Listed Funds Trust ETF Market Outlook
| SPCZ ETF | USD 25.78 0.01 0.04% |
When the sentiment score diverges from the price trend, it can highlight a disconnect between public perception and market action that merits a closer look. About 56% of recent sentiment around Listed Funds has been mildly defensive over the recent sample. Taken on its own, that leaves the current sentiment reading for Listed Funds Trust close to neutral right now.
Investor Comfort Level
PanicConfidence
44 · Impartial
Elasticity to Hype and News Sentiment
Listed Funds Trust news sentiment reading of 50% (mixed) tracks how media and analyst commentary are framing the investment case. Comparing perception data with actual financial results can separate headline-driven pressure from genuine fundamental change.
Given a 90-day horizon, with an above-average risk tolerance, the model output for Listed Funds Trust is 'Strong Sell'. The Listed Funds buy-or-sell recommendation is derived from the selected investment horizon and risk tolerance parameters for Listed Funds.
Listed Funds |
Run Listed Funds Outlook Model
Our model-driven Listed Funds signal adds context to the existing analyst consensus on Listed Funds Trust. Macroaxis maintains full independence and has no ownership position in Listed Funds Trust. Listed Funds' outlook incorporates both technical signals and fundamental data points. Model-driven signals are most useful when they confirm or challenge existing views.
How This Model Works
The recommendation output for Listed Funds is a model-based view that converts the selected horizon and risk profile into a standardized reading of the current evidence.
- Inputs - valuation signals, price behavior, volatility, liquidity, sentiment, and analyst coverage when available
- Current setup - Three Months with a risk setting described as I am an educated risk taker
- Limits - the model does not account for taxes, outside holdings, concentration constraints, or investor-specific mandates
Use the output as structured decision support and pair it with your own research, portfolio context, and any professional advice you rely on.
Time Horizon
Risk Tolerance
Strong Sell
Listed Funds' current outlook reflects a cautious setup, where weak recent performance and soft fundamental readings cloud near-term visibility, while risk metrics have not deteriorated further. The model's 'Strong Sell' signal reflects persistent headwinds that outweigh the offsetting factors in the model. The quantitative inputs driving this signal for Listed Funds include Mean Deviation of 0.2604, Semi Deviation of 0.6553, and Standard Deviation of 0.648, which weigh on the current risk-reward outlook.The Listed Funds quantitative signal draws on volatility, valuation, and earnings quality to produce a risk-aware signal that can be read alongside the analyst and expert consensus. For this ETF, evaluate the full set of Listed Funds reported fundamentals, including total asset ttm.
Recent Events and Market Context
The events below reflect recent headlines associated with Listed Funds. Not all items directly affect the outlook — they are included to show the broader information environment that can shape sentiment and trading behavior.
Returns Distribution Density
The return distribution for Listed Funds shows how Listed Funds' daily price changes have varied. Returns near the center happen most often, while the edges show rare but large moves. Value At Risk pins down the downside, while Upside Potential pins down the upside. Combined with Value At Risk and Upside Potential, the expected performance range for Listed Funds' is framed.
| Mean Return | 0.01 | Value At Risk | -0.35 | Potential Upside | 0.31 | Standard Deviation | 0.65 |
Return Density |
| Distribution |
The return distribution chart for Listed Funds shows how often extreme price changes have occurred. The distribution of past returns provides that answer directly. It supports better-informed choices among risk-return profiles. Risk analysis for Listed Funds begins with the return distribution chart.
Key Drivers of Volatility and Market Exposure
Holders of Listed Funds face systematic risk from broad ETF market trends and unsystematic risk from company or sector-specific developments. Diversification reduces specific exposure, but macro-driven volatility persists. Beta remains a common sensitivity metric. Latest disclosures for Listed Funds Trust show a Downside Deviation of 0.76, a Mean Deviation of 0.26, and a Semi Deviation of 0.66.
α | Alpha over Dow Jones | -0.001 | |
β | Beta against Dow Jones | -0.1404 | |
σ | Overall volatility | 0.65 | |
Ir | Information ratio | -0.0189 |
Fundamentals Vs Peers
Listed Funds's fundamentals are most informative when placed alongside ETFs of comparable size and structure. This peer-level view determines whether Listed Funds's current valuation multiple is justified by its relative operating performance. Fundamental peer comparison for Listed Funds contextualizes operating performance within the competitive landscape. Mispricing opportunities for Listed Funds become visible when key ratios diverge significantly from peer averages.
| Better Than Average | Worse Than Average | Compare Listed Funds to competition |
| Fundamentals | Listed Funds | Peer Average |
| Trailing Beta | 0.02 | N/A |
| One Year Return | 7.70 % | -0.97 % |
| Three Year Return | 6.00 % | 3.23 % |
| Net Asset | 3.75 M | 2.29 billion |
| Equity Positions Weight | 97.13 % | 52.82 % |
Market Momentum
Listed Funds Trust momentum reading - RSI 52 (neutral), beta -0.1404 (negative-beta) - helps distinguish trend continuation from fading conviction. Timing discipline improves when these strength signals are cross-checked with Listed Funds Trust earnings momentum and volume confirmation.
Recommendation Framework, Assumptions & Editorial Oversight
The model output for Listed Funds reflects the current horizon and risk settings, refreshes as underlying data changes, and is intended to organize evidence rather than replace investor judgment. 
Listed Funds Trust metrics are compiled from fund disclosures and market reference feeds and normalized before display. The model combines valuation, price behavior, volatility, and sentiment into a standardized quantitative view.
Editorial Review & Methodology Oversight
Role: Member of Macroaxis Editorial Board
Finance background: Gabriel is a young entrepreneur and writes predominantly on the business, technology, and finance sector. He likes to analyze different equity instruments across a wide range of industries focusing primarily on consumer products and evolving technologies.
Oversight scope: Reviews recommendation-framework framing, source assumptions, and disclosure language.