POLYMARKET · PREDICTION MARKET · SPORTS
UFC Freedom 250: Kyle Daukaus vs. Bo Nickal (Middleweight, Main Card)
▸ Advanced metrics · M2M bundle
polymarket · ufc-kyl3-bon-2026-06-14 · fresh · feed 0s old/api/m2m/pm-ufc-kyl3-bon-2026-06-14/bundle · venue execution: polymarket →§1 · 24h price history (YES + NO tokens)
§2 · Distribution of Δp
§3 · Sample moments
§5 · Time-series structure
anti-persistent0.45
mean-reverting0.5
random walk0.55
persistent1
strongly trending
§6 · Microstructure
§7 · Position sizing & edge analysis
§8 · Time decay & θ projection
§9 · Hourly return heatmap
§10 · Equity curve & underwater drawdown
§11 · Rolling-window statistics (w = 6 bars)
§12 · Hypothesis tests (α = 0.05)
Jarque-Bera
REJECT H₀***H₀: Δp ~ Normal(μ, σ²)
Ljung-Box(h=5)
FAIL TO REJECTnsH₀: No serial autocorrelation up to lag 5
Dickey-Fuller (τ_μ)
FAIL TO REJECTnsH₀: p has a unit root (non-stationary)
Wald-Wolfowitz runs
N/An/aH₀: Sign sequence of Δ is random
KPSS (μ stationarity)
REJECT H₀*H₀: p IS level-stationary
Variance ratio q=3
FAIL TO REJECTnsH₀: Δp is a random walk · VR = 1
§13 · Spectral analysis (DFT periodogram)
▸ Depth section using sovereign-store price series (376 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
§16 · Tail risk
§17 · Odds conversion
§18 · Binary entropy
§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
8457165310158143184183172772608119066029497347127943259860119682408859467027- NO token ID
70650988901029314941389661252576796909216820289909151093922148088490643968722- Snapshot fetched
- 2026-06-14 13:44:20 UTC
- Snapshot age
- 6ms
- History points
- 25 CLOB mids
- Page rendered
- 2026-06-14 13:44:20 UTC
- Storage policy
- no persistence — fetched on every request
- SHA-256 attestation
9b476c3f61644ef619e42c20e691077409b80d52d74bd36b6062f8a5669f95c9· deterministic hash of source snapshot- Open data licence
- CC0 / public domain
§∞-2 · Related markets · explore more
Also see: /arb opportunities · RSS feed · more in Sports
Market depth
▸ live order book · Polymarket YESSlippage 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-ufc-kyl3-bon-2026-06-14/slippage?size=10000&side=buy
| Side | Notional | Avg fill | Slippage | Worst fill | Levels | Status |
|---|---|---|---|---|---|---|
| BUY | $1.00K | 0.280000 | 181.82bp | 0.280000 | 1 | FILLED |
| BUY | $10.00K | 0.315909 | 1487.62bp | 0.500000 | 12 | FILLED |
| BUY | $100.00K | 0.718092 | 16112.44bp | 0.990000 | 38 | FILLED |
| SELL | $1.00K | 0.264026 | 399.07bp | 0.260000 | 2 | FILLED |
| SELL | $10.00K | 0.256661 | 666.87bp | 0.250000 | 3 | FILLED |
| SELL | $100.00K | 0.115661 | 5794.14bp | 0.010000 | 23 | PARTIAL |
Risk metrics
▸ sovereign store · 376 barsperiods/year ≈ 1.75M/api/asset/pm-ufc-kyl3-bon-2026-06-14/risk · same metrics, JSON