NQT: Tradings Future
AI agents seamlessly integrated with quantitative trading
for unprecedented market insight and adaptive execution.
Beyond Automation
AI-Native Trading Engine
NQT fuses proprietary algorithms with premium infrastructure for
predictive insights, autonomous decisions, and flawless execution
Multi-Source Data Fusion System
Real-time on-chain data processing
Exchange depth market analysis
Social media sentiment monitoring
Macroeconomic indicator integration
AutoGen Agent Cluster
Prediction Agents: Market trend forecasting
Strategy Agents: Trading strategy generation
Execution Agents: Trading execution optimization
Risk Management Agents: Real-time risk monitoring
Multi-Exchange Integration System
CEX intelligent trading interface
DEX liquidity optimization routing
Cross-chain asset bridging
Gas-optimized execution system
Automated Evolutionary Learning System
Strategy performance evaluation
Dynamic model updates
Adaptive parameter adjustments
Alpha factor discovery
Tokenomics
Roadmap
👥
2024 Q4
Core Team Formation
🔧
2025 Q1
Infrastructure Development
🧪
2025 Q2
Alpha Testing
🚀
2025 Q3
Mainnet Launch
📈
2025 Q4
Marketplace Launch
🔄
2026 Q1
Institutional API
🌐
2026 Q2
Ecosystem Expansion
Completed
In Progress
Upcoming
Team
Senior AI Research Engineer 5 years of quantitative trading system development experience
Jay Rayleign
CEO & Head of AI Research
Former Developer at the Ethereum Foundation Blockchain Security Expert
Sarah Kim
CTO & Blockchain Architect
Head of Quantitative Strategy 5 Years of Experience in Financial Technology
Michael Ivanov
COO & Head of Quantitative Systems
