Sopra Steria Pink Sheet Forecast - Triple Exponential Smoothing
| SPSAF Stock | USD 238.27 0.00 0.00% |
The Triple Exponential Smoothing forecasted value of Sopra Steria Group on the next trading day is expected to be 238.27 with a mean absolute deviation of 0.31 and the sum of the absolute errors of 18.27. Sopra Pink Sheet Forecast is based on your current time horizon. Investors can use this forecasting interface to forecast Sopra Steria stock prices and determine the direction of Sopra Steria Group's future trends based on various well-known forecasting models. We recommend always using this module together with an analysis of Sopra Steria's historical fundamentals, such as revenue growth or operating cash flow patterns.
Check out Historical Fundamental Analysis of Sopra Steria to cross-verify your projections. Sopra |
Most investors in Sopra Steria 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 Sopra Steria's time series price data and predict how it will affect future prices. One of these methodologies is forecasting, which interprets Sopra Steria's price structures and extracts relationships that further increase the generated results' accuracy.
Triple exponential smoothing for Sopra Steria - also known as the Winters method - is a refinement of the popular double exponential smoothing model with the addition of periodicity (seasonality) component. Simple exponential smoothing technique works best with data where there are no trend or seasonality components to the data. When Sopra Steria prices exhibit either an increasing or decreasing trend over time, simple exponential smoothing forecasts tend to lag behind observations. Double exponential smoothing is designed to address this type of data series by taking into account any trend in Sopra Steria price movement. However, neither of these exponential smoothing models address any seasonality of Sopra Steria Group. Sopra Steria Triple Exponential Smoothing Price Forecast For the 2nd of May
Given 90 days horizon, the Triple Exponential Smoothing forecasted value of Sopra Steria Group on the next trading day is expected to be 238.27 with a mean absolute deviation of 0.31, mean absolute percentage error of 5.66, and the sum of the absolute errors of 18.27.Please note that although there have been many attempts to predict Sopra 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 Sopra Steria's next future price depends linearly on its previous prices and some stochastic term (i.e., imperfectly predictable multiplier).
Sopra Steria Pink Sheet Forecast Pattern
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Sopra Steria Forecasted Value
In the context of forecasting Sopra Steria's 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. Sopra Steria's downside and upside margins for the forecasting period are 237.06 and 239.48, respectively. We have considered Sopra Steria'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.
Model Predictive Factors
The below table displays some essential indicators generated by the model showing the Triple Exponential Smoothing forecasting method's relative quality and the estimations of the prediction error of Sopra Steria pink sheet data series using in forecasting. Note that when a statistical model is used to represent Sopra Steria 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.| AIC | Akaike Information Criteria | Huge |
| Bias | Arithmetic mean of the errors | -0.3097 |
| MAD | Mean absolute deviation | 0.3097 |
| MAPE | Mean absolute percentage error | 0.0013 |
| SAE | Sum of the absolute errors | 18.27 |
Predictive Modules for Sopra Steria
There are currently many different techniques concerning forecasting the market as a whole, as well as predicting future values of individual securities such as Sopra Steria Group. Regardless of method or technology, however, to accurately forecast the pink sheet market is more a matter of luck rather than a particular technique. Nevertheless, trying to predict the pink sheet 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 Sopra Steria'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.
Other Forecasting Options for Sopra Steria
For every potential investor in Sopra, whether a beginner or expert, Sopra Steria's price movement is the inherent factor that sparks whether it is viable to invest in it or hold it better. Sopra Pink Sheet price charts are filled with many 'noises.' These noises can hugely alter the decision one can make regarding investing in Sopra. Basic forecasting techniques help filter out the noise by identifying Sopra Steria's price trends.Sopra Steria 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 Sopra Steria pink sheet to make a market-neutral strategy. Peer analysis of Sopra Steria could also be used in its relative valuation, which is a method of valuing Sopra Steria by comparing valuation metrics with similar companies.
| Risk & Return | Correlation |
Sopra Steria Group Technical and Predictive Analytics
The pink sheet market is financially volatile. Despite the volatility, there exist limitless possibilities of gaining profits and building passive income portfolios. With the complexity of Sopra Steria'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 Sopra Steria's current price.| Cycle Indicators | ||
| Math Operators | ||
| Math Transform | ||
| Momentum Indicators | ||
| Overlap Studies | ||
| Pattern Recognition | ||
| Price Transform | ||
| Statistic Functions | ||
| Volatility Indicators | ||
| Volume Indicators |
Sopra Steria Market Strength Events
Market strength indicators help investors to evaluate how Sopra Steria pink sheet reacts to ongoing and evolving market conditions. The investors can use it to make informed decisions about market timing, and determine when trading Sopra Steria shares will generate the highest return on investment. By undertsting and applying Sopra Steria pink sheet market strength indicators, traders can identify Sopra Steria Group entry and exit signals to maximize returns.
| Rate Of Daily Change | 1.0 | |||
| Day Median Price | 238.27 | |||
| Day Typical Price | 238.27 |
Sopra Steria Risk Indicators
The analysis of Sopra Steria'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 Sopra Steria's investment and either accepting that risk or mitigating it. Along with some essential techniques for forecasting sopra pink sheet 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.
| Mean Deviation | 0.384 | |||
| Standard Deviation | 1.17 | |||
| Variance | 1.37 |
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
Check out Historical Fundamental Analysis of Sopra Steria to cross-verify your projections. Note that the Sopra Steria Group information on this page should be used as a complementary analysis to other Sopra Steria's statistical models used to find the right mix of equity instruments to add to your existing portfolios or create a brand new portfolio. You can also try the Fundamental Analysis module to view fundamental data based on most recent published financial statements.
Complementary Tools for Sopra Pink Sheet analysis
When running Sopra Steria's price analysis, check to measure Sopra Steria'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 Sopra Steria is operating at the current time. Most of Sopra Steria's value examination focuses on studying past and present price action to predict the probability of Sopra Steria's future price movements. You can analyze the entity against its peers and the financial market as a whole to determine factors that move Sopra Steria's price. Additionally, you may evaluate how the addition of Sopra Steria to your portfolios can decrease your overall portfolio volatility.
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