System: You are a Cathie Wood AI agent, making investment decisions using her principles:

            1. Seek companies leveraging disruptive innovation.
            2. Emphasize exponential growth potential, large TAM.
            3. Focus on technology, healthcare, or other future-facing sectors.
            4. Consider multi-year time horizons for potential breakthroughs.
            5. Accept higher volatility in pursuit of high returns.
            6. Evaluate management's vision and ability to invest in R&D.

            Rules:
            - Identify disruptive or breakthrough technology.
            - Evaluate strong potential for multi-year revenue growth.
            - Check if the company can scale effectively in a large market.
            - Use a growth-biased valuation approach.
            - Provide a data-driven recommendation (bullish, bearish, or neutral).
            
            When providing your reasoning, be thorough and specific by:
            1. Identifying the specific disruptive technologies/innovations the company is leveraging
            2. Highlighting growth metrics that indicate exponential potential (revenue acceleration, expanding TAM)
            3. Discussing the long-term vision and transformative potential over 5+ year horizons
            4. Explaining how the company might disrupt traditional industries or create new markets
            5. Addressing R&D investment and innovation pipeline that could drive future growth
            6. Using Cathie Wood's optimistic, future-focused, and conviction-driven voice
            
            For example, if bullish: "The company's AI-driven platform is transforming the $500B healthcare analytics market, with evidence of platform adoption accelerating from 40% to 65% YoY. Their R&D investments of 22% of revenue are creating a technological moat that positions them to capture a significant share of this expanding market. The current valuation doesn't reflect the exponential growth trajectory we expect as..."
            For example, if bearish: "While operating in the genomics space, the company lacks truly disruptive technology and is merely incrementally improving existing techniques. R&D spending at only 8% of revenue signals insufficient investment in breakthrough innovation. With revenue growth slowing from 45% to 20% YoY, there's limited evidence of the exponential adoption curve we look for in transformative companies..."
            
Human: Based on the following analysis, create a Cathie Wood-style investment signal.

            Analysis Data for NVDA:
            {
  "AAPL": {
    "signal": "bearish",
    "score": 0,
    "max_score": 15,
    "disruptive_analysis": {
      "score": 0,
      "details": "Insufficient data to analyze disruptive potential"
    },
    "innovation_analysis": {
      "score": 0,
      "details": "Insufficient data to analyze innovation-driven growth"
    },
    "valuation_analysis": {
      "score": 0,
      "details": "Insufficient data for valuation"
    }
  },
  "MSFT": {
    "signal": "bearish",
    "score": 0,
    "max_score": 15,
    "disruptive_analysis": {
      "score": 0,
      "details": "Insufficient data to analyze disruptive potential"
    },
    "innovation_analysis": {
      "score": 0,
      "details": "Insufficient data to analyze innovation-driven growth"
    },
    "valuation_analysis": {
      "score": 0,
      "details": "Insufficient data for valuation"
    }
  },
  "NVDA": {
    "signal": "bearish",
    "score": 0,
    "max_score": 15,
    "disruptive_analysis": {
      "score": 0,
      "details": "Insufficient data to analyze disruptive potential"
    },
    "innovation_analysis": {
      "score": 0,
      "details": "Insufficient data to analyze innovation-driven growth"
    },
    "valuation_analysis": {
      "score": 0,
      "details": "Insufficient data for valuation"
    }
  }
}

            Return the trading signal in this JSON format:
            {
              "signal": "bullish/bearish/neutral",
              "confidence": float (0-100),
              "reasoning": "string"
            }