Red Moon OTC Pink Sheet Forecast - Naive Prediction

REMRF
 Stock
  

USD 1.23  0.03  2.50%   

REMRF OTC Pink Sheet Forecast is based on your current time horizon. Investors can use this forecasting interface to forecast Red Moon historical stock prices and determine the direction of Red Moon Resources's future trends based on various well-known forecasting models. However, solely looking at the historical price movement is usually misleading. Macroaxis recommends to always use this module together with analysis of Red Moon historical fundamentals such as revenue growth or operating cash flow patterns.
Additionally, take a look at Historical Fundamental Analysis of Red Moon to cross-verify your projections.
  
Most investors in Red Moon cannot accurately predict what will happen the next trading day because, historically, stock markets tend to be unpredictable and even illogical. Modeling turbulent structures requires applying different statistical methods, techniques, and algorithms to find hidden data structures or patterns within the Red Moon's time series price data and predict how it will affect future prices. One of these methodologies is forecasting, which interprets Red Moon's price structures and extracts relationships that further increase the generated results' accuracy.
A naive forecasting model for Red Moon is a special case of the moving average forecasting where the number of periods used for smoothing is one. Therefore, the forecast of Red Moon Resources 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.

Red Moon Naive Prediction Price Forecast For the 4th of December

Given 90 days horizon, the Naive Prediction forecasted value of Red Moon Resources on the next trading day is expected to be 1.27 with a mean absolute deviation of 0.08, mean absolute percentage error of 0.011252, and the sum of the absolute errors of 4.76.
Please note that although there have been many attempts to predict REMRF OTC 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 Red Moon's next future price depends linearly on its previous prices and some stochastic term (i.e., imperfectly predictable multiplier).

Red Moon OTC Pink Sheet Forecast Pattern

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Red Moon Forecasted Value

In the context of forecasting Red Moon's OTC 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. Red Moon's downside and upside margins for the forecasting period are 0.0123 and 9.42, respectively. We have considered Red Moon'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 1.23
0.0123
Downside
1.27
Expected Value
9.42
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 Red Moon otc pink sheet data series using in forecasting. Note that when a statistical model is used to represent Red Moon otc 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 Criteria113.6233
BiasArithmetic mean of the errors None
MADMean absolute deviation0.0781
MAPEMean absolute percentage error0.0547
SAESum of the absolute errors4.7619
This model is not at all useful as a medium-long range forecasting tool of Red Moon Resources. 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 Red Moon. 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 Red Moon

There are currently many different techniques concerning forecasting the market as a whole, as well as predicting future values of individual securities such as Red Moon Resources. Regardless of method or technology, however, to accurately forecast the stock or bond market is more a matter of luck rather than a particular technique. Nevertheless, trying to predict the 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.
Sophisticated investors, who have witnessed many market ups and downs, frequently view the market will even out over time. This tendency of Red Moon's price to converge to an average value over time is called mean reversion. However, historically, high market prices usually discourage investors that believe in mean reversion to invest, while low prices are viewed as an opportunity to buy. Please use the tools below to analyze the current value of Red Moon in the context of predictive analytics.
Hype
Prediction
LowEstimated ValueHigh
0.061.239.38
Details
Intrinsic
Valuation
LowReal ValueHigh
0.061.189.33
Details
Please note, it is not enough to conduct a financial or market analysis of a single entity such as Red Moon. Your research has to be compared to or analyzed against Red Moon's peers to derive any actionable benefits. When done correctly, Red Moon's competitive analysis will give you plenty of quantitative and qualitative data to validate your investment decisions or develop an entirely new strategy towards taking a position in Red Moon Resources.

Other Forecasting Options for Red Moon

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

Red Moon 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 Red Moon otc pink sheet to make a market-neutral strategy. Peer analysis of Red Moon could also be used in its relative valuation, which is a method of valuing Red Moon by comparing valuation metrics with similar companies.
Alcoa CorpDupont De NemoursLinde PLCAnheuser Busch InbevEtsy IncAnheuser-Busch InBev SANV3M CompanyJPMorgan ChaseGeneral ElectricBoeingAMN Healthcare ServicesTwist Bioscience CorpFreedom Holding CorpGlobal X NASDAQFRANKLIN MUTUAL EUROPEAN
 Risk & Return  Correlation

Red Moon Resources Technical and Predictive Analytics

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

Red Moon Risk Indicators

The analysis of Red Moon's basic risk indicators is one of the essential steps in helping accuretelly forecast its future price. The process involves identifying the amount of risk involved in Red Moon's investment and either accepting that risk or mitigating it. Along with some funamental techniques of forecasting Red Moon stock price, 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 stock investments, we recommend comparing similar equities with homogenous growth potential and valuation from related markets to determine which investment holds the most risk.

Be your own money manager

Our tools can tell you how much better you can do entering a position in Red Moon without increasing your portfolio risk or giving up the expected return. As an individual investor, you need to find a reliable way to track all your investment portfolios. However, your requirements will often be based on how much of the process you decide to do yourself. In addition to allowing all investors analytical transparency into all their portfolios, our tools can evaluate risk-adjusted returns of your individual positions relative to your overall portfolio.

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Additionally, take a look at Historical Fundamental Analysis of Red Moon to cross-verify your projections. You can also try Probability Of Bankruptcy module to get analysis of equity chance of financial distress in the next 2 years.

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Please note, there is a significant difference between Red Moon's value and its price as these two are different measures arrived at by different means. Investors typically determine Red Moon value by looking at such factors as earnings, sales, fundamental and technical indicators, competition as well as analyst projections. However, Red Moon's price is the amount at which it trades on the open market and represents the number that a seller and buyer find agreeable to each party.