Wolfden Resources Pink Sheet Forecast - Polynomial Regression

WLFFF Stock  USD 0.05  0.05  1,175%   
The Polynomial Regression forecasted value of Wolfden Resources on the next trading day is expected to be 0.01 with a mean absolute deviation of 0.01 and the sum of the absolute errors of 0.89. Wolfden Pink Sheet Forecast is based on your current time horizon. We recommend always using this module together with an analysis of Wolfden Resources' historical fundamentals, such as revenue growth or operating cash flow patterns.
  
Wolfden Resources polinomial regression implements a single variable polynomial regression model using the daily prices as the independent variable. The coefficients of the regression for Wolfden Resources as well as the accuracy indicators are determined from the period prices.

Wolfden Resources Polynomial Regression Price Forecast For the 13th of December 2024

Given 90 days horizon, the Polynomial Regression forecasted value of Wolfden Resources on the next trading day is expected to be 0.01 with a mean absolute deviation of 0.01, mean absolute percentage error of 0.0003, and the sum of the absolute errors of 0.89.
Please note that although there have been many attempts to predict Wolfden 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 Wolfden Resources' next future price depends linearly on its previous prices and some stochastic term (i.e., imperfectly predictable multiplier).

Wolfden Resources Pink Sheet Forecast Pattern

Backtest Wolfden ResourcesWolfden Resources Price PredictionBuy or Sell Advice 

Wolfden Resources Forecasted Value

In the context of forecasting Wolfden Resources' 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. Wolfden Resources' downside and upside margins for the forecasting period are 0.0005 and 136.94, respectively. We have considered Wolfden Resources' 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
0.05
0.0005
Downside
0.01
Expected Value
136.94
Upside

Model Predictive Factors

The below table displays some essential indicators generated by the model showing the Polynomial Regression forecasting method's relative quality and the estimations of the prediction error of Wolfden Resources pink sheet data series using in forecasting. Note that when a statistical model is used to represent Wolfden Resources 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 Criteria110.0411
BiasArithmetic mean of the errors None
MADMean absolute deviation0.0146
MAPEMean absolute percentage error1.4165
SAESum of the absolute errors0.8901
A single variable polynomial regression model attempts to put a curve through the Wolfden Resources historical price points. Mathematically, assuming the independent variable is X and the dependent variable is Y, this line can be indicated as: Y = a0 + a1*X + a2*X2 + a3*X3 + ... + am*Xm

Predictive Modules for Wolfden Resources

There are currently many different techniques concerning forecasting the market as a whole, as well as predicting future values of individual securities such as Wolfden Resources. 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
0.000.0552.60
Details
Intrinsic
Valuation
LowRealHigh
0.000.0452.59
Details
Please note, it is not enough to conduct a financial or market analysis of a single entity such as Wolfden Resources. Your research has to be compared to or analyzed against Wolfden Resources' peers to derive any actionable benefits. When done correctly, Wolfden Resources' 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 Wolfden Resources.

Other Forecasting Options for Wolfden Resources

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

View Wolfden Resources Related Equities

 Risk & Return  Correlation

Wolfden Resources 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 Wolfden Resources' 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 Wolfden Resources' current price.

Wolfden Resources Market Strength Events

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

Wolfden Resources Risk Indicators

The analysis of Wolfden Resources' 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 Wolfden Resources' investment and either accepting that risk or mitigating it. Along with some essential techniques for forecasting wolfden 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 Wolfden Pink Sheet

Wolfden Resources financial ratios help investors to determine whether Wolfden 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 Wolfden with respect to the benefits of owning Wolfden Resources security.