POLYMARKET · PREDICTION MARKET · ELON MUSK # TWEETS JUNE 13 - JUNE 15, 2026?

Will Elon Musk post <40 tweets from June 13 to June 15, 2026?

YES · live
67.5¢
NO · live
32.5¢

▸ Advanced metrics · M2M bundle

polymarket · elon-musk-of-tweets-june-13-june-15-0-39 · fresh · feed 0s old
24h sparkline · 60 pts▲ 75.32%
realized vol (ann.)
714.65%
max drawdown
24.11%
sharpe
—
ulcer index
6.61%
RMS drawdown
pain index
4.50%
mean drawdown
mod. VaR 95%
0.00%
Cornish-Fisher
martin ratio
—
ret / ulcer
CDaR 95%
16.39%
cond. drawdown
gain/pain
0.95
Σgain / Σ|loss|
sterling
—
ret / CDaR
omega (θ=0)
0.95
upside/downside
roll spread
0.3 bps
implied (price-only)
bars used
2000
store
spread
—
24h Δ
75.32%
flow lean
—
carry
flat
signalNEUTRALconfidence 25%
  • 24h change +75.32%
Same bundle via M2M API: /api/m2m/pm-elon-musk-of-tweets-june-13-june-15-0-39/bundle · venue execution: polymarket →
LIVEPOLL0SRCFRESH6ms⏱--:--:-- 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
67.5¢
NO · live
32.5¢
YES price · live 24h
n=25 · μ=0.5498 · σ=0.1671 · range [0.2050, 0.7450] · R²=0.820▲ RISING +229.27%σ EXTREME 30.39%LAST 0.67500.74500.61000.47500.34000.2050μ = 0.5498max 0.7450min 0.2050dataMA(5)OLS R²=0.82μ lineμ ± σ bandmaxminlive endpoint
25 ticks · last 67.50¢
YES / NO split · live
YES 67.5%NO 32.5%YES67.5%67.50¢ · odds 1/1.48
Σ 100.00% · fair
Σ-sides total = 100.00% (tight rounding)
H(p) entropy = 0.910 / 1.00 bits (91%) · high uncertainty
YES
67.5%67.5¢1.48×▬ +0.00pp
NO
32.5%32.5¢3.08×▬ +0.00pp
Σ 100.00% · arb gap 0.00pp
Per-tick activity · |Δp| in basis points · live
n=24 · Σ=7,600 · μ=316.7 · σ=315.1 · CV=0.99BURSTYcumulative energy ↗ · 50% by h=1003256509751,300μ = 3171,30050%h1h5h9h13h17h21#1 peak#2-3> μactivequietμ linecum energy
Σ 7600bp moved · peak 1300bp · n=24 ticks
Live numerics · pulse on poll
LIVE NUMERICS8 metrics·POLL 0
⏱snapshot age
6ms
▲YES mid
67.50¢ (67.50%)
▼NO mid
32.50¢ (32.50%)
ΣΣ sides
100.00%
⚖arb gap
0.000pp
$24h vol $
$60.2k
≋liquidity $
$7.3k
◳history points
25 ticks (live)

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

YES price · CLOB mid
n=25 · μ=0.5498 · σ=0.1671 · range [0.2050, 0.7450] · R²=0.820▲ RISING +229.27%σ EXTREME 30.39%LAST 0.67500.74500.61000.47500.34000.2050μ = 0.5498max 0.7450min 0.2050dataMA(5)OLS R²=0.82μ lineμ ± σ bandmaxmin
25 YES observations from clob.polymarket.com · last 67.50¢
NO price · CLOB mid
n=25 · μ=0.4502 · σ=0.1671 · range [0.2550, 0.7950] · R²=0.820▼ FALLING -59.12%σ EXTREME 37.11%LAST 0.32500.79500.66000.52500.39000.2550μ = 0.4502max 0.7950min 0.2550dataMA(5)OLS R²=0.82μ lineμ ± σ bandmaxmin
25 NO observations from clob.polymarket.com · last 32.50¢

