MarketAI
  • MarketAi
  • architecture
    • High-Level Architecture
    • Purpose of AI module
  • Technologies and tools
  • Portfolio management
  • Safety
  • Roadmap
  • Token Details
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  1. architecture

High-Level Architecture

Architectural levels

  1. Data Layer

    • Connection to APIs of various exchanges, as well as to blockchain explorers (Solscan, Etherscan), news aggregators and social networks (Twitter, Reddit).

    • Data storage in a database (SQL/NoSQL) or Data Warehouse where it is available for analysis.

  2. Analytics Layer

    • Machine learning modules for predicting price trends, analyzing news background and identifying market patterns.

    • NLP (Natural Language Processing) tools to analyze the tone of tweets, forum posts and articles.

  3. Application Layer (Application and Services Layer)

    • Modules:

      • Recommendation module: personalized advice on trading, investments, strategy selection.

      • Portfolio Management Module: asset accounting, results display, reporting.

      • Trading Bot module: interaction with exchange APIs, placing orders according to specified rules.

      • Training module: content for beginners and professionals (guides, video lessons, articles).

  4. User Interface Layer (Interface Layer)

    • Web application with dashboards, graphs and settings.

    • Mobile application on iOS and Android for quick access to functions.

    • Chatbots (Telegram) for prompt receipt of information, rates and signals.

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Last updated 2 months ago