POLYMARKET · PREDICTION MARKET · HSBC CHAMPIONSHIPS: CORENTIN MOUTET VS ALEJANDRO DAVIDOVICH FOKINA
HSBC Championships: Corentin Moutet vs Alejandro Davidovich Fokina
28.5¢
71.5¢
▸ Advanced metrics · M2M bundle
polymarket · atp-moutet-fokina-2026-06-17 · fresh · feed 9s old24h sparkline · 60 pts▼ —
realized vol (ann.)
307.55%
max drawdown
29.63%
sharpe
—
ulcer index
6.42%
RMS drawdown
pain index
5.15%
mean drawdown
mod. VaR 95%
0.00%
Cornish-Fisher
martin ratio
—
ret / ulcer
CDaR 95%
11.37%
cond. drawdown
gain/pain
0.41
Σgain / Σ|loss|
sterling
—
ret / CDaR
omega (θ=0)
0.41
upside/downside
roll spread
0.0 bps
implied (price-only)
bars used
1889
store
spread
—
24h Δ
—
flow lean
—
carry
flat
signalNEUTRALconfidence 20%
Same bundle via M2M API:
/api/m2m/pm-atp-moutet-fokina-2026-06-17/bundle · venue execution: polymarket →LIVEPOLL0SRCFRESH⏱--:--:-- UTCNEXT8.0sUP0s--:--HIST
▶ 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
28.5¢
NO · live
71.5¢
25 ticks · last 29.00¢
Σ 100.00% · fair
Σ-sides total = 100.00% (tight rounding)
H(p) entropy = 0.862 / 1.00 bits (86%) · high uncertainty
YES28.5%28.5¢3.51×▬ +0.00pp
NO71.5%71.5¢1.40×▬ +0.00pp
Σ 100.00% · arb gap 0.00pp
Σ 2050bp moved · peak 600bp · n=24 ticks
8.7s
28.50¢ (28.50%)
71.50¢ (71.50%)
100.00%
0.000pp
$105.7k
$56.7k
25 ticks (live)
§1 · 24h price history (YES + NO tokens)
25 YES observations from clob.polymarket.com · last 29.00¢
25 NO observations from clob.polymarket.com · last 74.50¢
§2 · Distribution of Δp
n=24
reference line = identity (perfect normality). Heavy upper-right tail = fat positive tail.
§3 · Sample moments
SAMPLE MOMENTS · N=25LEPTOKURTIC · FAT TAILS (G₂=4.30)
FIVE-NUMBER SUMMARY · BOX PLOT
SKEWNESS · G₁-2.094left-skewed
−3−10+1+3
EXCESS KURTOSIS · G₂4.303leptokurtic · fat tails
−30+2+4+6
μ = mean YES probability · σ = standard deviation · 95% CI = μ ± 1.96·SE. Skew/kurt diagnose departure from normality.
§5 · Time-series structure
TIME-SERIES STRUCTUREREGIME: MEAN-REVERTING · ADF rejects unit root
HURST EXPONENT [0, 1]
H = 0.651PERSISTENT
0
anti-persistent0.45
mean-reverting0.5
random walk0.55
persistent1
strongly trending
anti-persistent0.45
mean-reverting0.5
random walk0.55
persistent1
strongly trending
AUTOCORRELATION FUNCTION · ρ(k) for k=1..5
OLS TREND · t-STAT · [-5, +5]
−5 reject−1.960 retain H₀+1.96+5 reject
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
MICROSTRUCTURE · MARKET QUALITYPERFECT · ARB-FREE Σ=100.00%
TWO-SIDED PRICING
28.50¢
71.50¢
Σ-SIDES ARBITRAGE TEST
Σ = 100.00% · |1 − Σ| = 0.000pp
24H ACTIVITY · LIQUIDITY
Σ-sides = YES + NO implied probabilities. Perfect arb-free Σ = 100%. |1−Σ| > 2pp suggests synthetic outright arbitrage.
