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Feat/adapt core tradingagents (#14)
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‎python/configs/agent_cards/trading_agents.json‎

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{
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"name": "TradingAgentsAdapter",
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"url": "http://localhost:10002",
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"description": "TradingAgents - Multi-agent trading analysis system with market, sentiment, news and fundamentals analysis",
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"capabilities": {
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"streaming": true,
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"push_notifications": false
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},
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"metadata": {
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"version": "1.0.0",
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"author": "ValueCell Team",
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"tags": ["trading", "analysis", "multi-agent", "stocks", "finance"],
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"supported_tickers": ["AAPL", "GOOGL", "MSFT", "NVDA", "TSLA", "AMZN", "META", "NFLX", "SPY"],
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"supported_analysts": ["market", "social", "news", "fundamentals"],
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"supported_llm_providers": ["openai", "anthropic", "google", "ollama", "openrouter"]
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}
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}

‎python/third_party/TradingAgents/.env.example‎

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# TradingAgents Environment Configuration
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# Copy this file to .env and fill in your actual values
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# =============================================================================
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# API KEYS (Required)
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# =============================================================================
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# OpenAI API Key - Required for LLM models and online data search
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# Get your key from: https://platform.openai.com/api-keys
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OPENAI_API_KEY=your_openai_api_key_here
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# OpenAI Embeddings API Key - IMPORTANT for Memory Functionality
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# This is needed when using non-OpenAI providers (OpenRouter, Anthropic, Google)
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# because they don't support OpenAI's embeddings API
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# If not set, the system will try to use OPENAI_API_KEY for embeddings
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# Get your key from: https://platform.openai.com/api-keys
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OPENAI_EMBEDDINGS_API_KEY=your_openai_embeddings_key_here
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# Finnhub API Key - Required for financial news and insider trading data
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# Get your free key from: https://finnhub.io/register
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FINNHUB_API_KEY=your_finnhub_api_key_here
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# =============================================================================
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# OPTIONAL API KEYS (Only needed if using specific providers)
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# ==============================================================================
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# Anthropic API Key - Only needed if using Anthropic models
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# Get your key from: https://console.anthropic.com/
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ANTHROPIC_API_KEY=your_anthropic_api_key_here
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# Google API Key - Only needed if using Google/Gemini models
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# Get your key from: https://aistudio.google.com/app/apikey
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GOOGLE_API_KEY=your_google_api_key_here
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# =============================================================================
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# DIRECTORY CONFIGURATION
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# =============================================================================
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# Results output directory
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TRADINGAGENTS_RESULTS_DIR=./results
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# Data directory - where your financial data files are stored
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# This should point to your local data directory containing:
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# - market_data/price_data/
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# - fundamental_data/simfin_data_all/
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# - reddit_data/
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# - finnhub_data/
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TRADINGAGENTS_DATA_DIR=./data
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# =============================================================================
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# LLM PROVIDER CONFIGURATION
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# =============================================================================
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# LLM Provider: openai, anthropic, google, ollama, openrouter
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TRADINGAGENTS_LLM_PROVIDER=openai
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# Backend URL for LLM API
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TRADINGAGENTS_BACKEND_URL=https://api.openai.com/v1
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# Deep thinking model (for complex reasoning tasks)
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TRADINGAGENTS_DEEP_THINK_LLM=o4-mini
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# Quick thinking model (for fast analysis tasks)
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TRADINGAGENTS_QUICK_THINK_LLM=gpt-4o-mini
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# =============================================================================
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# ANALYSIS CONFIGURATION
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# =============================================================================
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# Maximum debate rounds between bull and bear researchers (1-5)
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TRADINGAGENTS_MAX_DEBATE_ROUNDS=1
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# Maximum risk discussion rounds between risk analysts (1-5)
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TRADINGAGENTS_MAX_RISK_DISCUSS_ROUNDS=1
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# Maximum recursion limit for agent interactions
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TRADINGAGENTS_MAX_RECUR_LIMIT=100
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# Use online tools for real-time data (true/false)
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TRADINGAGENTS_ONLINE_TOOLS=true
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# =============================================================================
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# ALTERNATIVE LLM PROVIDER CONFIGURATIONS
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# =============================================================================
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# For Anthropic
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# TRADINGAGENTS_LLM_PROVIDER=anthropic
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# TRADINGAGENTS_BACKEND_URL=https://api.anthropic.com/
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# TRADINGAGENTS_DEEP_THINK_LLM=claude-sonnet-4-0
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# TRADINGAGENTS_QUICK_THINK_LLM=claude-3-5-haiku-latest
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# For Google/Gemini
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# TRADINGAGENTS_LLM_PROVIDER=google
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# TRADINGAGENTS_BACKEND_URL=https://generativelanguage.googleapis.com/v1
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# TRADINGAGENTS_DEEP_THINK_LLM=gemini-2.0-flash
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# TRADINGAGENTS_QUICK_THINK_LLM=gemini-2.0-flash-lite
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# For Ollama (local) - Supports both chat and embeddings locally
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# TRADINGAGENTS_LLM_PROVIDER=ollama
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# TRADINGAGENTS_BACKEND_URL=http://localhost:11434/v1
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# TRADINGAGENTS_DEEP_THINK_LLM=llama3.1
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# TRADINGAGENTS_QUICK_THINK_LLM=llama3.2
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# Note: Make sure to pull the embedding model: ollama pull nomic-embed-text
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# For OpenRouter - IMPORTANT: Requires separate embeddings API key
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# TRADINGAGENTS_LLM_PROVIDER=openrouter
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# TRADINGAGENTS_BACKEND_URL=https://openrouter.ai/api/v1
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# TRADINGAGENTS_DEEP_THINK_LLM=deepseek/deepseek-chat-v3-0324:free
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# TRADINGAGENTS_QUICK_THINK_LLM=meta-llama/llama-3.3-8b-instruct:free
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#
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# IMPORTANT NOTE FOR OPENROUTER USERS:
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# OpenRouter does not support OpenAI's embeddings API, which is required for
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# the memory functionality in TradingAgents. You MUST set both:
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# OPENAI_API_KEY=sk-or-v1-your-openrouter-key-here (for chat models)
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# OPENAI_EMBEDDINGS_API_KEY=sk-your-real-openai-key-here (for embeddings)
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# For Azure OpenAI
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# TRADINGAGENTS_LLM_PROVIDER=azure
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# TRADINGAGENTS_BACKEND_URL=https://your-endpoint.openai.azure.com/
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# TRADINGAGENTS_DEEP_THINK_LLM=gpt-4o-mini
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# TRADINGAGENTS_QUICK_THINK_LLM=gpt-4o-mini
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# AZURE_OPENAI_API_VERSION=2025-04-01-preview
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# =============================================================================
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# EMBEDDINGS API TROUBLESHOOTING
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# =============================================================================
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# Problem: Getting "AttributeError: 'str' object has no attribute 'data'" error?
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# This happens when using providers that don't support embeddings API.
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# Solution 1 - Use dedicated OpenAI key for embeddings (RECOMMENDED):
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# OPENAI_API_KEY=sk-or-v1-your-openrouter-key-here
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# OPENAI_EMBEDDINGS_API_KEY=sk-your-real-openai-key-here
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# Solution 2 - Switch to Ollama for fully local processing:
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# TRADINGAGENTS_LLM_PROVIDER=ollama
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# TRADINGAGENTS_BACKEND_URL=http://localhost:11434/v1
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# Then run: ollama pull llama3.1 && ollama pull nomic-embed-text
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# Solution 3 - Accept limited memory functionality:
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# If you don't set OPENAI_EMBEDDINGS_API_KEY, the system will use dummy
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# embeddings and continue running, but memory features will be limited.
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# Affected providers that need separate embeddings key:
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# - OpenRouter (openrouter.ai)
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# - Anthropic (api.anthropic.com)
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# - Google/Gemini (generativelanguage.googleapis.com)
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# Providers with built-in embeddings support:
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# - OpenAI (api.openai.com) - uses same key for chat and embeddings
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# - Ollama (localhost:11434) - local embeddings with nomic-embed-text
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# =============================================================================
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# USAGE INSTRUCTIONS
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# =============================================================================
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# 1. Copy this file to .env: cp .env.example .env
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# 2. Fill in your actual API keys and configuration values
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# 3. Make sure .env is in your .gitignore to keep your keys private
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# 4. For OpenRouter users: Set both OPENAI_API_KEY and OPENAI_EMBEDDINGS_API_KEY
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# 5. For Ollama users: Run 'ollama pull nomic-embed-text' for embeddings support
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# 6. Run the application: python main.py or python -m cli.main

