Quantum Markets Revolutionize Decision Making with Capital Efficiency

Background

Today's decision markets face a significant capital efficiency problem. Each new proposal requires fresh liquidity, forcing traders to spread their capital thinly across multiple markets. For example, evaluating 700+ Ethereum Improvement Proposals (EIPs) with $1M would leave traders with less than $1,500 per market. Quantum markets solve this by allowing traders to use their full capital on each proposal.

Core Mechanism

Quantum markets enable permissionless creation of tradable proposals for a decision, such as "Which EIP should Ethereum implement next?" Traders deposit funds and receive tradable credits for all current and future proposals. The market predicts outcomes, and the best proposal is selected based on predefined criteria (e.g., highest ETH price).

Example: EIP Selection

1. Proposal Markets: EIP 1, EIP 2, and EIP 3 predict ETH prices of $3200, $3000, and $100, respectively.
2. Trader Action: Alice corrects inefficiencies, raising EIP 2 to $3500 and EIP 3 to $3000.
3. Outcome: EIP 2 passes, and markets for EIP 1 and 3 revert.

Example: Token Launchpad

Quantum markets can evaluate millions of token proposals per launch without additional capital. Traders predict outcomes (e.g., "Will this token reach $50m market cap within a week?"), and the best token is selected.

Flexibility and AI Integration

Quantum markets support various market constructions (binary, continuous, AMM-based) and dynamic participation. AI agents can propose and trade on ideas without liquidity constraints, enabling scalable, decentralized decision-making.

Use Cases

1. Agent Tweets: Maximize engagement.
2. On-Chain Vaults: Optimize trades for highest token price.
3. EIP Selection: Choose proposals boosting ETH price.

Code

Starter repos are available for Solidity and Solana/SVM.

Conclusion

Quantum markets unlock scalable, capital-efficient decision-making, paving the way for AI and human collaboration in decentralized systems.