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35 lines
1.0 KiB
35 lines
1.0 KiB
from swarms import Agent
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from swarms.prompts.finance_agent_sys_prompt import (
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FINANCIAL_AGENT_SYS_PROMPT,
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)
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from swarms.structs.multi_agent_exec import (
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run_agents_concurrently_uvloop,
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)
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# Initialize the equity analyst agents
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equity_analyst_1 = Agent(
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agent_name="Equity-Analyst-1",
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agent_description="Equity research analyst focused on fundamental analysis",
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system_prompt=FINANCIAL_AGENT_SYS_PROMPT,
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max_loops=1,
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model_name="gpt-4.1",
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dynamic_temperature_enabled=True,
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)
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equity_analyst_2 = Agent(
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agent_name="Equity-Analyst-2",
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agent_description="Equity research analyst focused on technical analysis",
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system_prompt=FINANCIAL_AGENT_SYS_PROMPT,
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max_loops=1,
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model_name="gpt-4.1",
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dynamic_temperature_enabled=True,
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)
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outputs = run_agents_concurrently_uvloop(
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agents=[equity_analyst_1, equity_analyst_2],
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task="Analyze high growth tech stocks focusing on fundamentals like revenue growth, margins, and market position. Create a detailed analysis table in markdown.",
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)
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print(outputs)
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