The investment seeks long-term growth of capital... Show more
The Fidelity Disruptive Technology ETF is an actively managed exchange-traded fund (ETF) that seeks long-term capital growth by investing at least 80% of its assets in companies the managers believe have the potential to disrupt existing markets. Launched in 2020, the fund takes a global approach, targeting businesses across big data, software-as-a-service (SaaS), cybersecurity, e-commerce, consumer technology, and next-generation hardware.
The portfolio holds approximately 48 names and is notably concentrated, with the top ten positions representing a substantial share of assets. Leading holdings have included Micron Technology (MU), Marvell Technology (MRVL), Taiwan Semiconductor Manufacturing (TSM), Palantir Technologies (PLTR), Palo Alto Networks (PANW), Advanced Micro Devices (AMD), NVIDIA (NVDA), Datadog (DDOG), Meta Platforms (META), and Microsoft (MSFT).
Sector exposure is heavily weighted toward information technology, with communication services and consumer cyclical contributing meaningful but smaller allocations. Unlike index-based funds, this is an actively managed strategy, meaning the managers can shift positioning across AI, cloud, and hardware themes rather than being bound to a benchmark's weightings.
The broader environment for disruptive technology has been shaped by accelerating investment in AI infrastructure, cloud computing, and data center capacity. Demand for advanced semiconductors, memory, networking components, and specialized AI accelerators has remained a central theme, supporting many of the fund's largest hardware holdings. Cybersecurity spending has also stayed resilient as enterprises modernize their technology stacks and face a widening threat landscape.
These structural growth drivers coexist with meaningful sensitivity to interest rates and inflation. Because many disruptive-growth companies are valued on future earnings, their share prices can react sharply to shifts in monetary policy expectations and long-term bond yields. Concentrated positioning and a high beta mean this ETF typically amplifies both upswings and drawdowns in the technology sector relative to broader market indexes.
Over recent weeks, FDTX has advanced modestly, with the 30-day move registering well under the double-digit threshold that would signal a sharp repricing. The fund's progress has been supported by strength across its semiconductor and data infrastructure holdings, reflecting continued enthusiasm for AI-related capital expenditure. This gradual, positive drift has been punctuated by routine volatility, consistent with the fund's elevated risk profile.
The fund's concentrated exposure to memory, storage, and AI-adjacent chipmakers has been a key contributor. Names tied to memory pricing, custom silicon, and AI networking have generally benefited from favorable industry dynamics, while cybersecurity and software positions have added diversification. On a longer horizon, FDTX's trajectory has been shaped by durable sector rotation toward AI infrastructure and next-generation hardware, with institutional capital flows into thematic technology strategies reinforcing the theme.
Because the portfolio emphasizes growth and innovation over value or yield, its performance remains closely tied to earnings momentum across its largest holdings and to the market's appetite for risk. Elevated beta means the ETF tends to outperform in risk-on environments and underperform during broad de-risking.
Tickeron's AI Screener is an AI-powered stock and ETF discovery platform that helps investors scan thousands of securities using technical indicators, fundamentals, volatility measures, AI-generated signals, market trends, price patterns, and customizable filters. It is designed to surface trending securities, breakout candidates, and new trading opportunities more efficiently than manual screening. For investors seeking to identify disruptive technology names or comparable thematic funds, the AI Screener offers a structured way to filter the investable universe by the characteristics that matter most to a given strategy.
Looking ahead, the most important variables for FDTX are likely to be the trajectory of AI capital expenditure, memory and semiconductor pricing cycles, and the pace of enterprise adoption of cloud and AI services. Sustained investment in data centers and accelerated computing would support many of the fund's core hardware holdings, while any slowdown in hyperscaler spending could weigh on sentiment.
Monetary policy and long-term interest rates will also matter, given the strategy's growth bias and high beta. Persistent inflation or a more restrictive rate path could pressure valuations, while a stable or easing backdrop could support risk appetite. Earnings cycles among the fund's largest positions, competitive dynamics in AI chips and memory, and evolving regulation around technology platforms and data usage represent additional catalysts. Investors should also monitor capital flows into thematic technology ETFs, as shifting allocations can influence both returns and volatility in a concentrated, active portfolio.
The information on this webpage is provided for general informational and educational purposes only and is not intended as investment advice, a recommendation to purchase or sell any security, or an offer or solicitation related to investments. It does not consider your personal financial situation, goals, or risk profile, and all investing carries inherent risks, including the possibility of losing your entire investment. For more details, please review our full disclaimer.
FDTX saw its Momentum Indicator move above the 0 level on September 16, 2026. This is an indication that the stock could be shifting in to a new upward move. Traders may want to consider buying the stock or buying call options. Tickeron's A.I.dvisor looked at 54 similar instances where the indicator turned positive. In 51 of the 54 cases, the stock moved higher in the following days. The odds of a move higher are at 90%.
FDTX moved above its 50-day moving average on September 16, 2026 date and that indicates a change from a downward trend to an upward trend.
Following a +1.36% 3-day Advance, the price is estimated to grow further. Considering data from situations where FDTX advanced for three days, in 226 of 245 cases, the price rose further within the following month. The odds of a continued upward trend are 90%.
The Aroon Indicator entered an Uptrend today. In 199 of 218 cases where FDTX Aroon's Indicator entered an Uptrend, the price rose further within the following month. The odds of a continued Uptrend are 90%.
The 10-day RSI Indicator for FDTX moved out of overbought territory on October 07, 2026. This could be a bearish sign for the stock. Traders may want to consider selling the stock or buying put options. Tickeron's A.I.dvisor looked at 24 similar instances where the indicator moved out of overbought territory. In 19 of the 24 cases, the stock moved lower in the following days. This puts the odds of a move lower at 79%.
The Stochastic Oscillator may be shifting from an upward trend to a downward trend. In 34 of 42 cases where FDTX's Stochastic Oscillator exited the overbought zone, the price fell further within the following month. The odds of a continued downward trend are 81%.
The Moving Average Convergence Divergence Histogram (MACD) for FDTX turned negative on October 12, 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 26 similar instances when the indicator turned negative. In 18 of the 26 cases the stock turned lower in the days that followed. This puts the odds of success at 69%.
Following a 3-day decline, the stock is projected to fall further. Considering past instances where FDTX 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 76%.
FDTX broke above its upper Bollinger Band on September 21, 2026. This could be a sign that the stock is set to drop as the stock moves back below the upper band and toward the middle band. You may want to consider selling the stock or exploring put options.
The average fundamental analysis ratings, where 1 is best and 100 is worst, are as follows
Category Technology