Recommend some ai stock to buy

Screening Filters

1. market_cap min: 2,000,000,000

   • Purpose: Focus on companies with at least a $2B market cap.
   • Rationale: This helps screen for established, investable AI stocks rather than tiny speculative names. Larger companies tend to have more financial stability, better liquidity, and more public information, which is useful when recommending stocks to buy.

2. moving_average_relationship: PriceAboveMA200

   • Purpose: Select stocks trading above their 200-day moving average.
   • Rationale: This is a commonly used technical signal that suggests the stock is in a longer-term uptrend. For an AI stock recommendation, this helps identify companies with positive price momentum rather than names in persistent downtrends.

3. themes: AI Beneficiary

   • Purpose: Narrow the universe to companies tied to the AI theme.
   • Rationale: This is the most direct relevance filter for the user’s request. It targets businesses that are likely to benefit from AI adoption, infrastructure spending, software integration, or AI-enabled products and services.

4. quarter_revenue_yoy_growth min: 0

   • Purpose: Require non-negative year-over-year quarterly revenue growth.
   • Rationale: This helps avoid companies whose core business is shrinking. For AI stocks, it prioritizes firms that are at least maintaining or growing sales, which supports the case that AI exposure is translating into real business momentum.

5. analyst_consensus: Moderate Buy, Strong Buy

   • Purpose: Keep stocks with favorable analyst sentiment.
   • Rationale: Analyst upgrades and buy ratings can help confirm that professional coverage sees upside potential. This adds a quality-control layer so the list leans toward AI names that Wall Street already views positively.

Why Results Match:

• The combination of AI theme exposure and positive analyst sentiment ensures the screen finds stocks that are both relevant to AI and broadly favored by analysts.
• Market cap and above the 200-day moving average help tilt the list toward higher-quality, more established stocks with constructive price trends.
• Revenue growth not below zero helps exclude weaker businesses and favors companies whose fundamentals are at least stable, improving the odds that the AI story is supported by actual performance.
• Together, these filters aim to surface AI-related stocks with a mix of thematic relevance, business strength, market stability, and positive momentum—which is a sensible starting point for “AI stocks to buy.”