DICKER DATA Stock Forward View - Simple Regression

D0D Stock  EUR 5.35  -0.25  -4.46%   
In recent trading, DICKER DATA reflects the relative strength metric of 0, indicating compressed downside momentum. Readings below 20 are commonly associated with potential stabilization zones.
Momentum
Sell Peaked
 
Oversold
 
Overbought
An accurate short-term forecast for DICKER DATA depends on understanding not just its financials, but how the market's current narrative about DICKER DATA LTD compares to actual business performance. Fundamental drivers used to frame DICKER DATA's prediction:
 Quarterly Earnings Growth
0.067
 Quarterly Revenue Growth
0.109
The summary pairs DICKER DATA's headline activity with price response context.
The Simple Regression forecasted value of DICKER DATA LTD on the next trading day is expected to be 5.65 with a mean absolute deviation of 0.18 and the sum of the absolute errors of 11.00.
DICKER DATA after-hype prediction price
    
  € 5.31  
Attention metrics here are presented with forecasting, technical, analyst, and earnings context.
  
Historical Fundamental Analysis of DICKER DATA can be used to cross-verify projections for DICKER DATA. The view provides historical context for the projection set.

DICKER DATA Additional Predictive Modules

Forecasting DICKER DATA's price movement relies on structured analysis of indicator behavior, momentum signatures, and historical volatility patterns. No prediction model eliminates uncertainty; the goal is to identify scenarios with favorable risk-adjusted probabilities.
Simple Regression model is a single variable regression model that attempts to put a straight line through DICKER DATA price points. This line is defined by its gradient or slope, and the point at which it intercepts the x-axis. Mathematically, assuming the independent variable is X and the dependent variable is Y, then this line can be represented as: Y = intercept + slope * X.

Simple Regression Price Forecast For the 18th of March 2026

Given 90 days horizon, the Simple Regression forecasted value of DICKER DATA LTD on the next trading day is expected to be 5.65 with a mean absolute deviation of 0.18 , mean absolute percentage error of 0.06 , and the sum of the absolute errors of 11.00 .
Please note that although there have been many attempts to predict DICKER Stock 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 DICKER DATA's next future price depends linearly on its previous prices and some stochastic term (i.e., imperfectly predictable multiplier).

Stock Forecast Pattern

Backtest DICKER DATA  DICKER DATA Price Prediction  Research Analysis  

Forecasted Value

For the next trading day, Macroaxis evaluates DICKER DATA's predictive range by looking for statistically meaningful downside and upside boundaries. The projected forecast band currently runs from roughly 2.44 on the downside to about 8.87 on the upside.
Market Value
5.35
5.65
Expected Value
8.87
Upside

Model Predictive Factors

The below table displays some essential indicators generated by the model showing the Simple Regression forecasting method's relative quality and the estimations of the prediction error of DICKER DATA stock data series using in forecasting. Note that when a statistical model is used to represent DICKER DATA stock, 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 Criteria115.2678
BiasArithmetic mean of the errors None
MADMean absolute deviation0.1803
MAPEMean absolute percentage error0.0322
SAESum of the absolute errors10.9956
In general, regression methods applied to historical equity returns or prices series is an area of active research. In recent decades, new methods have been developed for robust regression of price series such as DICKER DATA LTD historical returns. These new methods are regression involving correlated responses such as growth curves and different regression methods accommodating various types of missing data.
Mean reversion opportunities in DICKER DATA's arise when market prices disconnect from fundamental anchors such as earnings, book value, or historical price-to-earnings multiples.
Hype
Prediction
LowEstimatedHigh
2.095.318.53
Details
Intrinsic
Valuation
LowRealHigh
1.354.577.79
Details
Relative analysis of DICKER DATA against direct competitors reveals whether DICKER DATA's current valuation reflects a genuine competitive advantage or simply market-wide multiple expansion that applies to all sector peers.

