# QuantDinger
**Repository Path**: wy_love/quant-dinger
## Basic Information
- **Project Name**: QuantDinger
- **Description**: QuantDinger
- **Primary Language**: Unknown
- **License**: Apache-2.0
- **Default Branch**: master
- **Homepage**: None
- **GVP Project**: No
## Statistics
- **Stars**: 0
- **Forks**: 0
- **Created**: 2026-01-19
- **Last Updated**: 2026-01-19
## Categories & Tags
**Categories**: Uncategorized
**Tags**: None
## README
---
## ๐ Introduction
### What is QuantDinger?
QuantDinger is a **local-first, privacy-first quantitative trading infrastructure**. It runs entirely on your machine, giving you full control over your strategies, trading data, and API keys.
### Why Local-First?
Unlike SaaS platforms that lock your data and strategies in the cloud, QuantDinger runs locally. Your strategies, trading logs, API keys, and analysis results stay on your machine. No vendor lock-in, no subscription fees, no data exfiltration.
### Who is this for?
QuantDinger is built for traders, researchers, and engineers who:
- Value data sovereignty and privacy
- Want transparent, auditable trading infrastructure
- Prefer engineering over marketing
- Need a complete workflow: data, analysis, backtesting, and execution
### Core Features
QuantDinger includes a built-in **LLM-based multi-agent research system** that gathers financial intelligence from the web, combines it with local market data, and generates analysis reports. This integrates with strategy development, backtesting, and live trading workflows.
### Core Value
- **๐ Apache 2.0 Open Source**: Fully permissive and commercial-friendly. Unlike viral licenses (GPL/AGPL), you truly own your code and modifications.
- **๐ Python-Native & Visual**: Write indicators in standard Python (easier than PineScript) with AI assistance. Visualize signals directly on chartsโa "Local TradingView" experience.
- **๐ค AI-Loop Optimization**: It doesn't just run strategies; AI analyzes backtest results to suggest parameter tuning (Stop-Loss/TP/MACD settings), forming a closed optimization loop.
- **๐ Universal Market Access**: One unified system for Crypto (Live), US/CN Stocks, Forex, and Futures (Data/Notify).
- **โก Docker & Clean Arch**: 4-line command deployment. Modern Tech Stack (Vue + Python) with a clean, separation-of-concerns architecture.
---
## ๐บ Video Demo
Click the video above to watch the QuantDinger project introduction
---
## ๐ Documentation
- [Python Strategy Development Guide](docs/STRATEGY_DEV_GUIDE.md)
## ๐ธ Visual Tour
๐ Professional Quant Dashboard
Real-time monitoring of market dynamics, assets, and strategy status.
๐ค AI Deep Research
Multi-agent collaboration for market sentiment & technical analysis.
|
๐ฌ Smart Trading Assistant
Natural language interface for instant market insights.
|
๐ Interactive Indicator Analysis
Rich library of technical indicators with drag-and-drop analysis.
|
๐ Python Strategy Gen
Built-in editor with AI-assisted strategy coding.
|
---
## โจ Key Features
### 1. Visual Python Strategy Workbench
*Better than PineScript, Smarter than SaaS.*
- **Python Native**: Write indicators and strategies in Python. Leverage the entire Python ecosystem (Pandas, Numpy, TA-Lib) instead of proprietary languages like PineScript.
- **"Mini-TradingView" Experience**: Run your Python indicators directly on the built-in K-line charts. Visually debug buy/sell signals on historical data.
- **AI-Assisted Coding**: Let the built-in AI write the complex logic for you. From idea to code in seconds.
### 2. Complete Trading Lifecycle
*From Indicator to Execution, Seamlessly.*
1. **Indicator**: Define your market entry/exit signals.
2. **Strategy Config**: Attach risk management rules (Position sizing, Stop-Loss, Take-Profit).
3. **Backtest & AI Optimization**: Run backtests, view rich performance metrics, and **let AI analyze the result to suggest improvements** (e.g., "Adjust MACD threshold to X").
4. **Execution Mode**:
- **Live Trading**: Direct API execution for 10+ Crypto Exchanges (Binance, OKX, etc.).
- **Signal Notification**: For non-executable markets (Stocks/Forex/Futures), send signals via Telegram, Discord, Email, SMS, or Webhook.