§2 · Distribution of Δp

Histogram of hourly increments
n=24 · 10 bins · μ=0.0208 · σ=0.0394 · skew=0.14 (symmetric) · kurt=0.58 (mesokurtic)754202-6.00ppbin -6.00pp · n=2 · 28.6% peakbin -6.00pp · n=2 · 28.6% peak-4.00pp1-2.00ppbin -2.00pp · n=1 · 14.3% peakbin -2.00pp · n=1 · 14.3% peak70.00ppbin 0.00pp · n=7 · 100.0% peakbin 0.00pp · n=7 · 100.0% peak52.00ppbin 2.00pp · n=5 · 71.4% peakbin 2.00pp · n=5 · 71.4% peak44.00ppbin 4.00pp · n=4 · 57.1% peakbin 4.00pp · n=4 · 57.1% peak36.00ppbin 6.00pp · n=3 · 42.9% peakbin 6.00pp · n=3 · 42.9% peak18.00ppbin 8.00pp · n=1 · 14.3% peakbin 8.00pp · n=1 · 14.3% peak10.00pp112.00ppbin 12.00pp · n=1 · 14.3% peakbin 12.00pp · n=1 · 14.3% 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=0.21 · kurt=1.49 · near 18 / mid 6 / far 0 · OLS slope=0.98 intercept=-0.00APPROXIMATELY NORMALUPPER 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=25LEFT-SKEWED (G₁=-0.69)
μ MEAN54.98¢95% CI: [48.43¢, 61.53¢]
σ STD DEV16.71ppσ² = 279.135 · CV = 30.39%
med MEDIAN64.00¢Q₁ 40.50¢ · Q₃ 67.50¢
FIVE-NUMBER SUMMARY · BOX PLOTrange 54.00pp · IQR 27.00pp (1.349σ→22.54pp)
min 20.50¢Q₁ 40.50¢med 64.00¢Q₃ 67.50¢max 74.50¢μ
SKEWNESS · G₁-0.691left-skewed
−3−10+1+3
EXCESS KURTOSIS · G₂-1.123platykurtic · thin tails
−30+2+4+6
μ ↔ medianμ < med · left-tailed|μ−med| / σ = 0.54
σ × 1.349 ↔ IQRconsistent with normalratio = 0.83
range ↔ σconcentrated (range < 4σ)range / σ = 3.23
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: INDETERMINATE · weak signal at n=24
ρ(1) AUTOCORR-0.094within white-noise band
ρ(2) AUTOCORR+0.286lag-2 not significant
H · HURST EXPONENT0.922strongly persistent
OLS TREND · t-STAT+10.229significant @ α=0.05
HURST EXPONENT [0, 1]strongly persistent · H = 0.922
H = 0.922STRONGLY 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=1-0.094k=2+0.286k=3-0.060k=4+0.124k=5-0.0310+1−1+0.41−0.41+ momentum (ρ > +0.41)− reversal (ρ < −0.41)noise (within band)±2/√n threshold
OLS TREND · t-STAT · [-5, +5]SIGNIFICANT @ 1% (|t|=10.23)
−5 reject−1.960 retain H₀+1.96+5 reject
REGIME CLASSIFICATIONINDETERMINATE · weak signal at n=24from Hurst + ρ(1) joint diagnosis
PREDICTABILITY · score 0.94very high · strong structure|ρ(1)| + 2·|H − 0.5| heuristic
TREND SIGNIFICANCESIGNIFICANT @ 1% (|t|=10.23)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 ID2506601
SLUGelon-musk-of-tweets-june-13-june-15-0-39
CATEGORYElon Musk # tweets June 13 - June 15, 2026?
TWO-SIDED PRICINGFAVOURS YES (68¢)
PRIMARY · YES67.50¢implied prob 67.50% · decimal odds 1.48×
COUNTER · NO32.50¢implied prob 32.50% · decimal odds 3.08×
