STOXX® DIGITAL ASSET BLUE CHIP INDEX
Index description

The STOXX Digital Asset Blue Chip Index tracks a diversiﬁed basket of digital assets, utilizing crypto native metrics
to select those which serve as a reﬂection of the crypto
universe today. The index tracks the performance of thoseassets which are deemed to be “blue-chip” in termsof quality, activity, robustness and financial strength.

Key characteristics

Assets are selected based on a multi-step procedure
which seeks to identify the strongest and most representative assets in each eligible sector of the Bitcoin Suisse
Global Crypto Taxonomy (GCT). At each review, a setof crypto-speciﬁc review metrics are calculated and used
to rank the assets within their respective sectors, with this,in turn, determining the ﬁnal index composition.

Quality: Screened assets are scored, tracked and ranked against competing assets on a sector level.
Included sectors represent 98% of the crypto markets USD 2T market capitalization.

Diversification: Weight capping scheme limits exposure to larger assets.

Transparent: Asset selection incorporates a quantitative fundamental analysis of on-chain data
in a multi step process.

Sector consideration: Taxonomy based sector segmentation, enabling like-for-like asset comparison
against common on-chain metrics.
Executable asset pricing: Robust pricing methodology based on executed trades from the twohighest rated exchanges at any point in time.

Digital assets made accessible

The Bitcoin Suisse Global Crypto Taxonomy makes the vast digital asset industry accessible by providing
systematic structuring of assets into 6 sectors (see below) and 28 subsectors.
Cryptocurrency

General Purpose
Smart ContractPlatform

Decentralised
FinanceUtility

Tokenized
Asset

CultureBlue chip approach

Selection methodology incorporates crypto native metrics to measure the inherent quality of assets.
AgeThe age of a crypto
asset helps gauge
the commitment
to the project
and adoption
by the market.

Total Value
SecuredActiveAddresses

EconomicActivity

DeveloperCommunity

The more value
a protocol secureson its blockchain,
the greater the trust,adoption and inherent
applications the protocol has in securingtransactions validity
and immutability.

Number of activeaddresses is used
to measure adoption.
This metric is measured
by counting the numberof unique sending
blockchain addresses.

Strong fee revenue
denotes usage andadoption, in addition
to gauging the ongoing
concern of the protocol and resiliencein a competitivemarket landscape.

The developer
community is a measureof innovative activity,
growth and ossification
at the same time.

Index methodology

UniverseThe list of eligible tokens is derived from all assets classified under the Bitcoin Suisse Index
Reference Classification List (xRCL), which covers over 300 assets.
Selection

Assets are selected based on a multi-step procedure which seeks to identify the most representative assets per sector:
1. Acceptance criteria
Top 75; two eligible exchanges; BTC & ETH at least one FIAT trading pair, excluding wrapped,liquid staked, liquidity pool tokens, other TradFi instrument, stablecoins and privacy coins.

2. Determined criterion ranking per sector
Criterion: Age, Total Value Scored, Developer Community, Active Addresses and Economic Activity.
3. Create composite score per asset
Tokens which rank in the top 1/2 of the sector in 4 out of 5 criteria are selected to bein the index portfolio.

WeightingMarket capitalization with capping at 30%.1

Review

Quarterly (March, June, September and December), based on the eligible universe determinedbi-annually.

Pricing methodology

Selection of principal exchange

The top two exchanges based on the Decay Volume
Adjusted Score (DVAS):
Base Exchange Score (BES)(Security, Legal, Financial Track Record)

Volume Adjusted Score (VAS)
Decayed Volume Adjusted Score (DVAS)

1⫻ Volume
Adjustment
FactorCalculation of price

The arithmetic average of the last executed trade prices
from the principal exchanges.

Pi,t =(1P+P
2 t,PE1 t,PE2⫻ Decay
Factor

Weights are capped at 30% in each quarterly review, any asset that exceeds that threshold intra review will be resetat the following rebalance.

)Performance time series
2,000
1,500
1,000
5000Mar
2021

MayJulSep

Sector weighting

Nov

Jan
2022

MarMayJul

Sep

Nov

JanMarMay
2023
STOXX Digital Asset Blue Chip Index (in EUR)

Jul

Subsector weighting
1.5% 22.6%

2.6%
61.4%

336.0%■ General Purpose SmartContract Platform■ Cryptocurrency■ Utility

Source: STOXX, June 28, 2024.

Top 5 components

SepNovJan2024MarMay

336.0%■ Payment Coin
■ Layer 1■ Layer 2

59.9%■ DataSource: STOXX, June 28, 2024.

TokenName

Ethereum

BTC

Sector

General Purpose Smart Contract Platforms

Subsector

Layer 1

WeightBitcoin

Cryptocurrency

Payment Coin

29%

SOL

SolanaGeneral Purpose Smart Contract Platforms

Layer 119%

XRP

RippleCryptocurrency

Payment Coin

7%

ADA

CardanoGeneral Purpose Smart Contract Platforms

Layer 1

4%

ETH

31%

Source: STOXX, June 28, 2024.
STOXX Ltd. (“STOXX”), ISS STOXX Index GmbH (“ISS STOXX”), Deutsche Boerse Group and their licensors, research partners or data providers do not make any warranties or representations, express or implied, with respect to the timeliness, sequence, accuracy, completeness, currentness, merchantability, quality or ﬁtness for any particular purpose of its index
data and exclude any liability in connection therewith. STOXX, ISS STOXX, Deutsche Boerse Group and their licensors, research partners or data providers are not providing investment
advice through the publication of indices or in connection therewith. In particular, the inclusion of a company in an index, its weighting, or the exclusion of a company from an index,
does not in any way reﬂect an opinion of STOXX, ISS STOXX, Deutsche Boerse Group or their licensors, research partners or data providers on the merits of that company. Financial
instruments based on the STOXX® indices, DAX® indices or on any other indices supported by STOXX are in no way sponsored, endorsed, sold or promoted by STOXX, ISS STOXX,
Deutsche Boerse Group or their licensors, research partners or data providers.

This document contains index performance data based on backtesting, i.e. calculations of how the index might have performed prior to launch if it had existed using the sameindex methodology and based on historical constituents. Backtested performance information is purely hypothetical and is provided in this document solely for information
purposes. Backtested performance does not represent actual performance and should not be interpreted as an indication of actual performance.

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