Airmate Cayman Stock Forecast - Simple Regression

Airmate Cayman Additional Predictive Modules

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

Airmate Cayman Simple Regression Price Forecast For the 27th of January

Given 90 days horizon, the Simple Regression forecasted value of Airmate Cayman International on the next trading day is expected to be 10.78 with a mean absolute deviation of 0.14, mean absolute percentage error of 0.03, and the sum of the absolute errors of 8.80.

Airmate Cayman Stock Forecast Pattern

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Airmate Cayman 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 Airmate Cayman stock data series using in forecasting. Note that when a statistical model is used to represent Airmate Cayman 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 Airmate Cayman International 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 Airmate Cayman

There are currently many different techniques concerning forecasting the market as a whole, as well as predicting future values of individual securities such as Airmate Cayman Inter. 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 9.53 10.95 12.37 Details

Intrinsic Valuation Low Real High 8.50 9.92 11.34 Details

Bollinger Band Projection (param) Low Middle High 10.78 11.11 11.44 Details

Airmate Cayman After-Hype Price Density Analysis

Airmate Cayman Estimiated After-Hype Price Volatility

Airmate Cayman Stock Price Outlook Analysis

Notes

Airmate Cayman Hype Timeline

Airmate Cayman Inter is presently traded for 10.95on Taiwan Stock Exchange of Taiwan. The entity stock is not elastic to its hype. The average elasticity to hype of competition is 0.0. Airmate is anticipated 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 anticipated to be very small, whereas the daily expected return is presently at -0.09%. %. The volatility of related hype on Airmate Cayman is about 0.0%, with the expected price after the next announcement by competition of 10.95. About 44.0% of the company shares are owned by insiders or employees . The company has Price-to-Book (P/B) ratio of 0.74. In the past many companies with similar price-to-book ratios have beat the market. Airmate Cayman Inter last dividend was issued on the 15th of September 2021. The entity had 1000:1050 split on the 5th of September 2023. Assuming the 90 days trading horizon the next anticipated press release will be in 5 to 10 days. Check out Historical Fundamental Analysis of Airmate Cayman to cross-verify your projections.

Airmate Cayman Related Hype Analysis

Other Forecasting Options for Airmate Cayman

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

Airmate Cayman Related Equities

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Airmate Cayman Market Strength Events

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