Highest return index mutual funds

Screening Filters

1. year_price_change_pct (no explicit bounds, used for ranking)

   • Purpose: Capture and rank funds by their recent performance.
   • Rationale: The user is asking for index mutual funds “with the highest returns.” The most direct quantitative proxy for this is the percentage price (or NAV) change over the last year. Leaving this filter unconstrained typically means:
     • We include all eligible funds that meet the other criteria, and
     • Then sort or rank them by 1‑year price change to surface those with the highest recent returns.
       This aligns the screen with your focus on “highest returns,” while letting the other filters define what kind of funds we’re comparing.

2. themes: ['Large Cap Blend Equities']

   • Purpose: Focus on broad, core equity index funds rather than niche or sector-specific products.
   • Rationale:
     • Many of the most widely used index mutual funds track broad large‑cap blend benchmarks (e.g., S&P 500, total market with large‑cap tilt).
     • Large Cap Blend is a common “core” asset class where index mutual funds are especially prevalent and directly comparable.
       By limiting to “Large Cap Blend Equities,” we’re targeting the segment where true, broad market index mutual funds are concentrated, making it more likely you see classic index-style offerings rather than narrowly focused or actively managed strategies.

3. stock_position_pct: ['MoreThan90Pct']

   • Purpose: Ensure the fund is predominantly invested in stocks, as is typical for pure equity index mutual funds.
   • Rationale:
     • Index mutual funds that track equity indices generally hold almost all their assets in the underlying stocks (or very close substitutes).
     • Requiring that more than 90% of the portfolio is in stocks filters out:
       • Balanced funds (mix of stocks/bonds)
       • Target-date and allocation funds
       • Funds holding large cash or derivative overlays that don’t behave like straightforward index trackers
         This helps isolate funds that operate like classic equity index mutual funds, so performance comparisons are meaningful and aligned with your intent.

4. expense_ratio: {'max': '0.05'}

   • Purpose: Restrict results to very low-cost funds, which is a key characteristic of index mutual funds.
   • Rationale:
     • Index mutual funds are known for minimal fees because they track an index rather than pay for expensive active management.
     • A maximum expense ratio of 0.05 (i.e., 0.05% annually) is extremely low and typical of leading index providers.
     • Lower expenses directly improve net returns to investors over time, and low fees are one of the easiest ways to distinguish index-like products from expensive, actively managed funds.
       Using this ceiling strongly biases the results toward genuine, cost-efficient index mutual funds, and also supports your goal of finding the best net returns.

Why Results Match Your Request

• The Large Cap Blend theme and >90% stock exposure filters narrow the universe to classic, broad equity funds that are most likely to be true index mutual funds rather than complex or actively managed products.
• The very low expense ratio cap (≤0.05) is a strong screen for index-style, low-cost mutual funds, excluding high-fee active funds that typically aren’t what investors mean by “index mutual funds.”
• Using year_price_change_pct as the key performance metric (and ranking by it) directly targets the funds with the highest recent returns within that index-like, low-cost universe.

Together, these filters find funds that (1) behave like traditional equity index mutual funds, (2) have very low fees, and (3) sit at the top of that group in terms of recent performance.