Model Portfolios

Public strategy snapshots built from AI-ranked stocks
Editorial AI InsightTop Portfolio Candidates

Momentum Weighted leads today's portfolio strategies

Momentum Weighted tops the snapshot with a 239.14% 30-day return versus 0.84% for the U.S. 500 Benchmark, ahead of AI Rank Change at 157.7%; it also leads on AI score at 4.1 versus 3.93 and momentum at 100.0 versus 95.52.

  • Top holdings listed: FBRX for Momentum Weighted, HYFM for AI Rank Change.
  • Biggest 100 Momentum trailed at 13.71%, with AI score 3.54 and momentum 68.03.
Updated 8/4/2026, 12:25:30 PM

Momentum Weighted

4 holdings • Total price $99.68
Review holdings, factor scores, and portfolio weights for the Momentum Weighted model portfolio.
This portfolio detail page is designed to connect a single strategy with its underlying stocks, making it easy to move from one portfolio view into ticker detail, ranked stocks, and strategy comparison.
Portfolio chart is based only on the performance of FBRX, FCUV, HYFM, INHD.
Latest price date for this portfolio: 2026-08-03.

Portfolio performance

Range
07-0607-1307-2007-2708-03$24.22$44.22$64.22$90.2699.83159.83219.83339.14
TickerCompanySectorAIMomentumRiskPriceWeight
1FBRX
Forte Biosciences, Inc.
Health Care
XNAS4.1100.05.0$76.6133.33%
2FCUV
Focus Universal Inc.
Information Technology
XNAS4.1100.05.0$11.5033.33%
3HYFM
Hydrofarm Holdings Group, Inc.
Industrials
XNAS4.2100.05.0$2.1533.33%
4INHD
Inno Holdings Inc.
Materials
XNAS4.0100.05.0$9.4225.00%

What AI Stock Platform is

AI Stock Platform is an AI stock research platform and stock analysis tool for retail investors.

It focuses on U.S. and European stocks, refreshes public pages daily after market close, supports a public research workflow, and is not a broker or trade execution app.

Browse public model portfolios, compare strategy snapshots, and review holdings and weights built from AI-ranked stock signals.

This portfolio analysis hub is designed for comparing public model strategies, reviewing their current holdings and weights, and moving from strategy-level performance into ticker detail and broader ranked-stock context.

What each strategy is

Each public portfolio applies a different selection or weighting rule to the ranked stock universe, so the strategy name matters as much as the current holdings.

How holdings are selected

Compare AI, momentum, risk, weights, and exclusions first, then open ticker pages when you want company-level context for a holding that stands out.

Freshness and trust

Public rankings and overview pages refresh daily after market close. Where available, pages show the latest snapshot or price date so you can judge freshness before comparing signals. Review methodology and portfolio scope.

How to use this page

  • Pick a strategy to view holdings, factor averages, and recent performance.
  • Open a holding to inspect AI score, momentum, risk, and context.
  • Use comparison when you want to evaluate strategies side-by-side.

Method summary

Model portfolios are built from AI-ranked stocks using rules for weighting and risk control, giving users another way to review best AI stocks inside diversified strategy baskets. Designed for research and monitoring — not advice. Public rankings and overview pages refresh daily after market close. Where available, pages show the latest snapshot or price date so you can judge freshness before comparing signals.

Data sources

Market/price data: Marketstack. Model outputs + aggregates: AI Stock Platform pipelines. News context: sources listed on the News page.

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