DEUTSCHE SMALL Mutual Fund Forward View - Simple Exponential Smoothing

SSDIX Fund  USD 36.61  0.77  2.15%   
The Simple Exponential Smoothing forecast shown here for DEUTSCHE SMALL is reference data produced from its historical price series. The projected value and error measures below serve as reference information. This data is provided for reference and analytical review. The Simple Exponential Smoothing output serves as one input among many for analytical review.
The Simple Exponential Smoothing forecasted value of Deutsche Small Cap on the next trading day is expected to be 36.59 with a mean absolute deviation of 0.34 and the sum of the absolute errors of 20.52.This simple exponential smoothing model begins by setting Deutsche Small Cap forecast for the second period equal to the observation of the first period. In other words, recent DEUTSCHE SMALL observations are given relatively more weight in forecasting than the older observations. This Simple Exponential Smoothing reference page for DEUTSCHE SMALL presents model-generated projections from historical price data for informational purposes.
DEUTSCHE SMALL 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 Small Cap are weighted equally, Exponential Smoothing assigns exponentially decreasing weights as Deutsche Small Cap prices get older.

Simple Exponential Smoothing Price Forecast For the 25th of March

Given 90 days horizon, the Simple Exponential Smoothing forecasted value of Deutsche Small Cap on the next trading day is expected to be 36.59 with a mean absolute deviation of 0.34 , mean absolute percentage error of 0.19 , and the sum of the absolute errors of 20.52 .
Please note that although there have been many attempts to predict DEUTSCHE Mutual Fund 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 DEUTSCHE SMALL's next future price depends linearly on its previous prices and some stochastic term (i.e., imperfectly predictable multiplier).

Mutual Fund Forecast Pattern

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Forecasted Value

The next-day forecast for Deutsche Small Cap focuses on identifying predictive downside and upside bands that can frame a realistic trading range. The current forecast range spans downside near 35.41 and upside near 37.76.
Market Value
36.61
36.59
Expected Value
37.76
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 SMALL mutual fund data series using in forecasting. Note that when a statistical model is used to represent DEUTSCHE SMALL 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 Criteria116.4475
BiasArithmetic mean of the errors 0.0252
MADMean absolute deviation0.3363
MAPEMean absolute percentage error0.0088
SAESum of the absolute errors20.5171
This simple exponential smoothing model begins by setting Deutsche Small Cap forecast for the second period equal to the observation of the first period. In other words, recent DEUTSCHE SMALL observations are given relatively more weight in forecasting than the older observations.

Other Forecasting Options for DEUTSCHE SMALL

The distribution of DEUTSCHE SMALL's daily returns is typically non-normal, with fatter tails than a Gaussian model predicts. This can reveal hidden support and resistance zones in DEUTSCHE SMALL's chart that simple price charts miss. The slope of DEUTSCHE SMALL's linear regression channel quantifies trend direction and strength over a chosen lookback period. Divergences between OBV and price can foreshadow trend changes in DEUTSCHE.

DEUTSCHE SMALL Related Equities

The stocks listed below are peers of DEUTSCHE SMALL within the Small Growth space and offer context for ranking and strength. Revenue and margin checks across this group help investors set expectations for DEUTSCHE SMALL's results.
 Risk & Return  Correlation

DEUTSCHE SMALL Market Strength Events

Market strength indicators for DEUTSCHE SMALL give insight into the mutual fund's responsiveness to broader forces. These indicators are useful for traders seeking optimal timing for positions in Deutsche Small Cap. Market strength analysis for Deutsche Small Cap works best when combined with volume and volatility data. For DEUTSCHE SMALL, strength indicators are a practical complement to price and fundamental analysis.

DEUTSCHE SMALL Risk Indicators

A thorough review of DEUTSCHE SMALL's risk indicators is an important first step in forecasting its price. Quantifying the risk involved in DEUTSCHE SMALL's allows investors to make better decisions about entry, sizing, and hedging. The assessment of DEUTSCHE SMALL's risk indicators plays a key role in managing investment exposure. Identifying the magnitude of risk in DEUTSCHE SMALL's provides context to choose between accepting or hedging exposure.
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 SMALL

Story coverage around Deutsche Small Cap often expands when market conditions, narrative momentum, or risk-adjusted performance make the security more visible to investors. A disciplined read of coverage separates durable relevance from temporary noise.

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Macroaxis story coverage is designed for a broad investing audience that ranges from self-directed traders to advisers, researchers, and institutional market participants. The content is intended to support people who want a more structured path from headline information to portfolio action.