POLYMARKET · PREDICTION MARKET · CRYPTO

Will Bitcoin reach $65,000 on June 20?

YES · live
5.3¢
NO · live
94.7¢

▸ Advanced metrics · M2M bundle

polymarket · will-bitcoin-reach-65k-on-june-20 · fresh · feed 6s old
24h sparkline · 60 pts
realized vol (ann.)
114.31%
max drawdown
28.10%
sharpe
ulcer index
12.39%
RMS drawdown
pain index
6.43%
mean drawdown
mod. VaR 95%
0.00%
Cornish-Fisher
martin ratio
ret / ulcer
CDaR 95%
26.90%
cond. drawdown
gain/pain
0.59
Σgain / Σ|loss|
sterling
ret / CDaR
omega (θ=0)
0.59
upside/downside
roll spread
7.1 bps
implied (price-only)
bars used
349
store
spread
24h Δ
flow lean
carry
flat
signalNEUTRALconfidence 20%
Same bundle via M2M API: /api/m2m/pm-will-bitcoin-reach-65k-on-june-20/bundle · venue execution: polymarket
LIVEPOLL0SRCFRESH5.9s--:--:-- 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
5.3¢
NO · live
94.7¢
YES price · live 24h
n=8 · μ=0.0389 · σ=0.0165 · range [0.0165, 0.0615] · R²=0.394 RISING +41.82%σ EXTREME 42.40%LAST 0.03900.06150.05030.03900.02770.0165μ = 0.0389max 0.0615min 0.0165dataMA(2)OLS R²=0.39μ lineμ ± σ bandmaxminlive endpoint
8 ticks · last 3.90¢
YES / NO split · live
YES 5.3%NO 94.7%NO94.7%94.65¢ · odds 1/1.06
Σ 100.00% · fair
Σ-sides total = 100.00% (tight rounding)
H(p) entropy = 0.301 / 1.00 bits (30%) · informative — one side favoured
YES
5.3%5.3¢18.69× +0.00pp
NO
94.7%94.7¢1.06× +0.00pp
Σ 100.00% · arb gap 0.00pp
Per-tick activity · |Δp| in basis points · live
n=7 · Σ=1,245 · μ=177.9 · σ=115.4 · CV=0.65RISING +100% h/hcumulative energy ↗ · 50% by h=4094188281375μ = 17837550%h1h2h3h4h5h6h7#1 peak#2-3> μactivequietμ linecum energy
Σ 1245bp moved · peak 375bp · n=7 ticks
Live numerics · pulse on poll
LIVE NUMERICS8 metrics·POLL 0
snapshot age
5.9s
YES mid
5.35¢ (5.35%)
NO mid
94.65¢ (94.65%)
ΣΣ sides
100.00%
arb gap
0.000pp
$24h vol $
$18.0k
liquidity $
$6.0k
history points
8 ticks (live)

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

YES price · CLOB mid
n=8 · μ=0.0389 · σ=0.0165 · range [0.0165, 0.0615] · R²=0.394 RISING +41.82%σ EXTREME 42.40%LAST 0.03900.06150.05030.03900.02770.0165μ = 0.0389max 0.0615min 0.0165dataMA(2)OLS R²=0.39μ lineμ ± σ bandmaxmin
8 YES observations from clob.polymarket.com · last 3.90¢
NO price · CLOB mid
n=8 · μ=0.9611 · σ=0.0165 · range [0.9385, 0.9835] · R²=0.386 FALLING -1.13%σ NORMAL 1.72%LAST 0.96150.98350.97230.96100.94970.9385μ = 0.9611max 0.9835min 0.9385dataMA(2)OLS R²=0.39μ lineμ ± σ bandmaxmin
8 NO observations from clob.polymarket.com · last 96.15¢

