Biggest 100 Momentum
Review holdings, factor scores, and portfolio weights for the Biggest 100 Momentum model portfolio.
This portfolio detail page is designed to connect one strategy with its underlying stocks, sector mix, and ranked-universe context so you can move from allocation review into ticker analysis without switching workflows.
Universe: Biggest 100 Stocks
Selection: Top 10 by momentum within the Biggest 100 universe
Weighting: Momentum-weighted
Portfolio chart is based only on the performance of TMO, CVX, XOM, RTX, UNP, COP, T, ABT, BAC, JPM.
Latest price date for this portfolio: 2026-07-23
Portfolio performance
Range
| Ticker | Company | Sector | AI | Momentum | Risk | Price | Weight | ||
|---|---|---|---|---|---|---|---|---|---|
| 1 | TMO | Thermo Fisher Scientific, Inc. | Health Care | XNYS | 3.8 | 69 | 4.3 | $572.32 | 10.40% |
| 2 | CVX | Chevron Corporation | Energy | XNYS | 3.8 | 69 | 3.5 | $194.42 | 10.38% |
| 3 | XOM | Exxon Mobil Corporation | Energy | XNYS | 3.7 | 69 | 3.6 | $156.89 | 10.32% |
| 4 | RTX | RTX Corporation | Industrials | XNYS | 3.3 | 68 | 5.0 | $209.16 | 10.15% |
| 5 | UNP | Union Pacific Corp. | Industrials | XNYS | 3.9 | 67 | 3.4 | $304.33 | 10.14% |
| 6 | COP | ConocoPhillips | Energy | XNYS | 3.4 | 67 | 4.4 | $120.20 | 10.05% |
| 7 | T | AT&T Inc. | Communication Services | XNYS | 4.0 | 67 | 3.4 | $22.96 | 10.04% |
| 8 | ABT | Abbott Laboratories | Health Care | XNYS | 3.6 | 64 | 3.6 | $100.75 | 9.56% |
| 9 | BAC | Bank of America Corporation | Financials | XNYS | 3.7 | 63 | 3.6 | $61.28 | 9.48% |
| 10 | JPM | JPMorgan Chase & Co. | Financials | XNYS | 3.9 | 63 | 3.5 | $349.90 | 9.47% |
How to use this page
- •Review the holdings table to understand which stocks carry the largest weights in this strategy.
- •Open a ticker page from the holdings list when you want AI trend and factor detail for one position.
- •Use the compare page if you want to benchmark this portfolio against other public strategies.
Method summary
Portfolio detail pages summarize one public strategy using holdings, factor scores, and allocation weights. They are intended to help users understand how AI-ranked stocks are grouped into model portfolios for research workflows.
Data sources
Market/price data: Marketstack. Model outputs + aggregates: AI Stock Platform pipelines. News context: sources listed on the News page.