SIVERS SEMICONDUCTORS Stock Forward View - Simple Regression

SIVERS SEMICONDUCTORS Additional Predictive Modules

Most predictive techniques to examine SIVERS price help traders to determine how to time the market. We provide a combination of tools to recognize potential entry and exit points for SIVERS using various technical indicators. When you analyze SIVERS 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. Simple Regression model is a single variable regression model that attempts to put a straight line through SIVERS SEMICONDUCTORS 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.

SIVERS SEMICONDUCTORS Simple Regression Price Forecast For the 6th of February

Given 90 days horizon, the Simple Regression forecasted value of SIVERS SEMICONDUCTORS AB on the next trading day is expected to be 0.33 with a mean absolute deviation of 0.02, mean absolute percentage error of 0.0007, and the sum of the absolute errors of 1.46.

SIVERS SEMICONDUCTORS Stock Forecast Pattern

Backtest SIVERS SEMICONDUCTORS

SIVERS SEMICONDUCTORS Price Prediction

Research Analysis

SIVERS SEMICONDUCTORS Forecasted Value

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 SIVERS SEMICONDUCTORS stock data series using in forecasting. Note that when a statistical model is used to represent SIVERS SEMICONDUCTORS 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. 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 SIVERS SEMICONDUCTORS AB historical returns. These new methods are regression involving correlated responses such as growth curves and different regression methods accommodating various types of missing data.

Predictive Modules for SIVERS SEMICONDUCTORS

There are currently many different techniques concerning forecasting the market as a whole, as well as predicting future values of individual securities such as SIVERS SEMICONDUCTORS. Regardless of method or technology, however, to accurately forecast the stock market is more a matter of luck rather than a particular technique. Nevertheless, trying to predict the stock 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 Low Estimated High 0.01 0.29 4.71 Details

Intrinsic Valuation Low Real High 0.01 0.26 4.68 Details

Bollinger Band Projection (param) Low Middle High 0.27 0.33 0.39 Details

SIVERS SEMICONDUCTORS After-Hype Price Density Analysis

SIVERS SEMICONDUCTORS Estimiated After-Hype Price Volatility

SIVERS SEMICONDUCTORS Stock Price Outlook Analysis

Notes

SIVERS SEMICONDUCTORS Hype Timeline

SIVERS SEMICONDUCTORS is presently traded for 0.29on Frankfurt Exchange of Germany. The entity stock is not elastic to its hype. The average elasticity to hype of competition is 0.02. SIVERS is estimated 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 estimated to be very small, whereas the daily expected return is presently at -0.02%. %. The volatility of related hype on SIVERS SEMICONDUCTORS is about 441.79%, with the expected price after the next announcement by competition of 0.31. About 21.0% of the company shares are owned by insiders or employees . The company has Price-to-Book (P/B) ratio of 0.81. In the past many companies with similar price-to-book ratios have beat the market. SIVERS SEMICONDUCTORS recorded a loss per share of 0.05. The entity had not issued any dividends in recent years. Assuming the 90 days horizon the next estimated press release will be in about 9 days. Check out Historical Fundamental Analysis of SIVERS SEMICONDUCTORS to cross-verify your projections.

SIVERS SEMICONDUCTORS Related Hype Analysis

Other Forecasting Options for SIVERS SEMICONDUCTORS

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

SIVERS SEMICONDUCTORS Related Equities

Risk & Return

Correlation

SIVERS SEMICONDUCTORS Market Strength Events

SIVERS SEMICONDUCTORS Risk Indicators

Story Coverage note for SIVERS SEMICONDUCTORS

Other Macroaxis Stories

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