QIS-Powered ETPs: A Better Product Stack Onchain

QIS-powered ETPs are a practical way to upgrade basket investing for institutional allocators. They combine the distribution advantages of exchange-traded wrappers with the rigor of quantitative portfolio construction.

The core idea is simple: use QIS methodology to continuously improve diversification and risk-adjusted performance, then deploy that logic through programmable onchain vault infrastructure.

In this note, we use the 21Shares Bitcoin Gold ETP and the Vinter ByteTree BOLD1 methodology as a public reference benchmark (21Shares & Vinter methodology), then show how both QIS-driven upgrades and onchain integrations improve risk-adjusted performance step by step.

Starting point: faithful replication of a public benchmark

As a baseline, we reproduce the reference inverse-volatility methodology using sample volatility estimation (Sharpe ratio: 1.22):

This provides a clean baseline for attribution.

QIS upgrade 1: better risk estimation with financial machine learning

The first upgrade keeps the same inverse-volatility construction, but replaces naive sample estimates with skfolio-based routines and shrunk covariance estimation (Sharpe ratio: 1.36):

This improves robustness of risk estimates, especially in noisy regimes.

QIS upgrade 2: move from inverse volatility to minimum volatility

The second upgrade addresses a structural limitation: inverse-volatility weighting does not fully use cross-asset correlation information.

We therefore move to minimum-volatility under the same risk estimation framework (Sharpe ratio: 1.59):

This shifts from sleeve-by-sleeve scaling to optimizing the joint basket.

DeFi upgrade: onchain yield-bearing implementation

The final upgrade comes from implementation. By accessing BTC/XAU-denominated yield-bearing vaults onchain, the strategy keeps the diversification profile while adding an onchain-native return component (Sharpe ratio: 1.74):

Why onchain vault implementation matters

These results are shown on nominal returns only. They do not yet include additional operational efficiency (10s of bps) from automating methodology execution, rebalancing, and controls through Orion smart contracts.

This is the key contrast between offchain basket products (such as ETPs) and onchain DeFi vaults: the portfolio logic may be similar, but the operating model is fundamentally different.

In offchain structures, a meaningful share of cost and friction sits in manual or fragmented operational layers. In vault-based onchain structures, these layers become programmable and continuously executable:

• benchmark maintenance,
• portfolio management operations,
• execution and rebalancing workflows,
• accounting and NAV tracking,
• reconciliation overhead.

As these functions are streamlined, vault-based products can preserve basket exposure while delivering materially better operational efficiency.

Conclusion

Onchain vault implementation is not only a distribution channel, it is a product-improvement engine.

For institutional allocators, the implication is strategic, not incremental. The ability to combine quantitative methodology with programmable operations creates a structurally better product model: faster iteration cycles, tighter risk control loops, and lower operational drag.

Orion Finance Research

References

• 21Shares & Vinter. 21Shares Vinter ByteTree BOLD Indexes Methodology.
• Nicolini, C., Manzi, M., & Delatte, H. (2025). skfolio: Portfolio Optimization in Python. arXiv.
• Ledoit, O., & Wolf, M. Honey, I Shrunk the Sample Covariance Matrix.