Small-capitalization equities have attracted renewed attention amid shifting market dynamics, prompting comparisons among leading passive vehicles. FSSNX, SCHA, and VB each deliver broad exposure to U.S. small-cap companies through low-cost indexing strategies. Portfolio managers, individual investors, and traders evaluating small-cap allocations often examine these options for differences in tracking methodology, liquidity, and operational structure. The comparison highlights trade-offs relevant to diversified equity portfolios seeking growth potential alongside higher volatility typical of smaller firms.
FSSNX is the Fidelity Small Cap Index Fund, a mutual fund designed to replicate the Russell 2000 Index of small-capitalization U.S. companies. The vehicle maintains an expense ratio of 0.025% and manages assets exceeding $34 billion. In recent weeks, FSSNX has recorded year-to-date gains near 20-22%, supported by strength in healthcare and technology holdings within the Russell 2000. Market sentiment has reflected broader small-cap recovery patterns, with performance influenced by economic data releases and sector rotations. The fund's mutual-fund format provides end-of-day pricing and automatic dividend reinvestment features.
SCHA is the Schwab U.S. Small-Cap ETF, which tracks the Dow Jones U.S. Small-Cap Total Stock Market Index. It carries an expense ratio of 0.03% and oversees roughly $23 billion in assets. Recent market activity has produced year-to-date returns of approximately 20.7%, with notable contributions from technology and healthcare positions. The ETF structure enables intraday trading and tight bid-ask spreads. Performance in recent weeks has aligned closely with small-cap benchmarks amid fluctuating investor risk appetite and macroeconomic indicators.
VB is the Vanguard Small-Cap ETF, benchmarked to the CRSP U.S. Small Cap Index. The fund maintains a 0.03% expense ratio and holds the largest asset base among the three at nearly $80 billion. Year-to-date performance through late August 2026 stands near 17.4%, reflecting diversified exposure across small-cap sectors. Recent weeks have shown steady but slightly more modest gains compared with peers, influenced by the index's specific constituent weighting. The ETF format supports high liquidity and efficient trading for larger positions.
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The three vehicles differ primarily in index methodology and vehicle type. FSSNX follows the Russell 2000, while SCHA uses the Dow Jones U.S. Small-Cap Total Stock Market Index and VB tracks the CRSP U.S. Small Cap Index, resulting in modest variations in sector exposure and constituent selection. All maintain ultra-low costs near 0.03%, minimizing fee drag over long horizons. VB offers superior liquidity due to its larger asset base, whereas FSSNX suits investors preferring mutual-fund convenience. Recent momentum has favored vehicles with heavier technology weighting, creating small performance differentials. Risk factors remain comparable, with elevated sensitivity to interest-rate shifts and economic growth signals common across small-cap strategies.
Based on observable trend consistency and relative positioning in recent market activity, Tickeron’s AI would currently assign a modestly higher probability of favorable near-term behavior to SCHA. Its index construction and sector balance have aligned slightly more closely with prevailing small-cap leadership patterns, though all three remain highly correlated. Investors should monitor ongoing economic indicators for continued alignment.
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| SCHA | VB | |
|---|---|---|
| RSI ODDS (%) | N/A | N/A |
| Stochastic ODDS (%) | 4 days ago 90% | 4 days ago 90% |
| Momentum ODDS (%) | 4 days ago 79% | 4 days ago 84% |
| MACD ODDS (%) | 4 days ago 86% | 4 days ago 80% |
| TrendWeek ODDS (%) | 4 days ago 86% | 4 days ago 80% |
| TrendMonth ODDS (%) | 4 days ago 82% | 4 days ago 82% |
| Advances ODDS (%) | 4 days ago 86% | 4 days ago 86% |
| Declines ODDS (%) | 7 days ago 82% | 7 days ago 78% |
| BollingerBands ODDS (%) | 5 days ago 84% | 4 days ago 90% |
| Aroon ODDS (%) | 4 days ago 80% | 6 days ago 81% |
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% | +0.99% | ||
| THC - SCHA | 55% Loosely correlated | +0.59% | ||
| FIX - SCHA | 46% Loosely correlated | +1.91% | ||
| CNM - SCHA | 45% Loosely correlated | +0.77% | ||
| NTRA - SCHA | 40% Loosely correlated | +0.16% | ||
| TXRH - SCHA | 33% Poorly correlated | +0.26% | ||
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A.I.dvisor indicates that over the last year, VB has been loosely correlated with BLDR. These tickers have moved in lockstep 61% of the time. This A.I.-generated data suggests there is some statistical probability that if VB jumps, then BLDR could also see price increases.