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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System Monitoring

Selen AI incorporates advanced monitoring and anomaly detection to ensure reliable performance and protect users from potential risks:

  • Health Probes: Continuous system checks are conducted to detect any service degradation or downtime, ensuring optimal performance across all components.

  • Stuck-Order Killer: This feature automatically cancels trades stuck in a pending or mempool state beyond a predefined timeout, minimizing the impact of execution delays.

  • Abnormal Slippage Sentinel: Selen AI monitors slippage and triggers alerts or blocks execution if it exceeds statistical norms, safeguarding users from price manipulation or front-running attacks.

These real-time health checks and safeguards enhance the overall reliability and security of trading on Selen AI.

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Last updated 12 days ago