Implemented the `xau_macro_analyst` agent, defining its prompts and integrating tools from the FRED API dataflow.
Implemented the `xau_positioning_analyst` agent, defining its prompts and integrating tools from `cot_data.py` and `etf_flows.py`.
Exposed the new XAU data layer functions as agent tools by importing them in `tradingagents/agents/utils/agent_utils.py`.
Created and verified `tradingagents/xau_config.py` to manage system settings and `tradingagents/graph/xau_graph.py` to define the specialized LangGraph workflow for the XAU agents.
Created and verified `xau_main.py` to serve as the main entry point for initializing and running the `XAUTradingGraph`.
- Added placeholders for Binance, Coinbase, Kraken, Glassnode, and Messari API keys in .env.example.
- Updated requirements.txt to include ccxt, glassnode, and python-dotenv libraries.
- Enhanced agent_utils.py and interface.py to incorporate crypto-specific tools and vendor modules for improved functionality.
- Replace FinnHub with Alpha Vantage API in README documentation
- Implement comprehensive Alpha Vantage modules:
- Stock data (daily OHLCV with date filtering)
- Technical indicators (SMA, EMA, MACD, RSI, Bollinger Bands, ATR)
- Fundamental data (overview, balance sheet, cashflow, income statement)
- News and sentiment data with insider transactions
- Update news analyst tools to use ticker-based news search
- Integrate Alpha Vantage vendor methods into interface routing
- Maintain backward compatibility with existing vendor system
🤖 Generated with [Claude Code](https://claude.ai/code)
Co-Authored-By: Claude <noreply@anthropic.com>
- Added support for running CLI and Ollama server via Docker
- Introduced tests for local embeddings model and standalone Docker setup
- Enabled conditional Ollama server launch via LLM_PROVIDER
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