SPIE SA (France) Technical Analysis
| SPIE Stock | EUR 50.00 0.76 1.54% |
As of the 16th of February 2026, SPIE SA has the risk adjusted performance of 0.1351, and Coefficient Of Variation of 617.59. In connection with fundamental indicators, the technical analysis model makes it possible for you to check practical technical drivers of SPIE SA, as well as the relationship between them.
SPIE SA Momentum Analysis
Momentum indicators are widely used technical indicators which help to measure the pace at which the price of specific equity, such as SPIE, fluctuates. Many momentum indicators also complement each other and can be helpful when the market is rising or falling as compared to SPIESPIE |
SPIE SA 'What if' Analysis
In the world of financial modeling, what-if analysis is part of sensitivity analysis performed to test how changes in assumptions impact individual outputs in a model. When applied to SPIE SA's stock what-if analysis refers to the analyzing how the change in your past investing horizon will affect the profitability against the current market value of SPIE SA.
| 11/18/2025 |
| 02/16/2026 |
If you would invest 0.00 in SPIE SA on November 18, 2025 and sell it all today you would earn a total of 0.00 from holding SPIE SA or generate 0.0% return on investment in SPIE SA over 90 days. SPIE SA is related to or competes with Sodexo SA, Eiffage SA, Getlink SE, Nexans SA, Compagnie, ALD SA, and Elis SA. SPIE SA provides multi-technical services in the areas of energy and communications More
SPIE SA Upside/Downside Indicators
Understanding different market momentum indicators often help investors to time their next move. Potential upside and downside technical ratios enable traders to measure SPIE SA's stock current market value against overall market sentiment and can be a good tool during both bulling and bearish trends. Here we outline some of the essential indicators to assess SPIE SA upside and downside potential and time the market with a certain degree of confidence.
| Downside Deviation | 1.22 | |||
| Information Ratio | 0.1134 | |||
| Maximum Drawdown | 6.55 | |||
| Value At Risk | (1.78) | |||
| Potential Upside | 2.78 |
SPIE SA Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for SPIE SA's investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as SPIE SA's standard deviation. In reality, there are many statistical measures that can use SPIE SA historical prices to predict the future SPIE SA's volatility.| Risk Adjusted Performance | 0.1351 | |||
| Jensen Alpha | 0.2036 | |||
| Total Risk Alpha | 0.1163 | |||
| Sortino Ratio | 0.1345 | |||
| Treynor Ratio | 0.676 |
SPIE SA February 16, 2026 Technical Indicators
| Cycle Indicators | ||
| Math Operators | ||
| Math Transform | ||
| Momentum Indicators | ||
| Overlap Studies | ||
| Pattern Recognition | ||
| Price Transform | ||
| Statistic Functions | ||
| Volatility Indicators | ||
| Volume Indicators |
| Risk Adjusted Performance | 0.1351 | |||
| Market Risk Adjusted Performance | 0.686 | |||
| Mean Deviation | 1.09 | |||
| Semi Deviation | 1.02 | |||
| Downside Deviation | 1.22 | |||
| Coefficient Of Variation | 617.59 | |||
| Standard Deviation | 1.44 | |||
| Variance | 2.08 | |||
| Information Ratio | 0.1134 | |||
| Jensen Alpha | 0.2036 | |||
| Total Risk Alpha | 0.1163 | |||
| Sortino Ratio | 0.1345 | |||
| Treynor Ratio | 0.676 | |||
| Maximum Drawdown | 6.55 | |||
| Value At Risk | (1.78) | |||
| Potential Upside | 2.78 | |||
| Downside Variance | 1.48 | |||
| Semi Variance | 1.05 | |||
| Expected Short fall | (1.20) | |||
| Skewness | 0.8233 | |||
| Kurtosis | 1.33 |
SPIE SA Backtested Returns
SPIE SA appears to be very steady, given 3 months investment horizon. SPIE SA owns Efficiency Ratio (i.e., Sharpe Ratio) of 0.17, which indicates the firm had a 0.17 % return per unit of volatility over the last 3 months. We have found twenty-eight technical indicators for SPIE SA, which you can use to evaluate the volatility of the company. Please review SPIE SA's coefficient of variation of 617.59, and Risk Adjusted Performance of 0.1351 to confirm if our risk estimates are consistent with your expectations. On a scale of 0 to 100, SPIE SA holds a performance score of 13. The entity has a beta of 0.33, which indicates possible diversification benefits within a given portfolio. As returns on the market increase, SPIE SA's returns are expected to increase less than the market. However, during the bear market, the loss of holding SPIE SA is expected to be smaller as well. Please check SPIE SA's total risk alpha, treynor ratio, and the relationship between the jensen alpha and sortino ratio , to make a quick decision on whether SPIE SA's existing price patterns will revert.