‎python/third_party/TradingAgents/.gitignore‎

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env/
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# Environment variables
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.env
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.env.local
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.env.*.local
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# Python
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__pycache__/
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*.py[cod]
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*.class
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*.so
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.Python
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build/
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develop-eggs/
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dist/
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downloads/
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eggs/
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.eggs/
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lib/
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lib64/
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parts/
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sdist/
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var/
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wheels/
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*.egg-info/
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.installed.cfg
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*.egg
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MANIFEST
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# PyInstaller
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*.manifest
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*.spec
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# Unit test / coverage reports
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htmlcov/
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.tox/
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.coverage
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.coverage.*
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.cache
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nosetests.xml
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coverage.xml
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*.cover
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.hypothesis/
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.pytest_cache/
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# Jupyter Notebook
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.ipynb_checkpoints
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# IPython
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profile_default/
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ipython_config.py
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# pyenv
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.python-version
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# Environments
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.venv
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env/
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venv/
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ENV/
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env.bak/
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venv.bak/
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# IDE
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.vscode/
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.idea/
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*.swp
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*.swo
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*~
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# OS
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.DS_Store
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*.csv
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src/
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.DS_Store?
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._*
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.Spotlight-V100
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.Trashes
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ehthumbs.db
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Thumbs.db
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# Results and logs
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results/
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logs/
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*.log
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# Data directories
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data/
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dataflows/data_cache/
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eval_results/
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eval_data/
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*.egg-info/
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.env

‎python/third_party/TradingAgents/.python-version‎

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3.10
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3.12

‎python/third_party/TradingAgents/adapter/__init__.py‎

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# TradingAgents Adapter Package

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