KOMP is a passively managed, open-ended exchange-traded fund issued by State Street Global Advisors under the SPDR brand. Its goal is to deliver results that, before fees and expenses, correspond generally to the total return of the S&P Kensho New Economies Composite Index. That index combines several S&P "new economy" sub-indexes built around themes such as autonomous vehicles, 3D printing, genetic engineering, robotics, artificial intelligence, and advanced computing.
The index applies a natural-language-processing algorithm to company filings to identify relevant terminology, then classifies holdings as "core" or "non-core." Core names receive an overweight within each sub-index, and the composite applies proprietary risk/return weights across sub-indexes before rebalancing semi-annually. The fund holds approximately 500 securities, with the top 10 positions representing only about 11% of assets. Sector weights concentrate in information technology, industrials, and healthcare, with smaller exposures elsewhere. Assets under management stand at roughly $2.5 billion, and the expense ratio is 0.20%.
KOMP captures several overlapping structural trends rather than any single industry. Automation and industrial technology continue to benefit from labor shortages, manufacturing reshoring, and rising capital spending on productivity tools. Advances in artificial intelligence and accelerated computing have widened demand for semiconductors, software, and industrial suppliers alike. I also checked this using Tickeron’s AI Screener to see how the stock compares to others in the industry.
At the same time, many holdings carry notable interest-rate sensitivity because they are long-duration growth businesses whose valuations hinge on distant earnings. Healthcare innovation through genomic tools and lab equipment adds another growth avenue but brings exposure to R&D cycles and regulatory shifts. The thematic space has matured, with investors now favoring profitable leaders over earlier-stage names, which influences how KOMP's diversified basket performs across different market environments.
KOMP has pulled back roughly 9% over the trailing month, with the decline accelerating in recent sessions. Over the trailing quarter the drop reaches approximately 15%, reflecting a broader de-rating of growth and innovation equities rather than any single stock event. The fund trades within its 52-week range of roughly $56 to $76, highlighting both the scale of the correction and the strategy's inherent volatility.
The equal-weighted, multi-theme construction spreads performance across hundreds of names instead of concentrating it in a few mega-caps. This approach can limit single-stock shocks yet still leaves the fund exposed to sector-wide repricing when information technology and industrial growth names sell off together. Because KOMP spans small-, mid-, and large-cap issuers across developed and emerging markets, its beta remains higher than a standard market-cap-weighted benchmark, which helps explain stronger results in risk-on phases and weaker results during tightening conditions. When reviewing forward signals, I also looked at KOMP using Tickeron’s AI Trend Prediction Engine.
Interest-rate expectations will likely remain central to KOMP's path through 2026. A higher-for-longer environment would keep pressure on long-duration holdings, while a sustained easing cycle could support renewed interest in innovation-linked equities. Inflation trends and the pace of policy adjustment will therefore stay important to watch.
Earnings trends among the largest holdings also matter. Given the fund's dispersion, results will depend less on any one company and more on whether automation, AI, and healthcare-innovation names sustain revenue growth and margin expansion. Policy moves around trade, industrial incentives, and regulation of artificial intelligence or biotechnology represent additional variables, as do flows into thematic ETFs.
In my own work I regularly turn to Tickeron’s AI Screener when evaluating thematic ETFs like KOMP. The platform lets me scan thousands of securities with technical indicators, fundamentals, volatility measures, AI signals, and pattern filters in one place. It helps surface comparable names and confirm how KOMP stacks up against peers without manually reviewing every chart. The tool supports both short-term idea generation and longer-term thematic analysis, which I find useful when building context around a fund's positioning.
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Sergey Savastiouk, Ph.D. has a degree in Applied Mathematics from Moscow University and has extensive experience as an entrepreneur, investor, manager, and mathematician. His professional expertise is in applied mathematics, mathematical modeling, system and pattern analysis, and software and hardware system integration. He has served as the CEO of several hi-tech start-up companies and nonprofit organizations, which has given him proven capabilities in business strategy for high-tech start-up companies, market assessment, company formation, team building, product development, marketing, and sales. He has published numerous articles in journals and magazines on related fields. As a retail investor, he spent 15 years developing his proprietary trading and quantitative algorithms (now Tickeron’s A.I.), which brought him significant returns in trading the stock market. His current work and goal in founding Tickeron is to bring professional, sophisticated stock market analysis capabilities to retail investors via an easy-to-use interface.
The RSI Indicator for KOMP moved out of oversold territory on November 06, 2026. This could be a sign that the stock is shifting from a downward trend to an upward trend. Traders may want to buy the stock or call options. The A.I.dvisor looked at 27 similar instances when the indicator left oversold territory. In 25 of the 27 cases the stock moved higher. This puts the odds of a move higher at 90%.
The Stochastic Oscillator shows that the ticker has stayed in the oversold zone for 3 days. The price of this ticker is presumed to bounce back soon, since the longer the ticker stays in the oversold zone, the more promptly an upward trend is expected.
Following a +1.79% 3-day Advance, the price is estimated to grow further. Considering data from situations where KOMP advanced for three days, in 262 of 303 cases, the price rose further within the following month. The odds of a continued upward trend are 86%.
KOMP may jump back above the lower band and head toward the middle band. Traders may consider buying the stock or exploring call options.
The Momentum Indicator moved below the 0 level on November 02, 2026. You may want to consider selling the stock, shorting the stock, or exploring put options on KOMP as a result. In 71 of 83 cases where the Momentum Indicator fell below 0, the stock fell further within the subsequent month. The odds of a continued downward trend are 86%.
The Moving Average Convergence Divergence Histogram (MACD) for KOMP turned negative on November 05, 2026. This could be a sign that the stock is set to turn lower in the coming weeks. Traders may want to sell the stock or buy put options. Tickeron's A.I.dvisor looked at 47 similar instances when the indicator turned negative. In 38 of the 47 cases the stock turned lower in the days that followed. This puts the odds of success at 81%.
KOMP moved below its 50-day moving average on October 07, 2026 date and that indicates a change from an upward trend to a downward trend.
The 50-day moving average for KOMP moved below the 200-day moving average on November 03, 2026. This could be a long-term bearish signal for the stock as the stock shifts to an downward trend.
Following a 3-day decline, the stock is projected to fall further. Considering past instances where KOMP declined for three days, the price rose further in 50 of 62 cases within the following month. The odds of a continued downward trend are 82%.
The Aroon Indicator for KOMP entered a downward trend on November 06, 2026. This could indicate a strong downward move is ahead for the stock. Traders may want to consider selling the stock or buying put options.
The average fundamental analysis ratings, where 1 is best and 100 is worst, are as follows
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