Input Parameters
Historical Price & Moving Averages
Oscillators & Trend Strength
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Common-Size Statements for N/A
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Valuation Models for N/A
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Comparable Analysis for N/A
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Financial Health & Ratios for N/A
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Historical Statements & Projections for N/A
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Scenarios & Sensitivity for N/A
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AI-Powered Driver Analysis for N/A
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Global S&P 500 Driver Analysis
This analysis uses a machine learning model trained on historical data from all S&P 500 companies to find the most powerful universal drivers of stock price changes.
Note: This uses pre-compiled data. To update the data, run the `flask create-panel-data` command from your terminal.
Past Calculations
Recent Results
| Ticker | Start CF ($M) | Growth Rate (%) | Discount Rate (%) | Avg Result ($) | Date |
|---|---|---|---|---|---|
| MSFT | 92.69k | 11.1 | 8.35 | 512.47 | 2025-11-07 15:16 |
| AAPL | 99.39k | 4.5 | 8.32 | 235.45 | 2025-11-07 14:52 |
| GOOG | 73.07k | 10.6 | 8.72 | 190.28 | 2025-11-06 16:21 |
| AOS | 613.24 | 5.8 | 7.98 | 83.88 | 2025-11-05 16:10 |
| MMM | 10.78k | 2.4 | 7.96 | 154.6 | 2025-11-04 14:12 |