28 lines
982 B
Python
28 lines
982 B
Python
from tradingagents.graph.trading_graph import TradingAgentsGraph
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from tradingagents.default_config import get_default_config, load_project_env
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load_project_env(__file__)
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# Create a custom config
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config = get_default_config()
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config["max_debate_rounds"] = 1 # Increase debate rounds
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# Configure data vendors (default uses yfinance, no extra API keys needed)
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config["data_vendors"] = {
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"core_stock_apis": "yfinance", # Options: alpha_vantage, yfinance
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"technical_indicators": "yfinance", # Options: alpha_vantage, yfinance
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"fundamental_data": "yfinance", # Options: alpha_vantage, yfinance
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"news_data": "yfinance", # Options: alpha_vantage, yfinance
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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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