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from swarms import Agent, MajorityVoting
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from swarms_tools.finance.sector_analysis import macro_sector_analysis
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# Initialize multiple agents with a focus on asset allocation and risk management for a $50B portfolio
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# print(macro_sector_analysis())
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agents = [
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Agent(
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agent_name="Sector-Financial-Analyst",
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agent_description="Senior sector financial analyst focused on optimizing capital allocations for a $50B portfolio at BlackRock.",
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system_prompt="""You are a seasoned financial analyst at BlackRock tasked with optimizing asset allocations from a $50B portfolio. Your responsibilities include:
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- Conducting deep analyses of sector performance, historical trends, and financial fundamentals.
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- Evaluating revenue growth, profitability, and overall market positioning to determine the optimal dollar allocation for each sector.
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- Integrating risk considerations into your fiscal analysis to ensure that recommended capital assignments align with the overall risk tolerance.
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- Presenting a detailed breakdown of how much money should be allocated to each sector and justifying these recommendations with data-driven insights.
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Provide clear, quantitative recommendations in your output, including precise allocation figures for each sector.""",
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max_loops=1,
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model_name="groq/deepseek-r1-distill-qwen-32b",
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max_tokens=3000,
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),
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Agent(
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agent_name="Sector-Risk-Analyst",
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agent_description="Expert risk management analyst focused on calibrating sector risk allocations for a $50B institutional portfolio.",
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system_prompt="""You are a veteran risk analyst at BlackRock, responsible for defining and advising on risk allocation within a $50B portfolio. Your responsibilities include:
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- Assessing the risk profile and volatility metrics of each market sector.
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- Quantifying risk exposures, performing stress tests, and modeling adverse market scenarios.
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- Recommending precise risk allocation figures (both in absolute and percentage terms) for each sector, ensuring a balanced risk profile across the portfolio.
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- Integrating risk-adjusted return considerations into your analysis so that capital assignments reflect both opportunity and risk mitigation.
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Provide detailed, quantitative insights and clearly articulate how much risk should be assumed per sector relative to the $50B total.""",
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max_loops=1,
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model_name="groq/deepseek-r1-distill-qwen-32b",
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max_tokens=3000,
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),
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Agent(
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agent_name="Tech-Sector-Analyst",
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agent_description="Specialized analyst focused on the technology sector, tasked with determining capital and risk allocations within the $50B portfolio.",
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system_prompt="""You are a specialized technology sector analyst at BlackRock, focused on the high-growth potential of the tech sector as part of a $50B portfolio. Your responsibilities include:
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- Evaluating current and emerging tech trends, competitive dynamics, and innovation drivers.
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- Analyzing the risk/reward profile of tech investments, including both growth prospects and volatility.
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- Recommending how much capital should be allocated to the technology sector, alongside quantified risk allocations suited to its inherent risk profile.
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- Providing clear, data-backed insights that balance aggressive growth targets with measured risk exposures.
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Deliver a detailed breakdown of your recommendations, including both dollar figures and risk metrics, tailored for the tech sector in the overall portfolio.""",
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max_loops=1,
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model_name="groq/deepseek-r1-distill-qwen-32b",
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max_tokens=3000,
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),
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]
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consensus_agent = Agent(
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agent_name="Consensus-Strategist",
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agent_description="Senior strategist who synthesizes allocation and risk management analyses for a cohesive $50B portfolio strategy at BlackRock.",
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system_prompt="""You are a senior investment strategist at BlackRock responsible for integrating detailed sector analyses into a comprehensive $50B portfolio allocation strategy. Your tasks include:
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- Synthesizing the fiscal, risk, and sector-specific insights provided by your fellow analysts.
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- Balancing the recommendations to yield clear guidance on both capital allocations and corresponding risk exposure for each market sector.
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- Formulating a unified strategy that specifies the optimal dollar and risk allocations per sector, ensuring that the overall portfolio adheres to BlackRock’s risk tolerance and performance objectives.
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- Delivering a final narrative that includes precise allocation figures, supported by tables and quantitative data.
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Ensure that your recommendations are actionable, data-driven, and well-aligned with institutional investment strategies.""",
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max_loops=1,
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model_name="groq/deepseek-r1-distill-qwen-32b",
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max_tokens=3000,
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)
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# Create majority voting system
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majority_voting = MajorityVoting(
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name="Sector-Investment-Advisory-System",
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description="Multi-agent system for sector analysis that determines optimal capital and risk allocations for a $50B portfolio at BlackRock.",
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agents=agents,
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verbose=True,
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consensus_agent=consensus_agent,
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)
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# Run the analysis with majority voting
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result = majority_voting.run(
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task=f"""Evaluate the current market sectors and determine the optimal allocation of a $50B portfolio for BlackRock. Your analysis should include:
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1. A detailed table that outlines each sector along with the recommended dollar allocation and corresponding risk allocation.
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2. A comprehensive review for each sector covering:
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- Fundamental performance metrics, historical trends, and growth outlook.
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- Quantitative risk assessments including volatility measures, stress test results, and risk-adjusted return evaluations.
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3. Specific recommendations on how much capital (in dollars and as a percentage of $50B) should be invested in each sector.
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4. A detailed explanation of the recommended risk allocation for each sector, ensuring the overall portfolio risk stays within acceptable thresholds.
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5. A consolidated strategy that integrates both fiscal performance and risk management insights to support sector-based allocation decisions.
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Provide your output with a clear structure, including descriptive sections and tables for clarity.
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{macro_sector_analysis()}
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"""
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)
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print(result)
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