### 3. AI Multi-Agent Research
*Your 24/7 AI Investment Committee.*
The system employs a multi-agent team to act as a secondary filter for your strategies:
- **Research Agents**: Scrape web news and macro events (Google/Bing).
- **Analysis Agents**: Analyze technical indicators and capital flows.
- **Strategic Integration**: The AI judgment can serve as a "Market Filter"โonly allowing your strategy to trade when the AI sentiment aligns (e.g., "Don't buy if AI Risk Analyst flags high macro danger").
### 4. Universal Data Engine
QuantDinger provides a unified data interface across multiple markets:
- **Cryptocurrency**: Direct API connections for trading (10+ exchanges) and CCXT integration for market data (100+ sources)
- **Stocks**: Yahoo Finance, Finnhub, Tiingo (US stocks), and AkShare (CN/HK stocks)
- **Futures/Forex**: OANDA and major futures data sources
- **Proxy Support**: Built-in proxy configuration for restricted network environments
### 5. Memory-Augmented Agents (Local RAG + Reflection Loop)
QuantDingerโs agents donโt start from scratch every time. The backend includes a **local memory store** and an optional **reflection/verification loop**:
- **What it is**: RAG-style experience retrieval injected into agent prompts (NOT model fine-tuning).
- **Where it lives**: Local SQLite files under `backend_api_python/data/memory/` (privacy-first).
```mermaid
flowchart TB
%% ===== ๐ Entry Layer =====
subgraph Entry["๐ API Entry"]
A["๐ก POST /api/analysis/multi"]
A2["๐ POST /api/analysis/reflect"]
end
%% ===== โ๏ธ Service Layer =====
subgraph Service["โ๏ธ Service Orchestration"]
B[AnalysisService]
C[AgentCoordinator]
D["๐ Build Context
price ยท kline ยท news ยท indicators"]
end
%% ===== ๐ค Multi-Agent Workflow =====
subgraph Agents["๐ค Multi-Agent Workflow"]
subgraph P1["๐ Phase 1 ยท Analysis (Parallel)"]
E1["๐ MarketAnalyst
Technical"]
E2["๐ FundamentalAnalyst
Fundamentals"]
E3["๐ฐ NewsAnalyst
News & Events"]
E4["๐ญ SentimentAnalyst
Market Mood"]
E5["โ ๏ธ RiskAnalyst
Risk Assessment"]
end
subgraph P2["๐ฏ Phase 2 ยท Debate (Parallel)"]
F1["๐ BullResearcher
Bullish Case"]
F2["๐ป BearResearcher
Bearish Case"]
end
subgraph P3["๐น Phase 3 ยท Decision"]
G["๐ฐ TraderAgent
Final Verdict โ BUY / SELL / HOLD"]
end
end
%% ===== ๐ง Memory Layer =====
subgraph Memory["๐ง Local SQLite Memory (data/memory/)"]
M1[("market_analyst")]
M2[("fundamental")]
M3[("news_analyst")]
M4[("sentiment")]
M5[("risk_analyst")]
M6[("bull_researcher")]
M7[("bear_researcher")]
M8[("trader_agent")]
end
%% ===== ๐ Reflection Loop =====
subgraph Reflect["๐ Reflection Loop (Optional)"]
R[ReflectionService]
RR[("reflection_records.db")]
W["โฐ ReflectionWorker"]
end
%% ===== Main Flow =====
A --> B --> C --> D
D --> P1 --> P2 --> P3
%% ===== Memory Read/Write =====
E1 <-.-> M1
E2 <-.-> M2
E3 <-.-> M3
E4 <-.-> M4
E5 <-.-> M5
F1 <-.-> M6
F2 <-.-> M7
G <-.-> M8
%% ===== Reflection Flow =====
C --> R --> RR
W --> RR
W -.->|"verify + learn"| M8
A2 -.->|"manual review"| M8
```
**Retrieval ranking (simplified)**:
\[
score = w_{sim}\cdot sim + w_{recency}\cdot recency + w_{returns}\cdot returns\_score
\]
Config lives in `.env` (see `backend_api_python/env.example`): `ENABLE_AGENT_MEMORY`, `AGENT_MEMORY_TOP_K`, `AGENT_MEMORY_ENABLE_VECTOR`, `AGENT_MEMORY_HALF_LIFE_DAYS`, and `ENABLE_REFLECTION_WORKER`.
