Can you recommend etf's

Screening Filters

1. monthly_average_dollar_volume ≥ $2,000,000

   • Purpose: Ensure the ETFs are liquid and easy to trade.
   • Rationale: A higher average dollar trading volume means:
     • Tighter bid‑ask spreads (lower implicit trading costs).
     • Easier entry and exit, even with larger order sizes.
     • Less risk of getting “stuck” in an illiquid ETF.
       For a general ETF recommendation request, focusing on liquid funds is a sensible baseline.

2. themes: Large Cap Blend Equities

   • Purpose: Focus on broad, core stock-market exposure.
   • Rationale: “Large Cap Blend Equities” are:
     • Diversified across many large, established companies.
     • “Blend” = mix of growth and value, not a narrow style bet.
     • Typically used as core holdings in a portfolio.
       When someone simply asks “Can you recommend ETFs?” (without specifying niche sectors or strategies), broad large-cap equity ETFs are a default starting point for many investors.

3. stock_position_pct: MoreThan90Pct

   • Purpose: Make sure the ETF is primarily invested in stocks, not bonds, commodities, or derivatives.
   • Rationale: Requiring >90% in equities:
     • Aligns with the “equity ETF” idea most people have in mind.
     • Reduces complexity from heavy derivative or alternative exposures.
     • Makes performance easier to understand (it should broadly follow stock markets).

4. expense_ratio ≤ 0.07 (≤ 0.07%)

   • Purpose: Limit results to low-cost ETFs.
   • Rationale: A max expense ratio of 0.07% is very strict:
     • These are typically among the cheapest ETFs available.
     • Lower fees mean more of the ETF’s return stays in your pocket over time.
     • For core, broad-market ETFs, ultra-low cost is both common and highly desirable.
       For general recommendations, cost efficiency is a key criterion.

5. inception_date ≤ 2010-01-01

   • Purpose: Include only seasoned ETFs with a long track record.
   • Rationale: Requiring inception before 2010:
     • Ensures at least ~15 years of performance history.
     • Avoids brand-new products with untested behavior or low assets.
     • Suggests the ETF has survived multiple market cycles and remained viable.
       This aligns with looking for established, reliable ETFs rather than experimental or faddish launches.

Why Results Match Your Request

• The filters steer toward broad, plain-vanilla, stock-focused ETFs that are widely used as core holdings—exactly the type most people mean when they ask for ETF recommendations without extra detail.
• They emphasize liquidity, diversification, low cost, and long history, which are key qualities professionals typically seek when recommending ETFs to a general audience.