Singapore Technologies Pink Sheet Forecast - Simple Regression

Singapore Technologies Additional Predictive Modules

Most predictive techniques to examine Singapore price help traders to determine how to time the market. We provide a combination of tools to recognize potential entry and exit points for Singapore using various technical indicators. When you analyze Singapore 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 Singapore Technologies 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.

Singapore Technologies Simple Regression Price Forecast For the 29th of January

Given 90 days horizon, the Simple Regression forecasted value of Singapore Technologies Engineering on the next trading day is expected to be 70.97 with a mean absolute deviation of 2.27, mean absolute percentage error of 8.34, and the sum of the absolute errors of 138.68.

Singapore Technologies Pink Sheet Forecast Pattern

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Singapore Technologies 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 Singapore Technologies pink sheet data series using in forecasting. Note that when a statistical model is used to represent Singapore Technologies pink sheet, 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 Singapore Technologies Engineering 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 Singapore Technologies

There are currently many different techniques concerning forecasting the market as a whole, as well as predicting future values of individual securities such as Singapore Technologies. Regardless of method or technology, however, to accurately forecast the pink sheet market is more a matter of luck rather than a particular technique. Nevertheless, trying to predict the pink sheet 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 70.51 73.05 75.59 Details

Intrinsic Valuation Low Real High 57.15 59.69 80.36 Details

Bollinger Band Projection (param) Low Middle High 60.08 69.19 78.29 Details

Singapore Technologies After-Hype Price Density Analysis

Singapore Technologies Estimiated After-Hype Price Volatility

Singapore Technologies Pink Sheet Price Outlook Analysis

Notes

Singapore Technologies Hype Timeline

Singapore Technologies is at this time traded for 73.05. The entity stock is not elastic to its hype. The average elasticity to hype of competition is 0.17. Singapore is forecasted not to react to the next headline, with the price staying at about the same level, and average media hype impact volatility is insignificant. The immediate return on the next news is forecasted to be very small, whereas the daily expected return is at this time at 0.22%. %. The volatility of related hype on Singapore Technologies is about 335.99%, with the expected price after the next announcement by competition of 73.22. The book value of the company was at this time reported as 7.51. The company has Price/Earnings To Growth (PEG) ratio of 1.27. Singapore Technologies last dividend was issued on the 7th of December 2022. Assuming the 90 days horizon the next forecasted press release will be within a week. Check out Historical Fundamental Analysis of Singapore Technologies to cross-verify your projections.

Singapore Technologies Related Hype Analysis

Other Forecasting Options for Singapore Technologies

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

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