Stock Screener 🇺🇸 🇨🇳 🇭🇰 🇯🇵 🇰🇷 🇹🇼 🇮🇳

A stock screening platform with multi-methodology scans across US, Hong Kong, India, Japan, Korea, Taiwan, and mainland China A-share markets, AI-assisted research, theme discovery from social and news feeds, and real-time market breadth analysis. The supported deployment path is a single-tenant server stack built around Docker, PostgreSQL, Redis, and nginx.

Static demo: https://xang1234.github.io/stock-screener/

The static page is for demo purposes only. It is a read-only daily snapshot with reduced functionality compared with the full application, which includes live workflows such as chatbot, themes pipeline, watchlists, and the full interactive backend.

Highlights

Multi-Market Coverage

Scan and track seven markets — United States (NYSE, NASDAQ, AMEX, S&P 500), Hong Kong (HSI), India (NSE, BSE), Japan (Nikkei 225), Korea (KOSPI, KOSDAQ), Taiwan (TAIEX), and mainland China A-shares (SSE, SZSE, BJSE). Each market runs on its own exchange calendar (XNYS / XHKG / XNSE / XTKS / XKRX / XTAI / XSHG) with independent Celery refresh queues and locks, so US and Asia can hydrate in parallel without stepping on each other. Switch markets from the scan control bar; mixed-universe results are tagged with per-row colored badges.

Market picker in the scan control bar — pick US, HK, IN, JP, KR, TW, or CN and scope to an exchange or index

Color-coded per-market badges in the Symbol column — US (blue), HK (green), JP (yellow); Taiwan, India, Korea, and China follow the same pattern

Deep-dive: ASIA v2 ADRs & runbooks

Multi-Strategy Screening

Run Minervini, CANSLIM, IPO, Volume Breakthrough, Setup Engine, and Custom scans simultaneously with composite scoring across 80+ configurable filters. Save filter presets and export results to CSV.

Results table with composite scores, RS sparklines, multi-screener ratings, and per-row classification columns — GICS Sector, IBD Industry, market themes, and group rank

AI Research Chatbot

Groq-powered research chat with optional Tavily/Serper web search, persistent conversation history, and tool-augmented investigation.

AI chatbot with conversation sidebar and research tools

Theme Discovery Pipeline

AI-powered market theme identification from RSS, Twitter/X, and news feeds. Tracks trending vs. emerging themes, monitors constituent stocks, and alerts on momentum shifts.

Theme discovery with rankings and emerging themes panel

Market Breadth Dashboard

StockBee-style advance/decline analysis with SPY overlay, daily movers (stocks up/down 4%+), and multi-period trend visualization across quarterly, monthly, and 34-day windows.

Breadth chart with SPY price overlay and daily movers

IBD Industry Group Rankings

197 industry groups ranked by relative strength with top movers identification (1W/1M/3M/6M), historical rank charts, and constituent stock analysis.

Industry group rankings with movers panel

Watchlists with Sparklines

Visual performance tracking with RS and price sparklines (30-day trends), price change bars across 7 time periods, drag-and-drop organization with folders, and full-screen chart navigation.

Watchlist with sparklines and price change visualization

Get Started

Docker (Recommended for Servers)

cp .env.docker.example .env.docker
# Edit .env.docker:
#   BACKEND_IMAGE=ghcr.io/<owner>/stockscreenclaude-backend
#   FRONTEND_IMAGE=ghcr.io/<owner>/stockscreenclaude-frontend
#   APP_IMAGE_TAG=v1.1.2
#   SERVER_AUTH_PASSWORD=choose-a-long-random-password
#   GROQ_API_KEY=...
docker-compose -f docker-compose.yml -f docker-compose.prod.yml -f docker-compose.release.yml pull
ENABLED_MARKETS=US,HK,CN scripts/docker-compose-enabled-markets.sh -f docker-compose.yml -f docker-compose.prod.yml -f docker-compose.release.yml up -d --no-build
# Open http://localhost

This path deploys the tagged v1.1.2 GHCR images instead of building locally. After the stack is up, the UI opens to a first-run bootstrap screen — see First-Run Bootstrap for the staged pipeline and market selection.

For local development or contributor laptops, use the default local compose stack instead:

cp .env.docker.example .env
# Edit .env: set SERVER_AUTH_PASSWORD and add at least one LLM API key (e.g., GROQ_API_KEY)
scripts/docker-compose-enabled-markets.sh up

Full guide with homelab, VPS, and GHCR deployment options: Docker Deployment

Starting Only Enabled Market Workers

The default Compose file defines worker services for every supported market, but market-specific workers are behind Compose profiles. Use the helper script to start only the workers for the markets in ENABLED_MARKETS:

ENABLED_MARKETS=US,HK,CN scripts/docker-compose-enabled-markets.sh up -d

For ENABLED_MARKETS=US,HK,CN, Docker starts US/HK/CN market job and user scan workers. IN/JP/KR/TW worker containers are not created. The global data-fetch worker listens only to data_fetch_shared,data_fetch_us,data_fetch_hk,data_fetch_cn.

