Selen AI
  • Executive Summary
  • Introduction
    • Background & Motivation
  • Market Opportunity
  • Problem Statement
    • Fragmented Capabilities Across Platforms
  • Lack of AI-Driven Risk Intelligence
  • Poor Usability and Compliance Standards
  • Selen AI Architecture
    • AI / ML Core
  • Data Layers & Connectors
  • Execution Layer
  • Security Mesh
  • Feature Suite
    • Volume-Sniping Engine
  • New-Token Sniper — AI Pattern Recognition
  • Zeta-Market Perpetual Copy-Trading
  • Volume-Booster (AI-Optimised Market Making)
  • AI Pools-Filter for Liquidity Provision
  • Risk Engine & Portfolio Orchestration
  • Automated Buys & Sells
  • Low Funds Detection
  • Security, Compliance & Data-Governance
    • Key Management
  • Access Control
  • Data Security
  • Compliance Toolkit
  • System Monitoring
  • Token Utility & Economic Design
    • Token Utility
  • Roadmap
    • Phase 1: Launch (v 1.0)
  • Phase 2: Expansion & AI Enhancements
  • Phase 3: Multi-Chain Expansion & Advanced Features
  • Phase 4: Customization & Community Governance
  • Links
  • CONCLUSION
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Data Layers & Connectors

To feed its AI systems with accurate and timely information, Selen AI incorporates multiple data ingestion and parsing layers:

  • On-Chain Streams: Continuous monitoring of blockchain events, particularly on Solana, to detect liquidity additions, token launches, swaps, and contract interactions.

  • Decentralized Exchange (DEX) Order Books: Captures price depth, spread, and trade flow data from integrated DEXs for analysis and quote generation.

  • Developer Wallet Telemetry: Tracks the behavior of known developer wallets and privileged addresses to surface early signs of project credibility—or risk.

This multi-source data architecture ensures that Selen AI maintains a comprehensive, up-to-date market picture at all times.

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Last updated 12 days ago