So would you recommend it or similar stock

Screening Filters

1. Market Cap ≥ $50B (market_cap: {'min': '50000000000'})

   • Purpose: Focus on large, established companies rather than small/speculative names.
   • Rationale: NVIDIA is a mega-cap stock. When you ask for “NVIDIA or similar stocks,” the closest analogues are other large, liquid semiconductor/AI names (e.g., AMD, AVGO, etc.), not tiny chip startups. This filter keeps the universe to mature, systemically important players with better liquidity and institutional interest.

2. Price Above 200‑Day & 20‑Day Moving Averages (moving_average_relationship: ['PriceAboveMA200', 'PriceAboveMA20'])

   • Purpose: Identify stocks in established uptrends both long-term (200-day) and short-term (20-day).
   • Rationale: Your question “is it a good time to buy” has a timing component. Screening for price above both the 200‑day and 20‑day MAs finds names where:
     • The long-term trend is still intact (200‑day)
     • Recent price action hasn’t broken down (20‑day)
       This is a common professional way to avoid names that are technically deteriorating, even if the business is strong.

3. Industry = Semiconductors & Semiconductor Equipment

   • Purpose: Restrict the universe to NVIDIA’s core industry peers.
   • Rationale: You asked for “NVIDIA or any other stock similar.” The most direct interpretation is other chip designers, foundries, and equipment makers driving/benefiting from the same secular trends (AI, data centers, high‑performance computing). This excludes unrelated tech names that may be AI-adjacent but not true semiconductor plays.

4. Themes = ['AI Beneficiary', 'Semiconductor Equipment & Materials', 'Technology']

   • Purpose: Emphasize stocks clearly tied to AI and the broader semiconductor ecosystem within technology.
   • Rationale:
     • AI Beneficiary: Captures companies whose revenues/profits are materially driven by AI buildout (GPUs, accelerators, data center silicon, etc.).
     • Semiconductor Equipment & Materials: Brings in upstream players (ASML‑like, equipment/materials suppliers) that are critical to making chips, which tend to benefit as chip demand grows.
     • Technology: Ensures we’re staying within the broader tech sector vs. industrial or commodity names.
       Together, these tags help find firms that are not just in “tech” but meaningfully part of the AI/semiconductor value chain, which is what makes them “similar” to NVIDIA from a growth-theme standpoint.

5. Exchange Listing = ['XNYS', 'XNAS', 'XASE']

   • Purpose: Limit to major U.S. exchanges.
   • Rationale:
     • NVIDIA is listed on NASDAQ (XNAS).
     • You’re using Robinhood and a U.S.-centric portfolio, so U.S.-listed names are most relevant and easily tradable.
     • Major U.S. exchanges also have higher reporting standards and liquidity, which is important for large, long-term positions.

6. Earnings Per Share 5‑Year CAGR ≥ 15% (eps_5yr_cagr: {'min': '15'})

   • Purpose: Focus on companies with strong historical earnings growth.
   • Rationale: NVIDIA is fundamentally a high-growth story. Filtering for EPS growth ≥ 15% over 5 years targets “quality growth” names rather than slow, mature chip companies. This aligns with your preference for high-growth assets and with the idea of “NVIDIA-like” growth dynamics.

Why These Results Match Your Question

• They are large, liquid U.S. semiconductor/AI companies, which is the closest institutional definition of “similar to NVIDIA.”
• They have strong historical earnings growth, matching your focus on long-term wealth accumulation via high-growth assets.
• They are in clear technical uptrends, which directly addresses “is it a good time to buy” from a price-action and momentum perspective (though valuation still needs separate analysis).
• The AI and semiconductor themes ensure that the names are not just tech in general, but specifically tied to the same secular AI and chip boom that drives NVIDIA’s story.

These filters don’t guarantee a good outcome, but they narrow the universe to stocks that are most comparable to NVIDIA in size, business model, growth profile, and current market strength.