POLYMARKET · PREDICTION MARKET · CRYPTO

Will Bitcoin reach $64,000 on June 20?

YES · live
55.5¢
NO · live
44.5¢

▸ Advanced metrics · M2M bundle

polymarket · will-bitcoin-reach-64k-on-june-20 · fresh · feed 10s old
24h sparkline · 60 pts
realized vol (ann.)
1303.53%
max drawdown
56.85%
sharpe
ulcer index
32.31%
RMS drawdown
pain index
27.54%
mean drawdown
mod. VaR 95%
0.77%
Cornish-Fisher
martin ratio
ret / ulcer
CDaR 95%
55.95%
cond. drawdown
gain/pain
1.01
Σgain / Σ|loss|
sterling
ret / CDaR
omega (θ=0)
1.01
upside/downside
roll spread
0.4 bps
implied (price-only)
bars used
889
store
spread
24h Δ
flow lean
carry
flat
signalNEUTRALconfidence 20%
Same bundle via M2M API: /api/m2m/pm-will-bitcoin-reach-64k-on-june-20/bundle · venue execution: polymarket
LIVEPOLL0SRCFRESH9.7s--:--:-- 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
55.5¢
NO · live
44.5¢
YES price · live 24h
n=8 · μ=0.5362 · σ=0.1166 · range [0.3200, 0.6550] · R²=0.008 RISING +31.71%σ EXTREME 21.74%LAST 0.54000.65500.57130.48750.40370.3200μ = 0.5362max 0.6550min 0.3200dataMA(2)OLS R²=0.01μ lineμ ± σ bandmaxminlive endpoint
8 ticks · last 54.00¢
YES / NO split · live
YES 55.5%NO 44.5%YES55.5%55.50¢ · odds 1/1.80
Σ 100.00% · fair
Σ-sides total = 100.00% (tight rounding)
H(p) entropy = 0.991 / 1.00 bits (99%) · max uncertainty (~50/50)
YES
55.5%55.5¢1.80× +0.00pp
NO
44.5%44.5¢2.25× +0.00pp
Σ 100.00% · arb gap 0.00pp
Per-tick activity · |Δp| in basis points · live
n=7 · Σ=10,200 · μ=1457.1 · σ=1179.1 · CV=0.81BURSTYcumulative energy ↗ · 50% by h=408251,6502,4753,300μ = 14573,30050%h1h2h3h4h5h6h7#1 peak#2-3> μactivequietμ linecum energy
Σ 10200bp moved · peak 3300bp · n=7 ticks
Live numerics · pulse on poll
LIVE NUMERICS8 metrics·POLL 0
snapshot age
9.7s
YES mid
55.50¢ (55.50%)
NO mid
44.50¢ (44.50%)
ΣΣ sides
100.00%
arb gap
0.000pp
$24h vol $
$38.3k
liquidity $
$9.6k
history points
8 ticks (live)

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

YES price · CLOB mid
n=8 · μ=0.5362 · σ=0.1166 · range [0.3200, 0.6550] · R²=0.008 RISING +31.71%σ EXTREME 21.74%LAST 0.54000.65500.57130.48750.40370.3200μ = 0.5362max 0.6550min 0.3200dataMA(2)OLS R²=0.01μ lineμ ± σ bandmaxmin
8 YES observations from clob.polymarket.com · last 54.00¢
NO price · CLOB mid
n=8 · μ=0.4656 · σ=0.1166 · range [0.3450, 0.6800] · R²=0.004 FALLING -19.49%σ EXTREME 25.05%LAST 0.47500.68000.59630.51250.42870.3450μ = 0.4656max 0.6800min 0.3450dataMA(2)OLS R²=0.00μ lineμ ± σ bandmaxmin
8 NO observations from clob.polymarket.com · last 47.50¢

