AlgoAgent
  • WHITEPAPER
  • 1. Digital Currency Quantitative Trading
    • 1.1 Quantitative Trading
    • 1.2 Digital currency and quantitative trading are a natural fit
    • 1.3 The prospects for digital currency quantitative trading are enormous
    • 1.4 The current situation of the quantitative trading market
      • 1.4.1 A large number of exchanges, chaotic trading rules
      • 1.4.2 The trading time is excessively long
      • 1.4.3 Extremely Immature Technology Infrastructure
  • 2. AI Agent Quantitative Intelligent Trading
    • 2.1 Artificial intelligence is the trend of the future
    • 2.2 Quantitative intelligent trading of digital currencies using AI Agents will become a trend
  • 3. AlgoAgent
    • 3.1 AlgoAgent Introduction
    • 3.2 AlgoAgent Development History
    • 3.3 Trading strategies and indicators supported by AlgoAgent
    • 3.4 AlgoAgent AI Agent Quantitative Trading Algorithms
      • 3.4.1 Sell-off Detection
      • 3.4.2 Wall Detection
      • 3.4.3 Variable shooting (buying spike kill)
    • 3.5 AlgoAgent Advantages
      • 3.5.1 Full range of management services
      • 3.5.2 Multiple security protections
      • 3.5.3 Asset appreciation
      • 3.5.4 Multi-language support
      • 3.5.5 Simple and convenient transactions
      • 3.5.6 Risk-Free High-Frequency Automated Quantitative Trading of Digital Assets
      • 3.5.7 Convenient Funding
    • 3.6 AlgoAgent Service Carrier
      • 3.6.1 AlgoAgent Intelligent Platform
      • 3.6.2 Digital Asset Bank Card
      • 3.6.3 AlgoAgent Contract Token
  • 4. Tokenomics
  • 5. Roadmap
  • 6. Team Introduction
  • 7. Risk Warning
  • 8. Disclaimer
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5. Roadmap

Phase One: By gathering celebrities and companies from various fields who recognize the value of cryptocurrencies, AlgoAgent raised initial funding and assembled a team. Through its strong operational team, AlgoAgent utilized quantitative trading to achieve net profit growth in the early stages, multiplying the initial funding exponentially.

Q3 2024 (Achieved)

Phase Two: Develop and test the AI Agent Quantitative DApp platform, and officially launch it.

Phase Three: Distribute rewards and incentives to early adopters and community members on Discord, Telegram, and Twitter.

Phase Four: Provide Soulbound Tokens (SBTs) to early contributors based on SBTs, rewarding all users for their participation and contributions, and enabling users to grow and benefit alongside AlgoAgent through SBTs.

Phase Five: Make all data on-chain and accessible, and process SBTs based on on-chain data to achieve decentralized trading, decentralized data, automated profits, and open-ended combinations, among other practical application features.

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Last updated 1 month ago