WHERE I WILL SEE THE AI RECOMENDED STOCK

Screening Filters

1. Market Cap ≥ $5B (market_cap: {'min': '5000000000'})

   • Purpose: Focus on larger, more established companies.
   • Rationale: “AI‑recommended” usually implies relatively lower risk, higher-quality names rather than tiny, speculative firms. Large-cap stocks tend to have more stable business models, better disclosure, and broader analyst coverage—making them more suitable for systematic or AI‑driven selection.

2. Sector in Software/Technology (sector: ['Software & IT Services', 'Technology', 'Technology Equipment'])

   • Purpose: Target industries most directly tied to AI and digital transformation.
   • Rationale: AI innovation is heavily concentrated in software, IT services, and technology hardware/equipment. Limiting to these sectors keeps the list focused on companies that are more likely to be central to AI trends, not just tangential beneficiaries.

3. AI/Tech Themes (themes: ['AI Beneficiary', 'Cloud Computing', 'Big Data', 'Robotics', 'Software as a Service', 'Semiconductor Equipment & Materials', 'Technology'])

   • Purpose: Narrow down to firms explicitly identified as part of the AI and related technology ecosystem.
   • Rationale:
     • AI Beneficiary: Directly targets companies expected to gain from AI adoption.
     • Cloud Computing, Big Data, SaaS: Core infrastructure layers that power AI models and data processing.
     • Robotics: A key application area of AI.
     • Semiconductor Equipment & Materials: Chips and hardware are foundational for AI computation.
     • Technology (broad theme): Captures additional relevant tech plays that support or deploy AI.
       Together, these themes align the screen with “AI‑related” or “AI‑leveraged” businesses, which is what users often mean by “AI‑recommended” stocks.

4. Net Profit Margin ≥ 10% (net_margin: {'min': '10'})

   • Purpose: Ensure selected companies are meaningfully profitable.
   • Rationale: High or solid profitability suggests operational efficiency and pricing power. For AI‑driven or model‑driven recommendations, profitable companies typically score better on quality and risk metrics, making them more suitable as core holdings rather than speculative bets.

5. 5‑Year Revenue CAGR ≥ 15% (revenue_5yr_cagr: {'min': '15'})

   • Purpose: Focus on companies with strong historical growth.
   • Rationale: AI and related tech markets are fast‑growing. Requiring at least 15% compound annual revenue growth selects businesses that are executing well in growth markets—consistent with the idea of “promising” or “AI‑aligned” leaders rather than stagnating incumbents.

6. Analyst Consensus: Strong Buy or Moderate Buy (analyst_consensus: ['Strong Buy', 'Moderate Buy'])

   • Purpose: Align with broader professional opinion and filter out names with weak or negative sentiment.
   • Rationale: If you’re looking for an “AI‑recommended” stock list, it’s logical to include a human‑analyst quality check. Limiting to Strong/Moderate Buy means:
     • Analysts, on average, see upside potential.
     • There are fewer red flags in fundamentals or outlook.
       This serves as an external validation layer on top of the AI/tech and financial filters.

Why Results Match Your Query

• The sector and theme filters directly target companies that are either building AI, enabling it (cloud, chips, big data), or heavily benefiting from it.
• The profitability and growth filters align with what an AI model or systematic strategy might favor: strong, growing, financially healthy tech businesses.
• The large‑cap and analyst consensus filters make the list more “institutional‑grade”: less speculative, more widely followed, and supported by professional research—consistent with what users often expect from AI‑curated recommendations rather than random small-cap bets.

In short, these filters are designed so that when you “see the AI‑recommended stocks,” you’re looking at established, profitable, fast‑growing AI/tech leaders that also have supportive analyst views.