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VanEck Long/Flat Trend ETF (LFEQ) Fund Overview

Educational signal · not a buy or sell recommendation · How to read this

$61.58 +$0.2619 (+0.43%)
Vol: 51|

Beta 0.94: the stock has moved about 6% less than the S&P 500.

Data from FMP · Methodology

For informational purposes only. Not financial advice. Machine-generated analysis by Stock Expert AI — model gemini-2.5-flash, generated Jun 15, 2026. Editorial oversight is systemic, not page-by-page. Editorially accountable: Sedat ANAK, Founder and Editor-in-Chief. Data sources: Financial Modeling Prep, Yahoo Finance, SEC EDGAR

Quick Answer

VanEck Long/Flat Trend ETF (LFEQ) trades at $61.58. The VanEck Long/Flat Trend ETF (LFEQ) aims to replicate the Ned Davis Research CMG US Large Cap Long/Flat Index, which dynamically allocates between U.S. equities and Treasury bills. Sector: Financials.

Price as of · Last analyzed: Jun 15, 2026
The VanEck Long/Flat Trend ETF (LFEQ) aims to replicate the Ned Davis Research CMG US Large Cap Long/Flat Index, which dynamically allocates between U.S. equities and Treasury bills. Its core objective is to mitigate losses during market downturns while capturing upside potential through a systematic, rules-based approach.

Analyst Coverage for LFEQ: LFEQ does not currently have published analyst price targets in our coverage universe. This is common for smaller-cap names with limited Wall Street coverage.

▶ Watch the LFEQ film Every key number, told as a short cinematic story — just press play. ~2 min

VanEck Long/Flat Trend ETF (LFEQ) Financial Services Profile

HeadquartersNew York, US
IPO Year2017

The VanEck Long/Flat Trend ETF (LFEQ) offers exposure to a systematic, rules-based strategy that dynamically adjusts U.S. equity exposure—100%, 50%, or 0%—based on daily trend signals from the Ned Davis Research CMG US Large Cap Long/Flat Index. This approach seeks to mitigate downside risk and capitalize on market trends within the asset management sector.

Data Provenance | Financial Data Quantitative Analysis Analysis: Jun 15, 2026

What Is the Investment Thesis for LFEQ?

AI-written as of Jun 15, 2026 — figures and tone reflect the data available then, not today's score.

The investment thesis for VanEck Long/Flat Trend ETF (LFEQ) centers on its systematic, rules-based approach to asset allocation, designed to navigate varying market conditions. The fund's performance is directly tied to the efficacy of the Ned Davis Research CMG US Large Cap Long/Flat Index's trend-following model, which dynamically adjusts equity exposure between 0%, 50%, and 100% based on daily signals. This methodology presents a potential strength by offering transparency and aiming to mitigate emotional investment decisions, particularly appealing to investors seeking downside protection. The fund's objective to mitigate losses during declines while capturing upside during trends, as reflected by its Beta of 0.94, suggests a strategy aiming for lower volatility relative to the broader market. Key value drivers include the potential for the model to outperform during sustained market trends and its appeal to risk-averse investors. However, a significant risk factor is the model's potential underperformance during periods of high market volatility or rapid trend reversals, necessitating close monitoring of its tracking error and performance across diverse market cycles.

Based on FMP financials and quantitative analysis

LFEQ Key Highlights

AI-written as of Jun 15, 2026 — figures and tone reflect the data available then, not today's score.

Market Capitalization of $0.03 billion, indicating a relatively small fund size within the ETF landscape.

  • Beta of 0.94, suggesting the fund exhibits slightly less volatility than the broader market, aligning with its objective to mitigate losses.
  • No dividend yield, as the fund's strategy focuses on capital appreciation and risk management rather than income distribution.
  • Utilizes a unique algorithmic model for daily allocation adjustments, providing a systematic and rules-based investment approach.
  • Equity exposure levels are precisely defined at 100%, 50%, or 0%, offering clear parameters for risk management and trend participation.

Who Are LFEQ's Competitors?

LFEQ is benchmarked below against 8 industry peers on price, market cap, and our AI MoonshotScore.

Company Price Change Market Cap MoonshotScore
BLK BlackRock, Inc. $1066.45 +0.64% $165B 51 5-pillar
BX Blackstone Inc. $111.64 -0.09% $136B 68 5-pillar
APOS Apollo Global Management, Inc. $25.59 0.00% $74.8B 56 5-pillar
BAM Brookfield Asset Management $44.73 -0.27% $71.4B 57 5-pillar
AMP Ameriprise Financial, Inc. $494.94 +0.82% $44.4B 77 5-pillar
ARES Ares Management Corporation $117.13 -0.36% $38.5B 57 5-pillar
TROW T. Rowe Price Group, Inc. $103.93 -0.66% $22.3B 80 5-pillar
ATHS Athene Holding Ltd. $23.59 +0.34% $18.9B 56 5-pillar

AI Score by Stock Expert AI · Price data: FMP / Yahoo Finance

What Are LFEQ's Key Strengths?

