The investment seeks to provide investment returns that correspond, before fees and expenses, generally to the performance of the Fidelity Cloud Computing Index℠... Show more
The Fidelity Cloud Computing ETF (FCLD) is a passively managed, thematic equity fund that seeks to track the Fidelity Cloud Computing Index. The index is designed to capture a global universe of companies, across the market-capitalization spectrum, that provide products or services enabling the increased adoption of cloud computing — defined as the delivery of computing services over the internet.
The fund is structurally tilted toward information technology, which typically represents roughly 85–90% of assets. The remainder is spread across real estate — largely data-center operators such as EQIX and DLR — along with communication services and consumer cyclical names. Geographically, the portfolio is overwhelmingly U.S.-centric, with modest exposure to Ireland, Israel, Taiwan, Australia, and China.
Top holdings span both software and hardware. Software and platform leaders include MSFT, CRM, NOW, SNOW, and DDOG, while storage and infrastructure names such as STX, WDC, SNDK, and DELL reflect the index's hardware component. With roughly 60–65 holdings and a 0.39% expense ratio, the fund offers diversified thematic access while remaining more concentrated than a broad market index.
This blended software-plus-hardware positioning means the ETF's future performance potential is tied both to durable subscription-based software growth and to more cyclical demand for storage and computing equipment — a mix that can amplify returns in an AI-driven capex upcycle but also heighten volatility during slowdowns.
The ETF forecast for FCLD is closely tied to the broader technology sector outlook. Generative AI has become a structural tailwind, driving demand for cloud compute, data storage, and data-center capacity. As enterprises shift workloads to the cloud and adopt AI-enabled software, companies across the fund's software and infrastructure spectrum stand to benefit from sustained spending.
However, the macro outlook introduces meaningful sensitivity. Higher-for-longer interest rates tend to pressure richly valued growth equities, while a resilient economy supports corporate IT budgets. Inflation trends and Federal Reserve policy therefore act as a dual-edged catalyst: disinflation and eventual rate cuts could support valuation expansion, whereas persistent inflation or tighter policy could weigh on the fund's growth-oriented exposure.
Market trends also favor continued digital transformation, yet the storage-hardware component of the portfolio is more cyclical, influenced by inventory cycles and component pricing. This creates a bifurcated risk profile — software names offer more predictable recurring revenue, while hardware names introduce earnings volatility tied to the semiconductor and storage cycles. Global markets add a modest layer of diversification, though the fund's U.S. concentration keeps its trajectory tightly linked to domestic technology spending and investor risk appetite.
Tickeron's Trend Prediction Engine is an AI-powered forecasting tool that helps traders identify whether a stock, ETF, or other asset may move bullish, bearish, or sideways over the next week or month. It is designed to help users spot developing trends, evaluate possible breakouts or reversals, and explore predictions across a wide range of tradable instruments. The platform includes searchable prediction categories, historical context, and alert-oriented functionality to support more informed decision-making. For investors seeking a forward-looking lens on thematic vehicles like this cloud-computing fund, the Trend Prediction Engine offers a structured way to monitor evolving market trends and potential turning points.
Over the long term, the structural trends underpinning cloud computing remain powerful. The ongoing shift from on-premises IT infrastructure to cloud-based services is still far from complete across many industries, supporting sustained demand for software, platforms, and data storage. AI adoption is accelerating this transition, as training and running AI models require substantial cloud compute and storage resources.
Technology adoption cycles, the proliferation of data, and the rise of data-intensive applications continue to expand the addressable market for cloud infrastructure. Meanwhile, data-center real estate is emerging as a distinct growth theme, with demand for power and capacity tightening in key markets — a trend that benefits the fund's data-center operators.
Structural risks include the cyclicality of hardware, potential regulatory scrutiny of large technology platforms, and concentration risk inherent in a market-cap-weighted thematic fund. Valuation sensitivity to the interest-rate cycle also remains a consideration, as growth-oriented strategies tend to be more responsive to shifts in the cost of capital. As global investment trends increasingly favor AI infrastructure and digital transformation, the fund's future outlook remains anchored to the pace of enterprise cloud adoption and the durability of AI-related spending — while remaining exposed to the cyclical swings that periodically reshape the technology sector.
