Ultimus Managers Etf Forecast - Simple Moving Average
| MDST Etf | 26.55 0.22 0.84% |
The Simple Moving Average forecasted value of Ultimus Managers Trust on the next trading day is expected to be 26.55 with a mean absolute deviation of 0.17 and the sum of the absolute errors of 10.19. Ultimus Etf Forecast is based on your current time horizon.
The relative strength momentum indicator of Ultimus Managers' etf price is slightly above 62. This indicates that the etf is rather overbought by investors at this time. The main point of the Relative Strength Index (RSI) is to track how fast people are buying or selling Ultimus, making its price go up or down. Momentum 62
Buy Extended
Oversold | Overbought |
Using Ultimus Managers hype-based prediction, you can estimate the value of Ultimus Managers Trust from the perspective of Ultimus Managers response to recently generated media hype and the effects of current headlines on its competitors.
The Simple Moving Average forecasted value of Ultimus Managers Trust on the next trading day is expected to be 26.55 with a mean absolute deviation of 0.17 and the sum of the absolute errors of 10.19. Ultimus Managers after-hype prediction price | USD 26.55 |
There is no one specific way to measure market sentiment using hype analysis or a similar predictive technique. This prediction method should be used in combination with more fundamental and traditional techniques such as etf price forecasting, technical analysis, analysts consensus, earnings estimates, and various momentum models.
Check out Historical Fundamental Analysis of Ultimus Managers to cross-verify your projections. Ultimus Managers Additional Predictive Modules
Most predictive techniques to examine Ultimus price help traders to determine how to time the market. We provide a combination of tools to recognize potential entry and exit points for Ultimus using various technical indicators. When you analyze Ultimus charts, please remember that the event formation may indicate an entry point for a short seller, and look at other indicators across different periods to confirm that a breakdown or reversion is likely to occur.| Cycle Indicators | ||
| Math Operators | ||
| Math Transform | ||
| Momentum Indicators | ||
| Overlap Studies | ||
| Pattern Recognition | ||
| Price Transform | ||
| Statistic Functions | ||
| Volatility Indicators | ||
| Volume Indicators |
Ultimus Managers Simple Moving Average Price Forecast For the 21st of January
Given 90 days horizon, the Simple Moving Average forecasted value of Ultimus Managers Trust on the next trading day is expected to be 26.55 with a mean absolute deviation of 0.17, mean absolute percentage error of 0.05, and the sum of the absolute errors of 10.19.Please note that although there have been many attempts to predict Ultimus Etf prices using its time series forecasting, we generally do not recommend using it to place bets in the real market. The most commonly used models for forecasting predictions are the autoregressive models, which specify that Ultimus Managers' next future price depends linearly on its previous prices and some stochastic term (i.e., imperfectly predictable multiplier).
Ultimus Managers Etf Forecast Pattern
| Backtest Ultimus Managers | Ultimus Managers Price Prediction | Buy or Sell Advice |
Ultimus Managers Forecasted Value
In the context of forecasting Ultimus Managers' Etf value on the next trading day, we examine the predictive performance of the model to find good statistically significant boundaries of downside and upside scenarios. Ultimus Managers' downside and upside margins for the forecasting period are 25.78 and 27.32, respectively. We have considered Ultimus Managers' daily market price to evaluate the above model's predictive performance. Remember, however, there is no scientific proof or empirical evidence that traditional linear or nonlinear forecasting models outperform artificial intelligence and frequency domain models to provide accurate forecasts consistently.
Model Predictive Factors
The below table displays some essential indicators generated by the model showing the Simple Moving Average forecasting method's relative quality and the estimations of the prediction error of Ultimus Managers etf data series using in forecasting. Note that when a statistical model is used to represent Ultimus Managers etf, the representation will rarely be exact; so some information will be lost using the model to explain the process. AIC estimates the relative amount of information lost by a given model: the less information a model loses, the higher its quality.| AIC | Akaike Information Criteria | 111.3779 |
| Bias | Arithmetic mean of the errors | -0.0326 |
| MAD | Mean absolute deviation | 0.1726 |
| MAPE | Mean absolute percentage error | 0.0067 |
| SAE | Sum of the absolute errors | 10.185 |
Predictive Modules for Ultimus Managers
There are currently many different techniques concerning forecasting the market as a whole, as well as predicting future values of individual securities such as Ultimus Managers Trust. Regardless of method or technology, however, to accurately forecast the etf market is more a matter of luck rather than a particular technique. Nevertheless, trying to predict the etf market accurately is still an essential part of the overall investment decision process. Using different forecasting techniques and comparing the results might improve your chances of accuracy even though unexpected events may often change the market sentiment and impact your forecasting results.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.
