Maple Leaf Pink Sheet Forecast - Naive Prediction

Maple Leaf Additional Predictive Modules

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

Maple Leaf Naive Prediction Price Forecast For the 24th of January

Given 90 days horizon, the Naive Prediction forecasted value of Maple Leaf Foods on the next trading day is expected to be 19.44 with a mean absolute deviation of 0.30, mean absolute percentage error of 0.13, and the sum of the absolute errors of 18.84.

Maple Leaf Pink Sheet Forecast Pattern

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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 Maple Leaf pink sheet data series using in forecasting. Note that when a statistical model is used to represent Maple Leaf 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 Maple Leaf Foods. 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 Maple Leaf. 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 Maple Leaf

There are currently many different techniques concerning forecasting the market as a whole, as well as predicting future values of individual securities such as Maple Leaf Foods. 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 16.67 18.62 20.57 Details

Intrinsic Valuation Low Real High 16.45 18.39 20.35 Details

Bollinger Band Projection (param) Low Middle High 17.36 18.20 19.03 Details

Maple Leaf After-Hype Price Prediction Density Analysis

Maple Leaf Estimiated After-Hype Price Volatility

Maple Leaf Pink Sheet Price Prediction Analysis

Maple Leaf Hype Timeline

Maple Leaf Foods is now traded for 18.62. The entity stock is not elastic to its hype. The average elasticity to hype of competition is 0.0. Maple is estimated 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 estimated to be very small, whereas the daily expected return is now at -0.06%. %. The volatility of related hype on Maple Leaf is about 0.0%, with the expected price after the next announcement by competition of 18.62. About 40.0% of the company outstanding shares are owned by corporate insiders. The company has price-to-book ratio of 1.68. Typically companies with comparable Price to Book (P/B) are able to outperform the market in the long run. Maple Leaf Foods last dividend was issued on the 7th of December 2022. Assuming the 90 days horizon the next estimated press release will be uncertain. Check out Historical Fundamental Analysis of Maple Leaf to cross-verify your projections.

Maple Leaf Related Hype Analysis

Other Forecasting Options for Maple Leaf

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

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