How to use Tick Stock Panel: what you can do with it

3 use cases

• Self-host an A-share quant workbench in one container

  Pull the published image and run strategies, scans and dashboards locally with your data on your disk.

  • REPO shy3130/tick-stock-panel
  • Money
  • Beginner
  View prompt

  Deploy shy3130/tick-stock-panel locally with the published Docker image from its README quick start, keep data in a mounted folder, and tell me which pages load and which data source mode it is in.

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• Backtest A-share strategies with T+1, fees and slippage

  Run factor, strategy and minute level backtests that follow A-share T+1 rules and real costs.

  • REPO shy3130/tick-stock-panel
  • Money
  • Intermediate
  View prompt

  In shy3130/tick-stock-panel, create a strategy for <rule> on A-shares, backtest it over <period> with T+1, fees and slippage, and report return, drawdown and the factors that explain it.

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• Connect an AI client to your quant workbench over MCP

  Expose the workbench's data and tools to an AI client through its MCP server and scoped API tokens.

  • REPO shy3130/tick-stock-panel
  • Money
  • Advanced
  View prompt

  Connect shy3130/tick-stock-panel's mcp-server to <MCP client> with a read only token, list the available tools, and answer <data question>. Show me which tools were called.

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Quick start with Tick Stock Panel

1. Check you have what it needs: Docker (one container, no external database); Optional: a TickFlow API key or another plugged in data source; Optional: an OpenAI compatible LLM endpoint for strategy generation and the chat assistant.
2. Open shy3130/tick-stock-panel on GitHub and read the README and license.
3. Install Docker
4. Run the one-line docker run command from the README quick start, which pulls the ghcr.io/shy3130/tick-stock-panel image and mounts a local data folder
5. Open the workbench on localhost at the port given in the quick start
6. Copy .env.example to .env if you need a data source key or LLM settings

These steps come from our top use case, Self-host an A-share quant workbench in one container, which also has a copy-paste agent prompt.

Using the Deduped MCP, get the setup steps for shy3130/tick-stock-panel

claude mcp add --transport http deduped https://dedupedai.com/mcp

Tick Stock Panel alternatives · Best AI repos for Money

About this repo

• Who it is forDevelopers researching China A-share strategies who want a local, scriptable workbench their own tools and AI clients can call.
• Why it is hot6.3k stars, talked about in 2 AI sources we track
• LanguagePython
• Sourcegithub.com/shy3130/tick-stock-panel · Back to Hot repos

Requirements

• Docker (one container, no external database)
• Optional: a TickFlow API key or another plugged in data source
• Optional: an OpenAI compatible LLM endpoint for strategy generation and the chat assistant

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