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https://github.com/Xe138/AI-Trader.git
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8 Commits
v0.2.0-alp
...
v0.2.0-alp
| Author | SHA1 | Date | |
|---|---|---|---|
| 12ecb1e6b6 | |||
| 203b60b252 | |||
| d70362b9d4 | |||
| 5ec7977b47 | |||
| 8142f38ab9 | |||
| 595a659fe7 | |||
| a4bc4fd0de | |||
| 4666e09385 |
@@ -5,12 +5,13 @@
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# Docker Compose automatically reads .env from project root
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# AI Model API Configuration
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OPENAI_API_BASE=https://your-openai-proxy.com/v1
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OPENAI_API_KEY=your_openai_key_here
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# OPENAI_API_BASE: Leave empty to use default OpenAI endpoint, or set to custom proxy URL
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OPENAI_API_BASE=
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OPENAI_API_KEY=your_openai_key_here # https://platform.openai.com/api-keys
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# Data Source Configuration
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ALPHAADVANTAGE_API_KEY=your_alphavantage_key_here
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JINA_API_KEY=your_jina_key_here
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ALPHAADVANTAGE_API_KEY=your_alphavantage_key_here # https://www.alphavantage.co/support/#api-key
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JINA_API_KEY=your_jina_key_here # https://jina.ai/
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# System Configuration (Docker default paths)
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RUNTIME_ENV_PATH=/app/data/runtime_env.json
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12
README.md
12
README.md
@@ -218,7 +218,7 @@ AI-Trader Bench/
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```bash
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# 1. Clone project
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git clone https://github.com/HKUDS/AI-Trader.git
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git clone https://github.com/Xe138/AI-Trader.git
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cd AI-Trader
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# 2. Install dependencies
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@@ -331,7 +331,7 @@ The easiest way to run AI-Trader is with Docker Compose:
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```bash
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# 1. Clone and setup
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git clone https://github.com/HKUDS/AI-Trader.git
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git clone https://github.com/Xe138/AI-Trader.git
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cd AI-Trader
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# 2. Configure environment
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@@ -590,8 +590,8 @@ We welcome contributions of all kinds! Especially AI trading strategies and agen
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## 📞 Support & Community
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- **💬 Discussions**: [GitHub Discussions](https://github.com/HKUDS/AI-Trader/discussions)
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- **🐛 Issues**: [GitHub Issues](https://github.com/HKUDS/AI-Trader/issues)
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- **💬 Discussions**: [GitHub Discussions](https://github.com/Xe138/AI-Trader/discussions)
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- **🐛 Issues**: [GitHub Issues](https://github.com/Xe138/AI-Trader/issues)
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## 📄 License
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@@ -615,8 +615,8 @@ The materials provided by the AI-Trader project are for research purposes only a
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**🌟 If this project helps you, please give us a Star!**
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[](https://github.com/HKUDS/AI-Trader)
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[](https://github.com/HKUDS/AI-Trader)
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[](https://github.com/Xe138/AI-Trader)
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[](https://github.com/Xe138/AI-Trader)
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**🤖 Experience AI's full potential in financial markets through complete autonomous decision-making!**
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**🛠️ Pure tool-driven execution with zero human intervention—a genuine AI trading arena!** 🚀
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@@ -27,32 +27,33 @@ class MCPServiceManager:
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'price': int(os.getenv('GETPRICE_HTTP_PORT', '8003'))
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}
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# Service configurations
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# Service configurations (paths relative to /app)
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self.agent_tools_dir = Path(__file__).parent.resolve()
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self.service_configs = {
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'math': {
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'script': 'tool_math.py',
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'script': self.agent_tools_dir / 'tool_math.py',
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'name': 'Math',
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'port': self.ports['math']
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},
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'search': {
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'script': 'tool_jina_search.py',
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'script': self.agent_tools_dir / 'tool_jina_search.py',
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'name': 'Search',
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'port': self.ports['search']
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},
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'trade': {
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'script': 'tool_trade.py',
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'script': self.agent_tools_dir / 'tool_trade.py',
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'name': 'TradeTools',
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'port': self.ports['trade']
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},
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'price': {
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'script': 'tool_get_price_local.py',
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'script': self.agent_tools_dir / 'tool_get_price_local.py',
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'name': 'LocalPrices',
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'port': self.ports['price']
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}
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}
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# Create logs directory
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self.log_dir = Path('../logs')
