Evolution Stock Forecast - 8 Period Moving Average

EVO Stock  SEK 992.20  8.60  0.87%   
The 8 Period Moving Average forecasted value of Evolution AB on the next trading day is expected to be 989.00 with a mean absolute deviation of 16.29 and the sum of the absolute errors of 863.28. Evolution Stock Forecast is based on your current time horizon.
  
An 8-period moving average forecast model for Evolution is based on an artificially constructed time series of Evolution daily prices in which the value for a trading day is replaced by the mean of that value and the values for 8 of preceding and succeeding time periods. This model is best suited for price series data that changes over time.

Evolution 8 Period Moving Average Price Forecast For the 27th of November

Given 90 days horizon, the 8 Period Moving Average forecasted value of Evolution AB on the next trading day is expected to be 989.00 with a mean absolute deviation of 16.29, mean absolute percentage error of 783.04, and the sum of the absolute errors of 863.28.
Please note that although there have been many attempts to predict Evolution 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 Evolution's next future price depends linearly on its previous prices and some stochastic term (i.e., imperfectly predictable multiplier).

Evolution Stock Forecast Pattern

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Evolution Forecasted Value

In the context of forecasting Evolution'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. Evolution's downside and upside margins for the forecasting period are 986.77 and 991.23, respectively. We have considered Evolution'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
992.20
986.77
Downside
989.00
Expected Value
991.23
Upside

Model Predictive Factors

The below table displays some essential indicators generated by the model showing the 8 Period Moving Average forecasting method's relative quality and the estimations of the prediction error of Evolution stock data series using in forecasting. Note that when a statistical model is used to represent Evolution 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 Criteria110.0707
BiasArithmetic mean of the errors 1.6797
MADMean absolute deviation16.2882
MAPEMean absolute percentage error0.0162
SAESum of the absolute errors863.275
The eieght-period moving average method has an advantage over other forecasting models in that it does smooth out peaks and valleys in a set of daily observations. Evolution AB 8-period moving average forecast can only be used reliably to predict one or two periods into the future.

Predictive Modules for Evolution

There are currently many different techniques concerning forecasting the market as a whole, as well as predicting future values of individual securities such as Evolution AB. 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.
Hype
Prediction
LowEstimatedHigh
989.95992.20994.45
Details
Intrinsic
Valuation
LowRealHigh
922.37924.621,091
Details

Other Forecasting Options for Evolution

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

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

Evolution AB 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 Evolution'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 Evolution's current price.

Evolution Market Strength Events

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

Evolution Risk Indicators

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

Thematic Opportunities

Explore Investment Opportunities

Build portfolios using Macroaxis predefined set of investing ideas. Many of Macroaxis investing ideas can easily outperform a given market. Ideas can also be optimized per your risk profile before portfolio origination is invoked. Macroaxis thematic optimization helps investors identify companies most likely to benefit from changes or shifts in various micro-economic or local macro-level trends. Originating optimal thematic portfolios involves aligning investors' personal views, ideas, and beliefs with their actual investments.
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Additional Tools for Evolution Stock Analysis

When running Evolution's price analysis, check to measure Evolution's market volatility, profitability, liquidity, solvency, efficiency, growth potential, financial leverage, and other vital indicators. We have many different tools that can be utilized to determine how healthy Evolution is operating at the current time. Most of Evolution's value examination focuses on studying past and present price action to predict the probability of Evolution's future price movements. You can analyze the entity against its peers and the financial market as a whole to determine factors that move Evolution's price. Additionally, you may evaluate how the addition of Evolution to your portfolios can decrease your overall portfolio volatility.