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TradingAgents
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docs: merge factor rules usage example

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69049ed6x 2026-03-08 14:33:52 +08:00
parent 721f2b7cad
commit 48ef90741f
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README.md
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@ -208,17 +208,7 @@ Example rule file format:
} }
``` ```
Example config: Example config and usage:
```python
config = DEFAULT_CONFIG.copy()
config["factor_rules_path"] = "./tradingagents/examples/factor_rules.json"
ta = TradingAgentsGraph(
debug=True,
config=config,
selected_analysts=["market", "social", "news", "fundamentals", "factor_rules"],
)
```
```python ```python
from tradingagents.graph.trading_graph import TradingAgentsGraph from tradingagents.graph.trading_graph import TradingAgentsGraph
@ -229,8 +219,13 @@ config["llm_provider"] = "openai" # openai, google, anthropic, xai, openr
config["deep_think_llm"] = "gpt-5.2" # Model for complex reasoning config["deep_think_llm"] = "gpt-5.2" # Model for complex reasoning
config["quick_think_llm"] = "gpt-5-mini" # Model for quick tasks config["quick_think_llm"] = "gpt-5-mini" # Model for quick tasks
config["max_debate_rounds"] = 2 config["max_debate_rounds"] = 2
config["factor_rules_path"] = "./tradingagents/examples/factor_rules.json"
ta = TradingAgentsGraph(debug=True, config=config) ta = TradingAgentsGraph(
debug=True,
config=config,
selected_analysts=["market", "social", "news", "fundamentals", "factor_rules"],
)
_, decision = ta.propagate("NVDA", "2026-01-15") _, decision = ta.propagate("NVDA", "2026-01-15")
print(decision) print(decision)
``` ```