Ultimus Managers Trust Etf Market Value

MDST Etf   28.09  0.14  0.50%   
Ultimus Managers' market value is the price at which a share of Ultimus Managers trades on a public exchange. It measures the collective expectations of Ultimus Managers Trust investors about its performance. Ultimus Managers is selling for under 28.09 as of the 12th of February 2026; that is 0.50 percent up since the beginning of the trading day. The etf's last reported lowest price was 27.97.
With this module, you can estimate the performance of a buy and hold strategy of Ultimus Managers Trust and determine expected loss or profit from investing in Ultimus Managers over a given investment horizon. Check out Ultimus Managers Correlation, Ultimus Managers Volatility and Ultimus Managers Performance module to complement your research on Ultimus Managers.
Symbol

Investors evaluate Ultimus Managers Trust using market value (trading price) and book value (balance sheet equity), each telling a different story. Calculating Ultimus Managers' intrinsic value - the estimated true worth - helps identify when the stock trades at a discount or premium to fair value. Analysts utilize numerous techniques to assess fundamental value, seeking to purchase shares when trading prices fall beneath estimated intrinsic worth. External factors like market trends, sector rotation, and investor psychology can cause Ultimus Managers' market price to deviate significantly from intrinsic value.
Understanding that Ultimus Managers' value differs from its trading price is crucial, as each reflects different aspects of the company. Evaluating whether Ultimus Managers represents a sound investment requires analyzing earnings trends, revenue growth, technical signals, industry dynamics, and expert forecasts. Conversely, Ultimus Managers' market price signifies the transaction level at which participants voluntarily complete trades.

Ultimus Managers 'What if' Analysis

In the world of financial modeling, what-if analysis is part of sensitivity analysis performed to test how changes in assumptions impact individual outputs in a model. When applied to Ultimus Managers' etf what-if analysis refers to the analyzing how the change in your past investing horizon will affect the profitability against the current market value of Ultimus Managers.
0.00
11/14/2025
No Change 0.00  0.0 
In 2 months and 31 days
02/12/2026
0.00
If you would invest  0.00  in Ultimus Managers on November 14, 2025 and sell it all today you would earn a total of 0.00 from holding Ultimus Managers Trust or generate 0.0% return on investment in Ultimus Managers over 90 days. Ultimus Managers is related to or competes with LeaderSharesTM AlphaFactor, Goldman Sachs, Invesco MSCI, Main International, Principal Value, ProShares Ultra, and Innovator MSCI. Mindesta Inc. develops fast dissolving drug delivery systems for the pharmaceutical industry in Canada. More

Ultimus Managers Upside/Downside Indicators

Understanding different market momentum indicators often help investors to time their next move. Potential upside and downside technical ratios enable traders to measure Ultimus Managers' etf current market value against overall market sentiment and can be a good tool during both bulling and bearish trends. Here we outline some of the essential indicators to assess Ultimus Managers Trust upside and downside potential and time the market with a certain degree of confidence.

Ultimus Managers Market Risk Indicators

Today, many novice investors tend to focus exclusively on investment returns with little concern for Ultimus Managers' investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as Ultimus Managers' standard deviation. In reality, there are many statistical measures that can use Ultimus Managers historical prices to predict the future Ultimus Managers' volatility.
Sophisticated investors, who have witnessed many market ups and downs, anticipate that the market will even out over time. This tendency of Ultimus Managers' price to converge to an average value over time is called mean reversion. However, historically, high market prices usually discourage investors that believe in mean reversion to invest, while low prices are viewed as an opportunity to buy.
Hype
Prediction
LowEstimatedHigh
27.3528.0828.81
Details
Intrinsic
Valuation
LowRealHigh
25.2830.2030.93
Details

Ultimus Managers February 12, 2026 Technical Indicators

Ultimus Managers Trust Backtested Returns

Currently, Ultimus Managers Trust is very steady. Ultimus Managers Trust owns Efficiency Ratio (i.e., Sharpe Ratio) of 0.21, which indicates the etf had a 0.21 % return per unit of risk over the last 3 months. We have found twenty-eight technical indicators for Ultimus Managers Trust, which you can use to evaluate the volatility of the etf. Please validate Ultimus Managers' Risk Adjusted Performance of 0.2062, semi deviation of 0.4222, and Coefficient Of Variation of 382.67 to confirm if the risk estimate we provide is consistent with the expected return of 0.15%. The entity has a beta of 0.0365, which indicates not very significant fluctuations relative to the market. As returns on the market increase, Ultimus Managers' returns are expected to increase less than the market. However, during the bear market, the loss of holding Ultimus Managers is expected to be smaller as well.

Auto-correlation

    
  0.18  

Very weak predictability

Ultimus Managers Trust has very weak predictability. Overlapping area represents the amount of predictability between Ultimus Managers time series from 14th of November 2025 to 29th of December 2025 and 29th of December 2025 to 12th of February 2026. The more autocorrelation exist between current time interval and its lagged values, the more accurately you can make projection about the future pattern of Ultimus Managers Trust price movement. The serial correlation of 0.18 indicates that over 18.0% of current Ultimus Managers price fluctuation can be explain by its past prices.
Correlation Coefficient0.18
Spearman Rank Test0.21
Residual Average0.0
Price Variance0.56

Thematic Opportunities

Explore Investment Opportunities

Build portfolios using Macroaxis predefined set of investing ideas. Many of Macroaxis investing ideas can easily outperform a given market. Ideas can also be optimized per your risk profile before portfolio origination is invoked. Macroaxis thematic optimization helps investors identify companies most likely to benefit from changes or shifts in various micro-economic or local macro-level trends. Originating optimal thematic portfolios involves aligning investors' personal views, ideas, and beliefs with their actual investments.
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When determining whether Ultimus Managers Trust is a strong investment it is important to analyze Ultimus Managers' competitive position within its industry, examining market share, product or service uniqueness, and competitive advantages. Beyond financials and market position, potential investors should also consider broader economic conditions, industry trends, and any regulatory or geopolitical factors that may impact Ultimus Managers' future performance. For an informed investment choice regarding Ultimus Etf, refer to the following important reports:
Check out Ultimus Managers Correlation, Ultimus Managers Volatility and Ultimus Managers Performance module to complement your research on Ultimus Managers.
You can also try the Bollinger Bands module to use Bollinger Bands indicator to analyze target price for a given investing horizon.
Ultimus Managers technical etf analysis exercises models and trading practices based on price and volume transformations, such as the moving averages, relative strength index, regressions, price and return correlations, business cycles, etf market cycles, or different charting patterns.
A focus of Ultimus Managers technical analysis is to determine if market prices reflect all relevant information impacting that market. A technical analyst looks at the history of Ultimus Managers trading pattern rather than external drivers such as economic, fundamental, or social events. It is believed that price action tends to repeat itself due to investors' collective, patterned behavior. Hence technical analysis focuses on identifiable price trends and conditions. More Info...