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self.log_dir = Path('logs')
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self.log_dir.mkdir(exist_ok=True)
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# Set signal handlers
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@@ -70,20 +71,20 @@ class MCPServiceManager:
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script_path = config['script']
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service_name = config['name']
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port = config['port']
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if not Path(script_path).exists():
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if not script_path.exists():
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print(f"❌ Script file not found: {script_path}")
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return False
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try:
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# Start service process
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log_file = self.log_dir / f"{service_id}.log"
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with open(log_file, 'w') as f:
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process = subprocess.Popen(
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[sys.executable, script_path],
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[sys.executable, str(script_path)],
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stdout=f,
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stderr=subprocess.STDOUT,
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cwd=os.getcwd()
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cwd=Path.cwd() # Use current working directory (/app)
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)
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self.services[service_id] = {
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@@ -26,10 +26,10 @@ def get_daily_price(SYMBOL: str):
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url = f'https://www.alphavantage.co/query?function={FUNCTION}&symbol={SYMBOL}&outputsize={OUTPUTSIZE}&apikey={APIKEY}'
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r = requests.get(url)
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data = r.json()
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print(data)
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if data.get('Note') is not None or data.get('Information') is not None:
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print(f"Error")
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print(f"⚠️ {SYMBOL}: API rate limit or error - {data.get('Note') or data.get('Information')}")
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return
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print(f"✓ Fetched {SYMBOL}")
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with open(f'./daily_prices_{SYMBOL}.json', 'w', encoding='utf-8') as f:
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json.dump(data, f, ensure_ascii=False, indent=4)
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if SYMBOL == "QQQ":
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@@ -34,4 +34,4 @@ services:
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- "${TRADE_HTTP_PORT:-8002}:8002"
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- "${GETPRICE_HTTP_PORT:-8003}:8003"
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- "${WEB_HTTP_PORT:-8888}:8888"
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restart: unless-stopped
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restart: on-failure:3 # Restart max 3 times on failure, prevents endless loops
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@@ -3,6 +3,40 @@ set -e # Exit on any error
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echo "🚀 Starting AI-Trader..."
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# Validate required environment variables
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echo "🔍 Validating environment variables..."
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MISSING_VARS=()
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if [ -z "$OPENAI_API_KEY" ]; then
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MISSING_VARS+=("OPENAI_API_KEY")
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fi
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if [ -z "$ALPHAADVANTAGE_API_KEY" ]; then
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MISSING_VARS+=("ALPHAADVANTAGE_API_KEY")
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fi
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if [ -z "$JINA_API_KEY" ]; then
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MISSING_VARS+=("JINA_API_KEY")
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fi
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if [ ${#MISSING_VARS[@]} -gt 0 ]; then
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echo ""
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echo "❌ ERROR: Missing required environment variables:"
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for var in "${MISSING_VARS[@]}"; do
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echo " - $var"
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done
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echo ""
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echo "Please set these variables in your .env file:"
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echo " 1. Copy .env.example to .env"
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echo " 2. Edit .env and add your API keys"
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echo " 3. Restart the container"
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echo ""
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echo "See docs/DOCKER.md for more information."
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exit 1
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fi
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echo "✅ Environment variables validated"
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# Step 1: Data preparation
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echo "📊 Fetching and merging price data..."
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# Run scripts from /app/scripts but output to /app/data
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@@ -13,10 +47,9 @@ cd /app
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# Step 2: Start MCP services in background
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echo "🔧 Starting MCP services..."
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cd /app/agent_tools
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python start_mcp_services.py &
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MCP_PID=$!
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cd /app
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python agent_tools/start_mcp_services.py &
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MCP_PID=$!
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# Step 3: Wait for services to initialize
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echo "⏳ Waiting for MCP services to start..."
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