§7 · Position sizing & edge analysis
FAIR MARKET · no edge
Probability scale (YES)
Implied decimal odds
YES3.51×(28¢)NO1.40×(72¢)
Kelly bet-size (% of bankroll) K* = 0.00%
Entropy H(p̂) = 0.862 bits (86% of max) · high uncertainty
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
⏱ URGENCY · LOWresolves 2026-06-24 08:00 UTC
5days
20hrs
55min
YES →$1.00
NO →$0.00
current: $0.2850 · expected return per side: $0.72 on YES hit · $0.28 on NO hit
Theta progression · θ ∝ σ / √t_remainingθ_now = 14.019 pp/day
now5.87d left14.019 pp/day×1.00
−25%4.40d left16.188 pp/day×1.15
−50%2.94d left19.826 pp/day×1.41
−75%1.47d left28.039 pp/day×2.00
−90%14.09h left44.333 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
4 up bars · 8 down · best 2.00% · worst -6.00% · typical |Δ| 0.854%
§10 · Equity curve & underwater drawdown
final equity 0.8883 (-11.17%) · max DD -12.05% · time-under-water 20/25 bars
§11 · Rolling-window statistics (w = 6 bars)
latest -41.842 · range [-120.83, 30.21] · μ -33.652 · positive Sharpe = excess-return-per-risk earned by buying-and-holding through this window
latest 296.59% · range [0.00%, 296.59%] · μ 75.78% · σ̂ scaled to annualised (×√8760)
latest 0.333 · |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)
2 of 6 REJECT · mixed evidence2 reject·4 pass·α = 0.05
Jarque-Bera
REJECT H₀***H₀: Δp ~ Normal(μ, σ²)
STATISTIC
57.5295
p-VALUE (log scale)
< 0.0001
Ljung-Box(h=5)
FAIL TO REJECTnsH₀: No serial autocorrelation up to lag 5
STATISTIC
6.9876
p-VALUE (log scale)
0.2205
Dickey-Fuller (τ_μ)
FAIL TO REJECTnsH₀: p has a unit root (non-stationary)
STATISTIC
1.4939
p-VALUE (log scale)
0.9990
Wald-Wolfowitz runs
FAIL TO REJECTnsH₀: Sign sequence of Δ is random
STATISTIC
-0.2300
p-VALUE (log scale)
0.8181
KPSS (μ stationarity)
REJECT H₀*H₀: p IS level-stationary
STATISTIC
0.7360
p-VALUE (log scale)
0.0103
Variance ratio q=3
FAIL TO REJECTnsH₀: Δp is a random walk · VR = 1
STATISTIC
-0.9834
p-VALUE (log scale)
0.3254
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)
dominant period ≈ 4.80h (freq 0.208) · concentrates 21.3% of total energy · Σ|X̂|²/n = 3.117e-3
▸ Depth section using sovereign-store price series (1889 bars · effective 1752421 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
Horizon 5.9 d · σ/bar 0.232pp · expected |Δp| over horizon 2.76ppterminal variance p(1−p) = 0.2038 · n = 1889✓ n = 1889
μ per bar
-0.006pp
average Δp · drift
σ per bar
0.232pp
one-bar volatility · logit-free
Per-day movedaily
1.14pp
σ × √24
Per-horizon move6d
2.76pp
σ × √140.93073972222223
Terminal variancebinary
0.2038
p(1−p) at resolution
Current pricep
28.5¢
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
VaR₉₅ 0.39pp · ES₉₅ 0.49pp · method parametric · drift-correcteddrift -0.006pp/bar · quantised: yes · median step 1.00pp · unique ratio 0.01✓ n = 1889
VaR 95%
0.39pp
1.645·σ (parametric) of Δp
ES 95%
0.49pp
mean of the tail
Max drawdown
29.6pp
peak 40.5¢ → trough 28.5¢
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
Implied probabilityP
28.5%
= price
Decimal oddsEU
3.509
total return per $1
AmericanUS
+251
$100 wins $251
FractionalUK
2.51 / 1
profit per $1 risked
Profit per $100stake
+$250.88
clean dollar framing
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
Market entropyH(p)
0.862 bit
max 1.0 at p = 0.5
Your entropyH(q)
0.862 bit
Δ +0.000 bit vs market
Surprise · YES−log₂ p
1.81 bit
self-information
Surprise · NO−log₂(1−p)
0.48 bit
self-information
Market entropy only — model entropy requires an external q.
§19 · Model-dependent surfaces
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
92369713121446306461272688117773355315827958790251847683550321017578056295620- NO token ID
75513594431279468942859179407236163767201191496268904657274407629481805599216- Snapshot fetched
- 2026-06-18 11:04:00 UTC
- Snapshot age
- 8.7s
- History points
- 25 CLOB mids
- Page rendered
- 2026-06-18 11:04:09 UTC
- Storage policy
- no persistence — fetched on every request
- SHA-256 attestation
4caea8135ad23c8a9f4e70563aefe48cafd5ed83785bb9fb1ceef01cd9198466· deterministic hash of source snapshot- Open data licence
- CC0 / public domain
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Also see: /arb opportunities · RSS feed · more in HSBC Championships: Corentin Moutet vs Alejandro Davidovich Fokina
Market depth
▸ live order book · Polymarket YESDepth 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
0.255000
(best bid + best ask) / 2
Spread
392.2bp
(bestAsk − bestBid) / mid
Imbalance (whole book)
-0.538
ask-heavy
Imbalance (top-5)
+0.322
bid-heavy top-of-book
Slippage scenarios
▸ live book walk · Polymarket YESSimulating 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-atp-moutet-fokina-2026-06-17/slippage?size=10000&side=buy
| Side | Notional | Avg fill | Slippage | Worst fill | Levels | Status |
|---|---|---|---|---|---|---|
| BUY | $1.00K | 0.267909 | 506.23bp | 0.270000 | 2 | FILLED |
| BUY | $10.00K | 0.284021 | 1138.10bp | 0.620000 | 14 | FILLED |
| BUY | $100.00K | 0.732725 | 18734.31bp | 0.970000 | 26 | FILLED |
| SELL | $1.00K | 0.240669 | 561.98bp | 0.240000 | 2 | FILLED |
| SELL | $10.00K | 0.232593 | 878.70bp | 0.220000 | 4 | FILLED |
| SELL | $100.00K | 0.112105 | 5603.72bp | 0.010000 | 9 | PARTIAL |
Risk metrics
▸ sovereign store · 1,889 barsperiods/year ≈ 1.75MRealized vol (annualised)
866.82%
σ per bar = 0.006548
Mean return (annualised)
-32616.37%
μ per bar = -0.000186
Sharpe (rf=0)
-37.63
annualised; risk-free assumed zero
Max drawdown
29.63%
peak 0.41 → trough 0.28 over 1879 bars
/api/asset/pm-atp-moutet-fokina-2026-06-17/risk · same metrics, JSON