Active Health Pink Sheet Forecast - Naive Prediction

AHFD Stock  USD 0.0001  0.00  0.00%   
The Naive Prediction forecasted value of Active Health Foods on the next trading day is expected to be 0.00009 with a mean absolute deviation of 0.000021 and the sum of the absolute errors of 0. Active Pink Sheet Forecast is based on your current time horizon. Investors can use this forecasting interface to forecast Active Health stock prices and determine the direction of Active Health Foods's future trends based on various well-known forecasting models. We recommend always using this module together with an analysis of Active Health's historical fundamentals, such as revenue growth or operating cash flow patterns.
  
A naive forecasting model for Active Health is a special case of the moving average forecasting where the number of periods used for smoothing is one. Therefore, the forecast of Active Health 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.

Active Health Naive Prediction Price Forecast For the 24th of November

Given 90 days horizon, the Naive Prediction forecasted value of Active Health Foods on the next trading day is expected to be 0.00009 with a mean absolute deviation of 0.000021, mean absolute percentage error of 0, and the sum of the absolute errors of 0.
Please note that although there have been many attempts to predict Active 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 Active Health's next future price depends linearly on its previous prices and some stochastic term (i.e., imperfectly predictable multiplier).

Active Health Pink Sheet Forecast Pattern

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Active Health Forecasted Value

In the context of forecasting Active Health'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. Active Health's downside and upside margins for the forecasting period are 0.000001 and 8.33, respectively. We have considered Active Health'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
0.0001
0.000001
Downside
0.00009
Expected Value
8.33
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 Active Health pink sheet data series using in forecasting. Note that when a statistical model is used to represent Active Health 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 Criteria99.2449
BiasArithmetic mean of the errors None
MADMean absolute deviation0.0
MAPEMean absolute percentage error0.1342
SAESum of the absolute errors0.0013
This model is not at all useful as a medium-long range forecasting tool of Active Health 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 Active Health. 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 Active Health

There are currently many different techniques concerning forecasting the market as a whole, as well as predicting future values of individual securities such as Active Health 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
LowEstimatedHigh
0.000.0014.91
Details
Intrinsic
Valuation
LowRealHigh
0.000.0014.91
Details
Bollinger
Band Projection (param)
LowMiddleHigh
0.0000670.0000670.000067
Details
Please note, it is not enough to conduct a financial or market analysis of a single entity such as Active Health. Your research has to be compared to or analyzed against Active Health's peers to derive any actionable benefits. When done correctly, Active Health'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 Active Health Foods.

Other Forecasting Options for Active Health

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

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 Risk & Return  Correlation

Active Health Foods 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 Active Health'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 Active Health's current price.

Active Health Market Strength Events

Market strength indicators help investors to evaluate how Active Health pink sheet reacts to ongoing and evolving market conditions. The investors can use it to make informed decisions about market timing, and determine when trading Active Health shares will generate the highest return on investment. By undertsting and applying Active Health pink sheet market strength indicators, traders can identify Active Health Foods entry and exit signals to maximize returns.

Active Health Risk Indicators

The analysis of Active Health's basic risk indicators is one of the essential steps in accurately forecasting its future price. The process involves identifying the amount of risk involved in Active Health's investment and either accepting that risk or mitigating it. Along with some essential techniques for forecasting active pink sheet prices, we also provide a set of basic risk indicators that can assist in the individual investment decision or help in hedging the risk of your existing portfolios.
Please note, the risk measures we provide can be used independently or collectively to perform a risk assessment. When comparing two potential investments, we recommend comparing similar equities with homogenous growth potential and valuation from related markets to determine which investment holds the most risk.

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Other Information on Investing in Active Pink Sheet

Active Health financial ratios help investors to determine whether Active Pink Sheet is cheap or expensive when compared to a particular measure, such as profits or enterprise value. In other words, they help investors to determine the cost of investment in Active with respect to the benefits of owning Active Health security.