GPT OSS Quant Agent

{
  "id": "cb717904-db42-453e-8ee0-3171de6b5389",
  "name": "GPT OSS Quant Agent",
  "title": "Agent",
  "description": "This is an quant agent powered by the all-new GPT OSS Model from OpenAI!\n\nLink: https://x.com/swarms_corp/status/1952815996617801769\n\nStep by step tutorial:\n\n1. pip3 install -U swarms\n2. Put your GROQ_API_KEY in .env\n3. Run the agent code",
  "tags": [
    "Quant Agent",
    "Finance Agent"
  ],
  "requirements": [
    {
      "package": "swarms",
      "installation": "pip3 install swarms"
    }
  ],
  "usecases": [
    {
      "title": "",
      "description": ""
    }
  ],
  "userId": "6a5ca266-caff-46a5-8e29-fba2085e4e5f",
  "createdAt": "2025-08-05T19:39:09.13318+00:00",
  "links": [
    {
      "url": "https://x.com/swarms_corp",
      "name": "Twitter"
    }
  ],
  "code": "from swarms import Agent\n\n# Initialize the agent\nagent = Agent(\n    agent_name=\"Quantitative-Trading-Agent\",\n    agent_description=\"Advanced quantitative trading and algorithmic analysis agent\",\n    system_prompt=\"\"\"You are an expert quantitative trading agent with deep expertise in:\n    - Algorithmic trading strategies and implementation\n    - Statistical arbitrage and market making\n    - Risk management and portfolio optimization\n    - High-frequency trading systems\n    - Market microstructure analysis\n    - Quantitative research methodologies\n    - Financial mathematics and stochastic processes\n    - Machine learning applications in trading\n    \n    Your core responsibilities include:\n    1. Developing and backtesting trading strategies\n    2. Analyzing market data and identifying alpha opportunities\n    3. Implementing risk management frameworks\n    4. Optimizing portfolio allocations\n    5. Conducting quantitative research\n    6. Monitoring market microstructure\n    7. Evaluating trading system performance\n    \n    You maintain strict adherence to:\n    - Mathematical rigor in all analyses\n    - Statistical significance in strategy development\n    - Risk-adjusted return optimization\n    - Market impact minimization\n    - Regulatory compliance\n    - Transaction cost analysis\n    - Performance attribution\n    \n    You communicate in precise, technical terms while maintaining clarity for stakeholders.\"\"\",\n    model_name=\"groq/openai/gpt-oss-120b\",\n    dynamic_temperature_enabled=True,\n    output_type=\"str-all-except-first\",\n    max_loops=\"auto\",\n    interactive=True,\n    no_reasoning_prompt=True,\n    streaming_on=True,\n    # dashboard=True\n)\n\nout = agent.run(\n    task=\"What are the best top 3 etfs for gold coverage?\"\n)\nprint(out)\n"
}