SynaptAI Docs
  • Introduction
    • Project Overview
    • Vision & Mission
    • Why SynaptAI?
  • Market Background
    • Problems in Current Crypto Investment
    • Rise of AI in Financial Markets
    • Opportunities in AI + Web3
  • Platform Overview
    • How SynaptAI Works
    • AI Agent Capabilities
    • Use Cases
  • Core Features
    • Real-time Crypto Insights
    • Chat-based Trading Advisor
    • Predictive Signal System
    • Risk Assessment & Alerts
  • Token Economy ($SPAI)
    • Token Utility
    • Token Allocation
    • Vesting Schedule
    • Use of Funds
  • Technology Stack
    • AI Engine
    • BSC Integration
    • Privacy & Data Handling
    • Security Framework
  • Roadmap
  • Team & Partners
  • Conclusion
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  1. Core Features

Chat-based Trading Advisor

Through natural language interactions, users can consult the AI just like they would talk to a human analyst:

  • Ask questions like “Is ETH bullish this week?” or “What’s the best entry point for SOL?”

  • Get actionable answers, not just data dumps

  • Includes visual explanations (charts, indicators) and plain-language summaries

  • AI learns from repeated user queries to personalize responses over time

This feature lowers the barrier for non-technical users and makes investment analysis instantly accessible.

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Last updated 9 days ago