POLYMARKET · PREDICTION MARKET · CRYPTO

Will the price of Bitcoin be above $70,000 on June 14?

YES · live
0.1¢
NO · live
100.0¢

▸ Advanced metrics · M2M bundle

polymarket · bitcoin-above-70k-on-june-14-2026 · fresh · feed 0s old
24h sparkline · 60 pts -50.00%
realized vol (ann.)
4.19%
max drawdown
80.00%
sharpe
ulcer index
77.16%
RMS drawdown
pain index
76.26%
mean drawdown
mod. VaR 95%
0.00%
Cornish-Fisher
martin ratio
ret / ulcer
CDaR 95%
80.00%
cond. drawdown
gain/pain
0.00
Σgain / Σ|loss|
sterling
ret / CDaR
omega (θ=0)
0.00
upside/downside
roll spread
33.7 bps
implied (price-only)
bars used
2000
store
spread
24h Δ
-50.00%
flow lean
carry
flat
signalNEUTRALconfidence 25%
  • 24h change -50.00%
Same bundle via M2M API: /api/m2m/pm-bitcoin-above-70k-on-june-14-2026/bundle · venue execution: polymarket
LIVEPOLL0SRCFRESH21ms--:--:-- 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=0.0008 · σ=0.0005 · range [0.0005, 0.0020] · R²=0.187 FALLING -50.00%σ EXTREME 58.75%LAST 0.00050.00200.00160.00130.00090.0005μ = 0.0008max 0.0020min 0.0005dataMA(5)OLS R²=0.19μ 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=55 · μ=2.3 · σ=3.9 · CV=1.70BURSTY · concentratedcumulative energy ↗ · 50% by h=10035810μ = 21050%h1h5h9h13h17h21#1 peak#2-3> μactivequietμ linecum energy
Σ 55bp moved · peak 10bp · n=24 ticks
Live numerics · pulse on poll
LIVE NUMERICS8 metrics·POLL 0
snapshot age
21ms
YES mid
0.05¢ (0.05%)
NO mid
99.95¢ (99.95%)
ΣΣ sides
100.00%
arb gap
0.000pp
$24h vol $
$104.1k
liquidity $
$204.6k
history points
25 ticks (live)

