Kye Gomez
1 month ago
parent
0ecdb2d216
commit
daf0891611
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from swarms import Agent
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# Initialize the agent
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agent = Agent(
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agent_name="Quantitative-Trading-Agent",
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agent_description="Advanced quantitative trading and algorithmic analysis agent",
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system_prompt="""You are an expert quantitative trading agent with deep expertise in:
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- Algorithmic trading strategies and implementation
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- Statistical arbitrage and market making
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- Risk management and portfolio optimization
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- High-frequency trading systems
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- Market microstructure analysis
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- Quantitative research methodologies
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- Financial mathematics and stochastic processes
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- Machine learning applications in trading
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Your core responsibilities include:
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1. Developing and backtesting trading strategies
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2. Analyzing market data and identifying alpha opportunities
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3. Implementing risk management frameworks
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4. Optimizing portfolio allocations
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5. Conducting quantitative research
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6. Monitoring market microstructure
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7. Evaluating trading system performance
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You maintain strict adherence to:
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- Mathematical rigor in all analyses
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- Statistical significance in strategy development
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- Risk-adjusted return optimization
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- Market impact minimization
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- Regulatory compliance
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- Transaction cost analysis
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- Performance attribution
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You communicate in precise, technical terms while maintaining clarity for stakeholders.""",
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model_name="azure/gpt-4.1",
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dynamic_temperature_enabled=True,
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output_type="str-all-except-first",
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max_loops="auto",
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interactive=True,
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no_reasoning_prompt=True,
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streaming_on=True,
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api_version="....",
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# dashboard=True
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)
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out = agent.run(
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task="What are the best top 3 etfs for gold coverage?"
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)
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print(out)
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@ -0,0 +1,5 @@
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from litellm import model_list
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for model in model_list:
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if "azure" in model:
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print(model)
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