NOSTRADAMUS · Position Analytics Engine
SIMULATOR Will Iran close its airspace by July 15?
← 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-iran-close-its-airspace-by-july-15-20260609184136055 page.
▲ YES EDGE · +0.057 · f★ 7.0% · deploy 3.5% · net 4.97pp
§1 · Position economics
YES · Expected P/L per share +0.0572@ model P(YES) = 0.242
P/L per sharemarket pricemodel Pprofit zoneloss zone
Profit is linear in the eventual settlement price.
f★ = 7.02% · g(f★) = 1.011%deploy 3.51% · g = 0.774%
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 @ 0.185 · EV +$271stake $877 · 3.51% of bankroll
Deployed stakestake
$877
3.51% of bankroll
Sharesunits
4,742
each pays $1 if YES
Max payoutwin
$4,742
gross, if win
Max profitwin
+$3,865
net of cost
Max losslose
-$877
binary settles to $0
Payout multiple×
×5.41
$1 → $5.41
Risk:RewardR:R
4.41 : 1
win $4.41 per $1
Expected P/LE[P/L]
+$271
probability-weighted
| Outcome | P(model) | P/L | Contribution |
|---|---|---|---|
| Resolves YES (win) | 24.2% | +$3,865 | +$936 |
| Resolves against (lose) | 75.8% | -$877 | -$665 |
| Expected value | 100.0% | — | +$271 |
What you actually win and lose. The bottom table tabulates probability-weighted P/L by outcome.
§3 · Break-even & cushion
Cushion +5.7 pprelative edge +30.9%
Required win ratebreak-even
18.5%
price = implied probability
Model win rateP(win)
24.2%
what you forecast
Cushionedge
+5.7 pp
margin of safety
Fair pricemodel
0.242
where you think it should trade
The market price equals the win rate you must beat to make money.
§4 · Odds conversion
Implied probabilityP
18.5%
= price
Decimal oddsEU
5.405
total return per $1
AmericanUS
+441
$100 wins $441
FractionalUK
4.41 / 1
profit per $1 risked
Profit per $100stake
+$440.54
clean dollar framing
underdog (+)favorite (-)your price
Five views of the same number.
§4b · Time & annualized return
APR 537% · APY 10703%ROI 30.9% over 21d · 17.4 turns/yr
Time to resolvehorizon
21.0 d
504h capital lockup
Raw ROIper resolve
+30.9%
APR (simple)scaled
+537%
ROI × 365/days
APY (compounded)if redeployed
+10703%
(1+ROI)^(365/d) − 1
Daily expectedper day
+1.29%
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 +4.97 pperosion 13% · break-even w/ fees 19.3%
gross edgefrictionnet edgefee 0 bps · spread 1.50¢
The number that decides whether to trade.
§6 · Sizing menu
Full Kellyf★
$1,755
7.02% · g = 1.011%
Half Kelly½ f★
$877
3.51% · g = 0.774%
Quarter Kelly¼ f★
$439
1.75% · g = 0.462%
Flat 1%1%
$250
1.00% · g = 0.283%
Flat 2%2%
$500
2.00% · g = 0.514%
Flat 5%5%
$1,250
5.00% · g = 0.934%
Recommended¼ f★
$439
survives model error
Quarter-Kelly is the industry default — survives model error far better than full Kelly.
§7 · Information theory
Market entropyH(p)
0.691 bit
max 1.0 at p = 0.5
Your entropyH(q)
0.799 bit
Δ +0.108 bit vs market
Surprise · YES−log₂ p
2.43 bit
self-information
Surprise · NO−log₂(1−p)
0.30 bit
self-information
H(p) peaks at p = 0.5 (one bit of irreducible doubt).
NOISE · D_KL(q ‖ p) = 0.0101 nat (0.0146 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 0.242 · CI [0.14, 0.37] · κ 50.0
Posterior meanE[θ]
0.242
Beta(12.1, 37.9)
95% credible intervalHDI
[0.14, 0.37]
price INSIDE → weak edge
Concentrationκ
50.0
pseudo-obs behind belief
Disagreementvs crowd
+5.7 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] +17.6% · P(YES) 21.8% · VaR₉₅ 100.0%400 paths · 504 bars to resolution
Expected P/Lper $1
+17.57%
P(YES) empiricalq
21.8%
Best pathmax
+440.5%
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 0.77% · ruin rate 9.8%400 paths × 120 bets · f deploy 3.51%
Sharpe / betμ/σ
0.135
μ 1.10% · σ 8.1%
Sortino / betμ/σ↓
0.313
downside-only denominator
VaR 95%5%
-3.5%
per-bet worst-case
CVaR 95%ES
-3.5%
mean tail loss
Max drawdownMDD
-13.3%
Calmar 0.06
Ruin rate≤50%
9.8%
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 -28.7pp · crowd gap -34.4pp
Anchor gapmodel − base
-28.7 pp
Crowd gapprice − base
-34.4 pp
Verdictdiscipline
ANCHORED
Reference-class anchoring prevents narrative-driven blowups.
§11 · Forecast quality (synthetic ledger)
SKILL POSITIVE · in-sample BSS 19.5% · AUC 0.763out-of-sample BSS (5-fold) 19.6% ± 2.1% · Brier 0.2013 · log-loss 0.5992 · n 1600✓ n = 1600
BrierBS
0.2013
lower = better · ō 0.50
BSSvs base
19.5%
improvement over base rate
ReliabilityREL
0.0041
miscalibration · want ↓
ResolutionRES
0.0526
decisiveness · want ↑
Log lossLL
0.5992
cross-entropy
AUCROC
0.763
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 1.15 · expectancy +0.074R180 trades · win 51.7% · Sharpe 0.063
Total P/Lnet
+$3,314
on $45,000 cycled
Win ratehit %
51.7%
93 W / 87 L
Profit factorPF
1.15
$ won / $ lost
Expectancyper trade
+$18.41
avg $ per position
R-expectancyper risk
+0.074R
in units of risk taken
Avg win / losspayoff
$269.51 / -$250.00
ratio 1.08 : 1
Sharpe / traderisk-adj
0.063
μR / σR
Closing line valueCLV
+2.54 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.