§2 · Distribution of Δp

Histogram of hourly increments
n=7 · 10 bins · μ=0.0008 · σ=0.0191 · skew=0.45 (symmetric) · kurt=-1.09 (platykurtic (thin tails))221102-2.00ppbin -2.00pp · n=2 · 100.0% peakbin -2.00pp · n=2 · 100.0% peak1-1.39ppbin -1.39pp · n=1 · 50.0% peakbin -1.39pp · n=1 · 50.0% peak-0.79pp1-0.18ppbin -0.18pp · n=1 · 50.0% peakbin -0.18pp · n=1 · 50.0% peak0.42pp11.03ppbin 1.03pp · n=1 · 50.0% peakbin 1.03pp · n=1 · 50.0% peak11.63ppbin 1.63pp · n=1 · 50.0% peakbin 1.63pp · n=1 · 50.0% peak2.24pp2.84pp13.45ppbin 3.45pp · n=1 · 50.0% peakbin 3.45pp · n=1 · 50.0% 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=8PLATYKURTIC · THIN TAILS (G₂=-1.65)
μ MEAN3.89¢95% CI: [2.75¢, 5.04¢]
σ STD DEV1.65ppσ² = 2.726 · CV = 42.40%
med MEDIAN3.72¢Q₁ 2.66¢ · Q₃ 5.04¢
FIVE-NUMBER SUMMARY · BOX PLOT
min 1.65¢Q₁ 2.66¢med 3.72¢Q₃ 5.04¢max 6.15¢μ
SKEWNESS · G₁0.163approximately symmetric
−3−10+1+3
EXCESS KURTOSIS · G₂-1.654platykurtic · thin tails
−30+2+4+6
μ ↔ medianμ > med · right-tailed|μ−med| / σ = 0.10
σ × 1.349 ↔ IQRconsistent with normalratio = 0.94
range ↔ σconcentrated (range < 4σ)range / σ = 2.73
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) -0.40 + ADF rejected
ρ(1) AUTOCORR-0.404within white-noise band
ρ(2) AUTOCORR-0.322lag-2 not significant
H · HURST EXPONENT0.500random-walk
OLS TREND · t-STAT+1.976significant @ α=0.05
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=1-0.404k=2-0.322k=3+0.494k=4-0.243k=5-0.1230+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) -0.40 + ADF rejectedfrom Hurst + ρ(1) joint diagnosis
PREDICTABILITY · score 0.40high · clear structure|ρ(1)| + 2·|H − 0.5| heuristic
TREND SIGNIFICANCESIGNIFICANT @ 5% (|t|=1.98)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 ID2614982
SLUGwill-bitcoin-reach-65k-on-june-20
CATEGORYCrypto
TWO-SIDED PRICING
PRIMARY · YES5.35¢implied prob 5.35% · decimal odds 18.69×
COUNTER · NO94.65¢implied prob 94.65% · decimal odds 1.06×
5.35¢
94.65¢
Σ-SIDES ARBITRAGE TEST
0%50%100% · target110%
Σ = 100.00% · |1 − Σ| = 0.000pp
24H ACTIVITY · LIQUIDITY
24H VOLUME18.02k USD 24h
LIQUIDITY6.00k USD
MARKET QUALITYPERFECT · ARB-FREE Σ=100.00%|1−Σ| ≤ 0.5pp ⇒ fair · > 2pp ⇒ inefficient
PRICING SKEWFAVOURS NO (95¢)|primary − counter| = 0.893 · entropy 0.301 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 5.3%NO 94.7%YES5.3%H = 0.301 / 1.00 bits
Probability scale (YES)
0%25%50%
fair
75%100%
Implied decimal odds
YES18.69×(5¢)NO1.06×(95¢)
Kelly bet-size (% of bankroll) K* = 0.00%
K* full
0.00%
½K half
0.00%
¼K quarter
0.00%
Entropy H(p̂) = 0.301 bits (30% 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 · HIGHresolves 2026-06-21 04:00 UTC
0days
16hrs
01min
YES$1.00(P = 5.3%)
NO$0.00(P = 94.7%)
current: $0.0535 · expected return per side: $0.95 on YES hit · $0.05 on NO hit
0%25%50%75%100%YES $1NO $0NOW+8.0hRESOLVESP projection · σ=1.65% · path funnel to settle at YES=1 or NO=0
