Railway

Deploy tick-stock-panel

A-share stock monitoring, backtesting, and AI analysis dashboard.

Deploy tick-stock-panel

Just deployed

Deploy and Host Tick Stock Panel on Railway

Tick Stock Panel is a self-hosted A-share quantitative workspace for stock screening, market monitoring, technical indicators, backtesting, watchlists, and optional AI-assisted analysis. It combines a FastAPI backend with a React dashboard, persists user data locally, and supports configurable data providers including TickFlow for research workflows.

About Hosting Tick Stock Panel on Railway

Railway runs the maintained multi-architecture GHCR container as a single HTTP service. Railway supplies TLS, public networking, deployment automation, secret generation, and restart handling without requiring users to manage servers.

Tech Stack

  • Python 3.11, FastAPI, Uvicorn, Polars, DuckDB, and PyArrow
  • React 18, TypeScript, Vite, TanStack Query, ECharts, and lightweight-charts
  • Docker multi-stage image with bundled frontend assets
  • Optional TickFlow and OpenAI-compatible AI providers

Why Deploy Tick Stock Panel on Railway

Railway provides a fast one-click deployment path, managed HTTPS, straightforward environment variables, and predictable container execution. It is suitable for a private research dashboard that should be reachable from a browser while keeping configuration and optional API credentials in Railway variables.

Common Use Cases

  • Screening A-share equities with built-in or custom strategies
  • Monitoring watchlists, prices, abnormal moves, and notifications
  • Exploring indicators, market regimes, and sector or concept rotation
  • Running constrained strategy and factor backtests
  • Reviewing optional AI-generated stock and market reports

Deployment Notes

The container listens on port 3018 and the template sets PORT=3018 for Railway routing. AUTH_PASSWORD is generated automatically and bootstraps the first access password once. DATA_DIR points to /app/data; this template leaves storage ephemeral, so attach a Railway volume at /app/data if durable user data is required. TickFlow and AI credentials are optional and can be added later.

Dependencies for Tick Stock Panel on Railway

The application is a standalone web service. TickFlow and AI providers are optional external integrations configured through environment variables.

Deployment Dependencies

ServiceImagePortVolume
appghcr.io/shy3130/tick-stock-panel:v0.2.13018-

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