67.50¢
32.50¢
Σ-SIDES ARBITRAGE TESTPERFECT · ARB-FREE Σ=100.00%
0%50%100% · target110%
Σ = 100.00% · |1 − Σ| = 0.000pp
24H ACTIVITY · LIQUIDITYACTIVE
24H VOLUME60.18k USD 24h
LIQUIDITY7.33k USD
MARKET QUALITYPERFECT · ARB-FREE Σ=100.00%|1−Σ| ≤ 0.5pp ⇒ fair · > 2pp ⇒ inefficient
PRICING SKEWFAVOURS YES (68¢)|primary − counter| = 0.350 · entropy 0.910 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 67.5%NO 32.5%YES p̂67.5%H = 0.910 / 1.00 bits
Probability scale (YES)
0%25%50%
fair75%100%
Implied decimal odds
YES1.48×(68¢)NO3.08×(33¢)
Kelly bet-size (% of bankroll) K* = 0.00%
K* full
0.00%
½K half
0.00%
¼K quarter
0.00%
Entropy H(p̂) = 0.910 bits (91% of max) · high uncertainty
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 · HIGHresolves 2026-06-15 16:00 UTC
0days
22hrs
57min
23.0 hours·θ = 81.849 pp/day
YES →$1.00(P = 67.5%)
NO →$0.00(P = 32.5%)
current: $0.6750 · expected return per side: $0.32 on YES hit · $0.68 on NO hit
0%25%50%75%100%YES $1NO $0NOW+11.5hRESOLVESP projection · σ=16.71% · path funnel to settle at YES=1 or NO=0
Theta progression · θ ∝ σ / √t_remainingθ_now = 81.849 pp/day
now22.96h left
81.849 pp/day×1.00
−25%17.22h left
94.511 pp/day×1.15
−50%11.48h left
115.752 pp/day×1.41
−75%5.74h left
163.698 pp/day×2.00
−90%2.30h left
258.829 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=24 bars · best 13.00% · worst -7.00% · typical |Δ| 3.17%BULLISH SESSION +47.00%BEST+13.00%9hWORST-7.00%23hTYPICAL |Δ|3.17%mean absoluteCUMULATIVE+47.00%Σ signed ΔSTREAK▬ 0flat-runASIA · 00-08 UTCμ +3.43% · Σ +24.00%EUROPE · 08-16 UTCμ +2.38% · Σ +19.00%US · 16-24 UTCμ +0.50% · Σ +4.00%CUMULATIVE Δ PATH · final +47.00%+54.00%0.00%5.00% · 1h5.00% · 1h5.00%1h5.00% · 2h5.00% · 2h5.00%2h0.00% · 3h0.00% · 3h·3h4.00% · 4h4.00% · 4h4.00%4h5.50% · 5h5.50% · 5h5.50%5h0.50% · 6h0.50% · 6h0.50%6h4.00% · 7h4.00% · 7h4.00%7h0.00% · 8h0.00% · 8h·8h13.00% · 9h13.00% · 9h13.00%9h★ BEST2.00% · 10h2.00% · 10h2.00%10h7.00% · 11h7.00% · 11h7.00%11h-1.00% · 12h-1.00% · 12h-1.00%12h4.00% · 13h4.00% · 13h4.00%13h0.00% · 14h0.00% · 14h·14h-6.00% · 15h-6.00% · 15h-6.00%15h1.00% · 16h1.00% · 16h1.00%16h-0.50% · 17h-0.50% · 17h-0.50%17h2.50% · 18h2.50% · 18h2.50%18h1.50% · 19h1.50% · 19h1.50%19h1.50% · 20h1.50% · 20h1.50%20h0.50% · 21h0.50% · 21h0.50%21h4.50% · 22h4.50% · 22h4.50%22h-7.00% · 23h-7.00% · 23h-7.00%23h▼ WORST0.00% · 24h0.00% · 24h·24hTIME PATTERNAsia-led (+24.00%)RUNSup max 5 · down max 1BREADTH67% up · 17% down · 17% flat
16 up bars · 4 down · best 13.00% · worst -7.00% · typical |Δ| 3.167%

