What is Stockscout?

Stockscout is an ETF holdings analyser. It reads the holdings of 44 actively managed ETFs across 6 investment themes every day, ranks every stock by how much conviction those ETFs have in it, and surfaces the Top 10 names per theme.

The idea is simple. When multiple serious ETFs all own the same stock and give it a large weighting, that is a signal worth paying attention to. Stockscout makes that signal visible at a glance.

What is an ETF?

An ETF (Exchange-Traded Fund) is a basket of stocks that trades on an exchange like a single share. A thematic ETF owns many companies within one investment theme. For example, ARTY (iShares Artificial Intelligence ETF) holds around 30 companies involved in AI, weighted by the fund manager's active conviction.

These funds manage billions of dollars of real capital. Their holdings are published daily. When an ETF increases its weighting in a stock, it is buying more of that stock. When multiple ETFs do that simultaneously, it means institutional money is concentrating in one name.

Stockscout tracks 44 actively managed ETFs across 6 themes, giving you a view across 44 institutional products simultaneously. All ETFs in the universe are discretionary, actively managed funds. Index trackers are excluded — passive index construction reflects mechanical rules, not manager conviction.

Tracked ETFs, 44 active funds

last updated June 2026

AI & ML10 ETFs
AIS, ARTY, BAI, IGPT, IVES, ALAI, CHAT, AIFD, SPRX, AOTG
Semiconductors4 ETFs
SOXX, PSI, XSD, DRAM
Broad Tech17 ETFs
PTF, WCLD, IGV, FDTX, GTEK, ARKK, MARS, FRWD, BCTK, FWD, CBSE, FCUS, WGMI, CNEQ, SGRT, SPMO, XMMO
Electrification5 ETFs
POW, VOLT, PBD, PBW, IVEP
Industrials5 ETFs
AIRR, PRN, RSHO, IDEF, BILT
Meme3 ETFs
BUZZ, MEME, RKNG

The Scores

Each stock tile shows three scores. Together they tell you how much institutional conviction sits behind a name, and whether that conviction is growing.

10/11

Coverage Score

The fraction of tracked ETFs in this theme that hold the stock, shown as x/n and as a percentage. The denominator n varies by theme — AI & ML scores out of 11, Broad Tech out of 13, Semiconductors and Electrification out of 4, and so on. A stock held by 10 of 11 AI & ML ETFs has 91% coverage.

  • 11/11100% coverage. Every ETF in the theme holds this stock. Maximum breadth.
  • 8/11Strong. ~73% coverage. A few ETFs are out. Still a high-conviction name.
  • 5/11Moderate. ~45% coverage. Held by roughly half the theme. More specialised exposure.

Coverage is used as a linear coefficient in the Weight Score formula: avgWeight x coverage. Higher coverage amplifies the weight signal in direct proportion.

6.16% avg wt

Weight Score

The average portfolio weight this stock receives across every theme ETF, counting funds that do not hold it as 0%. The full formula is: avgWeight x coverage. Multiplying by coverage scales the raw average by how broadly the stock is held, so a genuine broad-market bet rises while a stock held by only one fund is discounted in direct proportion to its narrowness.

This is the signal that separates a filler position from a conviction bet. An ETF might hold 40 stocks, but if it gives one stock a 13% weighting, that is not passive exposure. That is an active bet.

A stock can have 100% coverage but a low Weight Score (held by everyone, but only as a small position). A high Weight Score with lower coverage (held by fewer funds but in size) is often the more interesting signal.

+45% VS

Velocity Score

The percentage change in a stock's Weight Score over a given period (1D, 1W, 1M, or 6M). A Velocity Score of +45% over 1W means institutional funds collectively increased their weighted conviction in this stock by 45% in a week.

Velocity Score is the early-detection layer. A stock can rank 8th today but be moving fast toward the top. If its Weight Score is accelerating, Velocity Score will catch that before the ranking changes.

