Gan Stock Forecast - Naive Prediction

Gan Additional Predictive Modules

Most predictive techniques to examine Gan price help traders to determine how to time the market. We provide a combination of tools to recognize potential entry and exit points for Gan using various technical indicators. When you analyze Gan 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 Gan is a special case of the moving average forecasting where the number of periods used for smoothing is one. Therefore, the forecast of Gan 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.

Gan Naive Prediction Price Forecast For the 27th of January

Given 90 days horizon, the Naive Prediction forecasted value of Gan on the next trading day is expected to be 1.98 with a mean absolute deviation of 0.01, mean absolute percentage error of 0.0003, and the sum of the absolute errors of 0.88.

Gan Stock Forecast Pattern

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Gan Price Prediction

Buy or Sell Advice

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 Gan stock data series using in forecasting. Note that when a statistical model is used to represent Gan 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. This model is not at all useful as a medium-long range forecasting tool of Gan. 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 Gan. 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 Gan

There are currently many different techniques concerning forecasting the market as a whole, as well as predicting future values of individual securities such as Gan. 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 1.97 1.97 1.97 Details

Intrinsic Valuation Low Real High 1.62 1.62 2.17 Details

Bollinger Band Projection (param) Low Middle High 1.70 1.84 1.99 Details

Please note, it is not enough to conduct a financial or market analysis of a single entity such as Gan. Your research has to be compared to or analyzed against Gan's peers to derive any actionable benefits. When done correctly, Gan's competitive analysis will give you plenty of quantitative and qualitative data to validate your investment decisions or develop an entirely new strategy toward taking a position in Gan.

Gan After-Hype Price Density Analysis

Gan Estimiated After-Hype Price Volatility

Gan Stock Price Outlook Analysis

Notes

Gan Hype Timeline

On the 26th of January Gan is traded for 1.97. The entity stock is not elastic to its hype. The average elasticity to hype of competition is 0.0. Gan 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 currently at 0.0%. %. The volatility of related hype on Gan is about 0.0%, with the expected price after the next announcement by competition of 1.97. About 32.0% of the company shares are owned by institutional investors. The company has price-to-book (P/B) ratio of 0.42. Some equities with similar Price to Book (P/B) outperform the market in the long run. Gan recorded a loss per share of 0.24. The entity had not issued any dividends in recent years. The firm had 1:4 split on the 4th of May 2020. Considering the 90-day investment horizon the next forecasted press release will be in about 3 days. Check out Risk vs Return Analysis to better understand how to build diversified portfolios. Also, note that the market value of any company could be closely tied with the direction of predictive economic indicators such as signals in nation.

Gan Related Hype Analysis

Gan Related Equities

Risk & Return

Correlation

Gan Market Strength Events

Gan Risk Indicators

Story Coverage note for Gan

Gan Short Properties

Other Consideration for investing in Gan Stock