§2 · Distribution of Δp

Histogram of hourly increments
n=7 · 10 bins · μ=0.0224 · σ=0.1660 · skew=0.21 (symmetric) · kurt=-0.91 (mesokurtic)111001-23.05ppbin -23.05pp · n=1 · 100.0% peakbin -23.05pp · n=1 · 100.0% peak-17.15pp1-11.25ppbin -11.25pp · n=1 · 100.0% peakbin -11.25pp · n=1 · 100.0% peak1-5.35ppbin -5.35pp · n=1 · 100.0% peakbin -5.35pp · n=1 · 100.0% peak10.55ppbin 0.55pp · n=1 · 100.0% peakbin 0.55pp · n=1 · 100.0% peak16.45ppbin 6.45pp · n=1 · 100.0% peakbin 6.45pp · n=1 · 100.0% peak12.35pp118.25ppbin 18.25pp · n=1 · 100.0% peakbin 18.25pp · n=1 · 100.0% peak24.15pp130.05ppbin 30.05pp · n=1 · 100.0% peakbin 30.05pp · n=1 · 100.0% peakμΔ < 0 · loss barsΔ ≈ 0 · flatΔ > 0 · gain barsN(μ,σ²) referenceμ line · ±σ band shaded
n=7

§3 · Sample moments

Descriptive statistics · 5-number summary · shape diagnostics
SAMPLE MOMENTS · N=8LEFT-SKEWED (G₁=-0.69)
μ MEAN53.63¢95% CI: [45.55¢, 61.70¢]
σ STD DEV11.66ppσ² = 135.911 · CV = 21.74%
med MEDIAN56.00¢Q₁ 50.75¢ · Q₃ 60.88¢
FIVE-NUMBER SUMMARY · BOX PLOT
min 32.00¢Q₁ 50.75¢med 56.00¢Q₃ 60.88¢max 65.50¢μ
SKEWNESS · G₁-0.686left-skewed
−3−10+1+3
EXCESS KURTOSIS · G₂-1.090platykurtic · thin tails
−30+2+4+6
μ ↔ medianμ < med · left-tailed|μ−med| / σ = 0.20
σ × 1.349 ↔ IQRdiverges from normalratio = 1.55
range ↔ σconcentrated (range < 4σ)range / σ = 2.87
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) -0.42 + ADF rejected
ρ(1) AUTOCORR-0.415within white-noise band
ρ(2) AUTOCORR-0.114lag-2 not significant
H · HURST EXPONENT0.500random-walk
OLS TREND · t-STAT+0.221fails 5% test
HURST EXPONENT [0, 1]
H = 0.500RANDOM-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=1-0.415k=2-0.114k=3-0.071k=4+0.210k=5-0.0970+1−1+0.760.76+ momentum (ρ > +0.76)− reversal (ρ < −0.76)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) -0.42 + ADF rejectedfrom Hurst + ρ(1) joint diagnosis
PREDICTABILITY · score 0.42high · clear structure|ρ(1)| + 2·|H − 0.5| heuristic
TREND SIGNIFICANCENOT SIGNIFICANT (|t|=0.22)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 ID2614992
SLUGwill-bitcoin-reach-64k-on-june-20
CATEGORYCrypto
TWO-SIDED PRICING
PRIMARY · YES55.50¢implied prob 55.50% · decimal odds 1.80×
COUNTER · NO44.50¢implied prob 44.50% · decimal odds 2.25×
55.50¢
44.50¢
Σ-SIDES ARBITRAGE TEST
0%50%100% · target110%
Σ = 100.00% · |1 − Σ| = 0.000pp
24H ACTIVITY · LIQUIDITY
24H VOLUME38.30k USD 24h
LIQUIDITY9.62k USD
MARKET QUALITYPERFECT · ARB-FREE Σ=100.00%|1−Σ| ≤ 0.5pp ⇒ fair · > 2pp ⇒ inefficient
PRICING SKEWFAVOURS YES (56¢)|primary − counter| = 0.110 · entropy 0.991 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 55.5%NO 44.5%YES55.5%H = 0.991 / 1.00 bits
Probability scale (YES)
0%25%50%
fair
75%100%
Implied decimal odds
YES1.80×(56¢)NO2.25×(45¢)
Kelly bet-size (% of bankroll) K* = 0.00%
K* full
0.00%
½K half
0.00%
¼K quarter
0.00%
Entropy H(p̂) = 0.991 bits (99% of max) · maximum uncertainty (~50/50)
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 2026-06-21 04:00 UTC
0days
16hrs
24min
YES$1.00(P = 55.5%)
NO$0.00(P = 44.5%)
current: $0.5550 · expected return per side: $0.44 on YES hit · $0.56 on NO hit
0%25%50%75%100%YES $1NO $0NOW+8.2hRESOLVESP projection · σ=11.66% · path funnel to settle at YES=1 or NO=0
Theta progression · θ ∝ σ / √t_remainingθ_now = 57.113 pp/day
now16.41h left
57.113 pp/day×1.00
−25%12.31h left
65.948 pp/day×1.15
−50%8.20h left
80.770 pp/day×1.41
−75%4.10h left
114.225 pp/day×2.00
−90%1.64h left
180.606 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.

