devtools

Tickflow-stock-panel: Quant Trading

Get a self-hosted quant trading platform with Tickflow-stock-panel, ideal for startup founders in finance and trading.
2,603 stars620 forksTypeScriptGuide quality 8/10Updated 8/2/2026100% free · open source
What it does

Tickflow-stock-panel provides a self-hosted quant trading platform for startup founders in finance and trading, allowing for stock selection, monitoring, backtesting, and strategy customization with LLM capabilities.

When to use it
  • When you need to build a customized quant trading platform with self-hosted and zero-maintenance features
  • When you want to leverage LLM capabilities for strategy customization, individual stock analysis, and backtesting
  • When you require a platform that can freely integrate with third-party personalized extension data
Ready-to-paste prompt
Use the `npm run start` command to start the Tickflow-stock-panel application and access the web-based interface for building and managing your quant trading strategies
Heads up: Make sure you have the necessary dependencies installed, including Node.js and TypeScript, and that you have a valid TickFlow data source configured in the `tickflow.config.js` file
Saves to your device
Use with Claude
New

Skip the builder — one click puts this in Claude, Cursor, Antigravity and more.

🛠️ Technical setup

Expect 20–40 minutes in a terminal — or let your AI agent drive it.

Try it instantly — no install
Claude Code
mkdir -p ~/.claude/skills/tickflow-stock-panel && curl -fsSL https://workflowstacks.com/api/skills/tickflow-stock-panel/claude-skill -o ~/.claude/skills/tickflow-stock-panel/SKILL.md
Open in another AI app

Opens the app with this repo with the prompt ready to go — no copy-paste needed.

Connect the whole catalog (MCP)
claude mcp add --transport http workflowstacks https://workflowstacks.com/api/mcp

Adds a WorkflowStacks connector to Claude Code: search and load any skill here by chatting.

How Tickflow-stock-panel: Quant Trading works
Codeflow
Free to inspect

Tickflow-stock-panel: Quant Trading is a very large Python project (~165k lines across 420 code files, plus 188 test files). It is a full software project: use it through its install path rather than reading it end to end. Last commit this month, MIT license, has a test suite.

Size
Very large codebase
~165k lines · 420 code files · days to read — use, don't read
Setup
Developer setup
A real software project. Use it via its install path; don't expect to read it all.
Runs on
Docker
Needs API keys (.env)
Python 60%TypeScript 40%
Where to start reading
  1. 1
    README.md
    Start here — what it does and how to install it
  2. 2
    AGENTS.md
    The instructions the AI actually follows
  3. 3
    .env.example
    The API keys and settings you must provide
What's in each folder
backend/Backend / API405 files
frontend/Frontend / UI218 files
docs/Documentation18 files
gui-test-screenshots/Folder24 files
screenshots/Folder19 files
packaging/Folder8 files
scripts/Helper scripts1 files
.github/CI / automation (GitHub Actions)2 files
READMEHas testsDocumentedCI checksDocker readyMIT licenseUpdated this month
Quick Actions
Details
Creator
shy3130
Language
TypeScript
Category
devtools
Published
6/18/2026

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