CandleAgent
  • About CandleAgent
    • Key Challenges in the Crypto Market
    • About CandleAgent
      • Vision & Belief
  • More
    • Agents Base Solution
      • Technical Analysis Engine
      • Signal Generation and Automated Posting
      • Agent User Interaction
      • Analysis to Execution
    • Core Technologies
    • Business and Operating Model
    • Tokenomics
    • Roadmap
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Core Technologies

  1. AI Infrastructure

  • Machine Learning Algorithms: Uses Deep Learning models (RNN, LSTM, Transformer) for time-series analysis, identifying trend reversals or continuations.

  • Natural Language Processing (NLP): Applies NLP to news and social data to gauge market sentiment, combining it with technical indicators to provide comprehensive signals.

  1. Data Infrastructure

  • Real-time Market Data: Connects to APIs of various exchanges (Binance, Coinbase, FTX, Bybit, etc.) to retrieve price, volume, orderbook, funding rates, etc.

  • On-chain Analysis Platform: Integrates with tools like Glassnode, Dune Analytics, Nansen to gather wallet data, fund flows, and large transactions.

  • Decentralized Data Storage (IPFS, Arweave) (optional): Ensures resilient data storage and integrity verification.

  1. Social Media Integration

  • Twitter API Integration: Automatically posts tweets about signals and market analysis.

  • Engagement Tools: Manages mentions and hashtags so that the AI chatbot can respond quickly when users tag CandleAgent.

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Last updated 2 months ago