POLYMARKET · PREDICTION MARKET · # OF VIEWS OF NEXT MRBEAST VIDEO ON DAY 1?

Will MrBeast's next video get between 45 and 50 million views on day 1?

YES · live
0.1¢
NO · live
100.0¢

▸ Advanced metrics · M2M bundle

polymarket · will-mrbeasts-next-video-get-between-45-and-50-million-views-on-day-1-20260608161932597 · 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
2000
store
spread
—
24h Δ
—
flow lean
—
carry
flat
signalNEUTRALconfidence 20%
Same bundle via M2M API: /api/m2m/pm-will-mrbeasts-next-video-get-between-45-and-50-million-views-on-day-1-20260608161932597/bundle · venue execution: polymarket →
LIVEPOLL0SRCFRESH8ms⏱--:--:-- 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=0.0096 · σ=0.0238 · range [0.0005, 0.0900] · R²=0.332▼ FALLING -99.44%σ EXTREME 248.87%LAST 0.00050.09000.06760.04520.02290.0005μ = 0.0096max 0.0900min 0.0005dataMA(4)OLS R²=0.33μ 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=1,075 · μ=46.7 · σ=122.5 · CV=2.62BURSTY · concentratedcumulative energy ↗ · 50% by h=20138275413550μ = 4755050%h1h4h7h10h13h16h19h22#1 peak#2-3> μactivequietμ linecum energy
Σ 1075bp moved · peak 550bp · n=23 ticks
Live numerics · pulse on poll
LIVE NUMERICS8 metrics·POLL 0
⏱snapshot age
8ms
▲YES mid
0.05¢ (0.05%)
▼NO mid
99.95¢ (99.95%)
ΣΣ sides
100.00%
⚖arb gap
0.000pp
$24h vol $
$26.4k
≋liquidity $
$72.5k
◳history points
24 ticks (live)

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

YES price · CLOB mid
n=24 · μ=0.0096 · σ=0.0238 · range [0.0005, 0.0900] · R²=0.332▼ FALLING -99.44%σ EXTREME 248.87%LAST 0.00050.09000.06760.04520.02290.0005μ = 0.0096max 0.0900min 0.0005dataMA(4)OLS R²=0.33μ lineμ ± σ bandmaxmin
24 YES observations from clob.polymarket.com · last 0.05¢
NO price · CLOB mid
n=24 · μ=0.9904 · σ=0.0238 · range [0.9100, 0.9995] · R²=0.332▲ RISING +9.84%σ NORMAL 2.41%LAST 0.99950.99950.97710.95470.93240.9100μ = 0.9904max 0.9995min 0.9100dataMA(4)OLS R²=0.33μ 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=-0.0029 · σ=0.0118 · skew=-3.31 (left-skewed) · kurt=10.44 (leptokurtic (fat tails))18149501-5.20ppbin -5.20pp · n=1 · 5.6% peakbin -5.20pp · n=1 · 5.6% peak-4.61pp-4.01pp-3.42pp-2.82pp1-2.23ppbin -2.23pp · n=1 · 5.6% peakbin -2.23pp · n=1 · 5.6% peak-1.63pp1-1.04ppbin -1.04pp · n=1 · 5.6% peakbin -1.04pp · n=1 · 5.6% peak2-0.44ppbin -0.44pp · n=2 · 11.1% peakbin -0.44pp · n=2 · 11.1% peak180.15ppbin 0.15pp · n=18 · 100.0% peakbin 0.15pp · n=18 · 100.0% 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=-3.32 · kurt=10.52 · near 6 / mid 15 / far 2 · OLS slope=0.69 intercept=-0.00LEPTOKURTIC — FAT TAILSTHIN UPPER TAILMILDLY HEAVY LOWER-3σ-3σ-2σ-2σ-1σ-1σ+0σ+0σ+1σ+1σ+2σ+2σ+3σ+3σΔ=-2.15σsample ↓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=24LEPTOKURTIC · FAT TAILS (G₂=5.57)
μ MEAN0.96¢95% CI: [0.00¢, 1.91¢]
σ STD DEV2.38ppσ² = 5.688 · CV = 248.87%
med MEDIAN0.05¢Q₁ 0.05¢ · Q₃ 0.33¢
FIVE-NUMBER SUMMARY · BOX PLOTrange 8.95pp · IQR 0.28pp (1.349σ→3.22pp)
min 0.05¢Q₁ 0.05¢med 0.05¢Q₃ 0.33¢max 9.00¢μ
SKEWNESS · G₁2.643right-skewed
−3−10+1+3
EXCESS KURTOSIS · G₂5.573leptokurtic · fat tails
−30+2+4+6
μ ↔ medianμ > med · right-tailed|μ−med| / σ = 0.38
σ × 1.349 ↔ IQRdiverges from normalratio = 11.70
range ↔ σconcentrated (range < 4σ)range / σ = 3.75
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+0.424positive · momentum
ρ(2) AUTOCORR-0.077lag-2 not significant
H · HURST EXPONENT0.880strongly persistent
OLS TREND · t-STAT-3.306significant @ α=0.05
HURST EXPONENT [0, 1]strongly persistent · H = 0.880
H = 0.880STRONGLY PERSISTENT
0
anti-persistent0.45
mean-reverting0.5
random walk0.55
persistent1
strongly trending
AUTOCORRELATION FUNCTION · ρ(k) for k=1..51 SIGNIFICANT LAG · k=1
k=1 ★+0.424k=2-0.077k=3-0.059k=4+0.063k=5-0.0030+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]SIGNIFICANT @ 1% (|t|=3.31)
−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 @ 1% (|t|=3.31)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 ID2471706
SLUGwill-mrbeasts-ne…608161932597
CATEGORY# of views of next MrBeast video on day 1?
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 VOLUME26.45k USD 24h
LIQUIDITY72.51k 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.

