NOSTRADAMUS · Position Analytics Engine
SIMULATOR Will the price of Bitcoin be above $64,000 on June 14?
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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-bitcoin-above-64k-on-june-14-2026 page.
▲ YES EDGE · +0.018 · f★ 5.0% · deploy 2.5% · net 1.04pp
§1 · Position economics
YES · Expected P/L per share +0.0179@ model P(YES) = 0.663
P/L per sharemarket pricemodel Pprofit zoneloss zone
Profit is linear in the eventual settlement price.
f★ = 5.04% · g(f★) = 0.070%deploy 2.52% · g = 0.053%
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 @ 0.645 · EV +$17stake $630 · 2.52% of bankroll
Deployed stakestake
$630
2.52% of bankroll
Sharesunits
977
each pays $1 if YES
Max payoutwin
$977
gross, if win
Max profitwin
+$347
net of cost
Max losslose
-$630
binary settles to $0
Payout multiple×
×1.55
$1 → $1.55
Risk:RewardR:R
0.55 : 1
win $0.55 per $1
Expected P/LE[P/L]
+$17
probability-weighted
| Outcome | P(model) | P/L | Contribution |
|---|---|---|---|
| Resolves YES (win) | 66.3% | +$347 | +$230 |
| Resolves against (lose) | 33.7% | -$630 | -$212 |
| Expected value | 100.0% | — | +$17 |
What you actually win and lose. The bottom table tabulates probability-weighted P/L by outcome.
§3 · Break-even & cushion
Cushion +1.8 pprelative edge +2.8%
Required win ratebreak-even
64.5%
price = implied probability
Model win rateP(win)
66.3%
what you forecast
Cushionedge
+1.8 pp
margin of safety
Fair pricemodel
0.663
where you think it should trade
The market price equals the win rate you must beat to make money.
§4 · Odds conversion
Implied probabilityP
64.5%
= price
Decimal oddsEU
1.550
total return per $1
AmericanUS
-182
risk $182 to win $100
FractionalUK
0.55 / 1
profit per $1 risked
Profit per $100stake
+$55.04
clean dollar framing
underdog (+)favorite (-)your price
Five views of the same number.
§4b · Time & annualized return
APR 48% · APY 61%ROI 2.8% over 21d · 17.4 turns/yr
Time to resolvehorizon
21.0 d
504h capital lockup
Raw ROIper resolve
+2.8%
APR (simple)scaled
+48%
ROI × 365/days
APY (compounded)if redeployed
+61%
(1+ROI)^(365/d) − 1
Daily expectedper day
+0.13%
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 +1.04 pperosion 42% · break-even w/ fees 65.3%
gross edgefrictionnet edgefee 0 bps · spread 1.50¢
The number that decides whether to trade.
§6 · Sizing menu
Full Kellyf★
$1,260
5.04% · g = 0.070%
Half Kelly½ f★
$630
2.52% · g = 0.053%
Quarter Kelly¼ f★
$315
1.26% · g = 0.031%
Flat 1%1%
$250
1.00% · g = 0.025%
Flat 2%2%
$500
2.00% · g = 0.045%
Flat 5%5%
$1,250
5.00% · g = 0.070%
Recommended¼ f★
$315
survives model error
Quarter-Kelly is the industry default — survives model error far better than full Kelly.
§7 · Information theory
Market entropyH(p)
0.938 bit
max 1.0 at p = 0.5
Your entropyH(q)
0.922 bit
Δ -0.016 bit vs market
Surprise · YES−log₂ p
0.63 bit
self-information
Surprise · NO−log₂(1−p)
1.49 bit
self-information
H(p) peaks at p = 0.5 (one bit of irreducible doubt).
NOISE · D_KL(q ‖ p) = 0.0007 nat (0.0010 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 0.663 · CI [0.54, 0.77] · κ 61.1
Posterior meanE[θ]
0.663
Beta(40.5, 20.6)
95% credible intervalHDI
[0.54, 0.77]
price INSIDE → weak edge
Concentrationκ
61.1
pseudo-obs behind belief
Disagreementvs crowd
+1.8 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] +1.2% · P(YES) 65.3% · VaR₉₅ 100.0%400 paths · 504 bars to resolution
Expected P/Lper $1
+1.16%
P(YES) empiricalq
65.3%
Best pathmax
+55.0%
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 0.07% · ruin rate 0.0%400 paths × 120 bets · f deploy 2.52%
Sharpe / betμ/σ
0.046
μ 0.08% · σ 1.8%
Sortino / betμ/σ↓
0.033
downside-only denominator
VaR 95%5%
-2.5%
per-bet worst-case
CVaR 95%ES
-2.5%
mean tail loss
Max drawdownMDD
-3.7%
Calmar 0.02
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 +17.5pp · crowd gap +15.7pp
Anchor gapmodel − base
+17.5 pp
Crowd gapprice − base
+15.7 pp
Verdictdiscipline
ANCHORED
Reference-class anchoring prevents narrative-driven blowups.
§11 · Forecast quality (synthetic ledger)
SKILL POSITIVE · in-sample BSS 24.1% · AUC 0.787out-of-sample BSS (5-fold) 24.2% ± 1.8% · Brier 0.1898 · log-loss 0.5690 · n 1600✓ n = 1600
BrierBS
0.1898
lower = better · ō 0.50
BSSvs base
24.1%
improvement over base rate
ReliabilityREL
0.0042
miscalibration · want ↓
ResolutionRES
0.0642
decisiveness · want ↑
Log lossLL
0.5690
cross-entropy
AUCROC
0.787
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 1.04 · expectancy +0.020R180 trades · win 46.1% · Sharpe 0.011
Total P/Lnet
+$895
on $45,000 cycled
Win ratehit %
46.1%
83 W / 97 L
Profit factorPF
1.04
$ won / $ lost
Expectancyper trade
+$4.97
avg $ per position
R-expectancyper risk
+0.020R
in units of risk taken
Avg win / losspayoff
$302.95 / -$250.00
ratio 1.21 : 1
Sharpe / traderisk-adj
0.011
μR / σR
Closing line valueCLV
+3.00 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.