Papers
Topics
Authors
Recent
Search
2000 character limit reached

Auto-Balancer: Harnessing idle network resources for enhanced market stability

Published 28 Feb 2025 in cs.CR and q-fin.GN | (2502.20670v1)

Abstract: We propose a mechanism embedded into the foundational infrastructure of a blockchain network, designed to improve the utility of idle network resources, whilst enhancing market microstructure efficiency during block production by leveraging both network-owned and external capital. By systematically seeking to use idle network resources for internally capture arbitrageable inefficiencies, the mechanism mitigates extractable value leakage, reduces execution frictions, and improves price formation across venues. This framework optimises resource allocation by incentivising an ordered set of transactions to be identified and automatically executed at the end of each block, redirecting any realised arbitrage income - to marketplaces operating on the host blockchain network (and other stakeholders), which may have otherwise been extracted as rent by external actors. Crucially, this process operates without introducing additional inventory risk, ensuring that the network remains a neutral facilitator of price discovery. While the systematic framework governing the distribution of these internally captured returns is beyond the scope of this work, reinvesting them to support the ecosystem deployed on the host blockchain network is envisioned to endogenously enhance liquidity, strengthen transactional efficiency, and promote the organic adoption of the blockchain for end users. This mechanism is designed specifically for Supra's blockchain and seeks to maximally utilise its highly efficient automation framework to enhance the blockchain network's efficiency.

Summary

Paper to Video (Beta)

Whiteboard

No one has generated a whiteboard explanation for this paper yet.

Open Problems

We haven't generated a list of open problems mentioned in this paper yet.

Continue Learning

We haven't generated follow-up questions for this paper yet.

Authors (2)

Collections

Sign up for free to add this paper to one or more collections.

Tweets

Sign up for free to view the 2 tweets with 0 likes about this paper.