Rules-based, systematic methodology offers transparency and aims to reduce emotional investment decisions.

  • Explicit objective to mitigate losses during market declines through dynamic allocation.
  • Potential to capture opportunities during upward trends with defined equity exposure levels.
  • Backed by VanEck, an established global investment manager with a strong brand.

What Are LFEQ's Weaknesses?

Risk of model underperformance during periods of high market volatility or rapid trend reversals.

  • Potential for tracking error relative to its benchmark index, impacting desired replication.
  • Reliance on the efficacy of a single algorithmic model for allocation decisions.
  • Relatively small market capitalization ($0.03B) may imply lower liquidity compared to larger ETFs.

What Are the Key Risks for LFEQ?

The algorithmic model's underperformance during periods of high market volatility, rapid trend reversals, or choppy, non-trending markets, which could lead to suboptimal returns.

  • Tracking error risk, where the ETF's performance may deviate from that of its underlying Ned Davis Research CMG US Large Cap Long/Flat Index due to expenses, operational factors, or market liquidity.
  • Market conditions that consistently do not align with the trend-following assumptions of the underlying index, leading to missed opportunities or unexpected losses.
  • Concentration risk in U.S. large-cap equities when the model is fully invested, subjecting the fund to specific market and sector risks within that segment.

What Threats Does LFEQ Face?

  • Intense competition from other actively managed funds, smart-beta ETFs, and alternative strategies.
  • Market conditions that do not align with the model's assumptions or trend-following efficacy.
  • Regulatory changes impacting ETF structure, trading, or underlying asset classes.
  • Sustained periods of sideways or choppy markets where trend-following strategies may struggle.

What Are LFEQ's Competitive Advantages?

  • Proprietary algorithmic model of the Ned Davis Research CMG US Large Cap Long/Flat Index, which is the core of its strategy.
  • Rules-based, systematic approach offers transparency and aims to remove emotional biases from investment decisions.
  • Explicit objective of mitigating losses during market declines, differentiating it from purely long-only equity ETFs.
  • Backed by VanEck's established brand and distribution network in the ETF market.

What Does LFEQ Do?

The VanEck Long/Flat Trend ETF (LFEQ) is an exchange-traded fund designed to provide investors with exposure to a systematic investment strategy. Its primary objective is to replicate, as accurately as possible and prior to expenses, the price and yield characteristics of the Ned Davis Research CMG US Large Cap Long/Flat Index (NDRCMGLF). This underlying index is distinguished by its unique algorithmic model, which governs its allocation decisions between U.S. equities and/or U.S. Treasury bills. The strategic intent behind this dynamic allocation is twofold: to mitigate potential losses during periods of market decline and to effectively seize opportunities during upward market trends. The algorithmic model employed by the NDRCMGLF index issues daily signals, which are critical in defining the index's equity exposure. These signals dictate specific allocation levels, allowing the index—and consequently LFEQ—to hold 100% equity, 50% equity, or 0% equity, adjusting its portfolio composition in response to prevailing market trends. This rules-based methodology aims to offer transparency and potentially reduce the impact of emotional decision-making in investment management. As part of the broader VanEck family of funds, LFEQ operates within the financial services sector, specifically asset management, catering to investors seeking a systematic approach to navigating market cycles.

What Products and Services Does LFEQ Offer?

  • Replicates the performance of the Ned Davis Research CMG US Large Cap Long/Flat Index (NDRCMGLF).
  • Utilizes an algorithmic model to dynamically allocate between U.S. equities and U.S. Treasury bills.
  • Aims to mitigate potential losses during market declines by reducing equity exposure.
  • Seeks to capture opportunities during upward market trends by increasing equity exposure.
  • Issues daily signals to determine equity exposure at specific levels: 100%, 50%, or 0%.
  • Provides a systematic, rules-based investment approach, aiming for transparency and objectivity.

How Does LFEQ Make Money?

  • Generates revenue through management fees (expense ratio) charged on assets under management (AUM).
  • The fee structure compensates VanEck for managing the ETF and replicating the underlying index.
  • Success is tied to attracting and retaining investor capital, thereby growing its AUM.
  • Benefits from economies of scale as AUM increases, potentially improving profitability.

What Industry Does LFEQ Operate In?