Other Forecasting Options for Ultimus Managers
For every potential investor in Ultimus, whether a beginner or expert, Ultimus Managers' price movement is the inherent factor that sparks whether it is viable to invest in it or hold it better. Ultimus Etf price charts are filled with many 'noises.' These noises can hugely alter the decision one can make regarding investing in Ultimus. Basic forecasting techniques help filter out the noise by identifying Ultimus Managers' price trends.Ultimus Managers Related Equities
One of the popular trading techniques among algorithmic traders is to use market-neutral strategies where every trade hedges away some risk. Because there are two separate transactions required, even if one position performs unexpectedly, the other equity can make up some of the losses. Below are some of the equities that can be combined with Ultimus Managers etf to make a market-neutral strategy. Peer analysis of Ultimus Managers could also be used in its relative valuation, which is a method of valuing Ultimus Managers by comparing valuation metrics with similar companies.
| Risk & Return | Correlation |
Ultimus Managers Trust Technical and Predictive Analytics
The etf market is financially volatile. Despite the volatility, there exist limitless possibilities of gaining profits and building passive income portfolios. With the complexity of Ultimus Managers' price movements, a comprehensive understanding of forecasting methods that an investor can rely on to make the right move is invaluable. These methods predict trends that assist an investor in predicting the movement of Ultimus Managers' current price.| Cycle Indicators | ||
| Math Operators | ||
| Math Transform | ||
| Momentum Indicators | ||
| Overlap Studies | ||
| Pattern Recognition | ||
| Price Transform | ||
| Statistic Functions | ||
| Volatility Indicators | ||
| Volume Indicators |
Ultimus Managers Market Strength Events
Market strength indicators help investors to evaluate how Ultimus Managers etf reacts to ongoing and evolving market conditions. The investors can use it to make informed decisions about market timing, and determine when trading Ultimus Managers shares will generate the highest return on investment. By undertsting and applying Ultimus Managers etf market strength indicators, traders can identify Ultimus Managers Trust entry and exit signals to maximize returns.
Ultimus Managers Risk Indicators
The analysis of Ultimus Managers' basic risk indicators is one of the essential steps in accurately forecasting its future price. The process involves identifying the amount of risk involved in Ultimus Managers' investment and either accepting that risk or mitigating it. Along with some essential techniques for forecasting ultimus etf prices, we also provide a set of basic risk indicators that can assist in the individual investment decision or help in hedging the risk of your existing portfolios.
| Mean Deviation | 0.6354 | |||
| Semi Deviation | 0.6491 | |||
| Standard Deviation | 0.7806 | |||
| Variance | 0.6094 | |||
| Downside Variance | 0.5834 | |||
| Semi Variance | 0.4214 | |||
| Expected Short fall | (0.68) |
Please note, the risk measures we provide can be used independently or collectively to perform a risk assessment. When comparing two potential investments, we recommend comparing similar equities with homogenous growth potential and valuation from related markets to determine which investment holds the most risk.
Thematic Opportunities
Explore Investment Opportunities
Check out Historical Fundamental Analysis of Ultimus Managers to cross-verify your projections. You can also try the Cryptocurrency Center module to build and monitor diversified portfolio of extremely risky digital assets and cryptocurrency.
The market value of Ultimus Managers Trust is measured differently than its book value, which is the value of Ultimus that is recorded on the company's balance sheet. Investors also form their own opinion of Ultimus Managers' value that differs from its market value or its book value, called intrinsic value, which is Ultimus Managers' true underlying value. Investors use various methods to calculate intrinsic value and buy a stock when its market value falls below its intrinsic value. Because Ultimus Managers' market value can be influenced by many factors that don't directly affect Ultimus Managers' underlying business (such as a pandemic or basic market pessimism), market value can vary widely from intrinsic value.
Please note, there is a significant difference between Ultimus Managers' value and its price as these two are different measures arrived at by different means. Investors typically determine if Ultimus Managers is a good investment by looking at such factors as earnings, sales, fundamental and technical indicators, competition as well as analyst projections. However, Ultimus Managers' price is the amount at which it trades on the open market and represents the number that a seller and buyer find agreeable to each party.