MFUT Etf Forward View - Simple Moving Average

MFUT Etf   17.95  0.23  1.30%   
MFUT Etf outlook is based on your current time horizon.
At this time the relative strength momentum indicator of MFUT's share price is below 20 . This indicates that the etf is significantly oversold. The fundamental principle of the Relative Strength Index (RSI) is to quantify the velocity at which market participants are driving the price of a financial instrument upwards or downwards.

Momentum 0

 Sell Peaked

 
Oversold
 
Overbought
The successful prediction of MFUT's future price could yield a significant profit. We analyze noise-free headlines and recent hype associated with MFUT, which may create opportunities for some arbitrage if properly timed.
Using MFUT hype-based prediction, you can estimate the value of MFUT from the perspective of MFUT response to recently generated media hype and the effects of current headlines on its competitors.
The Simple Moving Average forecasted value of MFUT on the next trading day is expected to be 17.95 with a mean absolute deviation of 0.18 and the sum of the absolute errors of 10.75.

MFUT after-hype prediction price

    
  USD 17.99  
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 MFUT to cross-verify your projections.

MFUT Additional Predictive Modules

Most predictive techniques to examine MFUT price help traders to determine how to time the market. We provide a combination of tools to recognize potential entry and exit points for MFUT using various technical indicators. When you analyze MFUT 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.
A two period moving average forecast for MFUT is based on an daily price series in which the stock price on a given day is replaced by the mean of that price and the preceding price. This model is best suited to price patterns experiencing average volatility.

MFUT Simple Moving Average Price Forecast For the 6th of February

Given 90 days horizon, the Simple Moving Average forecasted value of MFUT on the next trading day is expected to be 17.95 with a mean absolute deviation of 0.18, mean absolute percentage error of 0.07, and the sum of the absolute errors of 10.75.
Please note that although there have been many attempts to predict MFUT Etf prices using its time series forecasting, we generally do not suggest using it to place bets in the real market. The most commonly used models for forecasting predictions are the autoregressive models, which specify that MFUT's next future price depends linearly on its previous prices and some stochastic term (i.e., imperfectly predictable multiplier).

MFUT Etf Forecast Pattern

Backtest MFUT  MFUT Price Prediction  Research Analysis  

MFUT Forecasted Value

In the context of forecasting MFUT's 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. MFUT's downside and upside margins for the forecasting period are 16.74 and 19.16, respectively. We have considered MFUT's 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.
Market Value
17.95
17.95
Expected Value
19.16
Upside

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 MFUT etf data series using in forecasting. Note that when a statistical model is used to represent MFUT 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.
AICAkaike Information Criteria111.7207
BiasArithmetic mean of the errors -0.0661
MADMean absolute deviation0.1822
MAPEMean absolute percentage error0.0107
SAESum of the absolute errors10.75
The simple moving average model is conceptually a linear regression of the current value of MFUT price series against current and previous (unobserved) value of MFUT. In time series analysis, the simple moving-average model is a very common approach for modeling univariate price series models including forecasting prices into the future

Predictive Modules for MFUT

There are currently many different techniques concerning forecasting the market as a whole, as well as predicting future values of individual securities such as MFUT. 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 MFUT's 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
16.7817.9919.20
Details
Intrinsic
Valuation
LowRealHigh
16.1619.2320.44
Details
Bollinger
Band Projection (param)
LowMiddleHigh
16.3217.6018.88
Details

MFUT After-Hype Price Density Analysis

As far as predicting the price of MFUT at your current risk attitude, this probability distribution graph shows the chance that the prediction will fall between or within a specific range. We use this chart to confirm that your returns on investing in MFUT or, for that matter, your successful expectations of its future price, cannot be replicated consistently. Please note, a large amount of money has been lost over the years by many investors who confused the symmetrical distributions of Etf prices, such as prices of MFUT, with the unreliable approximations that try to describe financial returns.
   Next price density   
       Expected price to next headline  

MFUT Estimiated After-Hype Price Volatility

In the context of predicting MFUT's etf value on the day after the next significant headline, we show statistically significant boundaries of downside and upside scenarios based on MFUT's historical news coverage. MFUT's after-hype downside and upside margins for the prediction period are 16.78 and 19.20, respectively. We have considered MFUT's daily market price in relation to the headlines to evaluate this method's predictive performance. Remember, however, there is no scientific proof or empirical evidence that news-based prediction models compare with traditional linear, nonlinear models or artificial intelligence models to provide accurate predictions consistently.
Current Value
17.95
17.99
After-hype Price
19.20
Upside
MFUT is very steady at this time. Analysis and calculation of next after-hype price of MFUT is based on 3 months time horizon.

MFUT Etf Price Outlook Analysis

Have you ever been surprised when a price of a ETF such as MFUT is soaring high without any particular reason? This is usually happening because many institutional investors are aggressively trading MFUT backward and forwards among themselves. Have you ever observed a lot of a particular company's price movement is driven by press releases or news about the company that has nothing to do with actual earnings? Usually, hype to individual companies acts as price momentum. If not enough favorable publicity is forthcoming, the Etf price eventually runs out of speed. So, the rule of thumb here is that as long as this news hype has nothing to do with immediate earnings, you should pay more attention to it. If you see this tendency with MFUT, there might be something going there, and it might present an excellent short sale opportunity.
Expected ReturnPeriod VolatilityHype ElasticityRelated ElasticityNews DensityRelated DensityExpected Hype
  0.27 
1.21
  0.04 
  0.04 
2 Events / Month
3 Events / Month
In a few days
Latest traded priceExpected after-news pricePotential return on next major newsAverage after-hype volatility
17.95
17.99
0.22 
864.29  
Notes

MFUT Hype Timeline

MFUT is now traded for 17.95. The entity has historical hype elasticity of 0.04, and average elasticity to hype of competition of -0.04. MFUT is anticipated to increase in value after the next headline, with the price projected to jump to 17.99 or above. The average volatility of media hype impact on the company the price is over 100%. The price appreciation on the next news is anticipated to be 0.22%, whereas the daily expected return is now at 0.27%. The volatility of related hype on MFUT is about 775.64%, with the expected price after the next announcement by competition of 17.91. Given the investment horizon of 90 days the next anticipated press release will be in a few days.
Check out Historical Fundamental Analysis of MFUT to cross-verify your projections.

