OLTA Finance
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AS8
OAIS8 · Equities

AI & Software 8

T2ConvictionKYCS 0.58
Reference net asset value
193.00usd

Calibrated launch value from the rulebook. This basket carries no order panel today.

Family
Equities
Risk profile
Growth
Holdings
8
Weighting
Liquidity adjusted, 25% cap
Rebalance
Monthly
Sharpe grade
0.58
The thesis

Why this basket exists

What the construction is trying to capture, who it is built for, and how it is meant to be sized inside a wider allocation.

The application layer above the silicon. Palantir for government and enterprise AI deployment, Oracle for cloud-database revenue from the AI buildout, Salesforce and Adobe for AI features inside the largest install bases in business software, Snowflake for the data layer, Accenture for implementation services, Shopify for AI-native commerce, AppLovin for AI-driven ad targeting. A bet that incumbents capture AI margin, not just startups.

  • Equities family · Growth risk tier
  • Rule-based, divisor-method NAV

No committee note is published for this basket yet. The text above is its catalogue description; the framing beside it is derived from the mandate and the risk tier.

How it is meant to be used
Built forAllocators who can tolerate 40 to 60% drawdowns for a longer payoff window.
Typical sizing5 to 15% of a crypto sleeve
Weighting ruleLiquidity adjusted, 25% cap
Risk tierGrowth
Composition

8 holdings, drawn to scale

Each tile's area is its weight in the basket, so the picture and the table below it are the same data read two ways.

Weight by area
8 holdings
PLTRon · 20% of the basketPLTRon20%ORCLon · 16% of the basketORCLon16%CRMon · 14% of the basketCRMon14%ADBEon · 13% of the basketADBEon13%ACNon · 11% of the basketACNon11%SHOPon · 11% of the basketSHOPon11%SNOWon · 8% of the basketSNOWon8%APPon · 7% of the basketAPPon7%
Largest holding
PLTRon 20.0%
The single name that moves net asset value most.
Top three
50.0%
Share of the basket held by its three largest names.
Effective holdings
7.27
Equal weight equivalent of 8 named positions.
Published weights
largest first
Published weights for all 8 holdings, largest first.
HoldingShareWeight
01PLTRon20%
02ORCLon16%
03CRMon14%
04ADBEon13%
05ACNon11%
06SHOPon11%
07SNOWon8%
08APPon7%
Total100%
Holdings

Why each name earned its seat

Research notes per constituent: the case for the asset, the regime that suits it, and the risk the seat carries.

  • PLTRon20%Growth

    Palantir is the leading enterprise and government AI-deployment platform. Foundry and AIP position it as the implementation layer for AI-into-operations contracts.

    Performs in AI-software-adoption phases. Sensitive to government-contract-cycle headlines and commercial-growth misses.

    valuation extensiongovernment-cycle exposure
  • ORCLon16%Growth

    Oracle is the legacy enterprise-database franchise and the rapidly growing fourth-largest cloud operator.

    Performs in AI-cloud-adoption narratives. Sensitive to capex-headline pressure and OCI-growth-deceleration concerns.

    capex elevationcloud-share execution
  • CRMon14%Growth

    Research note pending for this holding. Its weight and its role in the mandate are published above.

  • ADBEon13%Growth

    Research note pending for this holding. Its weight and its role in the mandate are published above.

  • ACNon11%Growth

    Research note pending for this holding. Its weight and its role in the mandate are published above.

Show the remaining 3 holdings
  • SHOPon11%Growth

    Research note pending for this holding. Its weight and its role in the mandate are published above.

  • SNOWon8%Growth

    Research note pending for this holding. Its weight and its role in the mandate are published above.

  • APPon7%Growth

    Research note pending for this holding. Its weight and its role in the mandate are published above.

The record

What the numbers say

Simulated on historical constituent prices. A Sharpe is only published once the measured window clears 90 days, and drawdowns keep their sign.

Backtested record
1826 day window
Sharpe grade
0.58Solid
Measured over 1826 days against a bitcoin reference of 0.33.
Total return
+119.0%
Across the full window, simulated.
Max drawdown
−59.5%
Deepest peak to trough. 332 days to recover.
Annualised volatility
29.1%
Standard deviation of daily returns, annualised.
Beta vs bitcoin
0.22
Correlation 0.35.
Effective holdings
7.27
Of 8 named. Equal weight equivalent, from the published weights.
Simulated rebalance
Quarterly
Backtest assumption, not a published cadence.
Jensen alpha
+8.6%
Excess over what beta to bitcoin alone explains.
R squared
0.12
Share of the basket's moves bitcoin explains.
Bitcoin reference · Sharpe 0.33 · max drawdown −76.6%
OCBE100 reference · Sharpe 0.34 · max drawdown −61.1%

Every figure above is simulated on historical constituent prices for a basket that has not traded. It describes how the rules would have behaved, not how they will behave. OAIS8 is part of a public preview.

Loss tail
95% VaR · loss tailhistorical
1-week · 7d−8%
1-month · 30d−17%

Max expected loss over the horizon · 95% confidence · historical distribution. There is a 5% chance the actual loss is larger.

Across timeframes
vs bitcoin
Simulated return for this basket over five windows, with a Sharpe and a comparison with bitcoin wherever the window is long enough to publish one.
WindowReturnSharpevs BTC
Full window+119.0%0.58+0.23
1 year−4.5%−0.18+0.66
6 months−20.1%−1.25−0.57
3 months+5.6%Not graded·

Returns are simulated over each window. A Sharpe is published only once that window clears 90 days, so the shorter rows read Not graded and carry no comparison with bitcoin. Short windows flatter and punish at random; read the full window first and treat the rest as texture.

Risk

What could go wrong

Priced off this basket's own weights rather than off a generic disclaimer, so every figure below can be checked against the table above.

Higher beta than the broad market. Drawdowns of 40 to 60% during risk-off regimes are within historical range. Size accordingly.

Structural flags
3 on this basket
  • Short price historyHigh

    PLTRon, ORCLon, CRMon and 5 more have under a year of usable history. Backtest metrics carry wider error bars.

  • Routing dependenceMedium

    Routes through Dinari (stocks) and Backed Finance (ETFs). Settles on the EVM rail. KYC at the OLTA layer, not available in the US today.

  • Deep historical drawdownMedium

    Max drawdown reached −59% in the backtest window. Size accordingly.

If it goes wrong
effect on net asset value
4 downside scenarios for this basket, and the loss each one would put on net asset value.
ScenarioLoss on net asset value
PLTRon loses half its valueLargest holding, 20.0% of the basket−10.0%Mechanical
The three largest holdings fall 30%PLTRon, ORCLon, CRMon · 50.0% of the basket together−15.0%Mechanical
The deepest simulated fall repeatsRecorded once in the window, 332 days to recover−59.5%Recorded
A bad month, one in twenty95% historical value at risk over 30 days−16.6%Measured

The mechanical rows hold every other holding still, which is the optimistic case. This basket measured 0.35 correlation to bitcoin over its window, which is loose enough that the holdings can move apart. Even so, a shock rarely lands on one name alone. Read the figures as a floor on the damage, never a ceiling.

Further reading

The research behind the construction

Tokenized equity execution is not open yet

Single stocks route through Dinari and ETF coverage through Backed Finance, settling on the EVM rail once identity checks clear. The execution surface for this family arrives with the next release. Composition, weights and the measured record above are current.