### 6. Strategy Runtime
- **Thread-Based Executor**: Independent thread pool for strategy execution
- **Auto-Restore**: Resumes running strategies after system restarts
- **Order Queue**: Background worker for order execution
### 7. Tech Stack
- **Backend**: Python (Flask) + SQLite + Redis (optional)
- **Frontend**: Vue 2 + Ant Design Vue + KlineCharts/ECharts
- **Deployment**: Docker Compose
---
## ๐ Supported Exchanges
QuantDinger supports direct API connections to major cryptocurrency exchanges for execution, and uses CCXT for broad market data coverage.
### Direct API Support
| Exchange | Markets |
|:--------:|:---------|
| Binance | Spot, Futures, Margin |
| OKX | Spot, Perpetual, Options |
| Bitget | Spot, Futures, Copy Trading |
### Also Supported via CCXT
Bybit, Gate.io, Kraken, KuCoin, HTX, and 100+ other exchanges for market data.
---
### Multi-Language Support
QuantDinger is built for a global audience with comprehensive internationalization:
All UI elements, error messages, and documentation are fully translated. Language is auto-detected based on browser settings or can be manually switched in the app.
---
### Supported Markets
| Market Type | Data Sources | Trading |
|-------------|--------------|---------|
| **Cryptocurrency** | Binance, OKX, Bitget, + 100 exchanges | โ
Full support |
| **US Stocks** | Yahoo Finance, Finnhub, Tiingo | โ
Via broker API |
| **CN/HK Stocks** | AkShare, East Money | โก Data only |
| **Forex** | Finnhub, OANDA | โ
Via broker API |
| **Futures** | Exchange APIs, AkShare | โก Data only |
---
### Architecture (Current Repo)
```text
โโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโ
โ quantdinger_vue โ
โ (Vue 2 + Ant Design Vue) โ
โโโโโโโโโโโโโโโโฌโโโโโโโโโโโโโโโ
โ HTTP (/api/*)
โผ
โโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโ
โ backend_api_python โ
โ (Flask + strategy runtime) โ
โโโโโโโโโโโโโโโโฌโโโโโโโโโโโโโโโ
โ
โโ SQLite (quantdinger.db)
โโ Redis (optional cache)
โโ Data providers / LLMs / Exchanges
```
---
### Repository Layout
```text
.
โโ backend_api_python/ # Flask API + AI + backtest + strategy runtime
โ โโ app/
โ โโ env.example # Copy to .env for local config
โ โโ requirements.txt
โ โโ run.py # Entrypoint
โโ quantdinger_vue/ # Vue 2 UI (dev server proxies /api -> backend)
```
---
## Quick Start
### Option 1: Docker Deployment (Recommended)
The fastest way to get QuantDinger running.
#### 1. Start Services
**Linux / macOS**
```bash
git clone https://github.com/brokermr810/QuantDinger.git && \
cd QuantDinger && \
cp backend_api_python/env.example backend_api_python/.env && \
docker-compose up -d --build
```
**Windows (PowerShell)**
```powershell
git clone https://github.com/brokermr810/QuantDinger.git
cd QuantDinger
Copy-Item backend_api_python\env.example -Destination backend_api_python\.env
docker-compose up -d --build
```
#### 2. Configuration & Access
- **Frontend UI**: http://localhost:8888
- **Default Account**: `quantdinger` / `123456`
> **Note**: For production or AI features, edit `backend_api_python/.env` (add `OPENROUTER_API_KEY`, change passwords) and restart with `docker-compose restart backend`.
