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7bcc2cbd8a
Add data vendor configuration examples in README and main.py showing how to configure Alpha Vantage as the primary data provider. Update documentation to reflect the current default behavior of using Alpha Vantage for real-time market data access. 🤖 Generated with [Claude Code](https://claude.ai/code) Co-Authored-By: Claude <noreply@anthropic.com>
29 lines
1.2 KiB
Python
29 lines
1.2 KiB
Python
from tradingagents.graph.trading_graph import TradingAgentsGraph
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from tradingagents.default_config import DEFAULT_CONFIG
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# Create a custom config
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config = DEFAULT_CONFIG.copy()
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config["llm_provider"] = "google" # Use a different model
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config["backend_url"] = "https://generativelanguage.googleapis.com/v1" # Use a different backend
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config["deep_think_llm"] = "gemini-2.0-flash" # Use a different model
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config["quick_think_llm"] = "gemini-2.0-flash" # Use a different model
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config["max_debate_rounds"] = 1 # Increase debate rounds
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# Configure data vendors (default uses Alpha Vantage for real-time data)
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config["data_vendors"] = {
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"core_stock_apis": "alpha_vantage", # Options: alpha_vantage, yahoo_finance, local
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"technical_indicators": "alpha_vantage", # Options: alpha_vantage, yahoo_finance, local
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"fundamental_data": "alpha_vantage", # Options: alpha_vantage, openai, local
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"news_data": "alpha_vantage", # Options: alpha_vantage, openai, google, local
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}
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# Initialize with custom config
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ta = TradingAgentsGraph(debug=True, config=config)
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# forward propagate
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_, decision = ta.propagate("NVDA", "2024-05-10")
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print(decision)
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# Memorize mistakes and reflect
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# ta.reflect_and_remember(1000) # parameter is the position returns
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