Deutsche Floating Mutual Fund Forward View - Simple Exponential Smoothing

DFRPX Fund  USD 7.35  0.04  0.54%   
Deutsche Mutual Fund outlook is based on your current time horizon.
At this time, the relative strength index (RSI) of Deutsche Floating's share price is approaching 36 suggesting that the mutual fund is in nutural position, most likellhy at or near its support level. The main point of RSI analysis is to track how fast people are buying or selling Deutsche Floating, making its price go up or down.

Momentum 36

 Sell Extended

 
Oversold
 
Overbought
The successful prediction of Deutsche Floating's future price could yield a significant profit. We analyze noise-free headlines and recent hype associated with Deutsche Floating Rate, which may create opportunities for some arbitrage if properly timed.
Using Deutsche Floating hype-based prediction, you can estimate the value of Deutsche Floating Rate from the perspective of Deutsche Floating response to recently generated media hype and the effects of current headlines on its competitors.
The Simple Exponential Smoothing forecasted value of Deutsche Floating Rate on the next trading day is expected to be 7.35 with a mean absolute deviation of 0 and the sum of the absolute errors of 0.11.

Deutsche Floating after-hype prediction price

    
  USD 7.35  
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 fund price forecasting, technical analysis, analysts consensus, earnings estimates, and various momentum models.
  
Check out Historical Fundamental Analysis of Deutsche Floating to cross-verify your projections.

Deutsche Floating Additional Predictive Modules

Most predictive techniques to examine Deutsche price help traders to determine how to time the market. We provide a combination of tools to recognize potential entry and exit points for Deutsche using various technical indicators. When you analyze Deutsche 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.
Deutsche Floating simple exponential smoothing forecast is a very popular model used to produce a smoothed price series. Whereas in simple Moving Average models the past observations for Deutsche Floating Rate are weighted equally, Exponential Smoothing assigns exponentially decreasing weights as Deutsche Floating Rate prices get older.

Deutsche Floating Simple Exponential Smoothing Price Forecast For the 31st of January

Given 90 days horizon, the Simple Exponential Smoothing forecasted value of Deutsche Floating Rate on the next trading day is expected to be 7.35 with a mean absolute deviation of 0, mean absolute percentage error of 0.000038, and the sum of the absolute errors of 0.11.
Please note that although there have been many attempts to predict Deutsche Mutual Fund 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 Deutsche Floating's next future price depends linearly on its previous prices and some stochastic term (i.e., imperfectly predictable multiplier).

Deutsche Floating Mutual Fund Forecast Pattern

Backtest Deutsche Floating  Deutsche Floating Price Prediction  Buy or Sell Advice  

Deutsche Floating Forecasted Value

In the context of forecasting Deutsche Floating's Mutual Fund 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. Deutsche Floating's downside and upside margins for the forecasting period are 7.27 and 7.43, respectively. We have considered Deutsche Floating'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
7.35
7.35
Expected Value
7.43
Upside

Model Predictive Factors

The below table displays some essential indicators generated by the model showing the Simple Exponential Smoothing forecasting method's relative quality and the estimations of the prediction error of Deutsche Floating mutual fund data series using in forecasting. Note that when a statistical model is used to represent Deutsche Floating mutual fund, 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 Criteria106.1034
BiasArithmetic mean of the errors -5.0E-4
MADMean absolute deviation0.0018
MAPEMean absolute percentage error2.0E-4
SAESum of the absolute errors0.11
This simple exponential smoothing model begins by setting Deutsche Floating Rate forecast for the second period equal to the observation of the first period. In other words, recent Deutsche Floating observations are given relatively more weight in forecasting than the older observations.

Predictive Modules for Deutsche Floating

There are currently many different techniques concerning forecasting the market as a whole, as well as predicting future values of individual securities such as Deutsche Floating Rate. Regardless of method or technology, however, to accurately forecast the mutual fund market is more a matter of luck rather than a particular technique. Nevertheless, trying to predict the mutual fund 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.
Hype
Prediction
LowEstimatedHigh
7.277.357.43
Details
Intrinsic
Valuation
LowRealHigh
7.277.357.43
Details

Deutsche Floating After-Hype Price Density Analysis

As far as predicting the price of Deutsche Floating 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 Deutsche Floating 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 Mutual Fund prices, such as prices of Deutsche Floating, with the unreliable approximations that try to describe financial returns.
   Next price density   
       Expected price to next headline  

Deutsche Floating Estimiated After-Hype Price Volatility

In the context of predicting Deutsche Floating's mutual fund value on the day after the next significant headline, we show statistically significant boundaries of downside and upside scenarios based on Deutsche Floating's historical news coverage. Deutsche Floating's after-hype downside and upside margins for the prediction period are 7.27 and 7.43, respectively. We have considered Deutsche Floating'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 outperform traditional linear, nonlinear models or artificial intelligence models to provide accurate predictions consistently.
Current Value
7.35
7.35
After-hype Price
7.43
Upside
Deutsche Floating is very steady at this time. Analysis and calculation of next after-hype price of Deutsche Floating Rate is based on 3 months time horizon.

