LIQUIDITYACTIVE
24H VOLUME74.16k USD 24h
LIQUIDITY74.09k 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 DEPTHACTIVE100k+ 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%YES p̂0.1%H = 0.006 / 1.00 bits
Probability scale (YES)
0%25%50%
fair75%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.

§8 · Time decay & θ projection

Time decay & theta projection
⏱ URGENCY · CRITICALresolves 2026-06-15 04:00 UTC
0days
00hrs
34min
34 minutes·θ = 1.091 pp/day
YES →$1.00(P = 0.1%)
NO →$0.00(P = 100.0%)
current: $0.0005 · expected return per side: $1.00 on YES hit · $0.00 on NO hit
0%25%50%75%100%YES $1NO $0NOW+0.3hRESOLVESP projection · σ=0.22% · path funnel to settle at YES=1 or NO=0
Theta progression · θ ∝ σ / √t_remainingθ_now = 1.091 pp/day
now0.57h left
1.091 pp/day×1.00
−25%0.43h left
1.260 pp/day×1.15
−50%0.29h left
1.543 pp/day×1.41
−75%0.14h left
2.183 pp/day×2.00
−90%0.06h left
3.451 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

24-hour signed Δp grid · green = up · red = down
HOURLY RETURN HEATMAP · n=23 bars · best 0.60% · worst -0.30% · typical |Δ| 0.12%MILD BEARISH -0.50%BEST+0.60%17hWORST-0.30%10hTYPICAL |Δ|0.12%mean absoluteCUMULATIVE-0.50%Σ signed ΔSTREAK▬ 0flat-runASIA · 00-08 UTCμ -0.01% · Σ -0.05%EUROPE · 08-16 UTCμ +0.01% · Σ +0.10%US · 16-24 UTCμ -0.07% · Σ -0.55%CUMULATIVE Δ PATH · final -0.50%+0.55%-0.50%0.00% · 1h0.00% · 1h·1h-0.10% · 2h-0.10% · 2h-0.10%2h0.00% · 3h0.00% · 3h·3h0.00% · 4h0.00% · 4h·4h0.05% · 5h0.05% · 5h0.05%5h0.00% · 6h0.00% · 6h·6h0.00% · 7h0.00% · 7h·7h0.00% · 8h0.00% · 8h·8h0.20% · 9h0.20% · 9h0.20%9h-0.30% · 10h-0.30% · 10h-0.30%10h▼ WORST-0.05% · 11h-0.05% · 11h-0.05%11h0.00% · 12h0.00% · 12h·12h0.20% · 13h0.20% · 13h0.20%13h0.00% · 14h0.00% · 14h·14h0.05% · 15h0.05% · 15h0.05%15h-0.10% · 16h-0.10% · 16h-0.10%16h0.60% · 17h0.60% · 17h0.60%17h★ BEST-0.25% · 18h-0.25% · 18h-0.25%18h-0.05% · 19h-0.05% · 19h-0.05%19h-0.15% · 20h-0.15% · 20h-0.15%20h-0.30% · 21h-0.30% · 21h-0.30%21h-0.30% · 22h-0.30% · 22h-0.30%22h0.00% · 23h0.00% · 23h·23hTIME PATTERNEurope-led (+0.10%)RUNSup max 1 · down max 5BREADTH22% up · 39% down · 39% flat
5 up bars · 9 down · best 0.60% · worst -0.30% · typical |Δ| 0.117%

§10 · Equity curve & underwater drawdown

Cumulative compounded return + running peak-to-trough
EQUITY & DRAWDOWN ANALYSIS · n=24 barsLOSS · SHALLOW DD (-0.50%)FINAL-0.50%MAX DD-1.05%RECOVERYONGOING · 6 barsMAX RUN-UP+0.55%UNDERWATER20/24 (83%)STREAK▬ 0EQUITY CURVE · end 0.9950 · peak 1.0055 · range [0.9950, 1.0055]1.00550.9950break-even = 1★ PEAK 1.0055UNDERWATER DRAWDOWN · max -1.05% · moderate0%-1.05%▼ TROUGH -1.05%TOP DRAWDOWN PERIODS · 3 total#1 -1.05%bar 19-24 · 6 bars · ONGOING#2 -0.35%bar 11-17 · 7 bars · recovered#3 -0.10%bar 3-9 · 7 bars · recoveredDD SEVERITYmoderate (max -1.05%)RECOVERYongoing · 6 barsTIME UNDER WATER83% of session · 20/24 bars
final equity 0.9950 (-0.50%) · max DD -1.05% · time-under-water 20/24 bars