The first-run bootstrap wizard still persists runtime choices in Postgres. Keep the wizard's enabled markets within the deployment ENABLED_MARKETS set. To add a market later, update ENABLED_MARKETS and recreate the stack:

ENABLED_MARKETS=US,HK,CN,TW scripts/docker-compose-enabled-markets.sh up -d

From Source (Contributors)

See the Development Guide for full backend + frontend + Celery setup.

First-Run Bootstrap

On first launch the app boots into a setup screen — no pre-seeded database required. Pick a primary market (the one that opens first) and any additional enabled markets to hydrate in the background, then click Start bootstrap.

Bootstrap performance note: selecting multiple enabled markets starts separate universe, price, fundamentals, breadth, group-rank, and scan work for each market. This can noticeably slow first load and ongoing data updates on smaller hosts or when upstream market-data providers throttle requests. For the fastest first run, start with one primary market and enable additional markets after the workspace is ready.

Primary-market dropdown and enabled-markets checkboxes on first launch

The orchestrator runs a staged Celery pipeline for the primary market:

1. Universe refresh — seeds the market's symbol list (S&P 500 / Russell / NDX for US via refresh_stock_universe; official exchange feeds for HK / IN / JP / KR / TW / CN via refresh_official_market_universe).
2. Benchmark + price refresh — 5y OHLCV cached in Redis with PostgreSQL fallback.
3. Fundamentals refresh — quarterly and annual financials.
4. Breadth calculation — StockBee-style advance/decline with gap-fill.
5. Group rankings — IBD-style relative strength across 197 industry groups.
6. Feature snapshot (US only) — daily feature rollup used by the Setup Engine.
7. Initial autoscan — seeds a first scan with the default profile so you land on populated results.

Per-stage progress with per-market queue status while the pipeline is running

The workspace opens as soon as the primary market reaches ready. Secondary markets keep hydrating in the background on their own queues (data_fetch_{us,hk,in,jp,kr,tw,cn}) so you can start scanning immediately. Scans against a market that's still refreshing return HTTP 409 market_refresh_active — the UI surfaces this as a wait indicator rather than a failure.

State is persisted in AppSetting under runtime.primary_market, runtime.enabled_markets, and runtime.bootstrap_state (not_started → running → ready). To re-run the wizard, reset runtime.bootstrap_state to not_started.

Configuration

The AI chatbot requires at least one LLM provider API key. Scanning and all other features work without any keys.

Optional web search keys (TAVILY_API_KEY, SERPER_API_KEY) enable the chatbot's research mode.

Full reference: Environment Variables

Application Pages

Key Capabilities

• 6 supported markets — US, Hong Kong, India, Japan, Korea, Taiwan — with per-market exchange calendars, independent refresh queues, and scan-time freshness guards
• First-run bootstrap wizard with live staged progress and background hydration of secondary markets
• 6 screening methodologies with composite scoring (Minervini, CANSLIM, IPO, Volume Breakthrough, Setup Engine, Custom)
• 80+ configurable filters with saved presets across fundamental, technical, and rating categories
• AI chatbot with Groq-first routing, web search research mode, and persistent conversations
• Theme discovery from RSS, Twitter/X, and news sources with AI clustering and lifecycle tracking
• Market breadth dashboard with StockBee-style indicators and historical trends
• 197 IBD industry groups ranked by relative strength with movers and constituent analysis
• Watchlists with RS/price sparklines, multi-period change bars, and drag-and-drop organization
• MCP integration for AI copilot workflows with 12 tools via stdio and Streamable HTTP (details)
• TradingView-style charts with candlestick OHLC and technical overlays
• CSV export for scan results
• Dark and light mode UI
• Docker deployment with PostgreSQL, auto-HTTPS, and GHCR image releases

Documentation

Tech Stack

Backend: FastAPI, SQLAlchemy, Alembic, Celery, Redis, PostgreSQL Frontend: React 18, Vite, Material-UI, TanStack Query / Table, Recharts Data: yfinance, Finviz, Alpha Vantage, SEC EDGAR, xui-reader (Twitter/X)

Disclaimer

This software is for educational and research purposes only. It is not financial advice. Always do your own research and consult with a licensed financial advisor before making investment decisions.

License

Released under the Apache License 2.0.