Chain Sentinel
An original Web3 wallet risk scanner with a live demo, risk scoring UI, behavior signals, and report-style product surface.
原创 Web3 钱包风险扫描器，支持在线演示、风险评分、行为信号和报告式展示界面。
Open Demo
AI-native Web3 builder
Jiaao Sun
Building intelligent systems for crypto markets, on-chain data, and model-driven automation.
专注 AI 与 Web3 结合，探索量化交易系统、大模型 Agent、链上数据智能和加密原生产品。
Profile
AI, markets, and decentralized infrastructure are becoming one product surface.
I work on systems that turn fragmented data into decisions: market signals, wallet behavior, protocol activity, LLM workflows, and risk-aware automation. My focus is practical engineering, not buzzwords.
我的方向是把市场数据、链上行为、协议事件和大模型能力组合成真正可运行的工具，让 AI 在 Web3 产品中承担研究、分析、监控和自动化执行的角色。
Selected Work
Projects around AI, quant, and Web3 intelligence.
The thread across my work is clear: build systems that can observe, score, explain, and improve.
Quant Trading Systems
Researching modular trading infrastructure: market data ingestion, factor research, backtesting, risk controls, and execution boundaries.
研究模块化量化交易系统，包括行情数据、因子研究、策略回测、风险控制和执行边界。
LLM Agent Workflows
Building agent flows for market research, structured reporting, tool use, retrieval, and long-running monitoring.
构建用于投研、报告、工具调用、检索增强和持续监控的大模型 Agent 流程。
Systems
Technical focus areas.
Risk-aware automation
Agents should assist decisions through clear boundaries, observable outputs, and human-review checkpoints.
On-chain intelligence
Wallet behavior, token flows, approvals, bridges, and protocol events can become practical product signals.
Model-driven products
Good AI products need typed outputs, eval loops, retrieval quality, and interfaces built for repeated use.
Stack
Tools I care about.
Python
TypeScript
JavaScript
React
FastAPI
PostgreSQL
LLM APIs
RAG
Agents
Backtesting
Risk Engines
On-chain Data
Wallet UX
Web3 Security
Contact