OLTA Finance
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DR8
ODER8 · Sector

Derivatives 11

T2Under studyS −0.77
Reference net asset value
480.60usd

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

Family
Sector
Risk profile
Aggressive
Holdings
10
Weighting
Liquidity adjusted
Rebalance
Monthly
Sharpe grade
−0.77
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.

Eleven perpetuals and DEX venues. HYPE (Hyperliquid) anchors at 22% as the category volume leader, JUP covers Solana DEX flow, DYDX and GMX cover Ethereum perps, AERO leads Base DEX, DRIFT leads Solana perps, UNI is the canonical DEX anchor, SNX and GNS bring structured products, AEVO and INJ round out perp coverage. Aggressive tier because the category trades on funding-rate flips and venue volume cycles. Designed for thematic conviction on the derivatives venue category, BTC-correlated by design. Diversification benefit is intra-sector. Ticker stays ODER8 for backwards compat but the basket carries 11 names after the 2026-05 expansion.

  • Sector family · Aggressive 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 forTactical sleeves only. Position size proportional to conviction.
Typical sizing1 to 5% of a crypto sleeve, tactical
Weighting ruleLiquidity adjusted
Risk tierAggressive
Composition

10 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
10 holdings
HYPE · 28% of the basketHYPE28%JUP · 18% of the basketJUP18%UNI · 12% of the basketUNI12%AERO · 8% of the basketAERO8%DRIFT · 8% of the basketDRIFT8%INJ · 8% of the basketINJ8%AEVO · 6% of the basketAEVO6%DYDX · 4% of the basketDYDX4%GMX · 4% of the basketGMX4%GNS · 4% of the basketGNS4%
Largest holding
HYPE 28.0%
The single name that moves net asset value most.
Top three
58.0%
Share of the basket held by its three largest names.
Effective holdings
6.54
Equal weight equivalent of 10 named positions.
Published weights
largest first
Published weights for all 10 holdings, largest first.
HoldingShareWeight
01HYPE28%
02JUP18%
03UNI12%
04AERO8%
05DRIFT8%
06INJ8%
07AEVO6%
08DYDX4%
09GMX4%
10GNS4%
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.

  • HYPE28%Growth

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

  • JUP18%Growth

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

  • UNI12%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
  • AERO8%Growth

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

  • DRIFT8%Growth

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

Show the remaining 5 holdings
  • INJ8%Infrastructure

    Injective is the Cosmos-based L1 specialised for on-chain derivatives and the iAssets framework for tokenized equities.

    Performs in derivatives and RWA narrative phases. Sensitive to Cosmos ecosystem health and to iAssets adoption.

    narrow product surface
  • AEVO6%Growth

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

  • DYDX4%Growth

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

  • GMX4%Growth

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

  • GNS4%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
804 day window
Sharpe grade
−0.77Negative
Measured over 804 days against a bitcoin reference of 0.33.
Total return
−84.8%
Across the full window, simulated.
Max drawdown
−90.2%
Deepest peak to trough. 728 days to recover.
Annualised volatility
74.6%
Standard deviation of daily returns, annualised.
Beta vs bitcoin
1.44
Correlation 0.76.
Effective holdings
6.54
Of 10 named. Equal weight equivalent, from the published weights.
Simulated rebalance
Quarterly
Backtest assumption, not a published cadence.
Jensen alpha
−61.8%
Excess over what beta to bitcoin alone explains.
R squared
0.58
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. ODER8 is part of a public preview.

Loss tail
95% VaR · loss tailhistorical
1-week · 7d−19%
1-month · 30d−33%

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−84.8%−0.77−0.84
1 year−57.9%−0.83−0.00
6 months−32.6%−0.95−0.27
3 months+26.5%3.14−0.26
1 month+9.7%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.

Highly volatile. Expect 50% or deeper drawdowns. Position size proportional to conviction; this is a tactical sleeve, not a buy-and-hold position.

Structural flags
5 on this basket
  • Top-name weightLow

    HYPE is the largest position at 28%. Capped by methodology but still drives index direction.

  • Short price historyMedium

    JUP, INJ have under a year of usable history. Backtest metrics carry wider error bars.

  • Elevated volatilityMedium

    Backtest annualised vol 75%. See the backtest panel above for the full risk numbers.

  • Deep historical drawdownHigh

    Max drawdown reached −90% 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
HYPE loses half its valueLargest holding, 28.0% of the basket−14.0%Mechanical
The three largest holdings fall 30%HYPE, JUP, UNI · 58.0% of the basket together−17.4%Mechanical
The deepest simulated fall repeatsRecorded once in the window, 728 days to recover−90.2%Recorded
A bad month, one in twenty95% historical value at risk over 30 days−32.8%Measured

The mechanical rows hold every other holding still, which is the optimistic case. This basket measured 0.76 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

ODER8 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.