Decentralized AI Financial Strategy Protocol v1.0

Redefining the DeFi intelligent decision-making layer

1. Introduction

1.1 Industry Pain Points and Opportunities

The current DeFi ecosystem faces a triple efficiency gap:

1. Information gap: On-chain data is fragmented and difficult for ordinary users to obtain and analyze
2. Execution gap: Strategy implementation depends on programming ability, which has a high threshold
3. Incentive gap: imbalance in the distribution of benefits between strategy developers and users

WhisperFi builds a financial strategy sharing layer through a decentralized AI Agent network, transforming professional-grade quantitative capabilities into composable "strategy Lego" to achieve the democratized production, circulation, and consumption of DeFi strategies.

1.1.1 Data-driven intelligent decision-making needs

The amount of on-chain data has exceeded 1 billion transactions per day, and traditional manual strategies are difficult to cope with high-frequency market changes. AI technology has shown great potential in the field of predictive analysis, but traditional AI models are difficult to adapt to the decentralized nature of Web3. WhisperFi builds a bridge between DeFi and AI through a decentralized AI Agent network.

1.1.2 The urgency of strategy democratization

Currently, DeFi strategies are mainly dominated by institutions and professional developers, and ordinary users lack customization capabilities. WhisperFi makes it easy for anyone to create and use financial strategies through zero-code strategy generation and strategy-as-a-service models.

2. Core Innovation

2.1 Detailed explanation of technical architecture

2.1.1 Strategy Factory Module

A three-level abstract architecture is used to achieve the composability of strategies:

1. Basic primitive layer
   • Standardized DeFi operation interface:swap(), lend(), borrow(), stake()
   • Protocol Adapter Mode: Connecting different DeFi protocols through a unified interface
   • Atomic transaction encapsulation: supports atomic execution of complex operations
2. Technical implementation:
   • Use Solidity to write protocol adapters, supporting mainstream protocols such as Uniswap V3, Aave V3, Curve, etc.
   • Atomic transactions are implemented through EIP-1153 recoverable storage technology, reducing gas consumption by more than 30%
3. Policy Template Layer
   • Pre-trained model library:
     • Statistical arbitrage: cross-protocol spread arbitrage based on cointegration theory
     • Liquidity Optimization: Uniswap V3 Market Making Strategy Based on Reinforcement Learning
     • Risk hedging: Black-Scholes option pricing model automatic hedging
   • Model interpretability tools: SHAP value analysis, feature importance visualization