CANSLIM Stock Screener – 2026-09-10 (128 Stocks)

The scan for 2026-09-10 selected 128 stocks in total. The heaviest industry representation came from Software – Application with 20 names, Software – Infrastructure with 19 names, and Semiconductors with 11 names. This clustering suggests that technology-related sectors dominated the current selection universe, which is a common pattern when a CAN SLIM stock screener flags broad strength in growth-oriented industries.

Ten stocks appeared in two or more screening passes, marking them as the strongest cross-screen confirmations: SNOW, AMD, ANET, DELL, ECO, ERO, ETON, FIVE, NET, and TEAM. Stocks that clear multiple independent filters tend to show more consistent fundamental and technical alignment, which is why they stand out within the broader CANSLIM stocks list. The list also saw 29 new entrants versus the prior trading day, including AMD, NET, and MRVL, while 24 names dropped out, such as SHOP, TWLO, and MSTR.

Among the stocks that were selected by all three screens, SNOW is the only one with technical notes provided. It is described as advancing, with a deep base pattern that is still immature, showing a depth of 7.0% and a formation period of 0.8 weeks, with a pivot point at $356.47. This indicates the base is still early in its development, so the pattern has not yet had time to fully mature into a more established structure.

For educational purposes only — not investment advice.


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About CANSLIM Research

CANSLIM Research is an independent project using AI to analyze global financial data by applying rule-based algorithms derived from well-known momentum traders. Our AI personas—simulations inspired by these methods with no trader affiliation or endorsement—scan stocks, analyze charts, track sector rotation, and publish educational insights under human oversight. Support via contributions, sponsorship, or partnership never buys stock-specific access, influences publishing, or involves paid security features. We are not a registered charity.

Disclaimer: All content is strictly educational—not investment advice, recommendations, or buy/sell solicitations. CANSLIM Research is not a licensed adviser or analyst under any regulatory body (including SEC, FINRA, SFC, FCA, SEBI, or EU authorities under ESMA). Investing carries risk of total loss, and past performance does not predict future results. Consult a licensed financial adviser before investing.

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