Prairie Provident Pink Sheet Forecast - Triple Exponential Smoothing

PRPRF Stock  USD 0.02  0  8.19%   
The Triple Exponential Smoothing forecasted value of Prairie Provident Resources on the next trading day is expected to be 0.02 with a mean absolute deviation of 0 and the sum of the absolute errors of 0.12. Prairie Pink Sheet Forecast is based on your current time horizon. We recommend always using this module together with an analysis of Prairie Provident's historical fundamentals, such as revenue growth or operating cash flow patterns.
  
Triple exponential smoothing for Prairie Provident - also known as the Winters method - is a refinement of the popular double exponential smoothing model with the addition of periodicity (seasonality) component. Simple exponential smoothing technique works best with data where there are no trend or seasonality components to the data. When Prairie Provident prices exhibit either an increasing or decreasing trend over time, simple exponential smoothing forecasts tend to lag behind observations. Double exponential smoothing is designed to address this type of data series by taking into account any trend in Prairie Provident price movement. However, neither of these exponential smoothing models address any seasonality of Prairie Provident.

Prairie Provident Triple Exponential Smoothing Price Forecast For the 12th of December 2024

Given 90 days horizon, the Triple Exponential Smoothing forecasted value of Prairie Provident Resources on the next trading day is expected to be 0.02 with a mean absolute deviation of 0, mean absolute percentage error of 0.000011, and the sum of the absolute errors of 0.12.
Please note that although there have been many attempts to predict Prairie 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 Prairie Provident's next future price depends linearly on its previous prices and some stochastic term (i.e., imperfectly predictable multiplier).

Prairie Provident Pink Sheet Forecast Pattern

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Prairie Provident Forecasted Value

In the context of forecasting Prairie Provident'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. Prairie Provident's downside and upside margins for the forecasting period are 0.0002 and 13.49, respectively. We have considered Prairie Provident'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
0.02
0.0002
Downside
0.02
Expected Value
13.49
Upside

Model Predictive Factors

The below table displays some essential indicators generated by the model showing the Triple Exponential Smoothing forecasting method's relative quality and the estimations of the prediction error of Prairie Provident pink sheet data series using in forecasting. Note that when a statistical model is used to represent Prairie Provident 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 CriteriaHuge
BiasArithmetic mean of the errors 4.0E-4
MADMean absolute deviation0.0021
MAPEMean absolute percentage error0.0859
SAESum of the absolute errors0.1235
As with simple exponential smoothing, in triple exponential smoothing models past Prairie Provident observations are given exponentially smaller weights as the observations get older. In other words, recent observations are given relatively more weight in forecasting than the older Prairie Provident Resources observations.

Predictive Modules for Prairie Provident

There are currently many different techniques concerning forecasting the market as a whole, as well as predicting future values of individual securities such as Prairie Provident. 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
0.000.0213.39
Details
Intrinsic
Valuation
LowRealHigh
0.000.0213.39
Details

Other Forecasting Options for Prairie Provident

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

Prairie Provident Related Equities

One of the popular trading techniques among algorithmic traders is to use market-neutral strategies where every trade hedges away some risk. Because there are two separate transactions required, even if one position performs unexpectedly, the other equity can make up some of the losses. Below are some of the equities that can be combined with Prairie Provident pink sheet to make a market-neutral strategy. Peer analysis of Prairie Provident could also be used in its relative valuation, which is a method of valuing Prairie Provident by comparing valuation metrics with similar companies.
 Risk & Return  Correlation

Prairie Provident 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 Prairie Provident'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 Prairie Provident's current price.

Prairie Provident Market Strength Events

Market strength indicators help investors to evaluate how Prairie Provident 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 Prairie Provident shares will generate the highest return on investment. By undertsting and applying Prairie Provident pink sheet market strength indicators, traders can identify Prairie Provident Resources entry and exit signals to maximize returns.

Prairie Provident Risk Indicators

The analysis of Prairie Provident'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 Prairie Provident's investment and either accepting that risk or mitigating it. Along with some essential techniques for forecasting prairie 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.

Currently Active Assets on Macroaxis

Other Information on Investing in Prairie Pink Sheet

Prairie Provident financial ratios help investors to determine whether Prairie 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 Prairie with respect to the benefits of owning Prairie Provident security.