NOSTRADAMUS · Position Analytics Engine
SIMULATOR Will Portugal win the 2026 FIFA World Cup?
← Back to live dashboardEmbed cardOG previewTop moversArb
A live, interactive instrument for dissecting a single binary position. Sweep the inputs and watch every indicator recompute — payoff geometry, Kelly growth, Bayesian posterior, KL divergence, cost waterfall, Monte-Carlo equity fan, forecast calibration. Companion to the live /feed/pm-will-portugal-win-the-2026-fifa-world-cup-912 page.
▲ YES EDGE · +0.010 · f★ 1.1% · deploy 0.5% · net 0.21pp
§1 · Position economics
YES · Expected P/L per share +0.0096@ model P(YES) = 0.128
P/L per sharemarket pricemodel Pprofit zoneloss zone
Profit is linear in the eventual settlement price.
f★ = 1.09% · g(f★) = 0.043%deploy 0.55% · g = 0.033%
g(f)f★ optimumdeployed fgrowth zone
Underbet leaves growth on the table; overbet destroys capital. The interior maximum is f★.
§2 · The trade ticket
YES @ 0.118 · EV +$11stake $136 · 0.55% of bankroll
Deployed stakestake
$136
0.55% of bankroll
Sharesunits
1,151
each pays $1 if YES
Max payoutwin
$1,151
gross, if win
Max profitwin
+$1,015
net of cost
Max losslose
-$136
binary settles to $0
Payout multiple×
×8.44
$1 → $8.44
Risk:RewardR:R
7.44 : 1
win $7.44 per $1
Expected P/LE[P/L]
+$11
probability-weighted
| Outcome | P(model) | P/L | Contribution |
|---|---|---|---|
| Resolves YES (win) | 12.8% | +$1,015 | +$130 |
| Resolves against (lose) | 87.2% | -$136 | -$119 |
| Expected value | 100.0% | — | +$11 |
What you actually win and lose. The bottom table tabulates probability-weighted P/L by outcome.
§3 · Break-even & cushion
Cushion +1.0 pprelative edge +8.1%
Required win ratebreak-even
11.8%
price = implied probability
Model win rateP(win)
12.8%
what you forecast
Cushionedge
+1.0 pp
margin of safety
Fair pricemodel
0.128
where you think it should trade
The market price equals the win rate you must beat to make money.
§4 · Odds conversion
Implied probabilityP
11.8%
= price
Decimal oddsEU
8.439
total return per $1
AmericanUS
+744
$100 wins $744
FractionalUK
7.44 / 1
profit per $1 risked
Profit per $100stake
+$743.88
clean dollar framing
underdog (+)favorite (-)your price
Five views of the same number.
§4b · Time & annualized return
APR 141% · APY 288%ROI 8.1% over 21d · 17.4 turns/yr
Time to resolvehorizon
21.0 d
504h capital lockup
Raw ROIper resolve
+8.1%
APR (simple)scaled
+141%
ROI × 365/days
APY (compounded)if redeployed
+288%
(1+ROI)^(365/d) − 1
Daily expectedper day
+0.37%
geometric, per day held
Capital turns/yrvelocity
×17.4
how often this slot recycles
simple APRcompounded APYyour horizon
Rank positions by APR, not raw ROI. A thin edge tomorrow beats a fat edge next year.
§5 · Costs & net edge
Net edge +0.21 pperosion 78% · break-even w/ fees 12.6%
gross edgefrictionnet edgefee 0 bps · spread 1.50¢
The number that decides whether to trade.
§6 · Sizing menu
Full Kellyf★
$273
1.09% · g = 0.043%
Half Kelly½ f★
$136
0.55% · g = 0.033%
Quarter Kelly¼ f★
$68
0.27% · g = 0.019%
Flat 1%1%
$250
1.00% · g = 0.043%
Flat 2%2%
$500
2.00% · g = 0.016%
Flat 5%5%
$1,250
5.00% · g = -0.421%
Recommended¼ f★
$68
survives model error
Quarter-Kelly is the industry default — survives model error far better than full Kelly.
§7 · Information theory
Market entropyH(p)
0.525 bit
max 1.0 at p = 0.5
Your entropyH(q)
0.552 bit
Δ +0.027 bit vs market
Surprise · YES−log₂ p
3.08 bit
self-information
Surprise · NO−log₂(1−p)
0.18 bit
self-information
H(p) peaks at p = 0.5 (one bit of irreducible doubt).