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

YES price · CLOB mid
n=25 · μ=0.0008 · σ=0.0005 · range [0.0005, 0.0020] · R²=0.187 FALLING -50.00%σ EXTREME 58.75%LAST 0.00050.00200.00160.00130.00090.0005μ = 0.0008max 0.0020min 0.0005dataMA(5)OLS R²=0.19μ lineμ ± σ bandmaxmin
25 YES observations from clob.polymarket.com · last 0.05¢
NO price · CLOB mid
n=25 · μ=0.9992 · σ=0.0005 · range [0.9980, 0.9995] · R²=0.187 FLATσ LOW 0.05%LAST 0.99950.99950.99910.99880.99840.9980μ = 0.9992max 0.9995min 0.9980dataMA(5)OLS R²=0.19μ 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=0.0001 · σ=0.0004 · skew=-0.43 (symmetric) · kurt=1.14 (leptokurtic (fat tails))17139402-0.09ppbin -0.09pp · n=2 · 11.8% peakbin -0.09pp · n=2 · 11.8% peak-0.07pp2-0.05ppbin -0.05pp · n=2 · 11.8% peakbin -0.05pp · n=2 · 11.8% peak-0.03pp-0.01pp170.01ppbin 0.01pp · n=17 · 100.0% peakbin 0.01pp · n=17 · 100.0% peak0.03pp10.05ppbin 0.05pp · n=1 · 5.9% peakbin 0.05pp · n=1 · 5.9% peak0.07pp20.09ppbin 0.09pp · n=2 · 11.8% peakbin 0.09pp · n=2 · 11.8% 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=0.08 · kurt=1.48 · near 10 / mid 13 / far 1 · OLS slope=0.88 intercept=-0.00MODERATE DEPARTURE · SOME OUTLIERSUPPER TAIL NORMALMILDLY HEAVY LOWER-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=25STRONGLY RIGHT-SKEWED (G₁=1.23)
μ MEAN0.08¢95% CI: [0.06¢, 0.10¢]
σ STD DEV0.05ppσ² = 21.000×10⁻⁴ · CV = 58.75%
med MEDIAN0.05¢Q₁ 0.05¢ · Q₃ 0.10¢
FIVE-NUMBER SUMMARY · BOX PLOT
min 0.05¢Q₁ 0.05¢med 0.05¢Q₃ 0.10¢max 0.20¢μ
SKEWNESS · G₁1.233right-skewed
−3−10+1+3
EXCESS KURTOSIS · G₂0.086mesokurtic · normal-like
−30+2+4+6
μ ↔ medianμ > med · right-tailed|μ−med| / σ = 0.61
σ × 1.349 ↔ IQRdiverges from normalratio = 1.24
range ↔ σconcentrated (range < 4σ)range / σ = 3.27
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 · ρ(1) -0.21 + ADF rejected
ρ(1) AUTOCORR-0.213within white-noise band
ρ(2) AUTOCORR-0.053lag-2 not significant
H · HURST EXPONENT0.569persistent
OLS TREND · t-STAT-2.300significant @ α=0.05
HURST EXPONENT [0, 1]
H = 0.569PERSISTENT
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=1-0.213k=2-0.053k=3-0.159k=4-0.106k=5-0.0550+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 · ρ(1) -0.21 + ADF rejectedfrom Hurst + ρ(1) joint diagnosis
PREDICTABILITY · score 0.35high · clear structure|ρ(1)| + 2·|H − 0.5| heuristic
TREND SIGNIFICANCESIGNIFICANT @ 5% (|t|=2.30)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 ID2462719
SLUGbitcoin-above-70k-on-june-14-2026
CATEGORYCrypto
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 VOLUME104.13k USD 24h
LIQUIDITY204.56k 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 0.10% · worst -0.10% · typical |Δ| 0.02%MILD BEARISH -0.05%BEST+0.10%6hWORST-0.10%10hTYPICAL |Δ|0.02%mean absoluteCUMULATIVE-0.05%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 +0.00% · Σ +0.00%CUMULATIVE Δ PATH · final -0.05%+0.10%-0.05%0.00% · 1h0.00% · 1h·1h-0.05% · 2h-0.05% · 2h-0.05%2h0.00% · 3h0.00% · 3h·3h0.00% · 4h0.00% · 4h·4h0.05% · 5h0.05% · 5h0.05%5h0.10% · 6h0.10% · 6h0.10%6h★ BEST-0.05% · 7h-0.05% · 7h-0.05%7h0.00% · 8h0.00% · 8h·8h0.00% · 9h0.00% · 9h·9h-0.10% · 10h-0.10% · 10h-0.10%10h▼ WORST0.00% · 11h0.00% · 11h·11h0.00% · 12h0.00% · 12h·12h0.10% · 13h0.10% · 13h0.10%13h-0.10% · 14h-0.10% · 14h-0.10%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·20h0.00% · 21h0.00% · 21h·21h0.00% · 22h0.00% · 22h·22h0.00% · 23h0.00% · 23h·23h0.00% · 24h0.00% · 24h·24hTIME PATTERNuniform across sessionsRUNSup max 2 · down max 1BREADTH13% up · 17% down · 71% flat
3 up bars · 4 down · best 0.10% · worst -0.10% · typical |Δ| 0.023%

