EM Crypto Coin Forecast - Simple Moving Average

EM Crypto  USD 0.00008  0.00  0.00%   
The Simple Moving Average forecasted value of EM on the next trading day is expected to be 0.00008 with a mean absolute deviation of 0.00 and the sum of the absolute errors of 0.00. EM Crypto Coin Forecast is based on your current time horizon. Investors can use this forecasting interface to forecast EM crypto prices and determine the direction of EM's future trends based on various well-known forecasting models. We recommend always using this module together with an analysis of EM's historical fundamentals, such as revenue growth or operating cash flow patterns.
  
A two period moving average forecast for EM is based on an daily price series in which the stock price on a given day is replaced by the mean of that price and the preceding price. This model is best suited to price patterns experiencing average volatility.

EM Simple Moving Average Price Forecast For the 11th of November 2024

Given 90 days horizon, the Simple Moving Average forecasted value of EM on the next trading day is expected to be 0.00008 with a mean absolute deviation of 0.00, mean absolute percentage error of 0.00, and the sum of the absolute errors of 0.00.
Please note that although there have been many attempts to predict EM Crypto Coin 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 EM's next future price depends linearly on its previous prices and some stochastic term (i.e., imperfectly predictable multiplier).

EM Crypto Coin Forecast Pattern

EM Forecasted Value

In the context of forecasting EM's Crypto Coin 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. EM's downside and upside margins for the forecasting period are 0.00008 and 0.00008, respectively. We have considered EM'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
0.00008
0.00008
Downside
0.00008
Expected Value
0.00008
Upside

Model Predictive Factors

The below table displays some essential indicators generated by the model showing the Simple Moving Average forecasting method's relative quality and the estimations of the prediction error of EM crypto coin data series using in forecasting. Note that when a statistical model is used to represent EM crypto coin, 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 Criteria-9.223372036854776E14
BiasArithmetic mean of the errors None
MADMean absolute deviation0.0
MAPEMean absolute percentage error0.0
SAESum of the absolute errors0.0
The simple moving average model is conceptually a linear regression of the current value of EM price series against current and previous (unobserved) value of EM. In time series analysis, the simple moving-average model is a very common approach for modeling univariate price series models including forecasting prices into the future

Predictive Modules for EM

There are currently many different techniques concerning forecasting the market as a whole, as well as predicting future values of individual securities such as EM. Regardless of method or technology, however, to accurately forecast the crypto coin market is more a matter of luck rather than a particular technique. Nevertheless, trying to predict the crypto coin 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 EM'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
0.000.000080.00
Details
Intrinsic
Valuation
LowRealHigh
0.000.0000670.00
Details

Other Forecasting Options for EM

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

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

EM Technical and Predictive Analytics

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

EM Market Strength Events

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

Also Currently Popular

Analyzing currently trending equities could be an opportunity to develop a better portfolio based on different market momentums that they can trigger. Utilizing the top trending stocks is also useful when creating a market-neutral strategy or pair trading technique involving a short or a long position in a currently trending equity.
When determining whether EM offers a strong return on investment in its stock, a comprehensive analysis is essential. The process typically begins with a thorough review of EM's financial statements, including income statements, balance sheets, and cash flow statements, to assess its financial health. Key financial ratios are used to gauge profitability, efficiency, and growth potential of Em Crypto.
Check out Historical Fundamental Analysis of EM to cross-verify your projections.
You can also try the Odds Of Bankruptcy module to get analysis of equity chance of financial distress in the next 2 years.
Please note, there is a significant difference between EM's coin value and its market price as these two are different measures arrived at by different means. Cryptocurrency investors typically determine EM value by looking at such factors as its true mass adoption, usability, application, safety as well as its ability to resist fraud and manipulation. On the other hand, EM's price is the amount at which it trades on the cryptocurrency exchange or other digital marketplace that truly represents its supply and demand.