#### 3. Access the Application
- **Frontend UI**: http://localhost
- **Backend API**: http://localhost:5000
#### Docker Commands Reference
```bash
# View running status
docker-compose ps
# View logs
docker-compose logs -f
# View backend logs only
docker-compose logs -f backend
# View frontend logs only
docker-compose logs -f frontend
# Stop services
docker-compose down
# Stop and remove volumes (WARNING: deletes database!)
docker-compose down -v
# Restart services
docker-compose restart
# Rebuild and restart
docker-compose up -d --build
# Enter backend container
docker exec -it quantdinger-backend /bin/bash
# Enter frontend container
docker exec -it quantdinger-frontend /bin/sh
```
#### Docker Architecture
```
โโโโโโโโโโโโโโโโโโโ โโโโโโโโโโโโโโโโโโโ
โ Frontend โ โ Backend โ
โ (Nginx) โโโโโโถโ (Python) โ
โ Port: 80 โ โ Port: 5000 โ
โโโโโโโโโโโโโโโโโโโ โโโโโโโโโโโโโโโโโโโ
โ โ
โโโโโโโโโโโโโโโโโโโโโโโโโ
Docker Network
```
- **Frontend**: Vue.js app served by Nginx, proxies API requests to backend
- **Backend**: Python Flask API service
#### Data Persistence
The following data is mounted to the host and persists across container restarts:
```yaml
volumes:
- ./backend_api_python/quantdinger.db:/app/quantdinger.db # Database
- ./backend_api_python/logs:/app/logs # Logs
- ./backend_api_python/data:/app/data # Data directory
- ./backend_api_python/.env:/app/.env # Configuration
```
#### Customization
**Change ports** - Edit `docker-compose.yml`:
```yaml
services:
frontend:
ports:
- "8080:80" # Change to port 8080
backend:
ports:
- "5001:5000" # Change to port 5001
```
**Configure HTTPS** - Use a reverse proxy (like Caddy/Nginx):
```bash
# Using Caddy (automatic HTTPS)
caddy reverse-proxy --from yourdomain.com --to localhost:80
```
#### Production Recommendations
**Security:**
```bash
# Generate strong SECRET_KEY
openssl rand -hex 32
# Set secure admin password
ADMIN_PASSWORD=your-very-secure-password
```
**Resource limits** - Add to `docker-compose.yml`:
```yaml
services:
backend:
deploy:
resources:
limits:
cpus: '2'
memory: 2G
reservations:
cpus: '0.5'
memory: 512M
```
**Log management:**
```yaml
services:
backend:
logging:
driver: "json-file"
options:
max-size: "100m"
max-file: "3"
```
#### Docker Troubleshooting
**Frontend can't connect to backend:**
```bash
docker-compose logs backend
curl http://localhost:5000/api/health
```
**Database permission issues:**
```bash
chmod 666 backend_api_python/quantdinger.db
```
**Build failures:**
```bash
# Clear Docker cache and rebuild
docker-compose build --no-cache
```
**Out of memory:**
```bash
# Check memory usage
docker stats
# Add swap space (Linux)
sudo fallocate -l 2G /swapfile
sudo chmod 600 /swapfile
sudo mkswap /swapfile
sudo swapon /swapfile
```
#### Updating
```bash
# Pull latest code
git pull
# Rebuild and restart
docker-compose up -d --build
```
#### Backup
```bash
# Backup database
cp backend_api_python/quantdinger.db backup/quantdinger_$(date +%Y%m%d).db
# Backup configuration
cp backend_api_python/.env backup/.env_$(date +%Y%m%d)
```
---
### Option 2: Local Development
**Prerequisites**
- Python 3.10+ recommended
- Node.js 16+ recommended
#### 1. Start the backend (Flask API)
```bash
cd backend_api_python
pip install -r requirements.txt
cp env.example .env # Windows: copy env.example .env
python run.py
```
Backend will be available at `http://localhost:5000`.
#### 2. Start the frontend (Vue UI)
```bash
cd quantdinger_vue
npm install
npm run serve
```
Frontend dev server runs at `http://localhost:8000` and proxies `/api/*` to `http://localhost:5000` (see `quantdinger_vue/vue.config.js`).
---
### Configuration (.env)
Use `backend_api_python/env.example` as a template. Common settings include:
- **Auth**: `SECRET_KEY`, `ADMIN_USER`, `ADMIN_PASSWORD`
- **Server**: `PYTHON_API_HOST`, `PYTHON_API_PORT`, `PYTHON_API_DEBUG`
- **Database**: `SQLITE_DATABASE_FILE` (optional; default is `backend_api_python/data/quantdinger.db`)
- **AI / LLM**: `OPENROUTER_API_KEY`, `OPENROUTER_MODEL`, timeouts
- **Web search**: `SEARCH_PROVIDER`, `SEARCH_GOOGLE_*`, `SEARCH_BING_API_KEY`
- **Proxy (optional)**: `PROXY_PORT` or `PROXY_URL`
- **Workers**: `ENABLE_PENDING_ORDER_WORKER`, `DISABLE_RESTORE_RUNNING_STRATEGIES`
---
### API
The backend provides REST endpoints for login, market data, indicators, backtesting, strategies, and AI analysis.
