Stock recommendations under $100

Screening Filters

1. Price max: $100

   • Purpose: Keep the results focused on stocks the user can buy at an entry price under $100.
   • Rationale: This is the most direct match to the user’s request for “stock recommendations under $100.” It removes higher-priced names that don’t fit the budget constraint.

2. Market cap category: large, mega

   • Purpose: Focus on established companies.
   • Rationale: Large- and mega-cap stocks are generally more stable, more liquid, and less speculative than smaller companies. For a general recommendations list, this helps prioritize higher-quality names rather than very risky low-priced stocks.

3. Moving average relationship: PriceAboveMA20, PriceAboveMA200

   • Purpose: Identify stocks with positive short-term and long-term trend strength.
   • Rationale: A stock trading above both its 20-day and 200-day moving averages is often considered technically healthy. This helps surface stocks that are currently showing momentum and are not in clear downtrends.

4. Themes: AI Beneficiary, Cloud Computing, Software as a Service, Big Data, Semiconductor Equipment & Materials

   • Purpose: Narrow the search to sectors and themes aligned with the user’s prior “AI Stock Picker” interest.
   • Rationale: These themes capture companies likely to benefit from AI-related growth and adjacent infrastructure/software demand. This makes the screen more relevant to a user looking for modern growth-oriented stock ideas, not just any stock under $100.

5. Quarter revenue YoY growth min: 20%

   • Purpose: Require strong recent business growth.
   • Rationale: Revenue growth of at least 20% year over year helps filter for companies that are expanding meaningfully. This is especially important for growth themes like AI and software, where strong top-line growth can be a key indicator of momentum and market demand.

6. Analyst consensus: Strong Buy, Moderate Buy

   • Purpose: Include stocks that Wall Street generally views favorably.
   • Rationale: Analyst support adds a quality check to the screen. It helps prioritize names with positive expectations and reduces the chance of including stocks with weak fundamental sentiment.

Why Results Match:

• The price filter directly satisfies the “under $100” requirement.
• The market cap and analyst consensus filters tilt the list toward more established, higher-confidence ideas.
• The moving average filters help ensure the selected stocks are currently in favorable technical positions.
• The theme filters keep the results aligned with the user’s AI/growth-stock interest from the prior context.
• The revenue growth filter ensures the companies are not just cheap, but also demonstrating strong fundamental growth.

Together, these filters aim to find under-$100 stocks with growth potential, favorable technical momentum, and positive analyst support, which is a sensible set of characteristics for stock recommendations in this context.