Sopra Steria (France) Price on June 13, 2023

SOP Stock  EUR 168.00  0.60  0.36%   
If you're considering investing in Sopra Stock, it is important to understand the factors that can impact its price. As of today, the current price of Sopra Steria stands at 168.00, as last reported on the 28th of December, with the highest price reaching 169.90 and the lowest price hitting 167.20 during the day. Sopra Steria Group owns Efficiency Ratio (i.e., Sharpe Ratio) of -0.076, which indicates the firm had a -0.076% return per unit of risk over the last 3 months. Sopra Steria Group exposes twenty-three different technical indicators, which can help you to evaluate volatility embedded in its price movement. Please validate Sopra Steria's Coefficient Of Variation of (1,371), risk adjusted performance of (0.05), and Variance of 4.61 to confirm the risk estimate we provide.
  
Sopra Stock price history is provided at the adjusted basis, taking into account all of the recent filings.

Sharpe Ratio = -0.076

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Estimated Market Risk

 2.1
  actual daily
18
82% of assets are more volatile

Expected Return

 -0.16
  actual daily
0
Most of other assets have higher returns

Risk-Adjusted Return

 -0.08
  actual daily
0
Most of other assets perform better
Based on monthly moving average Sopra Steria is not performing at its full potential. However, if added to a well diversified portfolio the total return can be enhanced and market risk can be reduced. You can increase risk-adjusted return of Sopra Steria by adding Sopra Steria to a well-diversified portfolio.

Sopra Steria Valuation on June 13, 2023

It is possible to determine the worth of Sopra Steria on a given historical date. On June 13, 2023 Sopra was worth 175.49 at the beginning of the trading date compared to the closed value of 176.96. We use multiple weighted factors in our valuation methodologies to arrive at the intrinsic value of Sopra Steria stock. Still, in general, we apply an absolute valuation method to find Sopra Steria's value based on its fundamental and technical indicators available within our service. As compared to an absolute model, our relative valuation model uses a comparative analysis of Sopra Steria where we calculate exposure to its market risk and evaluate relevant financial multiples and ratios against Sopra Steria's related companies.
 Open High Low Close Volume
  170.79    173.14    170.30    172.94    17,357  
06/13/2023
  175.49    178.13    174.80    176.96    32,709  
  176.76    179.80    176.27    179.60    37,896  
Backtest Sopra Steria  |  Sopra Steria History  |  Sopra Steria Valuation   PreviousNext  
Open Value
175.49
169.20
Downside
176.96
Closing Value
181.78
Upside

Sopra Steria Trading Date Momentum on June 13, 2023

On June 14 2023 Sopra Steria Group was traded for  179.60  at the closing time. The maximum traded price for the trading interval was 179.80  and the lowest daily price was  176.27 . The daily volume was recorded at 37.9 K. The volume of trading on 14th of June 2023 played a part in the next trading day price jump. The trading price change to the next closing price was 1.49% . The trading price change to the closing price today is 0.61% .

Sopra Steria Group Fundamentals Correlations and Trends

By evaluating Sopra Steria's financials over time, investors can gain insight into future company performance. However, you can also analyze the published financial statements to find patterns among Sopra Steria's main balance sheet or income statement drivers and many other relevant indicators that can statistically be found significantly correlated or uncorrelated. Sopra financial account trend analysis is a perfect complement when working with valuation or volatility modules.

About Sopra Steria Stock history

Sopra Steria investors dedicate a lot of time and effort to gaining insight into how a market's past behavior relates to its future. Access to timely market data for Sopra is vital when making an investment decision, and regardless of whether you use fundamental or technical analysis, your return on investment in Sopra Steria Group will depend on recognizing future opportunities and eliminating past mistakes. Historical data analysis is the study of market behavior over a given time. Recorded market-related data such as price, volatility, and volume can be quantified and studied over a defined period. Through a detailed examination of a market's past behavior, traders and investors can gain perspective on the inner workings of that market. The information obtained throughout analyzing Sopra Steria stock prices may prove useful in developing a viable investing in Sopra Steria
Sopra Steria Group provides consulting, systems integration, software, and other solutions in France and internationally. Sopra Steria Group was founded in 1968 and is headquartered in Paris, France. SOPRA STERIA operates under Information Technology Services classification in France and is traded on Paris Stock Exchange. It employs 42526 people.

Sopra Steria Stock Technical Analysis

Sopra Steria technical stock analysis exercises models and trading practices based on price and volume transformations, such as the moving averages, relative strength index, regressions, price and return correlations, business cycles, stock market cycles, or different charting patterns.
A focus of Sopra Steria technical analysis is to determine if market prices reflect all relevant information impacting that market. A technical analyst looks at the history of Sopra Steria trading pattern rather than external drivers such as economic, fundamental, or social events. It is believed that price action tends to repeat itself due to investors' collective, patterned behavior. Hence technical analysis focuses on identifiable price trends and conditions. More Info...

Price Boundaries

Sopra Steria Period Price Range

Low
December 28, 2024
0.00  NaN%
High

 0.00 

     

 0.00 

Sopra Steria Group cannot be verified against its exchange. Please verify the symbol is currently traded on Euronext Paris. If you still believe the symbol you are trying to look up is valid, please let us know, and we will check it as soon as possible.

Sopra Steria December 28, 2024 Market Strength

Market strength indicators help investors to evaluate how Sopra Steria stock 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 stock market strength indicators, traders can identify Sopra Steria Group entry and exit signals to maximize returns

Sopra Steria Technical and Predictive Indicators

Predictive indicators are helping investors to find signals for Sopra Steria's price direction in advance. Along with the technical and fundamental analysis of Sopra Stock historical price patterns, it is also worthwhile for investors to track various predictive indicators of Sopra to make sure they correctly time the market and exploit it's hidden potentials. Even though most predictive indicators are useful for the short-term horizon, it's virtually impossible to predict the unforeseen market. For traders with a short-term horizon, predictive indicators add value when properly applied. Long-term investors, however, may find many predictive indicators less useful.

Complementary Tools for Sopra Stock 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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