§9 · Hourly return heatmap

24-hour signed Δp grid · green = up · red = down
HOURLY RETURN HEATMAP · n=23 bars · best 0.45% · worst -5.50% · typical |Δ| 0.47%BEARISH SESSION -8.95%BEST+0.45%4hWORST-5.50%2hTYPICAL |Δ|0.47%mean absoluteCUMULATIVE-8.95%Σ signed ΔSTREAK▬ 0flat-runASIA · 00-08 UTCμ -1.24% · Σ -8.70%EUROPE · 08-16 UTCμ -0.03% · Σ -0.25%US · 16-24 UTCμ +0.00% · Σ +0.00%CUMULATIVE Δ PATH · final -8.95%+0.00%-8.95%-1.00% · 1h-1.00% · 1h-1.00%1h-5.50% · 2h-5.50% · 2h-5.50%2h▼ WORST-2.45% · 3h-2.45% · 3h-2.45%3h0.45% · 4h0.45% · 4h0.45%4h★ BEST0.45% · 5h0.45% · 5h0.45%5h-0.55% · 6h-0.55% · 6h-0.55%6h-0.10% · 7h-0.10% · 7h-0.10%7h0.00% · 8h0.00% · 8h·8h0.00% · 9h0.00% · 9h·9h-0.25% · 10h-0.25% · 10h-0.25%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·20h0.00% · 21h0.00% · 21h·21h0.00% · 22h0.00% · 22h·22h0.00% · 23h0.00% · 23h·23hTIME PATTERNUS-led (+0.00%)RUNSup max 2 · down max 3BREADTH9% up · 26% down · 65% flat
2 up bars · 6 down · best 0.45% · worst -5.50% · typical |Δ| 0.467%

