Quantagen.AI
  • Getting Started
    • Overview
    • Quick Start
    • Features
    • Vision
    • Roadmap
  • Technical Architecture
    • AI Technology
    • Innovations
  • Core Components
    • Quant α: On-Chain Research Agent
    • Quant β: Technical Analysis Agent
    • Quant γ: Portfolio Manager Agent
    • Collaboration Among Agents
    • DeFAI Agent Lab
  • Tokenomics
    • $QUANT Token
    • Use Cases
    • Economic Model
  • Links
    • Website
    • X
    • Telegram
    • Contract Address
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  1. Getting Started

Roadmap

Foundations & Launch

  • Build of Quantagen with three core agents:

    • Quant α: On-chain research agent.

    • Quant β: Technical analysis agent.

    • Quant γ: Portfolio manager agent.

  • Expand functionality with enhanced dashboards for real-time updates and insights.

  • Rollout of collaborative workflows among agents to enable synchronized decision-making.

  • Deployment of $QUANT token with basic utility features.

  • Launch of Agent Lab (beta): Custom agent creation with a no-code interface.


Expansion & Refinement

  • Integrate advanced features into Quant α, including multi-chain data analysis and enriched narrative tracking from social platforms.

  • Enhance Quant β with AI-driven risk assessment for portfolio optimization.

  • Introduce Quant γ's predictive portfolio recommendations for trending tokens.

  • Gamify user interactions with leaderboard tracking for portfolio performance.

  • Introduce staking mechanisms for $QUANT, providing rewards for active ecosystem participation.

  • Launch Agent Lab full version, allowing users to monetize their custom agents.

  • Host community-driven DAO discussions to shape future updates.


Ecosystem Growth

  • Expand the Agent Marketplace with pre-built and user-created agents available for purchase and licensing.

  • Integrate AI-powered market sentiment analysis into Quant α.

  • Introduce multi-language support for global accessibility.

  • Rollout cross-platform capabilities, enabling agent access.

  • Begin partnership initiatives with major blockchain platforms to onboard institutional users.

  • Launch educational content to help users maximize their agent potential.


Decentralized Evolution

  • Transition to a fully decentralized infrastructure for agent operations and data processing.

  • Introduce revenue-sharing mechanisms for custom agent creators.

  • Continuously refine AI algorithms for improved performance.

  • Expand ecosystem partnerships to include DeFi protocols and NFT platforms.

  • Shape the future of crypto intelligence by aligning user needs with cutting-edge AI advancements.

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Last updated 3 months ago