Theta progression · θ ∝ σ / √t_remainingθ_now = 8.089 pp/day
now16.03h left
8.089 pp/day×1.00
−25%12.02h left
9.340 pp/day×1.15
−50%8.01h left
11.439 pp/day×1.41
−75%4.01h left
16.177 pp/day×2.00
−90%1.60h left
25.578 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 (349 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 0.7 d · σ/bar 0.086pp · expected |Δp| over horizon 0.35ppterminal variance p(1−p) = 0.0506 · n = 349n = 349
μ per bar
-0.002pp
average Δp · drift
σ per bar
0.086pp
one-bar volatility · logit-free
Per-day movedaily
0.42pp
σ × √24
Per-horizon move1d
0.35pp
σ × √16.025931944444444
Terminal variancebinary
0.0506
p(1−p) at resolution
Current pricep
5.3¢
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 0.14pp · ES₉₅ 0.18pp · method parametric · drift-correcteddrift -0.002pp/bar · quantised: yes · median step 0.15pp · unique ratio 0.02n = 349
VaR 95%
0.14pp
1.645·σ (parametric) of Δp
ES 95%
0.18pp
mean of the tail
Max drawdown
28.1pp
peak 6.0¢ → trough 4.3¢
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
5.3%
= price
Decimal oddsEU
18.692
total return per $1
AmericanUS
+1769
$100 wins $1769
FractionalUK
17.69 / 1
profit per $1 risked
Profit per $100stake
+$1769.16
clean dollar framing
-1000-5000+500+1000020406080100you · 5.3%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)
0.301 bit
max 1.0 at p = 0.5
Your entropyH(q)
0.301 bit
Δ +0.000 bit vs market
Surprise · YES−log₂ p
4.22 bit
self-information
Surprise · NO−log₂(1−p)
0.08 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
23558580209266351931436808431706100308687562011181601479385968752735465342354
NO token ID
64148185483803865071321507335069939464174092182235300152953120809916909993157
Snapshot fetched
2026-06-20 11:58:20 UTC
Snapshot age
5.9s
History points
8 CLOB mids
Page rendered
2026-06-20 11:58:26 UTC
Storage policy
no persistence — fetched on every request
SHA-256 attestation
1f194ebd89bc30ebddcf96a86fb28838fcf7d7c162f08579f050fcad8fa589c7 · 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
0.038500
(best bid + best ask) / 2
Spread
5454.5bp
(bestAsk − bestBid) / mid
Imbalance (whole book)
-0.373
ask-heavy
Imbalance (top-5)
+0.057
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-65k-on-june-20/slippage?size=10000&side=buy

SideNotionalAvg fillSlippageWorst fillLevelsStatus
BUY$1.00K0.09319214205.84bp0.68000020FILLED
BUY$10.00K0.471449112454.28bp0.94000027FILLED
BUY$100.00K0.735499181038.65bp0.99900035PARTIAL
SELL$1.00K0.0083897821.11bp0.00100010PARTIAL
SELL$10.00K0.0083897821.11bp0.00100010PARTIAL
SELL$100.00K0.0083897821.11bp0.00100010PARTIAL

Risk metrics

sovereign store · 349 barsperiods/year ≈ 1.75M
Realized vol (annualised)
2195.23%
σ per bar = 0.016581
Mean return (annualised)
-61936.94%
μ per bar = -0.000353
Sharpe (rf=0)
-28.21
annualised; risk-free assumed zero
Max drawdown
28.10%
peak 0.06 → trough 0.04 over 283 bars

/api/asset/pm-will-bitcoin-reach-65k-on-june-20/risk · same metrics, JSON