§11 · Rolling-window statistics (w = 5 bars)

Rolling annualised Sharpe ratio · green positive · red negative
n=19 · +10 / −9 (53% positive) · μ=-5.06 · σ=56.42MIXED EDGELAST -107.93 (-1.82σ vs μ)181.3290.660.00-90.66-181.32μ = -5.06-17.09-17.09-17.09-17.0941.8641.8641.8641.8654.0454.04-10.46-10.46-15.70-15.70-15.70-15.704.514.51-15.70-15.7038.9338.9325.6325.6351.2651.2617.3917.3914.3614.362.772.77-7.69-7.69-181.32-181.32-107.93-107.93v > 0 · positivev < 0 · negativeμ mean lineμ ± σ bandlatest bar (outlined)
latest -107.934 · range [-181.32, 54.04] · μ -5.056 · positive Sharpe = excess-return-per-risk earned by buying-and-holding through this window
Rolling annualised volatility (%)
n=19 · μ=15.9721 · σ=10.2868 · range [2.0928, 34.1653] · R²=0.428▲ RISING +153.31%σ EXTREME 64.40%LAST 12.985834.165326.147218.129110.11102.0928μ = 15.9721max 34.1653min 2.0928dataMA(3)OLS R²=0.43μ lineμ ± σ bandmaxmin
latest 12.99% · range [2.09%, 34.17%] · μ 15.97% · σ̂ scaled to annualised (×√8760)
Rolling lag-1 autocorrelation ρ(1)
n=19 · +3 / −16 (16% positive) · μ=-0.237 · σ=0.208MEAN-REVERSIONLAST -0.040 (+0.94σ vs μ)0.6030.3020.000-0.302-0.603μ = -0.237-0.092-0.0920.0330.033-0.300-0.300-0.300-0.300-0.083-0.083-0.441-0.441-0.382-0.382-0.394-0.394-0.242-0.2420.1450.145-0.259-0.259-0.279-0.279-0.267-0.267-0.603-0.603-0.512-0.512-0.423-0.423-0.186-0.1860.1260.126-0.040-0.040v > 0 · positivev < 0 · negativeμ mean lineμ ± σ bandlatest bar (outlined)
latest -0.040 · |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
23.1497
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
4.1625
p-VALUE (log scale)
0.5280
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
-1.6712
p-VALUE (log scale)
0.4518
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
-0.2616
p-VALUE (log scale)
0.7936
α
10⁻⁴10⁻³10⁻²10⁻¹1
p ≥ α · null retainedsigns appear random (7 runs)
χ

KPSS (μ stationarity)

FAIL TO REJECTns

H₀: p IS level-stationary

STATISTIC
0.0877
p-VALUE (log scale)
0.5000
α
10⁻⁴10⁻³10⁻²10⁻¹1
p ≥ α · null retainedstationary not rejected (crit 0.463)
χ

