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Scratchpad

Task: Analyze recent one-month trend of NVDA stock

  1. Fetch NVDA stock data for the past one month (from today 2025-02-03 to about 2025-01-03) using yfinance library in a Python script.
  2. Visualize NVDA stock price trend with matplotlib and save plot as an image (nvda_trend.png).
  3. Identify any sudden/big moves by checking daily percentage change (e.g., threshold >5%).
  4. Research possible causes behind these moves and analyze market sentiment via recent news using a search query.
  5. Compile all info into a final report markdown file (nvda_analysis_report.md) with analysis insights and embed the generated chart image.

Next Steps:

  • Install Python packages: yfinance, matplotlib, pandas.
  • Create a Python script (nvda_analysis.py) for data retrieval and visualization.
  • Execute the script and capture output.
  • Perform web search for NVDA stock sentiment and news.
  • Create final report markdown file summarizing findings and embedding visualization.