§10 · Equity curve & underwater drawdown

Cumulative compounded return + running peak-to-trough
EQUITY & DRAWDOWN ANALYSIS · n=25 barsFLAT · NO MATERIAL MOVEMENTFINAL-0.05%MAX DD-0.15%RECOVERYONGOING · 18 barsMAX RUN-UP+0.10%UNDERWATER22/25 (88%)STREAK▬ 0EQUITY CURVE · end 0.9995 · peak 1.0010 · range [0.9995, 1.0010]1.00100.9995break-even = 1★ PEAK 1.0010UNDERWATER DRAWDOWN · max -0.15% · shallow0%-0.15%▼ TROUGH -0.15%TOP DRAWDOWN PERIODS · 2 total#1 -0.15%bar 8-25 · 18 bars · ONGOING#2 -0.05%bar 3-6 · 4 bars · recoveredDD SEVERITYshallow (max -0.15%)RECOVERYongoing · 18 barsTIME UNDER WATER88% of session · 22/25 bars
final equity 0.9995 (-0.05%) · max DD -0.15% · time-under-water 22/25 bars

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

Rolling annualised Sharpe ratio · green positive · red negative
n=19 · +4 / −5 (21% positive) · μ=-2.28 · σ=21.60UNPROFITABLE STRATEGYLAST 0.00 (+0.11σ vs μ)55.9327.970.00-27.97-55.93μ = -2.2830.2130.2113.3413.3430.2130.2130.2130.210.000.00-11.74-11.74-55.93-55.930.000.00-20.72-20.72-20.72-20.720.000.000.000.000.000.00-38.21-38.210.000.000.000.000.000.000.000.000.000.00v > 0 · positivev < 0 · negativeμ mean lineμ ± σ bandlatest bar (outlined)
latest 0.000 · range [-55.93, 30.21] · μ -2.282 · positive Sharpe = excess-return-per-risk earned by buying-and-holding through this window
Rolling annualised volatility (%)
n=19 · μ=4.1218 · σ=2.6778 · range [0.0000, 7.0456] · R²=0.480 FALLING -100.00%σ EXTREME 64.97%LAST 0.00007.04565.28423.52281.76140.0000μ = 4.1218max 7.0456min 0.0000dataMA(3)OLS R²=0.48μ lineμ ± σ bandmaxmin
latest 0.00% · range [0.00%, 7.05%] · μ 4.12% · σ̂ scaled to annualised (×√8760)
Rolling lag-1 autocorrelation ρ(1)
n=19 · +1 / −11 (5% positive) · μ=-0.154 · σ=0.230MEAN-REVERSIONLAST 0.000 (+0.67σ vs μ)0.5000.2500.000-0.250-0.500μ = -0.1540.3540.354-0.077-0.077-0.146-0.146-0.146-0.1460.0000.000-0.286-0.286-0.357-0.3570.0000.000-0.363-0.363-0.363-0.363-0.500-0.500-0.500-0.500-0.500-0.500-0.033-0.0330.0000.0000.0000.0000.0000.0000.0000.0000.0000.000v > 0 · positivev < 0 · negativeμ mean lineμ ± σ bandlatest bar (outlined)
latest 0.000 · |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
ALL TESTS PASS · data behaves as nominal0 reject·6 pass·α = 0.05
𝒩

Jarque-Bera

FAIL TO REJECTns

H₀: Δp ~ Normal(μ, σ²)

STATISTIC
4.5913
p-VALUE (log scale)
0.1007
α
10⁻⁴10⁻³10⁻²10⁻¹1
p ≥ α · null retainednormality not rejected
ρ

Ljung-Box(h=5)

FAIL TO REJECTns

H₀: No serial autocorrelation up to lag 5

STATISTIC
2.5107
p-VALUE (log scale)
0.7771
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
-2.6056
p-VALUE (log scale)
0.0939
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
0.4851
p-VALUE (log scale)
0.6276
α
10⁻⁴10⁻³10⁻²10⁻¹1
p ≥ α · null retainedsigns appear random (5 runs)
χ

KPSS (μ stationarity)