§10 · Equity curve & underwater drawdown

Cumulative compounded return + running peak-to-trough
EQUITY & DRAWDOWN ANALYSIS · n=24 barsSEVERE DRAWDOWN -8.74%FINAL-8.74%MAX DD-8.74%RECOVERYONGOING · 23 barsMAX RUN-UP+0.00%UNDERWATER23/24 (96%)STREAK▬ 0EQUITY CURVE · end 0.9126 · peak 1.0000 · range [0.9126, 1.0000]1.00000.9126break-even = 1★ PEAK 1.0000UNDERWATER DRAWDOWN · max -8.74% · significant0%-8.74%▼ TROUGH -8.74%TOP DRAWDOWN PERIODS · 1 total#1 -8.74%bar 2-24 · 23 bars · ONGOINGDD SEVERITYsignificant (max -8.74%)RECOVERYongoing · 23 barsTIME UNDER WATER96% of session · 23/24 bars
final equity 0.9126 (-8.74%) · max DD -8.74% · time-under-water 23/24 bars

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

Rolling annualised Sharpe ratio · green positive · red negative
n=19 · +1 / −9 (5% positive) · μ=-21.54 · σ=27.52UNPROFITABLE STRATEGYLAST 0.00 (+0.78σ vs μ)73.0136.500.00-36.50-73.01μ = -21.54-60.64-60.64-56.45-56.45-34.34-34.3411.1511.15-10.52-10.52-73.01-73.01-59.81-59.81-41.86-41.86-41.86-41.86-41.86-41.860.000.000.000.000.000.000.000.000.000.000.000.000.000.000.000.000.000.00v > 0 · positivev < 0 · negativeμ mean lineμ ± σ bandlatest bar (outlined)
latest 0.000 · range [-73.01, 11.15] · μ -21.536 · positive Sharpe = excess-return-per-risk earned by buying-and-holding through this window
Rolling annualised volatility (%)
n=19 · μ=37.7130 · σ=74.1088 · range [0.0000, 235.8888] · R²=0.502▼ FALLING -100.00%σ EXTREME 196.51%LAST 0.0000235.8888176.9166117.944458.97220.0000μ = 37.7130max 235.8888min 0.0000dataMA(3)OLS R²=0.50μ lineμ ± σ bandmaxmin
latest 0.00% · range [0.00%, 235.89%] · μ 37.71% · σ̂ scaled to annualised (×√8760)
Rolling lag-1 autocorrelation ρ(1)
n=19 · +4 / −6 (21% positive) · μ=-0.066 · σ=0.191MEAN-REVERSIONLAST 0.000 (+0.35σ vs μ)0.4670.2330.000-0.233-0.467μ = -0.0660.1380.1380.3020.302-0.197-0.1970.0250.025-0.434-0.4340.0220.022-0.467-0.467-0.300-0.300-0.300-0.300-0.050-0.0500.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.000v > 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
3 of 6 REJECT · mixed evidence3 reject·3 pass·α = 0.05
𝒩

Jarque-Bera

REJECT H₀***

H₀: Δp ~ Normal(μ, σ²)

STATISTIC
224.1178
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
5.0774
p-VALUE (log scale)
0.4070
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
-5.2744
p-VALUE (log scale)
< 0.0001
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
-1.0801
p-VALUE (log scale)
0.2801
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
0.4555
p-VALUE (log scale)
0.0532
α
10⁻⁴10⁻³10⁻²10⁻¹1
p ≥ α · null retainedstationary not rejected (crit 0.463)
χ

