Dudelytics

Binding methodology

How the DPMI works

The DPMI is designed to show how the part of the crypto market backed by active protocols, infrastructure, applications or real-world usage is developing.

Methodology version
DPMI-1.0
Productive Gate
PG-2.0
Eligibility basis of the current composition
ER-2026-08-29.1
Index size
30 productive crypto assets
Weighting
Market capitalization with a maximum of 15% per project at rebalancing
Rebalancing
Monthly on the first calendar day at 00:00 UTC; a missed run is caught up on the next scheduler run.

1. Purpose

The DPMI is not a general altcoin index. It is designed to answer one question: How is the functional, productive part of the crypto market developing? A rising DPMI means the weighted basket of productive crypto projects is above its base level; a falling DPMI means the opposite.

2. Raw data and candidates

CoinGecko is the primary raw-data source. Dudelytics uses market capitalizations, prices, historical price series and categories, but builds its own index from them. CoinGecko does not decide which assets are included.

Candidates are drawn primarily from smart-contract platforms, DeFi, oracles, interoperability, RWA, DePIN, AI infrastructure, Layer 2 and privacy infrastructure. The CoinGecko ID is the unique key.

3. Productive Gate: positive admission, not automatic passage

A candidate is included only after Dudelytics has positively verified that it represents an active productive protocol, network or application. This requires an independent function for third parties and a traceable functional role for the token within the system.

The review is documented in the Dudelytics Eligibility Registry: status, activity, productive class, token role, concise evidence, review date and sources. Unreviewed, outdated or not actively confirmed candidates fail closed and are not included. Positive reviews must be renewed regularly.

4. General exclusions

Bitcoin itself, stablecoins, memecoins, wrapped tokens, bridged representations, pure liquid-staking/staking representations of assets already included, and other technical asset duplicates are excluded.

Also excluded are pure payment, currency or store-of-value coins without an additional productive protocol function, as well as tokenized assets and financial products themselves. An RWA protocol can be productive; a tokenized gold bar or Treasury fund is not automatically a productive protocol.

5. Top 30

After candidate collection, exclusions and the Productive Gate, the 30 largest remaining positively verified projects by current market capitalization are included. Category overlap is allowed; a project can enter the index only once via its CoinGecko ID.

6. Weighting and 15% cap

Projects are generally weighted by market capitalization. No project may receive more than 15% at rebalancing. Excess weight is redistributed proportionally to projects that have not yet hit the cap; the process repeats until all weights comply. Rebalancing weights sum to 100%.

Between rebalances, live weights may drift away from the rebalance weights as prices move.

7. Index level and history

The DPMI launched with a base value of 100. Changes in included assets affect the index according to their weights. Since production launch, history has been maintained centrally on dudelytics.com and shared by the website and app.

The initial seven-day history is explicitly a historical backfill using the current basket and current weights. It does not reconstruct the composition that existed at the time and is therefore marked separately as backfill. Real data points stored after production launch are marked observed.

8. Rebalancing

At 00:00 UTC on the first calendar day of each month, candidates, exclusions, positive eligibility reviews, the Top 30 and weights are recalculated. A rebalance must not create an artificial jump in the index. The new composition is chain-linked to the existing index level; older compositions remain historically traceable.

9. Methodology changes

The DPMI is not changed retroactively to make it look better. Changes to categories, exclusion rules, the Productive Gate or weighting require a new documented version. The rules are project-neutral.

Data structure and public JSON endpoints →

DPMI Holder Quality

30 assets from the evidenced class. DPMI ranking, market-cap weighting, 15% cap and monthly rebalancing. No additional quality weight. Historical ENA inclusion starts no earlier than October 2026.

Current JSON · History JSON · Composition JSON

Dude-VIX / DVIX · DVIX-0.1

DVIX measures mechanical market stress in the productive DPMI universe. The score weights 24h realized volatility at 35%, 24h downside shock at 25%, the average 48h correlation across the seven DPMI sectors at 20%, and seven-day drawdown pressure at 20%. It uses stored observed DPMI/sector-index points only and is not an options-implied volatility index.

Current JSON · History JSON · Methodology JSON

DPMI Family

10. Sector indices · DPMI-SF-1.1

In addition to the main DPMI, Dudelytics maintains seven productive sector indices: DPMI Smart Contract Platforms, DPMI DeFi, DPMI RWA, DPMI AI, DPMI DePIN, DPMI Interoperability and DPMI Privacy & ZK Infrastructure. DPMI Fear & Greed is separate: it is a sentiment/market-breadth indicator, not a sector of its own.

Sector indices use √ Market Cap weighting, are capped at 12.5% per component at regular rebalancing and are published only when at least 10 robust components are available. New compositions are chain-linked without an artificial index jump. New additions normally occur only at the regular monthly rebalance after curated approval; emergency removal remains possible for problematic existing components.

Smart Contract Platforms covers productive programmable execution networks on which third parties can run smart contracts or applications. Inclusion follows the same curated eligibility and rebalancing logic as the other DPMI sectors.

Privacy & ZK Infrastructure: inclusion only when privacy, ZK proof/prover/verification infrastructure or confidential/verifiable compute is an independent core product. Merely using such cryptography inside an otherwise different product is not enough. Scaling-first L2s are not included solely because they use ZK.

Sector histories are observed-only. Missing 24h/7d windows are not extrapolated. DPMI Fear & Greed uses a sector in its sector-participation component only once the sector's 24h change is fully observed.

Why exactly these seven sectors? → · View current DPMI sector indices →

DPMI Family · Benchmark

11. Benchmark comparison · DPMI-BENCH-1.2

The benchmark answers a deliberately narrow question: how is the productive crypto market in the main DPMI developing relative to Bitcoin and the unfiltered overall crypto market? It explicitly does not answer whether the DPMI is the better investment.

Common daily close: the target cutoff for all three series is 00:00 UTC. The DPMI close is the last real observed DPMI point at or immediately before 00:00 UTC, no more than seven minutes old. BTC/USD uses the completed CoinGecko daily point for 00:00 UTC. For the unfiltered overall market, Dudelytics captures CoinGecko /global around the target; the provider's own updated_at must lie within ± ten minutes of 00:00 UTC. Regular five-minute scheduler runs may retry this capture until 00:20 UTC. Target and source time remain decisive; retrieval time is operational metadata. The former 00:40/01:00 finalization state machine is removed.

Series: main DPMI at the observation time; Bitcoin price in USD from CoinGecko; CoinGecko Total Market Cap in USD including stablecoins. The overall market deliberately remains unfiltered so it can contrast with the productively filtered DPMI. DPMI-BENCH-1.2 changes only the retrieval routine from 2026-09-15; the comparison series and common target remain unchanged.

Data integrity: the first complete daily point sets all three series to 100. A value belongs to its source and target timestamp, not to the later technical retrieval time. Missing values are neither interpolated nor filled with previous-day values. Raw observation attempts are logged privately append-only; the public daily dataset contains the canonical values and quality states.

Warm-up phase: publication begins immediately. Until 30 complete daily observations are available, the short history is visibly marked as a warm-up phase; after that the notice disappears. Before 90 complete days, the display remains purely descriptive and receives no Dude take such as “performing better” or “showing structural strength”.

Methodology changes: a change to the main DPMI methodology is visibly marked in the benchmark. Regular monthly rebalances are part of normal index operation and are not dramatized as a methodological break.

View benchmark → · Public benchmark data →

Living methodology

Track changes

Methodology, DPMI and product changes do not disappear into the engine room. The Dude Report documents what was built, repaired or changed in the instrument itself.

Open Dude Report