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.
| 1 Day | |||
|---|---|---|---|
| ETFs / NAME | Price $ | Chg $ | Chg % |
| RFV | 147.69 | 1.17 | +0.80% |
| Invesco S&P Midcap 400 Pure Value ETF (RFV) | |||
| XIMR | 31.20 | 0.03 | +0.11% |
| FT Vest U.S. Equity Buffer & Premium Income ETF - March (XIMR) | |||
| RDIV | 62.57 | 0.04 | +0.06% |
| Invesco S&P Ultra Dividend Revenue ETF (RDIV) | |||
| GISC | 49.30 | -0.06 | -0.11% |
| Guggenheim Securitized Income ETF (GISC) | |||
| BIS | 10.08 | -0.08 | -0.79% |
| ProShares UltraShort Nasdaq Biotechnology (BIS) | |||
| 1 Day | |||
|---|---|---|---|
| ETFs / NAME | Price $ | Chg $ | Chg % |
| BIS | 10.08 | -0.08 | -0.79% |
| ProShares UltraShort Nasdaq Biotechnology (BIS) | |||
| GISC | 49.30 | -0.06 | -0.11% |
| Guggenheim Securitized Income ETF (GISC) | |||
| RDIV | 62.57 | 0.04 | +0.06% |
| Invesco S&P Ultra Dividend Revenue ETF (RDIV) | |||
| XIMR | 31.20 | 0.03 | +0.11% |
| FT Vest U.S. Equity Buffer & Premium Income ETF - March (XIMR) | |||
| RFV | 147.69 | 1.17 | +0.80% |
| Invesco S&P Midcap 400 Pure Value ETF (RFV) | |||
A.I.dvisor indicates that over the last year, FCLD has been closely correlated with FTEC. These tickers have moved in lockstep 88% of the time. This A.I.-generated data suggests there is a high statistical probability that if FCLD jumps, then FTEC could also see price increases.
| Ticker / NAME | Correlation To FCLD | 1D Price Change % | ||
|---|---|---|---|---|
| FCLD | 100% | -0.98% | ||
| FTEC - FCLD | 88% Closely correlated | -1.28% | ||
| CIBR - FCLD | 88% Closely correlated | -0.05% | ||
| CHAT - FCLD | 81% Closely correlated | -1.12% | ||
| VGT - FCLD | 73% Closely correlated | -1.30% | ||
| IYW - FCLD | 72% Closely correlated | -1.37% | ||
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The 10-day moving average for FCLD crossed bearishly below the 50-day moving average on October 22, 2026. This indicates that the trend has shifted lower and could be considered a sell signal. In 18 of 20 past instances when the 10-day crossed below the 50-day, the stock continued to move higher over the following month. The odds of a continued downward trend are 90%.
The Momentum Indicator moved below the 0 level on October 29, 2026. You may want to consider selling the stock, shorting the stock, or exploring put options on FCLD as a result. In 71 of 82 cases where the Momentum Indicator fell below 0, the stock fell further within the subsequent month. The odds of a continued downward trend are 87%.
The Moving Average Convergence Divergence Histogram (MACD) for FCLD turned negative on October 29, 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 51 similar instances when the indicator turned negative. In 41 of the 51 cases the stock turned lower in the days that followed. This puts the odds of success at 80%.
FCLD moved below its 50-day moving average on October 29, 2026 date and that indicates a change from an upward trend to a downward trend.
Following a 3-day decline, the stock is projected to fall further. Considering past instances where FCLD 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 85%.
The Aroon Indicator for FCLD entered a downward trend on November 11, 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 RSI Indicator points to a transition from a downward trend to an upward trend -- in cases where FCLD's RSI Indicator exited the oversold zone, 29 of 29 resulted in an increase in price. Tickeron's analysis proposes that the odds of a continued upward trend are 90%.
The Stochastic Oscillator shows that the ticker has stayed in the oversold zone for 7 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 +3.77% 3-day Advance, the price is estimated to grow further. Considering data from situations where FCLD advanced for three days, in 326 of 359 cases, the price rose further within the following month. The odds of a continued upward trend are 90%.
FCLD may jump back above the lower band and head toward the middle band. Traders may consider buying the stock or exploring call options.