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Q9
OQ9 · Strategy

Quality 9

T1Under studyS −0.14
Reference net asset value
2,280.60usd

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

Family
Strategy
Risk profile
Moderate
Holdings
9
Weighting
QualityComposite
Rebalance
Monthly
Sharpe grade
−0.14
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.

Nine names selected on quality factors: market depth, settlement resilience, developer activity and infrastructure maturity. The closest crypto analog to an MSCI Quality equity index. Skews mega-cap (BTC, ETH, SOL, BNB) with a tilt toward established DeFi (AAVE, LINK, UNI).

  • Strategy family · Moderate 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 forGeneralist crypto allocators with a multi-quarter horizon.
Typical sizing20 to 40% of a crypto sleeve
Weighting ruleQualityComposite
Risk tierModerate
Composition

9 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
9 holdings
BTC · 18% of the basketBTC18%ETH · 16% of the basketETH16%SOL · 13% of the basketSOL13%BNB · 11% of the basketBNB11%LINK · 10% of the basketLINK10%AAVE · 9% of the basketAAVE9%TON · 8% of the basketTON8%UNI · 8% of the basketUNI8%ONDO · 7% of the basketONDO7%
Largest holding
BTC 18.0%
The single name that moves net asset value most.
Top three
47.0%
Share of the basket held by its three largest names.
Effective holdings
8.14
Equal weight equivalent of 9 named positions.
Published weights
largest first
Published weights for all 9 holdings, largest first.
HoldingShareWeight
01BTC18%
02ETH16%
03SOL13%
04BNB11%
05LINK10%
06AAVE9%
07TON8%
08UNI8%
09ONDO7%
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.

  • BTC18%Core anchor

    Bitcoin is the only crypto asset that clears the institutional bar on every dimension: deepest order books, longest track record, lowest custody friction.

    Strongest in flight-to-quality and pro-risk macro phases when liquidity is abundant. Underperforms in altcoin rotations and AI-narrative cycles.

    concentration risk
  • ETH16%Core anchor

    Ethereum is the only smart-contract platform with the TVL, developer mindshare, and settlement depth to count as core infrastructure.

    Outperforms BTC in DeFi cycles and L2 adoption waves. Lags when narratives shift to alt-L1s or when L2 fragmentation eats into mainnet fee capture.

    fee-revenue regime risk
  • SOL13%Growth

    Solana is the highest-throughput smart-contract platform in production and the credible challenger to Ethereum at the application layer.

    Highest beta of the L1 majors. Outperforms in retail-led risk-on phases. Drawdowns sharper than BTC in flight-to-quality regimes.

    historical outagesvalidator concentration
  • BNB11%Core anchor

    BNB captures the cash flow of the largest centralized crypto exchange. Quarterly burn-and-buy gives it the cleanest token-to-revenue link of any major.

    Tracks Binance volume more than crypto beta. Faces regulatory tail risk when Binance is under enforcement scrutiny.

    regulatory tail riskexchange concentration
  • LINK10%Infrastructure

    Chainlink is the dominant oracle network and the only institutional-grade middleware token in the catalogue. CCIP makes it the de facto oracle layer for tokenized assets.

    Performs in oracle-narrative phases and RWA cycles. Underperforms in pure-crypto retail rotations where infrastructure is unfashionable.

    middleware competition
Show the remaining 4 holdings
  • AAVE9%Yield

    Aave is the largest lending protocol in DeFi by TVL and the canonical on-chain credit cash-flow asset.

    Performs in DeFi-led cycles and high-utilization lending regimes. Underperforms when leverage demand collapses.

    smart-contract exposure
  • TON8%Growth

    TON is the Telegram-native blockchain with the largest captive user base in crypto. The Telegram integration is a distribution advantage no other L1 can replicate.

    Best in adoption-narrative phases driven by Telegram launches. Lower correlation to BTC than alt-L1 peers because of the distinct user base.

    Telegram product dependenceregulatory exposure
  • UNI8%Yield

    Uniswap is the largest DEX by spot volume and the canonical on-chain trading-fee asset. The fee switch in v4 routes a share of trading fees to UNI holders.

    Performs in retail-trading cycles. Underperforms when volume shifts to centralized venues or to perpetuals.

    fee-switch governance risk
  • ONDO7%Yield

    Ondo Finance is the largest tokenized treasury issuer and a category-defining brand in the RWA stack.

    Performs in RWA-narrative phases and high-rate regimes. Underperforms in pure-crypto altcoin cycles and if rate cuts compress treasury yields.

    regulatory uncertaintyrate-cycle sensitivity
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
656 day window
Sharpe grade
−0.14Negative
Measured over 656 days against a bitcoin reference of 0.33.
Total return
−12.7%
Across the full window, simulated.
Max drawdown
−61.9%
Deepest peak to trough. 417 days to recover.
Annualised volatility
52.8%
Standard deviation of daily returns, annualised.
Beta vs bitcoin
1.23
Correlation 0.87.
Effective holdings
8.14
Of 9 named. Equal weight equivalent, from the published weights.
Simulated rebalance
Quarterly
Backtest assumption, not a published cadence.
Jensen alpha
−15.9%
Excess over what beta to bitcoin alone explains.
R squared
0.76
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. OQ9 is part of a public preview.

Loss tail
95% VaR · loss tailhistorical
1-week · 7d−13%
1-month · 30d−27%

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−12.7%−0.14−0.50
1 year−34.4%−0.68+0.15
6 months−27.4%−0.99−0.31
3 months+16.8%2.10−1.30
1 month+6.6%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.

Drawdowns of 30 to 50% are within historical range during cycle bottoms, tracking the broader crypto market. Family-standard caps and rebalancing rules apply.

Structural flags
3 on this basket
  • Short price historyMedium

    ONDO have under a year of usable history. Backtest metrics carry wider error bars.

  • Deep historical drawdownMedium

    Max drawdown reached −62% in the backtest window. Size accordingly.

  • Pre-live statusLow

    Second Wave index. NAV is computed but the basket isn't yet open for live allocation.

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
BTC loses half its valueLargest holding, 18.0% of the basket−9.0%Mechanical
The three largest holdings fall 30%BTC, ETH, SOL · 47.0% of the basket together−14.1%Mechanical
The deepest simulated fall repeatsRecorded once in the window, 417 days to recover−61.9%Recorded
A bad month, one in twenty95% historical value at risk over 30 days−26.7%Measured

The mechanical rows hold every other holding still, which is the optimistic case. This basket measured 0.87 correlation to bitcoin over its window, so its holdings tend to fall together rather than one at a time. Read the figures as a floor on the damage, never a ceiling.

Further reading

The research behind the construction

Worth a second look later

OQ9 is under methodology review, so it carries no buy action today. The weights and the cadence are still being settled, and publishing an order panel over rules that are about to change would be the wrong kind of confidence. Everything above stays on the page while the work runs: the composition, the measured record and the risk flags all move with the research.