RFC Summary
- OPEN v1.1 indexes top-10 Universe projects, but exposes diversification, weighting, and clipping risks.
- Proposed fixes include tighter caps, better efficiency metrics than TVL, and alternatives to zero-clipping.
- RFC v1.2 invites community input on caps, metrics, growth measurement, and clipping tradeoffs.
How v1.1 Works
- OPEN Universe: Anyone can propose additions to the OPEN Universe whitelist. Candidate projects move to OPEN Universe after vlSQUILL Snapshot approval (see process here).
- OPEN Rules: Top 10 Universe whitelist projects are indexed following OPEN Rules (v1.1 methodology detailed in Table 1 below)
Projects are tracked on v3 Metrics: $OPEN Universe: by glyph
Table 1: OPEN Index v1.1 Rules
| Rule | v1.1 Method | Data Source |
|---|---|---|
| OPEN Universe whitelist inclusion | Universe whitelist application → RFC → vlSQUILL Snapshot approval | Manual calculation |
| Number of constituents | Up to 10 from OPEN Universe whitelist, ranked by index weights | n/a |
| Rebalancing cadence | Quarterly, calendar year | n/a |
| Index Weight 1 | 20% — Liquidity efficiency = constituent liquidity / OPEN market cap | DeFiLlama DEX liquidity; CoinGecko market cap |
| Index Weight 2 | 60% — Value efficiency = constituent TVL / FDV | DeFiLlama TVL; CoinGecko FDV |
| Index Weight 3 | 20% — Growth velocity = YoY TVL growth | DeFiLlama TVL |
| Zero/negative value clipping | Negative values clipped to zero; positives only weighted | Manual calculation |
| Component weight bands | ≤40% max, ≥1% min at quarterly rebalance; interim resets via governance | Manual calculation |
| Onchain rebalance approval | vlSQUILL approved | Onchain / Reserve app |
v1.1 Problem
- Diversification risk: permits a single constituent to reach 40% of index weight. Consider the rationale and tradeoffs of cap at 35%, 30% or 25%.
- Weighting risk: TVL varies too much by protocol mechanics; revenue and P/S proposed as more impactful inputs.
- Clipping risk: Zero/negative value clipping loses signal; consider deviation from median or worst-performer to preserve full spread or z-score mapping to preserve underperformance without discarding data.
Problems and suggestions are further unpacked in OPEN Rules v1.2, request for comments Jan 2026. If you’d like to add your input via a column to the document, just request access in the google sheet.
Call to action
This RFC invites your input in the comments on four questions:
-
Diversification risk: What maximum and minimum constituent weights do you recommend, and what are the tradeoffs? Please cite supporting evidence where available.
-
Weighting risk: For the Value Efficiency weight, how should the numerator and denominator be changed using a standardized, publicly available metric from DeFiLlama without customization? Please provide supporting arguments.
-
Weighting risk: For the Growth Velocity weight, how should the numerator and denominator be changed using a standardized, publicly available metric from DeFiLlama without customization? Please provide supporting arguments.
-
Clipping risk: should this approach change, and if so, what alternative is recommended and why? Please include tradeoffs and supporting rationale.