Deutsche Floating Mutual Fund Price Outlook Analysis

Have you ever been surprised when a price of a Mutual Fund such as Deutsche Floating is soaring high without any particular reason? This is usually happening because many institutional investors are aggressively trading Deutsche Floating 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 Fund 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 Deutsche Floating, there might be something going there, and it might present an excellent short sale opportunity.
Expected ReturnPeriod VolatilityHype ElasticityRelated ElasticityNews DensityRelated DensityExpected Hype
  0.01 
0.08
 0.00  
  0.21 
2 Events / Month
1 Events / Month
In a few days
Latest traded priceExpected after-news pricePotential return on next major newsAverage after-hype volatility
7.35
7.35
0.00 
800.00  
Notes

Deutsche Floating Hype Timeline

Deutsche Floating Rate is currently traded for 7.35. The entity stock is not elastic to its hype. The average elasticity to hype of competition is 0.21. Deutsche is projected not to react to the next headline, with the price staying at about the same level, and average media hype impact volatility is over 100%. The immediate return on the next news is projected to be very small, whereas the daily expected return is currently at 0.01%. %. The volatility of related hype on Deutsche Floating is about 0.38%, with the expected price after the next announcement by competition of 7.56. Assuming the 90 days horizon the next projected press release will be in a few days.
Check out Historical Fundamental Analysis of Deutsche Floating to cross-verify your projections.

Deutsche Floating Related Hype Analysis

Having access to credible news sources related to Deutsche Floating's direct competition is more important than ever and may enhance your ability to predict Deutsche Floating's future price movements. Getting to know how Deutsche Floating'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 Deutsche Floating 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
FUEMXFidelity Flex Servative 0.00 1 per month 0.00 (0.75) 0.10  0.00  0.40 
TEPFXAmerican Funds Tax Exempt 0.00 0 per month 0.00 (0.84) 0.10 (0.10) 0.21 
QNZIXAqr Sustainable Long Short 0.00 0 per month 0.54  0.15  1.31 (1.08) 3.28 
CWFIXChartwell Short Duration 0.00 0 per month 0.00 (0.43) 0.10 (0.10) 0.83 
ATOAXAlpine Ultra Short 0.00 1 per month 0.00 (0.87) 0.20  0.00  0.30 
VMSSXVirtus Multi Sector Short 0.00 1 per month 0.00 (0.31) 0.22 (0.22) 0.66 
GTLSXQuantitative Longshort Equity 168.57 1 per month 0.00  0.13  0.91 (0.37) 18.34 
VTSPXVanguard Short Term Inflation Protected 0.00 0 per month 0.00 (0.72) 0.12 (0.12) 0.28 

Other Forecasting Options for Deutsche Floating

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

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

Deutsche Floating Market Strength Events

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

Deutsche Floating Risk Indicators

The analysis of Deutsche Floating'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 Deutsche Floating's investment and either accepting that risk or mitigating it. Along with some essential techniques for forecasting deutsche mutual fund 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 Deutsche Floating

The number of cover stories for Deutsche Floating depends on current market conditions and Deutsche Floating's risk-adjusted performance over time. The coverage that generates the most noise at a given time depends on the prevailing investment theme that Deutsche Floating 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 Deutsche Floating'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

Other Information on Investing in Deutsche Mutual Fund

Deutsche Floating financial ratios help investors to determine whether Deutsche Mutual Fund is cheap or expensive when compared to a particular measure, such as profits or enterprise value. In other words, they help investors to determine the cost of investment in Deutsche with respect to the benefits of owning Deutsche Floating security.
Equity Analysis
Research over 250,000 global equities including funds, stocks and ETFs to find investment opportunities
Portfolio Center
All portfolio management and optimization tools to improve performance of your portfolios
CEOs Directory
Screen CEOs from public companies around the world
Portfolio Optimization
Compute new portfolio that will generate highest expected return given your specified tolerance for risk