Auto-correlation | -0.47 |
Modest reverse predictability
SPIE SA has modest reverse predictability. Overlapping area represents the amount of predictability between SPIE SA time series from 18th of November 2025 to 2nd of January 2026 and 2nd of January 2026 to 16th of February 2026. The more autocorrelation exist between current time interval and its lagged values, the more accurately you can make projection about the future pattern of SPIE SA price movement. The serial correlation of -0.47 indicates that about 47.0% of current SPIE SA price fluctuation can be explain by its past prices.
| Correlation Coefficient | -0.47 | |
| Spearman Rank Test | -0.33 | |
| Residual Average | 0.0 | |
| Price Variance | 1.92 |
SPIE SA 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.
SPIE SA Technical Analysis
The output start index for this execution was one with a total number of output elements of sixty. The Average True Range was developed by J. Welles Wilder in 1970s. It is one of components of the Welles Wilder Directional Movement indicators. The ATR is a measure of SPIE SA volatility. High ATR values indicate high volatility, and low values indicate low volatility.
About SPIE SA Technical Analysis
The technical analysis module can be used to analyzes prices, returns, volume, basic money flow, and other market information and help investors to determine the real value of SPIE SA on a daily or weekly bases. We use both bottom-up as well as top-down valuation methodologies to arrive at the intrinsic value of SPIE SA based on its technical analysis. In general, a bottom-up approach, as applied to this company, focuses on SPIE SA price pattern first instead of the macroeconomic environment surrounding SPIE SA. By analyzing SPIE SA's financials, daily price indicators, and related drivers such as dividends, momentum ratios, and various types of growth rates, we attempt to find the most accurate representation of SPIE SA's intrinsic value. As compared to a bottom-up approach, our top-down model examines the macroeconomic factors that affect the industry/economy before zooming in to SPIE SA specific price patterns or momentum indicators. Please read more on our technical analysis page.
| 2023 | 2024 | 2025 | 2026 (projected) | Dividend Yield | 0.0273 | 0.0285 | 0.0328 | 0.0338 | Price To Sales Ratio | 0.53 | 0.51 | 0.46 | 0.35 |
SPIE SA February 16, 2026 Technical Indicators
Most technical analysis of SPIE help investors determine whether a current trend will continue and, if not, when it will shift. We provide a combination of tools to recognize potential entry and exit points for SPIE from various momentum indicators to cycle indicators. When you analyze SPIE charts, please remember that the event formation may indicate an entry point for a short seller, and look at different other indicators across different periods to confirm that a breakdown or reversion is likely to occur.
| Cycle Indicators | ||
| Math Operators | ||
| Math Transform | ||
| Momentum Indicators | ||
| Overlap Studies | ||
| Pattern Recognition | ||
| Price Transform | ||
| Statistic Functions | ||
| Volatility Indicators | ||
| Volume Indicators |
| Risk Adjusted Performance | 0.1351 | |||
| Market Risk Adjusted Performance | 0.686 | |||
| Mean Deviation | 1.09 | |||
| Semi Deviation | 1.02 | |||
| Downside Deviation | 1.22 | |||
| Coefficient Of Variation | 617.59 | |||
| Standard Deviation | 1.44 | |||
| Variance | 2.08 | |||
| Information Ratio | 0.1134 | |||
| Jensen Alpha | 0.2036 | |||
| Total Risk Alpha | 0.1163 | |||
| Sortino Ratio | 0.1345 | |||
| Treynor Ratio | 0.676 | |||
| Maximum Drawdown | 6.55 | |||
| Value At Risk | (1.78) | |||
| Potential Upside | 2.78 | |||
| Downside Variance | 1.48 | |||
| Semi Variance | 1.05 | |||
| Expected Short fall | (1.20) | |||
| Skewness | 0.8233 | |||
| Kurtosis | 1.33 |
SPIE SA February 16, 2026 Daily Trend Indicators
Traders often use several different daily volumes and price technical indicators to supplement a more traditional technical analysis when analyzing securities such as SPIE stock. With literally thousands of different options, investors must choose the best indicators for them and familiarize themselves with how they work. We suggest combining traditional momentum indicators with more near-term forms of technical analysis such as Accumulation Distribution or Daily Balance Of Power. With their quantitative nature, daily value technical indicators can also be incorporated into your automated trading systems.
| Accumulation Distribution | 8,373 | ||
| Daily Balance Of Power | 0.58 | ||
| Rate Of Daily Change | 1.02 | ||
| Day Median Price | 50.04 | ||
| Day Typical Price | 50.03 | ||
| Price Action Indicator | 0.34 |
Complementary Tools for SPIE Stock analysis
When running SPIE SA's price analysis, check to measure SPIE SA'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 SPIE SA is operating at the current time. Most of SPIE SA's value examination focuses on studying past and present price action to predict the probability of SPIE SA's future price movements. You can analyze the entity against its peers and the financial market as a whole to determine factors that move SPIE SA's price. Additionally, you may evaluate how the addition of SPIE SA to your portfolios can decrease your overall portfolio volatility.
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