§10 · Equity curve & underwater drawdown

Cumulative compounded return + running peak-to-trough
EQUITY & DRAWDOWN ANALYSIS · n=25 barsPROFITABLE +56.42%FINAL+56.42%MAX DD-7.00%RECOVERYONGOING · 2 barsMAX RUN-UP+68.19%UNDERWATER9/25 (36%)STREAK▬ 0EQUITY CURVE · end 1.5642 · peak 1.6819 · range [1.0000, 1.6819]1.68191.0000break-even = 1★ PEAK 1.6819UNDERWATER DRAWDOWN · max -7.00% · significant0%-7.00%▼ TROUGH -7.00%TOP DRAWDOWN PERIODS · 3 total#1 -7.00%bar 24-25 · 2 bars · ONGOING#2 -6.00%bar 16-21 · 6 bars · recovered#3 -1.00%bar 13-13 · 1 bars · recoveredDD SEVERITYsignificant (max -7.00%)RECOVERYongoing · 2 barsTIME UNDER WATER36% of session · 9/25 bars
final equity 1.5642 (56.42%) · max DD -7.00% · time-under-water 9/25 bars

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

Rolling annualised Sharpe ratio · green positive · red negative
n=19 · +16 / −2 (84% positive) · μ=55.54 · σ=46.93PROFITABLE STRATEGYLAST 4.06 (-1.10σ vs μ)127.7263.860.00-63.86-127.72μ = 55.54127.72127.72126.76126.7689.4189.4189.8089.8081.2081.2083.9683.9675.1075.1075.1075.1075.1075.1020.9320.9317.5417.54-11.95-11.954.534.53-7.77-7.770.000.0099.3599.3590.5790.5713.8013.804.064.06v > 0 · positivev < 0 · negativeμ mean lineμ ± σ bandlatest bar (outlined)
latest 4.059 · range [-11.95, 127.72] · μ 55.536 · positive Sharpe = excess-return-per-risk earned by buying-and-holding through this window
Rolling annualised volatility (%)
n=19 · μ=342.3390 · σ=118.3538 · range [95.5249, 486.0329] · R²=0.046▲ RISING +57.32%σ EXTREME 34.57%LAST 359.6610486.0329388.4059290.7789193.151995.5249μ = 342.3390max 486.0329min 95.5249dataMA(3)OLS R²=0.05μ lineμ ± σ bandmaxmin
latest 359.66% · range [95.52%, 486.03%] · μ 342.34% · σ̂ scaled to annualised (×√8760)
Rolling lag-1 autocorrelation ρ(1)
n=19 · +0 / −19 (0% positive) · μ=-0.320 · σ=0.170MEAN-REVERSIONLAST -0.355 (-0.20σ vs μ)0.5640.2820.000-0.282-0.564μ = -0.320-0.325-0.325-0.547-0.547-0.381-0.381-0.350-0.350-0.516-0.516-0.507-0.507-0.564-0.564-0.563-0.563-0.285-0.285-0.080-0.080-0.154-0.154-0.208-0.208-0.116-0.116-0.106-0.106-0.036-0.036-0.305-0.305-0.339-0.339-0.352-0.352-0.355-0.355v > 0 · positivev < 0 · negativeμ mean lineμ ± σ bandlatest bar (outlined)
latest -0.355 · |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

FAIL TO REJECTns

H₀: Δp ~ Normal(μ, σ²)

STATISTIC
4.8241
p-VALUE (log scale)
0.0896
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
3.1715
p-VALUE (log scale)
0.6762
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
-2.4471
p-VALUE (log scale)
0.1362
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
0.4449
p-VALUE (log scale)
0.6564
α
10⁻⁴10⁻³10⁻²10⁻¹1
p ≥ α · null retainedsigns appear random (8 runs)
χ

KPSS (μ stationarity)

REJECT H₀**

H₀: p IS level-stationary

STATISTIC
0.8138
p-VALUE (log scale)
0.0066
α
10⁻⁴10⁻³10⁻²10⁻¹1
p < α · rejection zonenon-stationary (crit 0.463)
χ

Variance ratio q=3

FAIL TO REJECTns

H₀: Δp is a random walk · VR = 1

STATISTIC
0.0045
p-VALUE (log scale)
0.9964
α
10⁻⁴10⁻³10⁻²10⁻¹1
p ≥ α · null retainedVR 1.001 ≈ 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=1.58e-3 · top T=2.18h (28.2%) · top-3 cover 62.7%2 SIGNIFICANT CYCLEScumulative energy ↗ (2 bins above 2× noise)5.3e-34.0e-32.7e-31.3e-30.0e+0μ noise floor2× noise (significance)period 24.0 · power 2.93e-3 · 15.5% energyperiod 24.0 · power 2.93e-3 · 15.5% energyperiod 12.0 · power 7.94e-4 · 4.2% energyperiod 12.0 · power 7.94e-4 · 4.2% energyperiod 8.0 · power 2.51e-3 · 13.3% energyperiod 8.0 · power 2.51e-3 · 13.3% energyperiod 6.0 · power 1.57e-4 · 0.8% energyperiod 6.0 · power 1.57e-4 · 0.8% energyperiod 4.8 · power 1.79e-5 · 0.1% energyperiod 4.8 · power 1.79e-5 · 0.1% energyperiod 4.0 · power 3.60e-3 · 19.0% energyperiod 4.0 · power 3.60e-3 · 19.0% energyperiod 3.4 · power 3.91e-4 · 2.1% energyperiod 3.4 · power 3.91e-4 · 2.1% energyperiod 3.0 · power 1.01e-3 · 5.3% energyperiod 3.0 · power 1.01e-3 · 5.3% energyperiod 2.7 · power 7.77e-4 · 4.1% energyperiod 2.7 · power 7.77e-4 · 4.1% energyperiod 2.4 · power 1.20e-3 · 6.3% energyperiod 2.4 · power 1.20e-3 · 6.3% energyperiod 2.2 · power 5.34e-3 · 28.2% energyperiod 2.2 · power 5.34e-3 · 28.2% energyperiod 2.0 · power 2.04e-4 · 1.1% energyperiod 2.0 · power 2.04e-4 · 1.1% energy50% by T=4.0h#1 dominantT=2.18h#2T=4.00h#3T=24.00hT=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 ≈ 2.18h (freq 0.458) · concentrates 28.2% of total energy · Σ|X̂|²/n = 1.895e-2

