SPIE SA Stock Forecast - 8 Period Moving Average

SPIE Stock  EUR 30.54  0.20  0.65%   
The 8 Period Moving Average forecasted value of SPIE SA on the next trading day is expected to be 30.89 with a mean absolute deviation of 0.82 and the sum of the absolute errors of 43.61. SPIE Stock Forecast is based on your current time horizon. Investors can use this forecasting interface to forecast SPIE SA stock prices and determine the direction of SPIE SA's future trends based on various well-known forecasting models. We recommend always using this module together with an analysis of SPIE SA's historical fundamentals, such as revenue growth or operating cash flow patterns.
  
An 8-period moving average forecast model for SPIE SA is based on an artificially constructed time series of SPIE SA 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.

SPIE SA 8 Period Moving Average Price Forecast For the 26th of November

Given 90 days horizon, the 8 Period Moving Average forecasted value of SPIE SA on the next trading day is expected to be 30.89 with a mean absolute deviation of 0.82, mean absolute percentage error of 0.98, and the sum of the absolute errors of 43.61.
Please note that although there have been many attempts to predict SPIE 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 SPIE SA's next future price depends linearly on its previous prices and some stochastic term (i.e., imperfectly predictable multiplier).

SPIE SA Stock Forecast Pattern

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SPIE SA Forecasted Value

In the context of forecasting SPIE SA'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. SPIE SA's downside and upside margins for the forecasting period are 29.24 and 32.54, respectively. We have considered SPIE SA'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
30.54
30.89
Expected Value
32.54
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 SPIE SA stock data series using in forecasting. Note that when a statistical model is used to represent SPIE SA 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 Criteria103.3904
BiasArithmetic mean of the errors 0.4326
MADMean absolute deviation0.8229
MAPEMean absolute percentage error0.0244
SAESum of the absolute errors43.6125
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. SPIE SA 8-period moving average forecast can only be used reliably to predict one or two periods into the future.

Predictive Modules for SPIE SA

There are currently many different techniques concerning forecasting the market as a whole, as well as predicting future values of individual securities such as SPIE SA. 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
28.8930.5432.19
Details
Intrinsic
Valuation
LowRealHigh
30.5032.1533.80
Details
Bollinger
Band Projection (param)
LowMiddleHigh
29.5531.3033.04
Details

Other Forecasting Options for SPIE SA

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

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

SPIE SA 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 SPIE SA'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 SPIE SA's current price.

SPIE SA Market Strength Events

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

SPIE SA Risk Indicators

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

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.

Other Information on Investing in SPIE Stock

SPIE SA financial ratios help investors to determine whether SPIE 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 SPIE with respect to the benefits of owning SPIE SA security.