Investors evaluating consumer-oriented equity exposure frequently encounter two funds that appear similar on the surface but operate very differently underneath. The Fidelity MSCI Consumer Discretionary Index ETF (FDIS) and the Amplify Online Retail ETF (IBUY) both sit within the broader consumer discretionary universe, yet they serve distinct purposes. FDIS is a broad, passive benchmark vehicle capturing the entire U.S. consumer discretionary sector, while IBUY is a thematic, globally oriented product targeting the narrower digital-commerce theme. Comparing them is valuable today because shifting interest rate expectations, evolving consumer spending patterns, and the ongoing rotation between mega-cap and smaller growth names are reshaping relative positioning across these two very different exposure profiles. I also checked this using Tickeron’s AI Screener to see how the funds compare to others in the sector.
FDIS is a passively managed index fund that seeks to replicate, before fees and expenses, the performance of the MSCI USA IMI Consumer Discretionary 25/50 Index. This benchmark captures large-, mid-, and small-cap U.S. companies across the consumer discretionary sector, spanning internet retail, automobiles, home improvement, restaurants, hotels, and apparel. The fund holds roughly 250 securities, though its profile is top-heavy: AMZN (Amazon) and TSLA (Tesla) together account for more than a third of assets. Other leading positions include HD (Home Depot), MCD (McDonald's), TJX, BKNG (Booking Holdings), SBUX (Starbucks), and LOW (Lowe's). With a 0.08% net expense ratio and a portfolio weighted heavily toward large-cap names, FDIS is one of the least expensive and most liquid ways to obtain broad consumer discretionary sector exposure. From what I see, its structure supports steady tracking of the overall sector cycle.
IBUY is a thematic index fund that seeks to track the EQM Online Retail Index, a global basket of companies deriving significant revenue from online, virtual, and marketplace sales. Its holdings fall into four categories: traditional retail, marketplace, omnichannel retail, and travel. Unlike FDIS, IBUY uses an equal-weighting approach within geographic buckets, which dampens single-stock concentration but tilts the portfolio toward smaller and mid-cap names. The fund holds roughly 76–86 securities, with top positions historically including W (Wayfair), EBAY, PYPL (PayPal), ETSY, ABNB (Airbnb), EXPE (Expedia), SPOT (Spotify), CART (Maplebear), and LYFT. Roughly 78% of assets are U.S. listed with a meaningful non-U.S. sleeve. Its 0.65% expense ratio reflects the higher cost of thematic, globally sourced indexing, and its smaller asset base results in a thinner liquidity profile than FDIS.
Both funds are shaped by the health of the U.S. consumer and the trajectory of discretionary spending. FDIS is sensitive to the broader cycle: housing and home improvement demand, auto sales, travel, and dining all flow through its largest holdings, making it a barometer of aggregate consumer confidence. IBUY, by contrast, is exposed to the secular shift toward e-commerce and digital platforms, but its small- and mid-cap tilt makes it more reactive to financing conditions and growth-stock sentiment. In recent market cycles, elevated interest rates have pressured higher-multiple growth names, while resilient labor markets and household balance sheets have supported mega-cap consumer leaders. Regulatory scrutiny of large technology platforms, evolving advertising economics, and cross-border commerce dynamics add further nuance, affecting the two funds through different transmission channels. One thing that stands out is how these macro factors hit each fund differently.
Over recent weeks and months, FDIS has generally exhibited more stable relative positioning, anchored by mega-cap leaders with strong cash generation and global scale. Its concentrated exposure to AMZN and TSLA means single-stock earnings cycles and sentiment can drive a large share of fund performance. IBUY has shown greater volatility, consistent with its smaller average market capitalization and thematic concentration. When risk appetite favors speculative, high-growth e-commerce names, IBUY can outperform; when markets rotate toward quality and liquidity, its higher-fee, lower-diversification structure tends to lag. These differing risk profiles mean the two funds rarely deliver identical returns despite occupying adjacent thematic territory, reinforcing the value of an explicit ETF comparison for investors weighing relative positioning. I’m watching this closely as rate expectations evolve.
Based on observable structural factors, Tickeron's AI would currently favor FDIS over IBUY. FDIS offers a materially lower cost of ownership, broader diversification across roughly 250 holdings, superior liquidity, and exposure to cash-generative mega-cap leaders that have demonstrated more consistent trend behavior across recent market cycles. While IBUY provides differentiated thematic access to online retail and can capture periods of strong risk appetite, its higher expense ratio, smaller asset base, and greater small- and mid-cap sensitivity introduce additional volatility and concentration risk. From a probabilistic standpoint, the AI's preference tilts toward the fund with the more durable cost, diversification, and liquidity profile — FDIS.
In my own analysis of funds like these, I often turn to Tickeron’s AI Screener to quickly filter for sector exposure, expense ratios, and liquidity metrics across similar ETFs. It helps surface comparable ideas based on technical patterns and fundamentals without manual effort. The tool has become a regular part of how I cross-check structural differences before making allocation decisions. To explore how AI-driven filtering can sharpen your own fund and stock research, try the AI Screener today.
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The Moving Average Convergence Divergence (MACD) for FDIS turned positive on October 05, 2026. Looking at past instances where FDIS's MACD turned positive, the stock continued to rise in 40 of 44 cases over the following month. The odds of a continued upward trend are 90%.
The Momentum Indicator moved above the 0 level on October 26, 2026. You may want to consider a long position or call options on FDIS as a result. In 66 of 79 past instances where the momentum indicator moved above 0, the stock continued to climb. The odds of a continued upward trend are 84%.
FDIS moved above its 50-day moving average on October 26, 2026 date and that indicates a change from a downward trend to an upward trend.
The 10-day moving average for FDIS crossed bullishly above the 50-day moving average on October 26, 2026. This indicates that the trend has shifted higher and could be considered a buy signal. In 11 of 16 past instances when the 10-day crossed above the 50-day, the stock continued to move higher over the following month. The odds of a continued upward trend are 69%.
Following a +0.75% 3-day Advance, the price is estimated to grow further. Considering data from situations where FDIS advanced for three days, in 254 of 314 cases, the price rose further within the following month. The odds of a continued upward trend are 81%.
The Aroon Indicator entered an Uptrend today. In 224 of 268 cases where FDIS Aroon's Indicator entered an Uptrend, the price rose further within the following month. The odds of a continued Uptrend are 84%.
The Stochastic Oscillator demonstrated that the ticker has stayed in the overbought zone for 3 days. The longer the ticker stays in the overbought zone, the sooner a price pull-back is expected.
Following a 3-day decline, the stock is projected to fall further. Considering past instances where FDIS 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%.
FDIS broke above its upper Bollinger Band on November 02, 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 ConsumerDiscretionary