NOSTRADAMUS · Position Analytics Engine
SIMULATOR Ethereum Up or Down on June 20?
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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-ethereum-up-or-down-on-june-20-2026 page.
▲ YES EDGE · +0.035 · f★ 63.6% · deploy 31.8% · net 2.75pp
§1 · Position economics
YES · Expected P/L per share +0.0350@ model P(YES) = 0.980
P/L per sharemarket pricemodel Pprofit zoneloss zone
Profit is linear in the eventual settlement price.
f★ = 63.64% · g(f★) = 1.541%deploy 31.82% · g = 1.032%
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 @ 0.945 · EV +$295stake $7,955 · 31.82% of bankroll
Deployed stakestake
$7,955
31.82% of bankroll
Sharesunits
8,418
each pays $1 if YES
Max payoutwin
$8,418
gross, if win
Max profitwin
+$463
net of cost
Max losslose
-$7,955
binary settles to $0
Payout multiple×
×1.06
$1 → $1.06
Risk:RewardR:R
0.06 : 1
win $0.06 per $1
Expected P/LE[P/L]
+$295
probability-weighted
| Outcome | P(model) | P/L | Contribution |
|---|---|---|---|
| Resolves YES (win) | 98.0% | +$463 | +$454 |
| Resolves against (lose) | 2.0% | -$7,955 | -$159 |
| Expected value | 100.0% | — | +$295 |
What you actually win and lose. The bottom table tabulates probability-weighted P/L by outcome.
§3 · Break-even & cushion
Cushion +3.5 pprelative edge +3.7%
Required win ratebreak-even
94.5%
price = implied probability
Model win rateP(win)
98.0%
what you forecast
Cushionedge
+3.5 pp
margin of safety
Fair pricemodel
0.980
where you think it should trade
The market price equals the win rate you must beat to make money.
§4 · Odds conversion
Implied probabilityP
94.5%
= price
Decimal oddsEU
1.058
total return per $1
AmericanUS
-1718
risk $1718 to win $100
FractionalUK
0.06 / 1
profit per $1 risked
Profit per $100stake
+$5.82
clean dollar framing
underdog (+)favorite (-)your price
Five views of the same number.
§4b · Time & annualized return
APR 64% · APY 88%ROI 3.7% over 21d · 17.4 turns/yr
Time to resolvehorizon
21.0 d
504h capital lockup
Raw ROIper resolve
+3.7%
APR (simple)scaled
+64%
ROI × 365/days
APY (compounded)if redeployed
+88%
(1+ROI)^(365/d) − 1
Daily expectedper day
+0.17%
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 +2.75 pperosion 21% · break-even w/ fees 95.2%
gross edgefrictionnet edgefee 0 bps · spread 1.50¢
The number that decides whether to trade.
§6 · Sizing menu
Full Kellyf★
$15,909
63.64% · g = 1.541%
Half Kelly½ f★
$7,955
31.82% · g = 1.032%
Quarter Kelly¼ f★
$3,977
15.91% · g = 0.557%
Flat 1%1%
$250
1.00% · g = 0.037%
Flat 2%2%
$500
2.00% · g = 0.074%
Flat 5%5%
$1,250
5.00% · g = 0.182%
Recommended¼ f★
$3,977
survives model error
Quarter-Kelly is the industry default — survives model error far better than full Kelly.
§7 · Information theory
Market entropyH(p)
0.307 bit
max 1.0 at p = 0.5
Your entropyH(q)
0.141 bit
Δ -0.166 bit vs market
Surprise · YES−log₂ p
0.08 bit
self-information
Surprise · NO−log₂(1−p)
4.18 bit
self-information
H(p) peaks at p = 0.5 (one bit of irreducible doubt).
NOISE · D_KL(q ‖ p) = 0.0154 nat (0.0222 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 0.980 · CI [0.70, 1.00] · κ 4.4
Posterior meanE[θ]
0.980
Beta(4.4, 0.1)
95% credible intervalHDI
[0.70, 1.00]
price INSIDE → weak edge
Concentrationκ
4.4
pseudo-obs behind belief
Disagreementvs crowd
+3.5 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] +4.2% · P(YES) 98.5% · VaR₉₅ -5.8%400 paths · 504 bars to resolution
Expected P/Lper $1
+4.23%
P(YES) empiricalq
98.5%
Best pathmax
+5.8%
Worst pathmin
-100.0%
VaR 95%5%
-5.8%
CVaR 95%ES
24.4%
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 0.50% · ruin rate 27.5%400 paths × 120 bets · f deploy 31.82%
Sharpe / betμ/σ
0.087
μ 0.56% · σ 6.5%
Sortino / betμ/σ↓
0.018
downside-only denominator
VaR 95%5%
1.9%
per-bet worst-case
CVaR 95%ES
0.6%
mean tail loss
Max drawdownMDD
-31.8%
Calmar 0.02
Ruin rate≤50%
27.5%
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 +47.7pp · crowd gap +44.2pp
Anchor gapmodel − base
+47.7 pp
Crowd gapprice − base
+44.2 pp
Verdictdiscipline
ANCHORED
Reference-class anchoring prevents narrative-driven blowups.
§11 · Forecast quality (synthetic ledger)
SKILL POSITIVE · in-sample BSS 23.6% · AUC 0.785out-of-sample BSS (5-fold) 23.6% ± 2.7% · Brier 0.1911 · log-loss 0.5707 · n 1600✓ n = 1600
BrierBS
0.1911
lower = better · ō 0.51
BSSvs base
23.6%
improvement over base rate
ReliabilityREL
0.0027
miscalibration · want ↓
ResolutionRES
0.0620
decisiveness · want ↑
Log lossLL
0.5707
cross-entropy
AUCROC
0.785
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)
BLEEDING · PF 0.89 · expectancy -0.056R180 trades · win 50.6% · Sharpe -0.055
Total P/Lnet
-$2,517
on $45,000 cycled
Win ratehit %
50.6%
91 W / 89 L
Profit factorPF
0.89
$ won / $ lost
Expectancyper trade
-$13.98
avg $ per position
R-expectancyper risk
-0.056R
in units of risk taken
Avg win / losspayoff
$216.85 / -$250.00
ratio 0.87 : 1
Sharpe / traderisk-adj
-0.055
μR / σR
Closing line valueCLV
+3.08 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.