Variance ratio q=2

FAIL TO REJECTns

H₀: Δp is a random walk · VR = 1

STATISTIC
-0.4928
p-VALUE (log scale)
0.6222
α
10⁻⁴10⁻³10⁻²10⁻¹1
p ≥ α · null retainedVR 0.897 ≈ 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=11 bins · noise floor μ=3.70e-6 · top T=2.09h (24.5%) · top-3 cover 52.8%1 SIGNIFICANT CYCLEcumulative energy ↗ (1 bin above 2× noise)1.0e-57.5e-65.0e-62.5e-60.0e+0μ noise floor2× noise (significance)period 23.0 · power 3.12e-6 · 7.7% energyperiod 23.0 · power 3.12e-6 · 7.7% energyperiod 11.5 · power 6.44e-6 · 15.8% energyperiod 11.5 · power 6.44e-6 · 15.8% energyperiod 7.7 · power 1.52e-6 · 3.7% energyperiod 7.7 · power 1.52e-6 · 3.7% energyperiod 5.8 · power 1.82e-6 · 4.5% energyperiod 5.8 · power 1.82e-6 · 4.5% energyperiod 4.6 · power 2.37e-6 · 5.8% energyperiod 4.6 · power 2.37e-6 · 5.8% energyperiod 3.8 · power 5.11e-6 · 12.5% energyperiod 3.8 · power 5.11e-6 · 12.5% energyperiod 3.3 · power 1.71e-6 · 4.2% energyperiod 3.3 · power 1.71e-6 · 4.2% energyperiod 2.9 · power 5.04e-6 · 12.4% energyperiod 2.9 · power 5.04e-6 · 12.4% energyperiod 2.6 · power 2.51e-6 · 6.2% energyperiod 2.6 · power 2.51e-6 · 6.2% energyperiod 2.3 · power 1.11e-6 · 2.7% energyperiod 2.3 · power 1.11e-6 · 2.7% energyperiod 2.1 · power 9.96e-6 · 24.5% energyperiod 2.1 · power 9.96e-6 · 24.5% energy50% by T=3.8h#1 dominantT=2.09h#2T=11.50h#3T=3.83hT=3hT=4hT=6hT=8hT=12hT=16h← 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 ≈ 2.09h (freq 0.478) · concentrates 24.5% of total energy · Σ|X̂|²/n = 4.071e-5

▸ Depth section using sovereign-store price series (294 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 0.025pp · expected |Δp| over horizon 0.06ppterminal variance p(1−p) = 0.0005 · n = 294✓ n = 294
μ per bar
-0.002pp
average Δp · drift
σ per bar
0.025pp
one-bar volatility · logit-free
Per-day movedaily
0.12pp
σ × √24
Per-horizon move0d
0.06pp
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 0.04pp · ES₉₅ 0.05pp · method parametric · drift-correcteddrift -0.002pp/bar · quantised: yes · median step 0.30pp · unique ratio 0.01✓ n = 294
VaR 95%
0.04pp
1.645·σ (parametric) of Δp
ES 95%
0.05pp
mean of the tail
Max drawdown
92.3pp
peak 0.7¢ → trough 0.1¢
Median step
0.30pp
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
38701241384035846317479744876641188860191056667096097401359725853803413596699
NO token ID
81583938679872331992431846722948765889976973039093405068811522142406822304858
Snapshot fetched
2026-06-15 03:25:30 UTC
Snapshot age
23ms
History points
24 CLOB mids
Page rendered
2026-06-15 03:25:30 UTC
Storage policy
no persistence — fetched on every request
SHA-256 attestation
8fbbfab2ab6a6f2ca41eaa5bb3fa409ee2294e75efb14d444f1fc24966c7b191 · deterministic hash of source snapshot
Open data licence
CC0 / public domain

§∞-2 · Related markets · explore more

HL PREDIvory Coast99.8¢HL PREDSweden92.2¢HL PREDSpain91.9¢POLYMARKETUS x Iran permanent peace deal by June 15, 2026?87¢POLYMARKETWill Sweden win on 2026-06-14?96¢POLYMARKETWill Australia win the 2026 FIFA World Cup?0¢HL PERPBTC-USD perpetual$65,669.5HL PERPETH-USD perpetual$1,720.55HL PERPHYPE-USD perpetual$64.73

Also see: /arb opportunities · RSS feed · more in Crypto

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-will-bitcoin-reach-69k-on-june-14/slippage?size=10000&side=buy

SideNotionalAvg fillSlippageWorst fillLevelsStatus
BUY$1.00K————ERR
BUY$10.00K————ERR
BUY$100.00K————ERR
SELL$1.00K————ERR
SELL$10.00K————ERR
SELL$100.00K————ERR

Risk metrics

▸ sovereign store · 294 barsperiods/year ≈ 1.75M
Realized vol (annualised)
15780.48%
σ per bar = 0.119177
Mean return (annualised)
-1534852.92%
μ per bar = -0.008754
Sharpe (rf=0)
-97.26
annualised; risk-free assumed zero
Max drawdown
92.31%
peak 0.01 → trough 0.00 over 83 bars

/api/asset/pm-will-bitcoin-reach-69k-on-june-14/risk · same metrics, JSON