Valhalla Quant Capital
A public experiment · 2016–2025

Every note, every week, one measurement.

A systematic income experiment: worst-of-two autocall notes on the dated S&P 500, priced from point-in-time market data and held to contractual runoff. What follows is the full decade, published as measured — every figure gross of fees.

EXHIBIT 01

Four currencies, one product

Each book starts at 10.0m in its own currency and buys the same note structure against its own funding rate.
9.5m10.0m10.5m11.0m11.5m12.0m12.5m13.0m13.5m2016201720182019202020212022202320242025USD  13.61mSEK  11.57mEUR  11.47mCHF  10.56m
USD 13.61mSEK 11.58mEUR 11.47mCHF 10.56m
Net asset value, weekly, from a common 10.0m start. The dashed line is the starting capital: books sit below it while their currency's policy rate is negative — holding cash costs money — and compound above it once rates turn. 2016–2025
THE INSTRUMENT

One note, two stocks

Each position is a note on the worse performer of two S&P 500 companies. The note pays a fixed coupon while both stocks hold up, redeems early at par once the worse one stands above its starting level on a quarterly check, and returns full capital at six months unless the worse stock has fallen below half its starting value at that final observation. Losses column: how many notes crossed that line, out of the notes that ran their full term to an observation.

EXHIBIT 02

The books

One continuous simulation per currency, held to contractual runoff. All figures gross.

USD

United States Dollar

3.14%

annualised, gross

The deepest book: admission requires several independent rules to agree, sizing fills what each week can actually absorb, and the dollar rate era gave the strategy something to buy.

Total gain
3.61m
Notes
111
Losses
0 of 6
Max decline
4.60%
Invested
21%
YearGainValue
201664k10.06m
201793k10.16m
2018117k10.27m
2019388k10.66m
202074k10.74m
2021−20k10.72m
2022415k11.13m
2023687k11.82m
2024661k12.48m
20251.13m13.61m

SEK

Swedish Krona

1.48%

annualised, gross

Rate-blind gates in a negative-rate decade: the book waited out six lean years, then cleared par in 2023 once higher rates fed the coupon floor.

Total gain
1.58m
Notes
69
Losses
0 of 2
Max decline
4.42%
Invested
14%
YearGainValue
2016−64k9.94m
2017−68k9.87m
2018−70k9.80m
2019−2k9.80m
202015k9.81m
2021−39k9.77m
2022199k9.97m
2023493k10.46m
2024638k11.10m
2025476k11.58m

EUR

Euro

1.39%

annualised, gross

Euro funding was negative into 2022: six lean years priced the cost of waiting before the book cleared par in 2023.

Total gain
1.47m
Notes
65
Losses
0 of 4
Max decline
4.63%
Invested
13%
YearGainValue
2016−31k9.97m
2017−35k9.93m
2018−37k9.90m
2019−1k9.90m
2020−24k9.87m
2021−16k9.86m
202255k9.91m
2023383k10.29m
2024655k10.95m
2025523k11.47m

CHF

Swiss Franc

0.55%

annualised, gross

Franc funding rarely cleared the coupon bar: the book held cash for most of the decade, then finally found coupons worth owning once rates turned.

Total gain
562k
Notes
40
Losses
0 of 2
Max decline
4.88%
Invested
10%
YearGainValue
2016−73k9.93m
2017−72k9.85m
2018−74k9.78m
2019−33k9.75m
2020−39k9.71m
2021−34k9.68m
202231k9.71m
2023360k10.07m
2024356k10.42m
2025139k10.56m

Two figures deserve a word. A negative year in a book that held mostly cash is not a trading loss: for much of the decade the franc, euro and krona carried negative policy rates, so cash itself paid to wait, and those carrying costs are published like everything else. Losses counts notes that finished below their protection barrier; most notes are called back early at a gain, so the denominator is the few that ran their full term to a barrier observation. Max decline is a weekly model mark on open positions, not a dealer bid; realized losses were zero in every book.

EXHIBIT 03

The range

Five postures of one discipline. The bar is measured risk, one to ten — computed from loss evidence, barrier proximity, drawdown, leverage and delegated authority, not assigned.
10.0m10.5m11.0m11.5m12.0m12.5m13.0m13.5m14.0m2016201720182019202020212022202320242025AI Select  13.95mYield+  13.79mIncome+  13.61m
Income+ 13.61mYield+ 13.80mAI Select 13.96m
The measured USD postures from the same 10.0m start; only Income+ runs in other currencies.2016–2025

Income+

USD · EUR · SEK · CHF

Unlevered, one note at a time, admitted only where the deterministic stack agrees.

USD · 3.14% · 111 notes · 0 losses measured across the decade
Measured risk2/10

Yield+

USD

The engine's admission rules are audited one by one: each must earn its keep in measured risk avoided. The first release - a rally-pattern rule that blocked zero real losses across a decade of evidence - is measured live: more notes admitted, zero barrier losses, the gain currently capped by the book's own position limit.

USD · 3.28% · 121 notes · 0 losses supply arm measured across the decade - under adjudication against a challenger release
Measured risk4/10

Income+ Levered

USD

Balance-sheet leverage on the Income+ engine with financing modelled explicitly. Tested at 1.5x and not evidenced: the single-name limit binds long before the leverage does.

not yet measured tested — no qualifying measurement
Measured risk6/10

AI Select

USD

The deterministic stack keeps admission authority; a language model chooses among what it allows.

USD · 3.40% · 92 notes · 0 losses first decade measured - single seed, under test
Measured risk5/10

AI Desk

USD

A model runs the desk from a written market brief, sizing and structuring its own book.

not yet measured experimental
Measured risk8/10
APPENDIX

The ten inputs

Decisions read inputs as dated at decision time; that data discipline is itself part of the experiment.
01

Index membership

The S&P 500 by dated membership from 2016, including companies that later left the index, so nothing is chosen with hindsight. Weekly coverage is bounded by which names carry a priced volatility surface that week.

02

Prices, splits, dividends

Daily open, high, low, close and volume for every member, with corporate actions applied as they were traded.

03

Implied volatility

Option-implied volatility surfaces by expiry and strike, read at the decision date. What the options market charged for risk that day, not what volatility turned out to be.

04

Interest rates

Policy and short-term funding rates in each currency — Federal Reserve, European Central Bank, Swiss National Bank and Riksbank. They set what idle cash earns, and what a note must pay to be worth owning.

05

Yield curve

The two-year to ten-year spread, as a read on whether the market expects tightening or relief.

06

Volatility and credit

The equity volatility index and high-yield credit spreads, used to classify the market regime a decision is made in.

07

Inflation and employment

Consumer prices and unemployment are tracked as context. They are revised after publication, so they inform research rather than trade decisions.

08

Dealer quotes

Requests for quote from bank counterparties, used to calibrate the pricing model where quote panels exist — calm markets first, with stressed-market panels still being collected.

09

Correlation

Measured between the two underlyings of every candidate pair from trailing returns, because a worst-of note is a bet on how two companies move together.

10

Risk score

One to ten, scored against the evidence: realised loss experience, proximity to the protection barrier, drawdown, leverage, and how much decision authority is delegated.