Rocky Mountain Stock Forecast - Naive Prediction

RMCF Stock  USD 3.10  0.24  8.39%   
The Naive Prediction forecasted value of Rocky Mountain Chocolate on the next trading day is expected to be 3.23 with a mean absolute deviation of 0.09 and the sum of the absolute errors of 5.43. Rocky Stock Forecast is based on your current time horizon. We recommend always using this module together with an analysis of Rocky Mountain's historical fundamentals, such as revenue growth or operating cash flow patterns.
  
At this time, Rocky Mountain's Asset Turnover is most likely to slightly decrease in the upcoming years. . The current Common Stock Shares Outstanding is estimated to decrease to about 5.3 M. The current Net Income Applicable To Common Shares is estimated to decrease to about 883.9 K.

Rocky Mountain Cash Forecast

Predicting cash flow or other financial metrics requires analysts to utilize a variety of statistical methods, techniques, and algorithms. These tools help uncover hidden patterns in the Rocky Mountain's financial statements, enabling forecasts of their impact on future stock prices.
 
Cash  
First Reported
1989-02-28
Previous Quarter
637 K
Current Value
973 K
Quarterly Volatility
2.5 M
 
Oil Shock
 
Dot-com Bubble
 
Housing Crash
 
Credit Downgrade
 
Yuan Drop
 
Covid
A naive forecasting model for Rocky Mountain is a special case of the moving average forecasting where the number of periods used for smoothing is one. Therefore, the forecast of Rocky Mountain Chocolate 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.

Rocky Mountain Naive Prediction Price Forecast For the 5th of December

Given 90 days horizon, the Naive Prediction forecasted value of Rocky Mountain Chocolate on the next trading day is expected to be 3.23 with a mean absolute deviation of 0.09, mean absolute percentage error of 0.02, and the sum of the absolute errors of 5.43.
Please note that although there have been many attempts to predict Rocky 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 Rocky Mountain's next future price depends linearly on its previous prices and some stochastic term (i.e., imperfectly predictable multiplier).

Rocky Mountain Stock Forecast Pattern

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Rocky Mountain Forecasted Value

In the context of forecasting Rocky Mountain's 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. Rocky Mountain's downside and upside margins for the forecasting period are 0.03 and 7.62, respectively. We have considered Rocky Mountain'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
3.10
3.23
Expected Value
7.62
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 Rocky Mountain stock data series using in forecasting. Note that when a statistical model is used to represent Rocky Mountain 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 Criteria114.1805
BiasArithmetic mean of the errors None
MADMean absolute deviation0.0891
MAPEMean absolute percentage error0.0359
SAESum of the absolute errors5.4322
This model is not at all useful as a medium-long range forecasting tool of Rocky Mountain Chocolate. 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 Rocky Mountain. 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 Rocky Mountain

There are currently many different techniques concerning forecasting the market as a whole, as well as predicting future values of individual securities such as Rocky Mountain Chocolate. Regardless of method or technology, however, to accurately forecast the stock 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, anticipate that the market will even out over time. This tendency of Rocky Mountain'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.
Hype
Prediction
LowEstimatedHigh
0.152.947.33
Details
Intrinsic
Valuation
LowRealHigh
2.216.6010.99
Details
0 Analysts
Consensus
LowTargetHigh
16.3818.0019.98
Details

Other Forecasting Options for Rocky Mountain

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

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

Rocky Mountain Chocolate 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 Rocky Mountain'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 Rocky Mountain's current price.

Rocky Mountain Market Strength Events

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

Rocky Mountain Risk Indicators

The analysis of Rocky Mountain'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 Rocky Mountain's investment and either accepting that risk or mitigating it. Along with some essential techniques for forecasting rocky 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.

Currently Active Assets on Macroaxis

When determining whether Rocky Mountain Chocolate is a strong investment it is important to analyze Rocky Mountain's competitive position within its industry, examining market share, product or service uniqueness, and competitive advantages. Beyond financials and market position, potential investors should also consider broader economic conditions, industry trends, and any regulatory or geopolitical factors that may impact Rocky Mountain's future performance. For an informed investment choice regarding Rocky Stock, refer to the following important reports:
Check out Historical Fundamental Analysis of Rocky Mountain to cross-verify your projections.
You can also try the Sync Your Broker module to sync your existing holdings, watchlists, positions or portfolios from thousands of online brokerage services, banks, investment account aggregators and robo-advisors..
Is Packaged Foods & Meats space expected to grow? Or is there an opportunity to expand the business' product line in the future? Factors like these will boost the valuation of Rocky Mountain. If investors know Rocky will grow in the future, the company's valuation will be higher. The financial industry is built on trying to define current growth potential and future valuation accurately. All the valuation information about Rocky Mountain listed above have to be considered, but the key to understanding future value is determining which factors weigh more heavily than others.
Quarterly Earnings Growth
(0.86)
Earnings Share
(0.74)
Revenue Per Share
4.331
Quarterly Revenue Growth
(0.03)
Return On Assets
(0.11)
The market value of Rocky Mountain Chocolate is measured differently than its book value, which is the value of Rocky that is recorded on the company's balance sheet. Investors also form their own opinion of Rocky Mountain's value that differs from its market value or its book value, called intrinsic value, which is Rocky Mountain's true underlying value. Investors use various methods to calculate intrinsic value and buy a stock when its market value falls below its intrinsic value. Because Rocky Mountain's market value can be influenced by many factors that don't directly affect Rocky Mountain's underlying business (such as a pandemic or basic market pessimism), market value can vary widely from intrinsic value.
Please note, there is a significant difference between Rocky Mountain's value and its price as these two are different measures arrived at by different means. Investors typically determine if Rocky Mountain is a good investment by looking at such factors as earnings, sales, fundamental and technical indicators, competition as well as analyst projections. However, Rocky Mountain'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.