At first glance, OND and XLY may appear to share a common theme: both touch consumer-facing businesses. In practice, they represent very different investment strategies. OND is a narrowly focused thematic product built around the "on-demand" economy, spanning digital media, gaming, food delivery, and ridesharing across both developed and emerging markets. XLY is a traditional sector ETF providing broad, large-cap U.S. consumer discretionary exposure. Comparing them is useful for investors deciding between a concentrated thematic bet and a diversified sector allocation. This ETF comparison examines their sector exposure, fund performance, and relative positioning in the current market environment. I also checked this using Tickeron’s AI Screener to see how the two line up against peers.
The ProShares On-Demand ETF seeks to track the FactSet On-Demand Index, which measures companies providing on-demand platforms and services for lifestyle needs such as digital media, e-gaming, fitness, food delivery, ridesharing, and virtual reality. The fund launched in October 2021 and is managed by ProShares using a passive, rules-based replication approach.
OND holds roughly 28 to 35 positions, making it non-diversified and highly concentrated. Top holdings have historically included DASH (DoorDash), NVDA (NVIDIA), SPOT (Spotify), UBER (Uber Technologies), RBLX (Roblox), and NFLX (Netflix), alongside international names such as Capcom, NetEase, and Delivery Hero. By sector, communication services typically represent the largest weighting, followed by technology and consumer cyclical. Geographically, U.S. issuers account for roughly 45% of assets, with significant exposure to China and other emerging markets. From what I see in the data, the fund’s net expense ratio is 0.58%, and its assets under management are small relative to mainstream ETFs, which contributes to modest average trading volume and wider bid-ask spreads.
The Consumer Discretionary Select Sector SPDR Fund, launched in December 1998, seeks to track the Consumer Discretionary Select Sector Index, which represents the consumer discretionary segment of the S&P 500 as classified under the Global Industry Classification Standard (GICS). Managed by State Street Global Advisors, XLY uses a passive replication strategy, typically investing at least 95% of assets in index constituents.
XLY holds roughly 50 to 53 large-cap U.S. companies. Its portfolio is top-heavy, with AMZN (Amazon.com) and TSLA (Tesla) together accounting for more than 40% of assets. Other major holdings include HD (Home Depot), MCD (McDonald's), TJX (TJX Companies), BKNG (Booking Holdings), LOW (Lowe's), and SBUX (Starbucks). The portfolio is almost entirely consumer cyclical, spanning broadline retail, hotels and restaurants, specialty retail, and automobiles. With a net expense ratio of about 0.08% and substantial assets under management, XLY offers deep liquidity and one of the lowest cost structures in the consumer discretionary ETF space.
Both funds are sensitive to consumer spending, but through different lenses. XLY is tied to the health of the U.S. consumer, interest rate expectations, housing-related retail, and the fortunes of mega-cap names such as Amazon and Tesla. Its performance often tracks shifts in consumer confidence, discretionary income, and e-commerce momentum. OND is exposed to the broader on-demand and digital-content ecosystem, including gaming, streaming, food delivery, and ridesharing. This theme carries distinct risks: regulatory scrutiny in China, competition among delivery platforms, and the cyclicality of advertising and gaming revenue. Recent market cycles have shown heightened volatility in growth-oriented and international technology names, areas where OND is heavily concentrated.
In recent weeks and months, XLY has generally demonstrated more stable relative positioning than OND, reflecting its large-cap, U.S.-centric composition and lower costs. OND, by contrast, has exhibited elevated volatility, consistent with its concentrated growth portfolio and significant emerging-market exposure. Sector rotation between value and growth, shifting interest rate expectations, and earnings cycles among mega-cap retailers have been key drivers for XLY, while OND's path has been shaped more by gaming, streaming, and platform-economy sentiment. From a structural standpoint, XLY's 0.08% expense ratio provides a meaningful long-term cost advantage over OND's 0.58% fee. XLY also offers superior liquidity and a more established performance history. OND's global tilt offers diversification across geographies, but this comes with currency, regulatory, and concentration risks that XLY does not carry to the same degree. I’m watching this closely because the cost and liquidity gaps are meaningful over time.
Based on observable structural factors, Tickeron's AI would likely favor XLY over OND in the current environment. XLY offers a materially lower expense ratio, deeper liquidity, a longer track record, and a more established large-cap domestic profile. While OND provides differentiated thematic exposure to the on-demand economy, its small asset base, higher cost, concentrated holdings, and emerging-market sensitivity introduce additional risk. Trend consistency and sector momentum currently appear more constructive for the consumer discretionary space than for a narrow, growth-heavy international theme. Accordingly, XLY stands out as the structurally stronger choice between the two.
In my analysis of thematic versus sector ETFs, I often turn to Tickeron’s AI Screener to test filters around industry exposure, volatility, and AI signals. It helps surface comparable ideas quickly without manual screening. This tool has become a regular part of how I refine ETF comparisons and spot patterns that align with a given strategy.
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The Moving Average Convergence Divergence (MACD) for XLY turned positive on October 05, 2026. Looking at past instances where XLY'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 07, 2026. You may want to consider a long position or call options on XLY as a result. In 68 of 77 past instances where the momentum indicator moved above 0, the stock continued to climb. The odds of a continued upward trend are 88%.
XLY 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 XLY crossed bullishly above the 50-day moving average on October 22, 2026. This indicates that the trend has shifted higher and could be considered a buy signal. In 15 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 90%.
Following a +2.08% 3-day Advance, the price is estimated to grow further. Considering data from situations where XLY advanced for three days, in 276 of 332 cases, the price rose further within the following month. The odds of a continued upward trend are 83%.
The Aroon Indicator entered an Uptrend today. In 228 of 272 cases where XLY 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 XLY 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 84%.
XLY 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