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BNB AI Hack with AITECH - $10,500 Reward Pool

This challenge invites participants to develop AI agents on Agent Forge

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Track Description

  1. On-Chain Data Agent: Focuses on efficiently storing, querying, and analyzing BNB Chain data using vector databases to identify trends and patterns (e.g., in NFTs or inscriptions).

  2. Investor Advisor Agent: Specializes in analyzing historical trading data and user risk profiles to generate personalized investment strategies.

  3. Execution Agent: Concentrates on automating the execution of trading strategies with a priority on speed, cost-efficiency (gas optimization), and security.

Main Objectives/Goals:

The core objective is to create intelligent AI agents for BNB Chain. Each agent has a distinct role:

  1. Data Handling (On-Chain Data Agent): Implement a system to effectively store, retrieve, and analyze BNB Chain on-chain data using vector databases (like pg_vector) to detect meaningful patterns.

  2. Investment Strategy Generation (Investor Advisor Agent): Develop an agent that can understand user trading behavior and risk tolerance to provide tailored investment recommendations.

  3. Automated Trading Execution (Execution Agent): Build an agent that can reliably and securely automate trading strategies, minimizing latency and gas fees.