Learning Timeline
Key Insights
Automatic Context Detection
You don't need to manually specify which file belongs to which company in your prompt. The AI can read the content of each PDF and automatically categorize the data (Amazon vs. Google vs. Nvidia).
Python Chart Interactivity
The generated graphs are not static images. They are Python-based widgets that allow you to modify parameters (such as the number of simulations or time duration) and see the results change in real-time.
Prompts
Financial Analysis & Monte Carlo Prompt
Target:
Gemini 3 Pro
Create a comprehensive financial analysis report based on the attached files. Use advanced algorithms to suggest price forecasts providing rationale and confidence intervals. Generate a Monte Carlo forecast simulation for future stock price trajectories using Geometric Brownian Motion.
Step by Step
Financial Analysis & Stock Forecasting Workflow
- Prepare the quarterly financial report PDF files (Q4 reports) for the companies you want to analyze (e.g., Amazon, Google, Nvidia).
- Open the Gemini 3 Pro interface.
- Click the upload button ('+' icon or paperclip) in the chat field and select all the PDF files at once.
- Enter a prompt requesting a comprehensive analysis and price forecast using Monte Carlo simulation (refer to the Prompt card).
- Press the 'Send' button or Enter to start the analysis process.
- Review the generated 'Executive Summary' to ensure the model identified the data correctly (e.g., compare 'operating income' with the original PDF).
- Scroll to the bottom of the output to see the interactive 'Monte Carlo forecast' widget.
- Adjust the simulation settings on the widget (change values or sliders based on your analysis requirements).
- Click the 'Run simulation' button within the widget to regenerate stock price trajectories based on the new settings.
- Repeat the adjustment steps for other companies (such as Google) displayed in the analysis results.