After-Hype Price Density Analysis

Using probability distributions for DICKER DATA forecasting acknowledges that no model can consistently predict DICKER DATA's exact future price. The distribution approach quantifies model uncertainty and helps investors avoid overconfidence in any single forecast.
   Next price density   
       Expected price to next headline  

Estimiated After-Hype Price Volatility

The after-hype price analysis for DICKER DATA provides a news-conditional view of potential price outcomes. DICKER DATA's after-hype downside and upside margins for the prediction period are 2.09 and 8.53, respectively. This analysis complements technical and fundamental research by adding a news-sentiment dimension to DICKER DATA's price forecasting.
Current Value
5.35
5.31
After-hype Price
8.53
Upside
Macroaxis estimates the after-hype price of DICKER DATA LTD across a 3 months horizon to evaluate where the instrument could settle once headline distortion subsides. DICKER DATA is Moderate at this time.

Price Outlook Analysis

Have you ever been surprised when a price of a Company such as DICKER DATA is soaring high without any particular reason? This is usually happening because many institutional investors are aggressively trading DICKER DATA 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 Stock 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 DICKER DATA, there might be something going there, and it might present an excellent short sale opportunity.
Expected ReturnPeriod VolatilityHype ElasticityRelated ElasticityNews DensityRelated DensityExpected Hype
  0.06 
3.22
  0.04 
  0.06 
3 Events
1 Events
In 3 days
Latest traded priceExpected after-news pricePotential return on next major newsAverage after-hype volatility
5.35
5.31
0.75 
545.76  
Notes

Hype Timeline

DICKER DATA LTD is currently traded for 5.35on Frankfurt Exchange of Germany. The company has historical hype elasticity of -0.04, and average elasticity to hype of competition of -0.06. DICKER is estimated to decline in value after the next headline, with the price expected to drop to 5.31. The average volatility of media hype impact on the company price is over 100%. The price reduction on the next news is expected to be -0.75%, whereas the daily expected return is currently at -0.06%. The volatility of related hype on DICKER DATA is about 328.09%, with the expected price after the next announcement by competition of 5.29. About 34.0% of the company shares are held by company insiders. The company had its last dividend issued on the 3rd of March 2026. Assuming a 90-day horizon the next estimated press release will be in 3 days.
Historical Fundamental Analysis of DICKER DATA can be used to cross-verify projections for DICKER DATA. The view provides historical context for the projection set.

Related Hype Analysis

The peer hype comparison table for DICKER DATA includes downside risk metrics such as value-at-risk and maximum drawdown for DICKER DATA's competitors. providing context for assessing the relative risk profile of a DICKER DATA investment.

Other Forecasting Options for DICKER DATA

The movement of DICKER price is the central consideration for investors deciding whether to enter or hold a position. Noise in DICKER Stock price charts can make it difficult to distinguish meaningful trends from random fluctuations.

DICKER DATA Related Equities

The following equities are related to DICKER DATA within the Information Technology space and can be used for peer comparison, relative valuation, or portfolio diversification. Comparing DICKER DATA against peers on metrics such as P/E, margins, and return on equity helps contextualize its positioning and identify relative strengths or weaknesses.
 Risk & Return  Correlation

DICKER DATA Market Strength Events

Investors use market strength indicators for DICKER DATA to evaluate how the stock performs relative to broader market trends. These indicators support more precise timing of DICKER DATA LTD positions, helping investors maximize return and minimize poorly-timed trades.

DICKER DATA Risk Indicators

A careful analysis of DICKER DATA's basic risk indicators helps investors understand the risk environment surrounding dicker stock. This understanding is an essential input for forecasting DICKER DATA's future price and for deciding how to manage the associated investment risk.
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 DICKER DATA

Coverage intensity for DICKER DATA LTD matters because narrative visibility can influence sentiment, participation, and volatility around the name. The stronger process compares story flow with performance, theme classification, and the level of short-term market interest.

Other Macroaxis Stories

Macroaxis publishes story content for a diverse readership that includes finance students, independent investors, money managers, and market-focused operating teams. What connects that audience is a focus on building stronger portfolios through better research, risk awareness, and comparative analysis.

More Resources for DICKER Stock Analysis

Other Information on Investing in DICKER Stock

Financial ratios for DICKER DATA help frame valuation context across profits, cash flow, and enterprise value. They help compare DICKER across measures in a consistent way.