Surge Components Pink Sheet Forecast - Naive Prediction

Surge Components Additional Predictive Modules

Most predictive techniques to examine Surge price help traders to determine how to time the market. We provide a combination of tools to recognize potential entry and exit points for Surge using various technical indicators. When you analyze Surge 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. A naive forecasting model for Surge Components is a special case of the moving average forecasting where the number of periods used for smoothing is one. Therefore, the forecast of Surge Components value for a given trading day is simply the observed value for the previous period. Due to the simplistic nature of the naive forecasting model, it can only be used to forecast up to one period.

Surge Components Naive Prediction Price Forecast For the 27th of January

Given 90 days horizon, the Naive Prediction forecasted value of Surge Components on the next trading day is expected to be 3.37 with a mean absolute deviation of 0.06, mean absolute percentage error of 0.01, and the sum of the absolute errors of 3.92.

Surge Components Pink Sheet Forecast Pattern

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Surge Components Price Prediction

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Surge Components Forecasted Value

Model Predictive Factors

The below table displays some essential indicators generated by the model showing the Naive Prediction forecasting method's relative quality and the estimations of the prediction error of Surge Components pink sheet data series using in forecasting. Note that when a statistical model is used to represent Surge Components 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. This model is not at all useful as a medium-long range forecasting tool of Surge Components. This model is simplistic and is included partly for completeness and partly because of its simplicity. It is unlikely that you'll want to use this model directly to predict Surge Components. Instead, consider using either the moving average model or the more general weighted moving average model with a higher (i.e., greater than 1) number of periods, and possibly a different set of weights.

Predictive Modules for Surge Components

There are currently many different techniques concerning forecasting the market as a whole, as well as predicting future values of individual securities such as Surge Components. 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 0.17 3.34 7.11 Details

Intrinsic Valuation Low Real High 0.16 3.23 7.00 Details

Bollinger Band Projection (param) Low Middle High 3.06 3.26 3.47 Details

Surge Components After-Hype Price Density Analysis

Surge Components Estimiated After-Hype Price Volatility

Surge Components Pink Sheet Price Outlook Analysis

Notes

Surge Components Hype Timeline

Surge Components is at this time traded for 3.34. The entity has historical hype elasticity of 1.88, and average elasticity to hype of competition of 0.48. Surge is projected not to react to the next headline, with the price staying at about the same level, and average media hype impact volatility is about 31.99%. The immediate return on the next news is projected to be very small, whereas the daily expected return is at this time at 0.32%. %. The volatility of related hype on Surge Components is about 251.84%, with the expected price after the next announcement by competition of 3.82. About 47.0% of the company outstanding shares are owned by corporate insiders. The company has price-to-book ratio of 1.09. Typically companies with comparable Price to Book (P/B) are able to outperform the market in the long run. Surge Components had not issued any dividends in recent years. Given the investment horizon of 90 days the next projected press release will be in about 6 days. Check out Historical Fundamental Analysis of Surge Components to cross-verify your projections.

Surge Components Related Hype Analysis

Other Forecasting Options for Surge Components

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

Surge Components Related Equities

Risk & Return

Correlation

Surge Components Market Strength Events

Surge Components Risk Indicators

Story Coverage note for Surge Components

Other Macroaxis Stories

Surge Components Short Properties

Additional Tools for Surge Pink Sheet Analysis