All American Pink Sheet Forecast - Naive Prediction

The Naive Prediction forecasted value of All American Pet on the next trading day is expected to be 0.000093 with a mean absolute deviation of 0.00000413 and the sum of the absolute errors of 0.0003. All Pink Sheet Forecast is based on your current time horizon.
  
A naive forecasting model for All American is a special case of the moving average forecasting where the number of periods used for smoothing is one. Therefore, the forecast of All American Pet 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.

All American Naive Prediction Price Forecast For the 27th of November

Given 90 days horizon, the Naive Prediction forecasted value of All American Pet on the next trading day is expected to be 0.000093 with a mean absolute deviation of 0.00000413, mean absolute percentage error of 0, and the sum of the absolute errors of 0.0003.
Please note that although there have been many attempts to predict All Pink Sheet prices using its time series forecasting, we generally do not recommend using it to place bets in the real market. The most commonly used models for forecasting predictions are the autoregressive models, which specify that All American's next future price depends linearly on its previous prices and some stochastic term (i.e., imperfectly predictable multiplier).

All American Pink Sheet Forecast Pattern

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All American Forecasted Value

In the context of forecasting All American's Pink Sheet value on the next trading day, we examine the predictive performance of the model to find good statistically significant boundaries of downside and upside scenarios. All American's downside and upside margins for the forecasting period are 0.00 and 12.50, respectively. We have considered All American's daily market price to evaluate the above model's predictive performance. Remember, however, there is no scientific proof or empirical evidence that traditional linear or nonlinear forecasting models outperform artificial intelligence and frequency domain models to provide accurate forecasts consistently.
Market Value
0.00
0.000093
Expected Value
12.50
Upside

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 All American pink sheet data series using in forecasting. Note that when a statistical model is used to represent All American 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.
AICAkaike Information Criteria95.5128
BiasArithmetic mean of the errors None
MADMean absolute deviation0.0
MAPEMean absolute percentage error9.223372036854776E14
SAESum of the absolute errors3.0E-4
This model is not at all useful as a medium-long range forecasting tool of All American Pet. 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 All American. 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 All American

There are currently many different techniques concerning forecasting the market as a whole, as well as predicting future values of individual securities such as All American Pet. 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
LowEstimatedHigh
0.000.0012.60
Details
Intrinsic
Valuation
LowRealHigh
0.000.0012.60
Details

Other Forecasting Options for All American

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

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All American Pet Technical and Predictive Analytics

The pink sheet market is financially volatile. Despite the volatility, there exist limitless possibilities of gaining profits and building passive income portfolios. With the complexity of All American's price movements, a comprehensive understanding of forecasting methods that an investor can rely on to make the right move is invaluable. These methods predict trends that assist an investor in predicting the movement of All American's current price.

Thematic Opportunities

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Additional Tools for All Pink Sheet Analysis

When running All American's price analysis, check to measure All American's market volatility, profitability, liquidity, solvency, efficiency, growth potential, financial leverage, and other vital indicators. We have many different tools that can be utilized to determine how healthy All American is operating at the current time. Most of All American's value examination focuses on studying past and present price action to predict the probability of All American's future price movements. You can analyze the entity against its peers and the financial market as a whole to determine factors that move All American's price. Additionally, you may evaluate how the addition of All American to your portfolios can decrease your overall portfolio volatility.