ISIN IE00BYZK4552TER 0,40 %Assets 4 979 M €
Volatility 1y 22 %Worst fall 1y −13 %Since 2016-09-08
Themes · general research
Robotics and autonomy
Surgical and warehouse robots, chip testing and cobots, autonomy and humanoid robots.
Can lose most
Can lose most of the money. Typical volatility 77 %, typical worst fall −72 %; 2 of 5 companies are more than half below their high.
Mostly profitable large companies (Intuitive Surgical, Teradyne, Tesla); the pure plays are micro-caps that fell 85 % from their high.
Typical volatilityMedian 1-year volatility of the theme's companies (annualised daily moves).
77 %
Typical worst fallMedian of each company's worst peak-to-trough fall in five years (or since listing).
−72 %
Typical distance from the high
−31 %
Typical 1-year return
−16 %
How to hold it in the EU
US-listed ETFs have no KID and cannot be bought by EU retail investors; these UCITS lines can. One fund line spreads the single-company risk.
ISIN IE00BLCHJB90TER 0,50 %Assets 133 M €
Volatility 1y 22 %Worst fall 1y −16 %Since 2021-11-16
Green: available; dashed with “?”: the venue is offered, check the line in the terminal; crossed out: not available.
US theme ETFs (BOTZ) are used only to measure the theme's risk: not buyable by EU retail.
The companies
Research data of 2026-10-15; where we score the company, its live Smart Score and red flags are shown.
| Ticker | Market cap | Revenue (y/y) | P/S | Volatility 1y | Worst fall | From high | 1 year | 12 m: ×2 / −50 % | Where | Our rating |
|---|---|---|---|---|---|---|---|---|---|---|
| TSLA Tesla: EVs, autonomy and humanoid robots | 1,45 T$ | 103,6 B$ (+12 %) | 14× | 45 % | −74 % | −25 % | −16 % | 3 % / 4 % | Freedom24IBKR | 2/10 |
| ISRG Intuitive Surgical: surgical robots | 148,5 B$ | 11,0 B$ (+21 %) | 13× | 37 % | −50 % | −31 % | −4 % | 0 % / 0 % | Freedom24IBKR | 5/10 |
| TER Teradyne: chip testing and collaborative robots | 56,2 B$ | 4,5 B$ (+58 %) | 13× | 77 % | −60 % | −26 % | +158 % | 18 % / 0 % | Freedom24IBKR | 5/10Caution. Accruals or the Beneish M-score are in the watch zone. More in the glossary → |
| SYM Symbotic: warehouse robotics | 22,9 B$ | 2,6 B$ (+21 %) | 9× | 79 % | −72 % | −57 % | −46 % | 42 % / 6 % | Freedom24IBKR | Serious warning. Share count growing more than 10 % a year over three years. More in the glossary → |
| SERV Serve Robotics: delivery robots | 298 M$ | 8 M$ (+426 %) | 38× | 80 % | −85 % | −85 % | −79 % | 17 % / 16 % | Freedom24IBKR | 1/10Caution. Negative free cash flow in at least two of the last three years. More in the glossary → |
Survivorship: the list is of companies known in 2026; earlier names that went bankrupt or were taken private are missing, so the “×2” share is an upper bound.
Base rates: how such bets usually end
Research results to keep in mind before any upside.
IPOs, 3 years38,5 % of IPOs lost more than half in 3 years; 16,1 % doubled, 0,5 % grew 11× or more.
Jay Ritter, IPO statistics, Table 16e (9,195 IPOs 1975–2021), 23.03.2026
SPAC mergers−51 % average 1-year return after a SPAC merger (2012–2024).
Ritter / Gahng–Ritter–Zhang, Table 15c (625 de-SPACs 2012–2024), 05.10.2026
Thematic ETFs−30 % risk-adjusted over the first 5 years of specialised (thematic) ETFs.
Lottery stocks> 1 % a month: how much “lottery” stocks (the biggest one-day jumps) underperform.
Where the gains come from4 % of US stocks created all the net wealth since 1926.
Volatility drag≈ 46 % a year is lost to volatility at 96 % volatility: +40 % a year on average compounds to about −6 %.
standard approximation: geometric mean ≈ arithmetic mean − σ²/2 (our arithmetic)
Quantum computingAI infrastructure and chipsNuclear power and small reactorsSpaceCrypto equities and bitcoin productsGenomics and biotech platforms
Source: Nasdaq historical closes 15.10.2021–14.10.2026; stockanalysis.com fundamentals 15.10.2026; justETF profiles and quotes 15.10.2026 · Research data of 2026-10-15 · Methodology and sources
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