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20 lines
698 B
Python
20 lines
698 B
Python
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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["deep_think_llm"] = "gpt-4.1-nano" # Use a different model
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config["quick_think_llm"] = "gpt-4.1-nano" # Use a different model
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config["max_debate_rounds"] = 1 # Increase debate rounds
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config["online_tools"] = True # Increase debate rounds
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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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