▸ Depth section using sovereign-store price series (3578 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 1.0 d · σ/bar 0.455pp · expected |Δp| over horizon 2.18ppterminal variance p(1−p) = 0.2194 · n = 3578✓ n = 3578
μ per bar
+0.008pp
average Δp · drift
σ per bar
0.455pp
one-bar volatility · logit-free
Per-day movedaily
2.23pp
σ × √24
Per-horizon move1d
2.18pp
σ × √22.955940833333333
Terminal variancebinary
0.2194
p(1−p) at resolution
Current pricep
67.5¢
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 0.74pp · ES₉₅ 0.93pp · method parametric · drift-correcteddrift +0.008pp/bar · quantised: yes · median step 0.50pp · unique ratio 0.01✓ n = 3578
VaR 95%
0.74pp
1.645·σ (parametric) of Δp
ES 95%
0.93pp
mean of the tail
Max drawdown
24.1pp
peak 70.5¢ → trough 53.5¢
Median step
0.50pp
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
67.5%
= price
Decimal oddsEU
1.481
total return per $1
AmericanUS
-208
risk $208 to win $100
FractionalUK
0.48 / 1
profit per $1 risked
Profit per $100stake
+$48.15
clean dollar framing
-1000-5000+500+1000020406080100you · 67.5%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)
0.910 bit
max 1.0 at p = 0.5
Your entropyH(q)
0.910 bit
Δ +0.000 bit vs market
Surprise · YES−log₂ p
0.57 bit
self-information
Surprise · NO−log₂(1−p)
1.62 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
40354975981462802199415680172417081676580974035558909979490888389372227834435
NO token ID
36628705721402353201997345801805751020353504446095245772875504624499483625157
Snapshot fetched
2026-06-14 17:02:38 UTC
Snapshot age
6ms
History points
25 CLOB mids
Page rendered
2026-06-14 17:02:38 UTC
Storage policy
no persistence — fetched on every request
SHA-256 attestation
b7abff838c47d399c3c53af4eefdf91e97b6b6060799e6725996a1938edffcaa · deterministic hash of source snapshot
Open data licence
CC0 / public domain

§∞-2 · Related markets · explore more

HL PREDGermany93.3¢HL PREDSpain89.5¢HL PREDUruguay66.9¢POLYMARKETWill Australia win the 2026 FIFA World Cup?0¢POLYMARKETWill Scotland win the 2026 FIFA World Cup?0¢POLYMARKETWill Curaçao win on 2026-06-14?3¢HL PERPBTC-USD perpetual$63,927HL PERPETH-USD perpetual$1,661.7HL PERPHYPE-USD perpetual$60.09

Also see: /arb opportunities · RSS feed · more in Elon Musk # tweets June 13 - June 15, 2026?

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
0.675000
(best bid + best ask) / 2
Spread
148.1bp
(bestAsk − bestBid) / mid
Imbalance (whole book)
+0.142
bid-heavy
Imbalance (top-5)
-0.631
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-elon-musk-of-tweets-june-13-june-15-0-39/slippage?size=10000&side=buy

SideNotionalAvg fillSlippageWorst fillLevelsStatus
BUY$1.00K0.688911206.09bp0.7000003FILLED
BUY$10.00K0.8029671895.81bp0.99000024FILLED
BUY$100.00K0.8304952303.62bp0.99000024PARTIAL
SELL$1.00K0.618234840.98bp0.56000011FILLED
SELL$10.00K0.2952625625.74bp0.01000060PARTIAL
SELL$100.00K0.2952625625.74bp0.01000060PARTIAL

Risk metrics

▸ sovereign store · 3,578 barsperiods/year ≈ 1.75M
Realized vol (annualised)
980.54%
σ per bar = 0.007406
Mean return (annualised)
27514.79%
μ per bar = 0.000157
Sharpe (rf=0)
28.06
annualised; risk-free assumed zero
Max drawdown
24.11%
peak 0.70 → trough 0.54 over 81 bars

/api/asset/pm-elon-musk-of-tweets-june-13-june-15-0-39/risk · same metrics, JSON