NOISE · D_KL(q ‖ p) = 0.0004 nat (0.0006 bit)belief ≈ market — stand down
YES contributionNO contributionbelief ‖ marketnoise
Zero KL ⇒ you know nothing the crowd doesn't.
§8 · Bayesian inference
MARKET PRICE INSIDE 95% CIposterior μ 0.128 · CI [0.04, 0.27] · κ 30.0
Posterior meanE[θ]
0.128
Beta(3.8, 26.2)
95% credible intervalHDI
[0.04, 0.27]
price INSIDE → weak edge
Concentrationκ
30.0
pseudo-obs behind belief
Disagreementvs crowd
+1.0 pp
posterior − price
market prior (dashed)model posterior95% credible bandmarket price
When the market price falls outside the 95% credible interval, your disagreement is statistically meaningful.
§9 · Tail risk · Monte-Carlo (mode A · single position to resolution)
E[P/L] +45.6% · P(YES) 17.3% · VaR₉₅ 100.0%400 paths · 504 bars to resolution
Expected P/Lper $1
+45.57%
P(YES) empiricalq
17.3%
Best pathmax
+743.9%
Worst pathmin
-100.0%
VaR 95%5%
100.0%
CVaR 95%ES
100.0%
median path25/75 + 5/95 bandsentry pricemodel q
Logit-space mean-reverting walk + terminal flip with probability q. Answers: 'what happens to THIS one position'. Distinct from the repeated-edge fan below.
§9b · Tail risk · Monte-Carlo (mode B · repeated independent edges)
Median CAGR/bet 0.02% · ruin rate 0.0%400 paths × 120 bets · f deploy 0.55%
Sharpe / betμ/σ
0.032
μ 0.05% · σ 1.5%
Sortino / betμ/σ↓
0.092
downside-only denominator
VaR 95%5%
-0.5%
per-bet worst-case
CVaR 95%ES
-0.5%
mean tail loss
Max drawdownMDD
-5.0%
Calmar 0.00
Ruin rate≤50%
0.0%
P(equity ever ≤ 50%)
median25/75 band5/95 bandruin line
Answers a different question: 'if I could find this exact edge forever, what is the bankroll trajectory'. Compounds 120 sequential resolutions which is NOT what happens to a single position.
§10 · Base-rate & macro context
ANCHORED · supported by convictionanchor gap -41.9pp · crowd gap -42.9pp
Anchor gapmodel − base
-41.9 pp
Crowd gapprice − base
-42.9 pp
Verdictdiscipline
ANCHORED
Reference-class anchoring prevents narrative-driven blowups.
§11 · Forecast quality (synthetic ledger)
SKILL POSITIVE · in-sample BSS 19.7% · AUC 0.769out-of-sample BSS (5-fold) 19.8% ± 2.4% · Brier 0.2003 · log-loss 0.6024 · n 1600✓ n = 1600
BrierBS
0.2003
lower = better · ō 0.47
BSSvs base
19.7%
improvement over base rate
ReliabilityREL
0.0065
miscalibration · want ↓
ResolutionRES
0.0556
decisiveness · want ↑
Log lossLL
0.6024
cross-entropy
AUCROC
0.769
0.5 coin · 1.0 oracle
calibration curveROCUNC (irreducible)RES (skill, ↑)REL (miscalib, ↓)
Computed on a seeded synthetic forecast ledger. Reseed (⟳) to redraw.
§12 · Journal vitals (synthetic ledger)
PROFITABLE · PF 1.06 · expectancy +0.027R180 trades · win 51.7% · Sharpe 0.025
Total P/Lnet
+$1,228
on $45,000 cycled
Win ratehit %
51.7%
93 W / 87 L
Profit factorPF
1.06
$ won / $ lost
Expectancyper trade
+$6.82
avg $ per position
R-expectancyper risk
+0.027R
in units of risk taken
Avg win / losspayoff
$247.07 / -$250.00
ratio 0.99 : 1
Sharpe / traderisk-adj
0.025
μR / σR
Closing line valueCLV
+2.69 pp
avg edge vs close
cumulative P/Lprofitable zonered zonesynthetic · seeded from asset
The scorecard every trader checks. Synthetic ledger seeded from the asset slug — recomputes against your real fill history once wired.