▸ Depth section using sovereign-store price series (889 bars · effective 1752713 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 0.7 d · σ/bar 0.985pp · expected |Δp| over horizon 3.99ppterminal variance p(1−p) = 0.2470 · n = 889n = 889
μ per bar
+0.001pp
average Δp · drift
σ per bar
0.985pp
one-bar volatility · logit-free
Per-day movedaily
4.83pp
σ × √24
Per-horizon move1d
3.99pp
σ × √16.409907500000003
Terminal variancebinary
0.2470
p(1−p) at resolution
Current pricep
55.5¢
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 1.62pp · ES₉₅ 2.03pp · method parametric · drift-correcteddrift +0.001pp/bar · quantised: yes · median step 1.00pp · unique ratio 0.04n = 889
VaR 95%
1.62pp
1.645·σ (parametric) of Δp
ES 95%
2.03pp
mean of the tail
Max drawdown
56.8pp
peak 73.0¢ → trough 31.5¢
Median step
1.00pp
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
55.5%
= price
Decimal oddsEU
1.802
total return per $1
AmericanUS
-125
risk $125 to win $100
FractionalUK
0.80 / 1
profit per $1 risked
Profit per $100stake
+$80.18
clean dollar framing
-1000-5000+500+1000020406080100you · 55.5%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)
0.991 bit
max 1.0 at p = 0.5
Your entropyH(q)
0.991 bit
Δ +0.000 bit vs market
Surprise · YES−log₂ p
0.85 bit
self-information
Surprise · NO−log₂(1−p)
1.17 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
102451138161390475471644696178951679721104653210401054662305470424222106924961
NO token ID
72421892323044463922396377368453304573537996004274484711582025706353037774644
Snapshot fetched
2026-06-20 11:35:14 UTC
Snapshot age
9.7s
History points
8 CLOB mids
Page rendered
2026-06-20 11:35:24 UTC
Storage policy
no persistence — fetched on every request
SHA-256 attestation
54731d0845974a75b5e6a0ce17b2313f8d298aca02ab6319972d67b931cabf2e · 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
0.525000
(best bid + best ask) / 2
Spread
571.4bp
(bestAsk − bestBid) / mid
Imbalance (whole book)
+0.003
bid-heavy
Imbalance (top-5)
+0.127
bid-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-64k-on-june-20/slippage?size=10000&side=buy

SideNotionalAvg fillSlippageWorst fillLevelsStatus
BUY$1.00K0.556937608.32bp0.5600003FILLED
BUY$10.00K0.6797212947.08bp0.94000015FILLED
BUY$100.00K0.8397215994.68bp0.99000018PARTIAL
SELL$1.00K0.510000285.71bp0.5100001FILLED
SELL$10.00K0.1779986609.57bp0.01000021PARTIAL
SELL$100.00K0.1779986609.57bp0.01000021PARTIAL

Risk metrics

sovereign store · 889 barsperiods/year ≈ 1.75M
Realized vol (annualised)
2427.18%
σ per bar = 0.018334
Mean return (annualised)
3588.78%
μ per bar = 0.000020
Sharpe (rf=0)
1.48
annualised; risk-free assumed zero
Max drawdown
56.85%
peak 0.73 → trough 0.32 over 297 bars

/api/asset/pm-will-bitcoin-reach-64k-on-june-20/risk · same metrics, JSON