Variance ratio q=2

REJECT H₀*

H₀: Δp is a random walk · VR = 1

STATISTIC
2.3186
p-VALUE (log scale)
0.0204
α
10⁻⁴10⁻³10⁻²10⁻¹1
p < α · rejection zoneVR 1.483 → trending
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=1.57e-4 · top T=23.00h (17.3%) · top-3 cover 48.1%WHITE NOISE · no dominant cyclecumulative energy ↗ (0 bins above 2× noise)3.0e-42.2e-41.5e-47.5e-50.0e+0μ noise floorperiod 23.0 · power 2.98e-4 · 17.3% energyperiod 23.0 · power 2.98e-4 · 17.3% energyperiod 11.5 · power 2.63e-4 · 15.2% energyperiod 11.5 · power 2.63e-4 · 15.2% energyperiod 7.7 · power 2.70e-4 · 15.6% energyperiod 7.7 · power 2.70e-4 · 15.6% energyperiod 5.8 · power 2.45e-4 · 14.2% energyperiod 5.8 · power 2.45e-4 · 14.2% energyperiod 4.6 · power 2.37e-4 · 13.7% energyperiod 4.6 · power 2.37e-4 · 13.7% energyperiod 3.8 · power 1.98e-4 · 11.4% energyperiod 3.8 · power 1.98e-4 · 11.4% energyperiod 3.3 · power 1.00e-4 · 5.8% energyperiod 3.3 · power 1.00e-4 · 5.8% energyperiod 2.9 · power 4.48e-5 · 2.6% energyperiod 2.9 · power 4.48e-5 · 2.6% energyperiod 2.6 · power 2.62e-5 · 1.5% energyperiod 2.6 · power 2.62e-5 · 1.5% energyperiod 2.3 · power 1.64e-5 · 0.9% energyperiod 2.3 · power 1.64e-5 · 0.9% energyperiod 2.1 · power 2.91e-5 · 1.7% energyperiod 2.1 · power 2.91e-5 · 1.7% energy50% by T=5.8h#1 dominantT=23.00h#2T=7.67h#3T=11.50hT=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 ≈ 23.00h (freq 0.043) · concentrates 17.3% of total energy · Σ|X̂|²/n = 1.727e-3

▸ Depth section using sovereign-store price series (2606 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 = 2606✓ n = 2606
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 0.15pp · unique ratio 0.00✓ n = 2606
VaR 95%
0.01pp
1.645·σ (parametric) of Δp
ES 95%
0.01pp
mean of the tail
Max drawdown
83.3pp
peak 0.3¢ → trough 0.1¢
Median step
0.15pp
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
44045591944416410710724267752952155849199599931288401510867088794057811140056
NO token ID
51234313961503110960873216179449962053414444300423570832015378362326178426211
Snapshot fetched
2026-06-14 15:07:15 UTC
Snapshot age
8ms
History points
24 CLOB mids
Page rendered
2026-06-14 15:07:15 UTC
Storage policy
no persistence — fetched on every request
SHA-256 attestation
a3dc14c173344d5bc2c8b3cef042afa1889f2a5cea2d489c0584c9ad9efbaaf4 · deterministic hash of source snapshot
Open data licence
CC0 / public domain

§∞-2 · Related markets · explore more

HL PREDGermany94.6¢HL PREDSpain90.0¢HL PREDUruguay66.7¢POLYMARKETWill Australia win the 2026 FIFA World Cup?0¢POLYMARKETWill Scotland win the 2026 FIFA World Cup?0¢POLYMARKETWill Turkiye win the 2026 FIFA World Cup?1¢HL PERPBTC-USD perpetual$64,092.5HL PERPETH-USD perpetual$1,662.55HL PERPHYPE-USD perpetual$60.41

Also see: /arb opportunities · RSS feed · more in # of views of next MrBeast video on day 1?

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-mrbeasts-next-video-get-between-45-and-50-million-views-on-day-1-20260608161932597/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 · 2,606 barsperiods/year ≈ 1.75M
Realized vol (annualised)
3746.37%
σ per bar = 0.028296
Mean return (annualised)
-120567.73%
μ per bar = -0.000688
Sharpe (rf=0)
-32.18
annualised; risk-free assumed zero
Max drawdown
83.33%
peak 0.00 → trough 0.00 over 343 bars

/api/asset/pm-will-mrbeasts-next-video-get-between-45-and-50-million-views-on-day-1-20260608161932597/risk · same metrics, JSON