FAIL TO REJECTns

H₀: p IS level-stationary

STATISTIC
0.3523
p-VALUE (log scale)
0.0977
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
-0.8930
p-VALUE (log scale)
0.3718
α
10⁻⁴10⁻³10⁻²10⁻¹1
p ≥ α · null retainedVR 0.728 ≈ 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=2.08e-7 · top T=2.40h (19.6%) · top-3 cover 44.1%1 SIGNIFICANT CYCLEcumulative energy ↗ (1 bin above 2× noise)4.9e-73.7e-72.5e-71.2e-70.0e+0μ noise floor2× noise (significance)period 24.0 · power 2.47e-8 · 1.0% energyperiod 24.0 · power 2.47e-8 · 1.0% energyperiod 12.0 · power 9.32e-8 · 3.7% energyperiod 12.0 · power 9.32e-8 · 3.7% energyperiod 8.0 · power 2.86e-7 · 11.5% energyperiod 8.0 · power 2.86e-7 · 11.5% energyperiod 6.0 · power 3.23e-7 · 12.9% energyperiod 6.0 · power 3.23e-7 · 12.9% energyperiod 4.8 · power 1.65e-8 · 0.7% energyperiod 4.8 · power 1.65e-8 · 0.7% energyperiod 4.0 · power 2.60e-7 · 10.4% energyperiod 4.0 · power 2.60e-7 · 10.4% energyperiod 3.4 · power 2.90e-7 · 11.6% energyperiod 3.4 · power 2.90e-7 · 11.6% energyperiod 3.0 · power 1.35e-7 · 5.4% energyperiod 3.0 · power 1.35e-7 · 5.4% energyperiod 2.7 · power 1.10e-7 · 4.4% energyperiod 2.7 · power 1.10e-7 · 4.4% energyperiod 2.4 · power 4.90e-7 · 19.6% energyperiod 2.4 · power 4.90e-7 · 19.6% energyperiod 2.2 · power 2.10e-7 · 8.4% energyperiod 2.2 · power 2.10e-7 · 8.4% energyperiod 2.0 · power 2.60e-7 · 10.4% energyperiod 2.0 · power 2.60e-7 · 10.4% energy50% by T=3.4h#1 dominantT=2.40h#2T=6.00h#3T=3.43hT=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 19.6% of total energy · Σ|X̂|²/n = 2.500e-6

▸ Depth section using sovereign-store price series (3628 bars · effective 1752908 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 0.004pp · expected |Δp| over horizon 0.01ppterminal variance p(1−p) = 0.0005 · n = 3628n = 3628
μ per bar
-0.000pp
average Δp · drift
σ per bar
0.004pp
one-bar volatility · logit-free
Per-day movedaily
0.02pp
σ × √24
Per-horizon move0d
0.01pp
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 0.01pp · ES₉₅ 0.01pp · method parametric · drift-correcteddrift -0.000pp/bar · quantised: yes · median step 0.05pp · unique ratio 0.00n = 3628
VaR 95%
0.01pp
1.645·σ (parametric) of Δp
ES 95%
0.01pp
mean of the tail
Max drawdown
80.0pp
peak 0.3¢ → trough 0.1¢
Median step
0.05pp
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
105950029887351056272161293832933258737776544071469313545073104677572876625508
NO token ID
37615787688107342539638021859691745837533868381878405908773536222233283844438
Snapshot fetched
2026-06-14 16:09:04 UTC
Snapshot age
21ms
History points
25 CLOB mids
Page rendered
2026-06-14 16:09:04 UTC
Storage policy
no persistence — fetched on every request
SHA-256 attestation
29944ba335344cb7777ab6cd6b9e11709d87e55abbc788d5bbe3feb5014d12af · deterministic hash of source snapshot
Open data licence
CC0 / public domain

§∞-2 · Related markets · explore more

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-bitcoin-above-70k-on-june-14-2026/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 · 3,628 barsperiods/year ≈ 1.75M
Realized vol (annualised)
5123.20%
σ per bar = 0.038696
Mean return (annualised)
-33499.40%
μ per bar = -0.000191
Sharpe (rf=0)
-6.54
annualised; risk-free assumed zero
Max drawdown
80.00%
peak 0.00 → trough 0.00 over 283 bars

/api/asset/pm-bitcoin-above-70k-on-june-14-2026/risk · same metrics, JSON