Radio Fuels OTC Stock Forecast - Polynomial Regression

CKEFF Stock  USD 0.07  0  1.85%   
The Polynomial Regression forecasted value of Radio Fuels Energy on the next trading day is expected to be 0.05 with a mean absolute deviation of 0.01 and the sum of the absolute errors of 0.36. Radio OTC Stock Forecast is based on your current time horizon. We recommend always using this module together with an analysis of Radio Fuels' historical fundamentals, such as revenue growth or operating cash flow patterns.
  
Radio Fuels polinomial regression implements a single variable polynomial regression model using the daily prices as the independent variable. The coefficients of the regression for Radio Fuels Energy as well as the accuracy indicators are determined from the period prices.

Radio Fuels Polynomial Regression Price Forecast For the 16th of December 2024

Given 90 days horizon, the Polynomial Regression forecasted value of Radio Fuels Energy on the next trading day is expected to be 0.05 with a mean absolute deviation of 0.01, mean absolute percentage error of 0.000053, and the sum of the absolute errors of 0.36.
Please note that although there have been many attempts to predict Radio OTC Stock 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 Radio Fuels' next future price depends linearly on its previous prices and some stochastic term (i.e., imperfectly predictable multiplier).

Radio Fuels OTC Stock Forecast Pattern

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Radio Fuels Forecasted Value

In the context of forecasting Radio Fuels' OTC Stock 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. Radio Fuels' downside and upside margins for the forecasting period are 0.0007 and 9.18, respectively. We have considered Radio Fuels' 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
0.07
0.0007
Downside
0.05
Expected Value
9.18
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 Radio Fuels otc stock data series using in forecasting. Note that when a statistical model is used to represent Radio Fuels otc stock, 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 Criteria108.2659
BiasArithmetic mean of the errors None
MADMean absolute deviation0.0059
MAPEMean absolute percentage error0.075
SAESum of the absolute errors0.3588
A single variable polynomial regression model attempts to put a curve through the Radio Fuels 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 Radio Fuels

There are currently many different techniques concerning forecasting the market as a whole, as well as predicting future values of individual securities such as Radio Fuels Energy. Regardless of method or technology, however, to accurately forecast the otc stock market is more a matter of luck rather than a particular technique. Nevertheless, trying to predict the otc stock 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
0.000.079.27
Details
Intrinsic
Valuation
LowRealHigh
0.000.069.26
Details
Please note, it is not enough to conduct a financial or market analysis of a single entity such as Radio Fuels. Your research has to be compared to or analyzed against Radio Fuels' peers to derive any actionable benefits. When done correctly, Radio Fuels' 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 Radio Fuels Energy.

Other Forecasting Options for Radio Fuels

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

Radio Fuels 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 Radio Fuels otc stock to make a market-neutral strategy. Peer analysis of Radio Fuels could also be used in its relative valuation, which is a method of valuing Radio Fuels by comparing valuation metrics with similar companies.
 Risk & Return  Correlation

Radio Fuels Energy Technical and Predictive Analytics

The otc stock market is financially volatile. Despite the volatility, there exist limitless possibilities of gaining profits and building passive income portfolios. With the complexity of Radio Fuels' 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 Radio Fuels' current price.

Radio Fuels Market Strength Events

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

Radio Fuels Risk Indicators

The analysis of Radio Fuels' 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 Radio Fuels' investment and either accepting that risk or mitigating it. Along with some essential techniques for forecasting radio otc stock 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 Radio OTC Stock

Radio Fuels financial ratios help investors to determine whether Radio OTC Stock 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 Radio with respect to the benefits of owning Radio Fuels security.