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78 lines
2.2 KiB
78 lines
2.2 KiB
from swarms import Agent, SequentialWorkflow
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# import litellm
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# litellm._turn_on_debug()
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# Initialize market research agent
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market_researcher = Agent(
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agent_name="Market-Researcher",
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system_prompt="""You are a market research specialist. Your tasks include:
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1. Analyzing market trends and patterns
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2. Identifying market opportunities and threats
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3. Evaluating competitor strategies
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4. Assessing customer needs and preferences
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5. Providing actionable market insights""",
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model_name="claude-3-sonnet-20240229",
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max_loops=1,
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temperature=0.7,
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streaming_on=True,
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)
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# Initialize financial analyst agent
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financial_analyst = Agent(
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agent_name="Financial-Analyst",
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system_prompt="""You are a financial analysis expert. Your responsibilities include:
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1. Analyzing financial statements
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2. Evaluating investment opportunities
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3. Assessing risk factors
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4. Providing financial forecasts
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5. Recommending financial strategies""",
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model_name="claude-3-sonnet-20240229",
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max_loops=1,
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streaming_on=True,
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temperature=0.7,
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)
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# Initialize technical analyst agent
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technical_analyst = Agent(
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agent_name="Technical-Analyst",
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system_prompt="""You are a technical analysis specialist. Your focus areas include:
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1. Analyzing price patterns and trends
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2. Evaluating technical indicators
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3. Identifying support and resistance levels
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4. Assessing market momentum
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5. Providing trading recommendations""",
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model_name="claude-3-sonnet-20240229",
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max_loops=1,
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temperature=0.7,
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streaming_on=True,
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)
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# Create list of agents
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agents = [market_researcher, financial_analyst, technical_analyst]
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# # Initialize the concurrent workflow
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# workflow = ConcurrentWorkflow(
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# name="market-analysis-workflow",
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# agents=agents,
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# max_loops=1,
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# )
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# # Run the workflow
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# result = workflow.run(
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# "Analyze Tesla (TSLA) stock from market, financial, and technical perspectives"
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# )
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router = SequentialWorkflow(
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name="market-analysis-router",
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agents=agents,
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max_loops=1,
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# output_type="all",
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)
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result = router.run(
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"Analyze Tesla (TSLA) stock from market, financial, and technical perspectives"
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)
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print(result)
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