Anoma-Powered Cross-Chain Strategy Builder

We’re exploring a cross-chain strategy builder that leverages Anoma’s intent-centric architecture to facilitate complex, multi-step trading workflows—particularly for options and derivatives. By harnessing Anoma’s universal intent standard, we aim to enable atomic, privacy-enhanced, and composable financial actions across multiple chains and platforms.

This post outlines our technical design, integration with Anoma’s Intent Machine. We’re seeking feedback from the Anoma community on design trade-offs, solver integrations, and potential future improvements.

1. Problem Statement

  1. Fragmented Liquidity

• Defi liquidity sits scattered across CEXs, various L2 solutions, and specialized DeFi protocols.

• Bridging capital or manually executing on multiple platforms leads to high transaction costs and operational overhead.

  1. Complex, Multi-Step Strategies

• Delta-neutral, principal-protected, or multi-leg strategies often require numerous transactions across different protocols (e.g., staking in Lido, bridging to an L2, opening an options position, hedging on another chain).

  1. Atomic Execution & Privacy

• Traditional DeFi transactions face MEV front-running and partial fills; bridging is also risky with uncertain finality.

• We need an atomic, trust-minimized solution, ideally with ZK-friendly or privacy-preserving features.

2. Proposed Approach

2.1 Intent-Centric Execution (Anoma)

Declarative Model: Users describe what they want (e.g., “Put 20% yield into a BTC call option,” “Auto-roll a covered call strategy”), while Anoma’s solver ecosystem determines how to fulfill those requests.

ZK & Fractal Instances: Leverage Anoma’s fractal instance concept for cross-chain bridging, with potential ZK features to hide strategic details. ( It’s still a bit unclear to me how, I will be need to dig deeper here)

2.2 EIP-7521 Integration

Intent Specification: Each user action is a standard EIP-7521 message, detailing constraints (eg: strike price, expiry, risk tolerance) without specifying the step-by-step mechanics.

Partial State Transitions: This seamlessly fits Anoma’s “universal intent” interface, letting multiple protocols tie into one atomic transaction.

3. Architecture

  1. User Intents (EIP-7521) :

• Users issue high-level requests (e.g., open an options position, roll it weekly, etc.).

• Each intent is cryptographically signed and references specific constraints.

  1. Intent Processing (Anoma) :

• Anoma’s solver ecosystem receives the user’s declarative request and checks for feasibility.

• Validity predicates ensure collateral requirements and user constraints are met.

  1. Liquidity Aggregation :

• Queries CEXs, DEXs, and market maker RFQs to find the best premium and minimal slippage.

• Potential to incorporate bridging if the best liquidity is on a different L2 or chain.

  1. Execution & Settlement (Atomic) :

• Bundles all steps into a single transaction or fractal instance.

• If any step fails (e.g., insufficient collateral, bridging timeout), nothing finalizes.

• If successful, the entire multi-chain trade is committed on-chain.

  1. Anoma Solvers / Fractals :

• Off-chain or fractal chain logic may handle complex computations (e.g., advanced greeks calculations, multi-leg option combos) while ensuring final settlement is tamper-proof.

4. Strategy Builder & Connector Hub

Zapier-Style Workflows

Lego Blocks: Each building block might be “Stake in Lido,” “Open a Call Option,” “Redeem Rewards,” “Bridge to Arbitrum,” etc.

Modular Pipelines: Users can chain these blocks in an Anoma-intent format for advanced logic (e.g., principal-protected strategies, periodic auto-roll).

Principal Protection Example

  1. Deposit principal into fixed-yield (Term Finance/Pendle).

  2. Use only the yield for options speculation.

  3. If the trade goes south, your principal is untouched.

Complex Hedging (Custom)

• Rebalance or auto-roll a covered call on ETH weekly, bridging to a cheaper L2 if gas fees spike on L1.

• Combine with a put hedge if volatility is high.


All the feedbacks are appreciated, I would love to know what everyone thinks about it

Questions:

  1. Are there established patterns , or deterministic way to determine how and how much to incentivize solvers within anoma

  2. We plan multi-step flows (deposit in Pendle, buy an option, re-stake yields, etc.). Would fractal instances help orchestrate these flows more securely and cost-effectively? or my understanding of fractal instances are completely wrong and possibly i don’t even need it !!

  3. Finally all the feedbacks are appreciated <3