Ai stocks

Screening Filters

1. Market cap category: large, mega

   • Purpose: Focus on established AI companies with scale and resources.
   • Rationale: Large and mega-cap stocks are more likely to have the capital, customer base, and infrastructure needed to build and monetize AI products consistently.

2. Relative volume: min 1.5

   • Purpose: Find stocks with above-normal trading activity.
   • Rationale: Higher relative volume often signals stronger investor interest, which is useful when screening AI stocks because the market tends to react quickly to AI-related developments, earnings, and guidance.

3. Moving average relationship: PriceAboveMA20, PriceAboveMA200

   • Purpose: Identify stocks in short-term and long-term uptrends.
   • Rationale: If a stock is trading above both its 20-day and 200-day moving averages, it suggests positive momentum and that the market is already rewarding the stock—useful for spotting stronger AI names rather than weak or declining ones.

4. EMA 20: min 0

   • Purpose: Require the stock to be above its 20-day exponential moving average.
   • Rationale: This reinforces short-term bullish price behavior, helping filter for AI stocks that are currently trending upward.

5. EMA 60: min 0

   • Purpose: Require the stock to be above its 60-day exponential moving average.
   • Rationale: This adds another layer of intermediate-term trend confirmation, avoiding AI stocks that may have only a brief bounce.

6. Themes: AI Beneficiary, Cloud Computing, Big Data, Software as a Service, Semiconductors & Semiconductor Equipment, Technology

   • Purpose: Directly target companies tied to the AI ecosystem.
   • Rationale: AI exposure is often found not only in pure-play AI firms, but also in cloud providers, software platforms, data infrastructure companies, and semiconductor makers that power AI workloads.

7. Gross margin: min 30

   • Purpose: Prefer businesses with solid unit economics.
   • Rationale: AI companies with strong gross margins usually have more pricing power and better scalability, which is important because AI development can be expensive and capital-intensive.

8. Operating margin: min 0

   • Purpose: Exclude companies that are still losing money at the operating level.
   • Rationale: This helps screen for AI companies that are at least operationally profitable or near breakeven, improving the quality of the list.

9. Quarter revenue YoY growth: min 15

   • Purpose: Find companies with strong recent growth.
   • Rationale: AI stocks are often valued on growth. Strong quarterly revenue growth suggests the company is benefiting from AI demand or related spending trends.

10. Quarter EPS YoY growth: min 15

    • Purpose: Capture strong recent earnings growth.
    • Rationale: This helps identify AI names where growth is translating into bottom-line improvement, not just top-line expansion.

11. Annual revenue YoY growth: min 10

    • Purpose: Confirm sustained business expansion.
    • Rationale: Annual growth filters out companies with only a temporary spike and favors AI-related businesses with a consistent growth trajectory.

12. Annual EPS YoY growth: min 10

    • Purpose: Look for durable earnings improvement over time.
    • Rationale: This supports the idea that the company’s AI exposure is contributing to long-term financial performance, not just short-term hype.

Why Results Match:

• The theme filters directly target companies involved in AI, cloud, data, software, and semiconductors—the most common parts of the AI value chain.
• The trend and volume filters help identify AI stocks that are already attracting market attention and moving with strength.
• The profitability and growth filters favor higher-quality AI companies that are monetizing AI effectively rather than speculative names with weak fundamentals.
• Using large and mega-cap categories increases the likelihood of finding established AI leaders with the scale to compete in the sector.