- Health: `GET /health` (also supports `GET /api/health` for deployment probes)
- Auth (frontend-compatible): `POST /api/user/login`, `POST /api/user/logout`, `GET /api/user/info`
For the full route list, see `backend_api_python/app/routes/`.
---
### License
Licensed under the **Apache License 2.0**. See `LICENSE`.
---
## ๐ค Community & Support
- **Contributing**: [Contributing Guide](CONTRIBUTING.md) ยท [Contributors](CONTRIBUTORS.md)
- **Telegram**: [QuantDinger Group](https://t.me/quantdinger)
- **Discord**: [Join Server](https://discord.gg/vwJ8zxFh9Q)
- **๐บ Video Demo**: [Project Introduction](https://youtu.be/HPTVpqL7knM)
- **YouTube**: [@quantdinger](https://youtube.com/@quantdinger)
- **Email**: [brokermr810@gmail.com](mailto:brokermr810@gmail.com)
- **GitHub Issues**: [Report bugs / Request features](https://github.com/brokermr810/QuantDinger/issues)
---
## ๐ฐ Project Sustainability
QuantDinger is open-source and free to use. If you find it useful, here are ways to support ongoing development:
### Direct Donations
**ERC-20 / BEP-20 / Polygon / Arbitrum**
```
0x96fa4962181bea077f8c7240efe46afbe73641a7
```
### Exchange Referral Links
If you're signing up for supported exchanges, using the links below provides referral benefits that help support the project. These are optional and do not affect your trading fees or account functionality.
| Exchange | Referral Link |
|:--------:|:-------------|
| Binance | [Sign up with referral](https://www.bmwweb.ac/referral/earn-together/refer2earn-usdc/claim?hl=zh-CN&ref=GRO_28502_9OSOJ) |
| OKX | [Sign up with referral](https://www.bjwebptyiou.com/join/14449926) |
| Bitget | [Sign up with referral](https://share.glassgs.com/u/H8XZGS71) |
---
### Professional Services
Professional services are available:
| Service | Description |
|---------|-------------|
| **Deployment & Setup** | One-on-one assistance with server deployment, configuration, and optimization |
| **Custom Strategy Development** | Tailored trading strategies designed for your specific needs and markets |
| **Enterprise Upgrade** | Commercial license, priority support, and advanced features for businesses |
| **Training & Consulting** | Hands-on training sessions and strategic consulting for your trading team |
**Interested?** Contact us via:
- ๐ง Email: [brokermr810@gmail.com](mailto:brokermr810@gmail.com)
- ๐ฌ Telegram: [QuantDinger Group](https://t.me/quantdinger)
---
### Acknowledgements
QuantDinger stands on the shoulders of great open-source projects:
| Project | Description | Link |
|---------|-------------|------|
| **Flask** | Lightweight WSGI web framework | [flask.palletsprojects.com](https://flask.palletsprojects.com/) |
| **flask-cors** | Cross-Origin Resource Sharing extension | [GitHub](https://github.com/corydolphin/flask-cors) |
| **Pandas** | Data analysis and manipulation library | [pandas.pydata.org](https://pandas.pydata.org/) |
| **CCXT** | Cryptocurrency exchange trading library | [github.com/ccxt/ccxt](https://github.com/ccxt/ccxt) |
| **yfinance** | Yahoo Finance market data downloader | [github.com/ranaroussi/yfinance](https://github.com/ranaroussi/yfinance) |
| **akshare** | China financial data interface | [github.com/akfamily/akshare](https://github.com/akfamily/akshare) |
| **requests** | HTTP library for Python | [requests.readthedocs.io](https://requests.readthedocs.io/) |
| **Vue.js** | Progressive JavaScript framework | [vuejs.org](https://vuejs.org/) |
| **Ant Design Vue** | Enterprise-class UI components | [antdv.com](https://antdv.com/) |
| **KlineCharts** | Lightweight financial charting library | [github.com/klinecharts/KLineChart](https://github.com/klinecharts/KLineChart) |
| **Lightweight Charts** | TradingView charting library | [github.com/nicepkg/lightweight-charts](https://github.com/nicepkg/lightweight-charts) |
| **ECharts** | Apache data visualization library | [echarts.apache.org](https://echarts.apache.org/) |
Thanks to all maintainers and contributors across these ecosystems! โค๏ธ 
