Investors evaluating consumer discretionary exposure frequently come across two distinct options: the IYC (iShares U.S. Consumer Discretionary ETF), which provides broad sector coverage, and ONLN (ProShares Online Retail ETF), a more targeted e-commerce vehicle. These are not direct competitors but rather different ways to access consumer spending trends. IYC spans autos, restaurants, retail, media, and travel, whereas ONLN narrows in on companies that primarily sell through digital channels. This distinction matters now, given how shifts in discretionary spending, interest rates, and e-commerce penetration are influencing positioning in both strategies. I also checked this using Tickeron’s AI Screener to see how the funds stack up on key metrics.
The IYC fund passively tracks the Russell 1000 Consumer Discretionary 40 Act 15/22.5 Daily Capped Index, which captures the consumer discretionary sector of the U.S. equity market. It employs representative sampling and holds roughly 170 securities across large- and mid-cap names. Top positions include AMZN, TSLA, WMT, COST, HD, NFLX, MCD, DIS, TJX, and UBER. Consumer cyclicals make up about two-thirds of assets, with additional exposure to communication services and consumer staples. The index caps individual issuers near 15% and limits larger names overall, which helps moderate concentration. Its net expense ratio stands at approximately 0.37%.
The ONLN fund is non-diversified and passively tracks the ProShares Online Retail Index, a global measure of U.S.-listed online retailers. Launched in 2018, it holds about 21–24 stocks and uses modified market-capitalization weighting. The portfolio shows heavy concentration in AMZN at around 24%, followed by BABA, EBAY, CVNA, PDD, MELI, CPNG, W, and ETSY. Nearly all assets fall in consumer cyclicals, with a minor technology component. Unlike IYC, ONLN includes notable non-U.S. exposure, particularly in emerging Asia and Latin America, along with a larger share in mid- and small-cap names. Its expense ratio is 0.58%, and its smaller size and lower trading volume result in reduced liquidity.
Both funds depend on the strength of consumer spending. Discretionary outlays remain sensitive to interest rate outlooks, wage trends, and household finances, while e-commerce continues to capture more retail sales. ONLN focuses purely on digital commerce, leaving it exposed to competition from large players, logistics expenses, and China-related regulatory or tariff issues through holdings such as BABA and PDD. IYC, in contrast, mixes cyclical retailers with autos, media, restaurants, and travel, spreading exposure across several spending categories. Recent cycles have shown mixed consumer confidence and higher financing costs weighing on discretionary equities, while single-name swings in e-commerce stocks have heightened volatility for narrower thematic products like ONLN. From what I see, these dynamics highlight the trade-offs between breadth and focus.
Recent weeks and the trailing year have revealed clear behavioral differences. IYC’s wider sector reach and capping rules have helped dampen company-specific shocks, leading to steadier relative results. ONLN’s concentration in a small group of e-commerce names, led by its larger AMZN allocation, has produced greater volatility, with sharper declines in risk-off periods and heightened sensitivity to earnings and emerging-market sentiment. Structural factors play a role here as well. IYC’s superior liquidity and diversification typically mean lower tracking error and tighter spreads. ONLN’s thinner volume and concentrated holdings can amplify both gains and losses. Investors seeking diversified consumer exposure often lean toward IYC, while ONLN attracts those comfortable with higher-beta digital-commerce exposure and its associated concentration and emerging-market tilt. I’m watching this closely as market conditions evolve.
Tickeron’s AI Screener has proven useful in my process for quickly comparing ETF characteristics such as holdings overlap, volatility profiles, and sector weights. It allows filtering across technical patterns, fundamentals, and performance metrics, which helped surface the key distinctions between these two funds without manual effort. This kind of tool supports more efficient idea generation when evaluating consumer and retail themes.
Considering structural attributes, cost efficiency, diversification, liquidity, and risk factors, Tickeron’s AI currently favors IYC over ONLN. IYC’s lower expense ratio, larger and more liquid asset base, capping methodology, and coverage across multiple consumer sub-industries deliver a more balanced risk-return profile. ONLN’s non-diversified setup, heavier single-stock weighting, higher fees, and emerging-market sensitivity add volatility that is not always offset by returns. While ONLN could lead during strong e-commerce rallies, the probabilistic view supports the broader, more resilient construction of IYC for most investors seeking consumer discretionary exposure.
In my own research, Tickeron’s AI Screener stands out as a practical way to scan and compare ETFs like these on multiple dimensions, from industry exposure to AI-driven signals. It has helped me identify relative strengths efficiently and refine positioning decisions based on data rather than guesswork. The tool integrates well into a broader workflow for investors focused on consumer themes.
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IYC saw its Momentum Indicator move above the 0 level on October 07, 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 88 similar instances where the indicator turned positive. In 81 of the 88 cases, the stock moved higher in the following days. The odds of a move higher are at 90%.
The Moving Average Convergence Divergence (MACD) for IYC just turned positive on October 06, 2026. Looking at past instances where IYC's MACD turned positive, the stock continued to rise in 38 of 43 cases over the following month. The odds of a continued upward trend are 88%.
IYC moved above its 50-day moving average on October 19, 2026 date and that indicates a change from a downward trend to an upward trend.
The 10-day moving average for IYC 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 12 of 15 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 80%.
Following a +0.54% 3-day Advance, the price is estimated to grow further. Considering data from situations where IYC advanced for three days, in 255 of 310 cases, the price rose further within the following month. The odds of a continued upward trend are 82%.
The Aroon Indicator entered an Uptrend today. In 234 of 293 cases where IYC Aroon's Indicator entered an Uptrend, the price rose further within the following month. The odds of a continued Uptrend are 80%.
The 10-day RSI Indicator for IYC moved out of overbought territory on November 03, 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 31 similar instances where the indicator moved out of overbought territory. In 23 of the 31 cases, the stock moved lower in the following days. This puts the odds of a move lower at 74%.
The Stochastic Oscillator has been in the overbought zone for 1 day. Expect a price pull-back in the near future.
Following a 3-day decline, the stock is projected to fall further. Considering past instances where IYC 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 80%.
IYC 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