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johnsxiongs/README.md

John Xiong

Python FastAPI LangChain Node.js Vue Web PostgreSQL Redis Docker macOS SwiftUI CLI Codex Claude

I build QuantAI, an AI investment research assistant for people who follow stocks, crypto assets, market themes, watchlists, and investment theses across the web and iPhone.

Based in Shenzhen. Focused on AI product systems, market research workflows, and shipping useful software end to end.

What I Am Building

QuantAI helps investors and market watchers turn scattered information into clearer research threads.

It is designed for questions like:

  • What changed in this stock, crypto asset, or market theme?
  • Which signals matter, and which ones are noise?
  • What assumptions does this investment thesis depend on?
  • How should a watchlist or thesis evolve as new evidence appears?

QuantAI is research software. It is not a broker, an automated trading bot, or personalized financial advice.

Start Here

Product Areas

  • AI-assisted market research for stocks, crypto assets, themes, and watchlists
  • Research workflows that keep context across follow-up questions
  • Financial data ingestion, market signals, and thesis review
  • Web and iPhone product experiences for self-directed research
  • Subscription, onboarding, and production deployment systems

Technical Strengths

  • AI agents and research workflows: LangGraph, LangChain, tool calling, streaming responses, tracing, and evaluation
  • Backend product systems: Python, FastAPI, SQLAlchemy, SQLModel, Pydantic, PostgreSQL, TimescaleDB, Redis
  • Web apps: Vue 3, TypeScript, Vite, Pinia, Vue Router, Naive UI, Tailwind CSS
  • iPhone apps: Swift, SwiftUI, app state, subscription flows, and App Store release work
  • Product infrastructure: Docker Compose, Traefik, Supabase, Stripe, RevenueCat, Cloudflare, GitHub Actions
  • Market data products: stock research, crypto research, filings, watchlists, signals, and thesis review

How I Work

I like products that make messy decisions calmer. My current work combines AI agents, financial data, full-stack product engineering, and mobile user experience.

The technical stack matters, but the goal is simpler: help people ask better questions before they act on a market view.

GitHub Activity

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  1. QuantAI QuantAI Public

    AI investment research assistant for stocks, crypto, watchlists, and thesis review across web and iPhone.

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  2. johnsxiongs johnsxiongs Public

    John Xiong profile README: QuantAI, AI investment research, web and iPhone product work.