  • +Positive VS (green). Conviction is growing. Funds are adding or weighting up.
  • -Negative VS (red). Conviction is fading. Funds are trimming or dropping the stock.

Velocity Score requires at least one prior snapshot to calculate. New entrants to the Top 10 list show a “NEW” badge instead of a VS until the next daily run.

Top10 vs S&P500 Chart

At the top of each theme view you will see a performance chart. It compares two things:

  • Top10 line (green). The equal-weighted average return of the 10 highest-conviction names in this theme.
  • S&P500 line (blue). The return of the broader U.S. market over the same period.

The chart starts at 100 for both lines. If the green line is above the blue line, the Top10 selection has outperformed the market over that period.

Use the time toggle (1W / 1M / 6M / 1Y) to zoom in or out. The delta badge in the top right of the chart shows the performance gap between the two lines.

Theme ETF Performance Tile

Beside the chart (on desktop) you will see a tile ranking the tracked ETFs for that theme by return over the selected period.

This lets you see at a glance which ETF has been performing strongest within the theme. For example in AI & ML, a concentrated fund like ARTY often diverges from a broader fund like ALAI. That divergence tells you where the theme momentum is concentrated.

Reading a Stock Tile

Each tile has a front face and a back face. Tap or click any tile to flip it.

Front face

  • Logo and name. Company identity at a glance.
  • Ticker. The stock symbol.
  • Coverage badge. ETF ownership breadth (x/n, relative to theme).
  • Price and period return. Current price and return for the selected period.
  • Weight Score. Average ETF weighting across holders.
  • Velocity Score badge. Green (+) or red (-) showing how fast Weight Score is changing.
  • Price chart. Adjust the period using 1W / 1M / 6M / 1Y.

Back face

  • ETF presence. Which ETFs hold the stock and which do not.
  • Key financials. Market cap, P/E, EPS, revenue growth, gross margin, dividend yield.
  • Tony's Analysis. Investment thesis, key risks, and what to watch.

Tony's Analysis

Tony is our U.S. Equity and ETF Research Analyst. Every stock in the Top10 has a note from Tony on the back of the tile.

Tony covers three things per stock: the investment thesis (why this stock ranks high and what is driving it), the key risks (what could break the thesis), and what to watch (the specific catalysts or data points that matter most in the near term).

Tony does not give investment advice. He explains the data. The score ranks the stock. The note explains why.

How to Use Stockscout

  1. 1

    Pick your theme. Use the toggle in the header to switch between AI & ML, Semiconductors, Broad Tech, Electrification, Industrials, and Meme.

  2. 2

    Check the chart. See how the Top10 selection is performing versus the S&P500. Use the time toggle to change the period.

  3. 3

    Scan the tiles. Tiles are ranked by conviction. The highest-conviction name (highest ETF weighting and breadth) is top left.

  4. 4

    Check the scores. Coverage Score tells you how many ETFs own it. Weight Score tells you how much they own. Velocity Score tells you if that conviction is growing. All three high means maximum and accelerating conviction.

  5. 5

    Flip the tile. Click any tile to see the full ETF breakdown, financials and Tony's qualitative analysis note.

  6. 6

    Adjust the chart period. Use the 1W / 1M / 6M / 1Y buttons inside each tile to see the price history over different periods.

The Data

ETF holdings are published daily by the fund providers (iShares, Invesco, ARK, Alger, Wedbush, Tema, Roundhill, VistaShares, First Trust, Fidelity, WisdomTree, and others). Stockscout fetches these published holdings every day and rebuilds the rankings automatically.

Fundamentals (P/E, revenue growth, EPS, gross margin) come from public market data sources. Price data comes from exchange feeds.

All data is indicative. Stockscout does not modify, filter, or adjust the underlying ETF holdings data. What the ETF publishes is what you see.

Stockscout is for informational purposes only and does not constitute financial advice. All data is indicative. Past performance is not a guarantee of future results. Always do your own research.