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mcp-server

QuantDinger: AI‑Powered Trading Engine for Crypto, Stocks & Forex

Launch data‑driven strategies with QuantDinger’s backtesting, live‑trade execution and multi‑agent research—all in Python. Ideal for fintech founders seeking scalable, AI‑enhanced trading solutions. 13k+ GitHub stars.

From the repo · “Open-source AI Trading OS and commercial-ready multi-tenant SaaS platform — research markets, build Python strategies, backtest, paper/live trade, and monitor crypto, stocks, and forex, with built-in user management, billing, payments, and settlement to launch and operate your own trading service.”

12,997 stars+208★ this week2,646 forksPythonGuide quality 9/10 · reviewed Oct 20Updated 10/19/2026100% free · open source
What it does

QuantDinger is an AI quantitative trading platform that allows you to backtest, live trade, and research trading strategies for crypto, stocks, and forex using multi-agent systems and machine learning.

When to use it
  • •You want to automate your trading strategy across multiple asset classes
  • •You need to backtest and validate your trading ideas before deploying them live
  • •You're looking for a platform to research and develop new trading agents and AI-powered trading strategies
Ready-to-paste prompt
python backtest.py -c config.json -s my_strategy -e binance -p BTCUSDT --start-date 2022-01-01 --end-date 2022-12-31
Heads up: Make sure you have a valid API key for your chosen exchange (e.g. Binance) and that it is properly configured in the `config.json` file before running live trades
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/openbyteinc-quantdinger && curl -fsSL https://workflowstacks.com/api/skills/openbyteinc-quantdinger/claude-skill -o ~/.claude/skills/openbyteinc-quantdinger/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 QuantDinger: AI‑Powered Trading Engine for Crypto, Stocks & Forex works
Codeflow
Free to inspect

QuantDinger: AI‑Powered Trading Engine for Crypto, Stocks & Forex is a very large Python project (~160k lines across 452 code files, plus 224 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, Apache-2.0 license, has a test suite.

Size
Very large codebase
~160k lines · 452 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 98%PLpgSQL 2%
Where to start reading
  1. 1
    README.md
    Start here — what it does and how to install it
  2. 2
    backend_api_python/run.py
    Where the program starts running
  3. 3
    .env.example
    The API keys and settings you must provide
  4. 4
    backend_api_python/app/__init__.py
    Inside backend_api_python/app/ — the main logic begins here
What's in each folder
backend_api_python/app/Core code — the actual logic392 files
docs/Documentation66 files
backend_api_python/scripts/Helper scripts29 files
backend_api_python/migrations/Folder17 files
mcp_server/Folder12 files
scripts/Helper scripts7 files
ops/Deployment / infrastructure6 files
backend_api_python/reports/Folder3 files
READMEHas testsDocumentedCI checksDocker readyApache-2.0 licenseUpdated this month
Quick Actions
Details
Creator
OpenByteInc
Language
Python
Category
mcp-server
Published
12/28/2025

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Featured on WorkflowStacks
[![Featured on WorkflowStacks](https://workflowstacks.com/api/badge/openbyteinc-quantdinger.svg)](https://workflowstacks.com/skills/openbyteinc-quantdinger?utm_source=github&utm_medium=badge)
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