MFUT Related Hype Analysis

Having access to credible news sources related to MFUT's direct competition is more important than ever and may enhance your ability to predict MFUT's future price movements. Getting to know how MFUT's peers react to changing market sentiment, related social signals, and mainstream news is a great way to find investing opportunities and time the market. The summary table below summarizes the essential lagging indicators that can help you analyze how MFUT may potentially react to the hype associated with one of its peers.
Hype
Elasticity
News
Density
Semi
Deviation
Information
Ratio
Potential
Upside
Value
At Risk
Maximum
Drawdown
MEMSMatthews Emerging Markets(0.06)6 per month 0.91 (0.02) 1.33 (1.36) 3.42 
JLQDJanus Henderson Corporate 0.03 1 per month 0.15 (0.35) 0.26 (0.26) 0.77 
GSIBThemes Global Systemically(0.10)3 per month 0.69  0.20  1.65 (1.76) 3.96 
NSINational Security Emerging(0.16)5 per month 0.78  0.07  1.51 (1.41) 5.15 
GYLDArrow ETF Trust(0.01)2 per month 0.73  0.02  1.14 (1.07) 4.75 
PJFMPGIM ETF Trust 0.00 0 per month 0.67  0.06  1.62 (1.53) 3.60 
PJIOPGIM ETF Trust 0.17 2 per month 0.00 (0.14) 1.37 (2.03) 4.14 
NVDDDirexion Daily NVDA(1.36)1 per month 1.86  0.08  3.74 (2.96) 9.75 
DYFIIDX Dynamic Fixed 0.00 2 per month 0.00 (0.49) 0.18 (0.13) 0.48 
MLPDGlobal X Funds(0.07)1 per month 0.00  0.16  0.69 (0.69) 1.78 

Other Forecasting Options for MFUT

For every potential investor in MFUT, whether a beginner or expert, MFUT's price movement is the inherent factor that sparks whether it is viable to invest in it or hold it better. MFUT Etf price charts are filled with many 'noises.' These noises can hugely alter the decision one can make regarding investing in MFUT. Basic forecasting techniques help filter out the noise by identifying MFUT's price trends.

MFUT 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 MFUT etf to make a market-neutral strategy. Peer analysis of MFUT could also be used in its relative valuation, which is a method of valuing MFUT by comparing valuation metrics with similar companies.
 Risk & Return  Correlation

MFUT Market Strength Events

Market strength indicators help investors to evaluate how MFUT etf reacts to ongoing and evolving market conditions. The investors can use it to make informed decisions about market timing, and determine when trading MFUT shares will generate the highest return on investment. By undertsting and applying MFUT etf market strength indicators, traders can identify MFUT entry and exit signals to maximize returns.

MFUT Risk Indicators

The analysis of MFUT's 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 MFUT's investment and either accepting that risk or mitigating it. Along with some essential techniques for forecasting mfut 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.
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.

Story Coverage note for MFUT

The number of cover stories for MFUT depends on current market conditions and MFUT's risk-adjusted performance over time. The coverage that generates the most noise at a given time depends on the prevailing investment theme that MFUT is classified under. However, while its typical story may have numerous social followers, the rapid visibility can also attract short-sellers, who usually are skeptical about MFUT's long-term prospects. So, having above-average coverage will typically attract above-average short interest, leading to significant price volatility.

Other Macroaxis Stories

Our audience includes start-ups and big corporations as well as marketing, public relation firms, and advertising agencies, including technology and finance journalists. Our platform and its news and story outlet are popular among finance students, amateur traders, self-guided investors, entrepreneurs, retirees and baby boomers, academic researchers, financial advisers, as well as professional money managers - a very diverse and influential demographic landscape united by one goal - build optimal investment portfolios
When determining whether MFUT is a good investment, qualitative aspects like company management, corporate governance, and ethical practices play a significant role. A comparison with peer companies also provides context and helps to understand if MFUT Etf is undervalued or overvalued. This multi-faceted approach, blending both quantitative and qualitative analysis, forms a solid foundation for making an informed investment decision about Mfut Etf. Highlighted below are key reports to facilitate an investment decision about Mfut Etf:
Check out Historical Fundamental Analysis of MFUT to cross-verify your projections.
You can also try the Insider Screener module to find insiders across different sectors to evaluate their impact on performance.
MFUT's market price often diverges from its book value, the accounting figure shown on MFUT's balance sheet. Smart investors calculate MFUT's intrinsic value - its true economic worth - which may differ significantly from both market price and book value. Analysts utilize numerous techniques to assess fundamental value, seeking to purchase shares when trading prices fall beneath estimated intrinsic worth. Since MFUT's trading price responds to investor sentiment, macroeconomic conditions, and market psychology, it can swing far from fundamental value.
Understanding that MFUT's value differs from its trading price is crucial, as each reflects different aspects of the company. Evaluating whether MFUT represents a sound investment requires analyzing earnings trends, revenue growth, technical signals, industry dynamics, and expert forecasts. However, MFUT's 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.