Sahamit Machinery Stock Forward View - Simple Regression

Sahamit Machinery Additional Predictive Modules

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

Sahamit Machinery Simple Regression Price Forecast For the 26th of February

Given 90 days horizon, the Simple Regression forecasted value of Sahamit Machinery Public on the next trading day is expected to be 3.61 with a mean absolute deviation of 0.01, mean absolute percentage error of 0.0004, and the sum of the absolute errors of 0.89.

Sahamit Machinery Stock Forecast Pattern

Backtest Sahamit Machinery

Sahamit Machinery Price Prediction

Research Analysis

Sahamit Machinery 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 Sahamit Machinery stock data series using in forecasting. Note that when a statistical model is used to represent Sahamit Machinery 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 Sahamit Machinery Public 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 Sahamit Machinery

There are currently many different techniques concerning forecasting the market as a whole, as well as predicting future values of individual securities such as Sahamit Machinery Public. 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 3.00 3.60 4.20 Details

Intrinsic Valuation Low Real High 2.99 3.59 4.19 Details

Bollinger Band Projection (param) Low Middle High 2.92 3.61 3.64 Details

Sahamit Machinery After-Hype Price Density Analysis

Sahamit Machinery Estimiated After-Hype Price Volatility

Sahamit Machinery Stock Price Outlook Analysis

Notes

Sahamit Machinery Hype Timeline

Sahamit Machinery Public is at this time traded for 3.60on Thailand Exchange of Thailand. The entity stock is not elastic to its hype. The average elasticity to hype of competition is 0.0. Sahamit 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 0.01%. %. The volatility of related hype on Sahamit Machinery is about 0.0%, with the expected price after the next announcement by competition of 3.60. About 52.0% of the company outstanding shares are owned by corporate insiders. The company has price-to-book ratio of 1.04. Typically companies with comparable Price to Book (P/B) are able to outperform the market in the long run. Sahamit Machinery Public last dividend was issued on the 26th of August 2022. Assuming the 90 days trading horizon the next forecasted press release will be within a week. Check out Historical Fundamental Analysis of Sahamit Machinery to cross-verify your projections.

Sahamit Machinery Related Hype Analysis

Other Forecasting Options for Sahamit Machinery

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

Sahamit Machinery Related Equities

Risk & Return

Correlation

Sahamit Machinery Market Strength Events

Sahamit Machinery Risk Indicators

Story Coverage note for Sahamit Machinery

Other Macroaxis Stories

Sahamit Machinery Short Properties

Other Information on Investing in Sahamit Stock