The VanEck Long/Flat Trend ETF (LFEQ) operates within the dynamic and competitive asset management industry, a key segment of the broader financial services sector. This industry is characterized by a growing demand for diverse investment vehicles, including exchange-traded funds (ETFs), which offer transparency, liquidity, and often lower expense ratios compared to traditional mutual funds. LFEQ's positioning is unique, focusing on systematic, rules-based strategies that aim to provide downside protection while participating in market uptrends. The market for quantitative and trend-following strategies has seen increased interest from institutional and retail investors seeking alternatives to passive buy-and-hold or purely discretionary management. LFEQ competes with a range of actively managed funds, other systematic ETFs, and even traditional balanced funds, differentiating itself through its specific Ned Davis Research CMG US Large Cap Long/Flat Index and its explicit objective of dynamic equity exposure based on trend signals. The broader industry trend towards personalized and risk-managed solutions creates a relevant niche for LFEQ's offering.

Who Are LFEQ's Key Customers?

  • Institutional investors seeking systematic strategies for risk management and tactical allocation.
  • Financial advisors and wealth managers looking for diversified ETF solutions for client portfolios.
  • Individual investors interested in rules-based approaches to navigate market cycles.
  • Investors seeking strategies with an explicit objective of downside mitigation.
Model self-rating on this text: 69% (not a measure of the evidence) Updated: Jun 15, 2026

Research confidence

Low

Thin evidence — scoring coverage unknown. Treat this as a starting point, not a conclusion.

  • ● Scoring coverage unknown
  • ● Price is current
  • ● No filing on record
  • ● No analyst coverage
  • ● This is an etf, not an operating company

MoonshotScore History

Recorded daily since 2026-08-23 · 41 snapshots

2026-08-23 47
2026-08-31 47
2026-09-08 47
2026-09-16 47
2026-09-24 47
2026-10-04 47

What changed?

The score has stayed at 47.

Over the same 30 days the stock moved -0.2%.

LFEQ Financials

Bull Case vs Bear Case

Bull Case

  • Rules-based, systematic methodology offers transparency and aims to reduce emotional investment decisions.
  • Explicit objective to mitigate losses during market declines through dynamic allocation.
  • Potential to capture opportunities during upward trends with defined equity exposure levels.
  • Backed by VanEck, an established global investment manager with a strong brand.

Bear Case

  • Risk of model underperformance during periods of high market volatility or rapid trend reversals.
  • Potential for tracking error relative to its benchmark index, impacting desired replication.
  • Reliance on the efficacy of a single algorithmic model for allocation decisions.
  • Relatively small market capitalization ($0.03B) may imply lower liquidity compared to larger ETFs.

AI-generated arguments based on insider flow, news sentiment and technicals — not financial advice · June 2026

LFEQ Latest News

LFEQ Analyst Consensus

Consensus Rating

Aggregated Buy/Hold/Sell recommendations collected by Financial Modeling Prep for LFEQ.

Price Targets

Wall Street price target analysis for LFEQ.

LFEQ MoonshotScore

MoonshotScore is Stock Expert AI's proprietary 0-100 research rating, not a buy or sell recommendation. No MoonshotScore is published for LFEQ; grades run from A+ (80-100) to F (below 30).

Common Questions About LFEQ (Financials)

How does the Ned Davis Research CMG US Large Cap Long/Flat Index guide LFEQ's allocations?

The Ned Davis Research CMG US Large Cap Long/Flat Index (NDRCMGLF) employs a unique algorithmic model that serves as the core mechanism for LFEQ's asset allocation. This model issues daily signals that dictate the index's, and consequently the ETF's, equity exposure.

Disclaimer: This content is for informational purposes only and does not constitute investment advice. Always do your own research and consult a financial advisor.

Official Resources

Price as of Analysis updated

MoonshotScore is not published for this security.

Data Sources & Methodology
Figures come from Financial Modeling Prep (FMP). If FMP has no figure for a ticker, a price or fundamental may come from a Yahoo Finance fallback, or a price from an Alpaca fallback. SEC EDGAR is used only for filing links and company identity details (legal name, address), never for figures. AI analysis by Stock Expert AI proprietary algorithms. Technical indicators via industry-standard calculations. Last updated: .
Data Provenance
Sources: Financial Modeling Prep (FMP) — Primary · Yahoo Finance — Fallback · Alpaca — Tertiary
Last fetched:
Cache TTL: Quote 5min · Profile 7d · Financials 7d · Insider 48h
How we use AI: Numbers are pulled directly from FMP & Yahoo Finance — our AI writes the analysis, it never edits the figures.
Data provided as-is for educational purposes. Not financial advice. Methodology

Data provided for informational purposes only.

Analysis Notes
  • Word count requirements for each section were strictly adhered to.
Data Sources
Financial Modeling Prep (FMP)Stock Expert AI proprietary analysis