IVE, IWD, and VFLO represent distinct approaches to U.S. large-cap value investing, making them relevant for comparison in the current market environment. IVE and IWD follow traditional passive indexes emphasizing value characteristics within broad market segments, while VFLO applies a rules-based methodology centered on free cash flow generation. These ETFs compete within the value category but differ in construction, diversification, and cost structures, offering investors tiered options for balancing exposure to undervalued equities amid evolving macroeconomic conditions.
IVE seeks to track the S&P 500 Value Index, which measures the performance of large-capitalization U.S. equities exhibiting value characteristics. The ETF holds approximately 440 securities and maintains a passive management style with physical replication. Top holdings typically include major companies such as those in financials and health care, reflecting the index’s modified market-cap weighting. Sector allocations span financials, health care, industrials, and consumer staples with balanced representation. The expense ratio stands at 0.18%. Distinguishing features include its focus on the value subset of the S&P 500 and quarterly rebalancing aligned with index methodology.
IWD aims to replicate the Russell 1000 Value Index, capturing large- and mid-cap U.S. stocks with value attributes. It contains roughly 860 holdings under a passive structure with physical replication. Holdings emphasize large-cap names across financials, health care, and industrials. Sector exposure remains diversified without extreme concentrations. The expense ratio is 0.18%. Key characteristics encompass its broader universe compared to S&P 500-focused peers and adherence to the Russell index’s rules-based selection using metrics such as book value and earnings.
VFLO tracks the Victory U.S. Large Cap Free Cash Flow Index through a rules-based methodology selecting approximately 50 companies from the S-Network U.S. Equity Large/Mid-Cap 1000 Index based on free cash flow yield and growth filters. The ETF operates in a passive yet smart beta framework with physical replication. Holdings concentrate in high free cash flow generators, often tilting toward information technology, energy, and health care. Sector allocations reflect these thematic emphases. The expense ratio is 0.39%. Distinguishing elements include its narrower focus on cash flow metrics and potential for higher turnover relative to traditional value indexes.
The U.S. large-cap value segment operates amid shifting capital flows toward companies demonstrating resilient earnings and cash generation amid moderating inflation and evolving interest rate expectations. Regulatory developments in financial services and energy sectors, alongside earnings trends in health care and technology, influence holdings across these ETFs. Geopolitical factors affecting supply chains and commodity prices add volatility to energy and industrials exposure. Broader macroeconomic drivers, including corporate spending patterns and valuation resets, shape opportunities for value-oriented strategies without favoring any single approach.
In recent months, IVE and IWD have exhibited similar trend consistency due to their overlapping yet differentiated value indexes, with performance differences arising from holdings breadth and sector tilts. VFLO’s concentrated structure has shown distinct volatility patterns tied to free cash flow leaders, potentially amplifying sensitivity to sector-specific macro factors such as energy prices or technology spending. Relative drawdowns may vary based on concentration risk, with broader funds like IWD offering more stability across market cycles. Structural variations in methodology explain divergences, as index selection rules and rebalancing frequencies influence responsiveness to value rotations.
Tickeron’s AI Screener is an AI-powered stock and ETF discovery tool that helps traders and investors filter the market based on technical patterns, fundamentals, trends, volatility, and AI-driven signals. Users can scan thousands of stocks and ETFs using customizable filters such as industry, market capitalization, technical indicators, price patterns, and performance metrics. The screener helps identify trade ideas, trending stocks, breakout candidates, and market opportunities more efficiently than manual screening.
Based on observable structural strength, diversification profile, cost efficiency, momentum stability, and risk-adjusted positioning, Tickeron’s AI would likely assign a probabilistic edge to IVE or IWD for investors prioritizing broad exposure and lower costs, while noting VFLO’s potential appeal in targeted free cash flow scenarios depending on prevailing market conditions.
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| IVE | IWD | VFLO | |
| Gain YTD | 10.214 | 20.938 | 35.471 |
| Net Assets | 49.1B | 81.9B | 11.1B |
| Total Expense Ratio | 0.18 | 0.18 | 0.39 |
| Turnover | 28.00 | 14.00 | 149.00 |
| Yield | 1.50 | 1.36 | 1.01 |
| Fund Existence | 26 years | 26 years | 3 years |
| IVE | IWD | VFLO | |
|---|---|---|---|
| RSI ODDS (%) | 4 days ago 68% | 4 days ago 67% | 3 days ago 72% |
| Stochastic ODDS (%) | 3 days ago 82% | 3 days ago 84% | 3 days ago 90% |
| Momentum ODDS (%) | 3 days ago 68% | 3 days ago 68% | 3 days ago 76% |
| MACD ODDS (%) | 3 days ago 73% | 3 days ago 62% | 3 days ago 63% |
| TrendWeek ODDS (%) | 3 days ago 68% | 3 days ago 73% | 3 days ago 74% |
| TrendMonth ODDS (%) | 3 days ago 73% | 3 days ago 75% | 3 days ago 68% |
| Advances ODDS (%) | 18 days ago 85% | 18 days ago 86% | 7 days ago 88% |
| Declines ODDS (%) | 5 days ago 69% | 5 days ago 74% | 5 days ago 69% |
| BollingerBands ODDS (%) | 3 days ago 83% | 3 days ago 90% | 3 days ago 90% |
| Aroon ODDS (%) | 3 days ago 77% | 3 days ago 75% | 3 days ago 83% |
| 1 Day | |||
|---|---|---|---|
| ETFs / NAME | Price $ | Chg $ | Chg % |
| BLCR | 48.95 | 0.12 | +0.25% |
| iShares Large Cap Core Active ETF (BLCR) | |||
| IVRA | 15.98 | N/A | N/A |
| Invesco Real Assets ESG ETF | |||
| TBLU | 49.27 | -0.24 | -0.48% |
| Tortoise Global Water ETF (TBLU) | |||
| HQL | 19.41 | -0.16 | -0.82% |
| abrdn Life Sciences Investors | |||
| AAPU | 45.27 | -0.41 | -0.90% |
| Direxion Daily AAPL Bull 2X ETF (AAPU) | |||
A.I.dvisor indicates that over the last year, IVE has been loosely correlated with SWK. These tickers have moved in lockstep 64% of the time. This A.I.-generated data suggests there is some statistical probability that if IVE jumps, then SWK could also see price increases.
A.I.dvisor indicates that over the last year, IWD has been closely correlated with BAC. These tickers have moved in lockstep 77% of the time. This A.I.-generated data suggests there is a high statistical probability that if IWD jumps, then BAC could also see price increases.
A.I.dvisor indicates that over the last year, VFLO has been loosely correlated with ABNB. These tickers have moved in lockstep 57% of the time. This A.I.-generated data suggests there is some statistical probability that if VFLO jumps, then ABNB could also see price increases.
| Ticker / NAME | Correlation To VFLO | 1D Price Change % | ||
|---|---|---|---|---|
| VFLO | 100% | -1.08% | ||
| ABNB - VFLO | 57% Loosely correlated | +0.17% | ||
| ALGN - VFLO | 52% Loosely correlated | -1.40% | ||
| DOCU - VFLO | 52% Loosely correlated | -2.22% | ||
| PAYX - VFLO | 50% Loosely correlated | -0.32% | ||
| DOX - VFLO | 49% Loosely correlated | -2.00% | ||
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