• Quant Weekly – Up 32%
• Quant 30 – Up 17%
• Legacy – Up over 240%
• Changes made in the Quant Portfolios

Model Portfolio Quant Alpha Weekly

One new addition this week.

Add: TTMI (TTM Technologies)

TTM Technologies — a Santa Ana-based heavyweight — builds high-end PCBs and RF systems used across defense, aerospace, AI, and 5G.

• Runs two segments: PCB and RF & Specialty Components.
• Makes mission systems, RF/microwave assemblies, and custom circuit boards for everything from fighter jets to data centers.
• Offers design, testing, and quick-turn manufacturing — full-service from blueprint to build.
• Its tech powers radar, comms, and surveillance systems under the MOSAIC radar brand.
• Customers include OEMs, government agencies, and hyperscalers in defense, automotive, and cloud infrastructure.
• Founded in 1978, still out of California with a global footprint in the U.S. and Taiwan.

Model Portfolio Quant 30

One new Add and Remove this week. I expect some more changes next week. The earnings reports are starting to come out.

Add: VSAT (Viasat)

Remove: TSM (Taiwan Semiconductor)

Model Portfolio Quant Alpha’s – Legacy

The portfolio now has 21 stocks in it. It is up over +240% since it began in 2023.

Remove: None

Click here for the Quant Alpha’s – Legacy details

Performance to 10-30-2025

Portfolio start date 6/27/25
Quant Alpha Weekly	32.40%
EQAL (Russell 1000 Equal Weight ETF)	5.30%
Portfolio start date 6/27/25
Quant 30	17.05%
EQAL (Russell 1000 Equal Weight ETF)	5.30%
Portfolio start date 4/14/23
Quant Alpha’s – Legacy	264.80%
EQAL (Russell 1000 Equal Weight ETF)	29.00%

Click here for the Live Quant scorecard

The Quant Alpha Weekly PortfolioThe Portfolio remains substantially ahead of its benchmark. It is up over 32% since it began on June 27. 2025.

The Quant 30 Portfolio This marks the start of more active turnover as we power thru the thousands of earnings reports about to start being released. The Portfolio is up by 17% now.

The Quant Alpha’s – Legacy Portfolio maintained its over 240% return in a classic Position Trading Portfolio implementation.

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