Comparing IWM and SCHA holds relevance amid ongoing sector rotation toward small-cap stocks, fueled by anticipated rate cuts and domestic economic resilience. These ETFs compete directly as cost-effective, passive options for U.S. small-cap exposure, targeting investors seeking growth from companies outside large-cap dominance. While both emphasize blend strategies, differences in underlying indexes, costs, and breadth offer nuanced choices for portfolio diversification, particularly as small caps demonstrate relative strength in recent market cycles.
The iShares Russell 2000 ETF (IWM) tracks the Russell 2000 Index, comprising approximately the 2,000 smallest U.S. stocks by market cap from the Russell 3000. This passive, market-cap-weighted fund holds about 1,930 securities, providing broad small-cap exposure. Top holdings include Bloom Energy Corp. (BE) at 1.19%, Fabrinet (FN) at 0.62%, and NextPower Inc. (NXT) at 0.61%, with the top 10 comprising roughly 5-6% of assets.
Sector allocations feature industrials (18.5%), healthcare (17.4%), financials (16.6%), and information technology (14.4%). The expense ratio stands at 0.19%, with high liquidity evidenced by over 47 million average daily shares traded and a tight 0.00% median bid/ask spread. Launched in 2000, IWM rebalances annually per the index methodology, distinguishing itself through its focus on the purest small-cap segment.
The Schwab U.S. Small-Cap ETF (SCHA) seeks to replicate the Dow Jones U.S. Small-Cap Total Stock Market Index, targeting stocks ranked 751-2,500 by float-adjusted market cap from the broader U.S. total market. This passive ETF maintains around 1,720 holdings for extensive diversification. Recent top holdings feature names like Sandisk Corp. (SNDK) and Lumentum Holdings Inc. (LITE), each under 2%, underscoring balanced weighting.
Sector breakdowns mirror small-cap norms, with heavy emphasis on industrials (~18%), financials, healthcare, and technology. Its ultralow expense ratio of 0.04% positions it as a cost leader, complemented by a 14.5% portfolio turnover rate. Trading on NYSE Arca with solid liquidity (millions in daily volume and 0.03% bid/ask spread), SCHA, launched in 2009, appeals to long-term holders via tax efficiency and the index's float-adjusted methodology.
U.S. small-cap equities face a favorable environment driven by macroeconomic tailwinds, including potential interest rate reductions that disproportionately benefit rate-sensitive smaller firms. Sector rotation from mega-cap technology toward cyclicals like industrials and financials supports both indexes, amid manufacturing resurgence and domestic policy focus. Capital flows into small caps reflect valuation discounts versus large caps, with earnings recovery in overlooked holdings. Risks include heightened volatility from geopolitical tensions and economic slowdowns, though broader diversification mitigates company-specific exposures in this asset class.
In recent weeks and months, small-cap ETFs including IWM and SCHA have participated in rotation rallies, posting mid-teens trailing 12-month returns amid rate expectations and cyclical earnings beats. IWM's concentration in tiniest caps amplifies beta to market shifts, showing higher volatility (3-year standard deviation around 20%) tied to industrials and healthcare momentum. SCHA tracks closely but smoother, benefiting from lower costs and broader scope across slightly larger small caps. Relative positioning favors pure small-cap upside in IWM during rotations, while SCHA edges in compounded efficiency over cycles.
Tickeron’s Trending AI Robots page showcases the platform's top-performing AI-driven trading bots under prevailing market conditions. Amid hundreds of bots analyzing thousands of tickers across diverse timeframes and strategies—from momentum and mean reversion to pattern recognition—the curated section highlights those with robust recent track records, often featuring win rates above 60% and Sharpe ratios exceeding 1.5. These bots adapt to volatility in sectors like small caps, providing signals on instruments such as IWM and SCHA. Explore the page to identify bots aligning with your risk tolerance and discover automated edges in dynamic environments.
Tickeron’s AI currently favors SCHA with moderate conviction, driven by its unmatched cost efficiency (0.04% expense ratio), broader diversification, and resilient positioning in small-cap momentum. While IWM leads in liquidity and index purity, SCHA’s structural advantages suggest a 5-10% relative edge over extended cycles, barring extreme micro-cap surges.
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| IWM | SCHA | IWM / SCHA | |
| Gain YTD | 12.232 | 13.351 | 92% |
| Net Assets | 77.5B | 22B | 352% |
| Total Expense Ratio | 0.19 | 0.04 | 475% |
| Turnover | 18.00 | 11.00 | 164% |
| Yield | 1.02 | 1.17 | 87% |
| Fund Existence | 26 years | 16 years | - |
| IWM | SCHA | |
|---|---|---|
| RSI ODDS (%) | 3 days ago 78% | 3 days ago 90% |
| Stochastic ODDS (%) | 3 days ago 83% | 3 days ago 88% |
| Momentum ODDS (%) | 3 days ago 87% | 3 days ago 89% |
| MACD ODDS (%) | 3 days ago 90% | 3 days ago 90% |
| TrendWeek ODDS (%) | 3 days ago 84% | 3 days ago 84% |
| TrendMonth ODDS (%) | 3 days ago 84% | 3 days ago 82% |
| Advances ODDS (%) | 3 days ago 85% | 3 days ago 84% |
| Declines ODDS (%) | 21 days ago 82% | 21 days ago 82% |
| BollingerBands ODDS (%) | 3 days ago 77% | 3 days ago 77% |
| Aroon ODDS (%) | 3 days ago 88% | 3 days ago 88% |
| 1 Day | |||
|---|---|---|---|
| ETFs / NAME | Price $ | Chg $ | Chg % |
| HPS | 14.64 | 0.23 | +1.60% |
| John Hancock Preferred Income Fund III | |||
| CNEQ | 36.42 | 0.50 | +1.39% |
| Alger Concentrated Equity ETF | |||
| PBJ | 49.66 | 0.58 | +1.19% |
| Invesco Food & Beverage ETF | |||
| IWX | 98.13 | 0.86 | +0.88% |
| iShares Russell Top 200 Value ETF | |||
| TLTX | 23.63 | 0.05 | +0.22% |
| Global X Treasury Bond Enhanced Inc ETF | |||
A.I.dvisor indicates that over the last year, SCHA has been loosely correlated with THC. These tickers have moved in lockstep 55% of the time. This A.I.-generated data suggests there is some statistical probability that if SCHA jumps, then THC could also see price increases.
| Ticker / NAME | Correlation To SCHA | 1D Price Change % | ||
|---|---|---|---|---|
| SCHA | 100% | +2.06% | ||
| THC - SCHA | 55% Loosely correlated | +2.42% | ||
| FIX - SCHA | 46% Loosely correlated | +2.77% | ||
| CNM - SCHA | 45% Loosely correlated | -2.27% | ||
| NTRA - SCHA | 40% Loosely correlated | +6.27% | ||
| TXRH - SCHA | 33% Poorly correlated | +3.21% | ||
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