SXI Real (Switzerland) Technical Analysis
| REAL Stock | 4,847 45.72 0.95% |
As of the 4th of February, SXI Real has the coefficient of variation of 326.06, and Risk Adjusted Performance of 0.2228. Compared to fundamental indicators, the technical analysis model makes it possible for you to check available technical drivers of SXI Real Estate, as well as the relationship between them. Please validate SXI Real Estate standard deviation, information ratio, treynor ratio, as well as the relationship between the variance and jensen alpha to decide if SXI Real is priced fairly, providing market reflects its prevalent price of 4847.2 per share.
SXI Real Momentum Analysis
Momentum indicators are widely used technical indicators which help to measure the pace at which the price of specific equity, such as SXI, fluctuates. Many momentum indicators also complement each other and can be helpful when the market is rising or falling as compared to SXISXI |
SXI Real '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 SXI Real'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 SXI Real.
| 11/06/2025 |
| 02/04/2026 |
If you would invest 0.00 in SXI Real on November 6, 2025 and sell it all today you would earn a total of 0.00 from holding SXI Real Estate or generate 0.0% return on investment in SXI Real over 90 days. SXI Real is related to or competes with SoftwareONE Holding, Glarner Kantonalbank, Schweizerische Nationalbank, Thurgauer Kantonalbank, Basler Kantonalbank, and Graubuendner Kantonalbank. SXI Real is entity of Switzerland. It is traded as Stock on SW exchange. More
SXI Real 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 SXI Real'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 SXI Real Estate upside and downside potential and time the market with a certain degree of confidence.
| Downside Deviation | 0.59 | |||
| Information Ratio | 0.2178 | |||
| Maximum Drawdown | 3.59 | |||
| Value At Risk | (0.65) | |||
| Potential Upside | 1.21 |
SXI Real Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for SXI Real's investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as SXI Real's standard deviation. In reality, there are many statistical measures that can use SXI Real historical prices to predict the future SXI Real's volatility.| Risk Adjusted Performance | 0.2228 | |||
| Jensen Alpha | 0.1723 | |||
| Total Risk Alpha | 0.1379 | |||
| Sortino Ratio | 0.22 | |||
| Treynor Ratio | 16.61 |
SXI Real February 4, 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 | 0.2228 | |||
| Market Risk Adjusted Performance | 16.62 | |||
| Mean Deviation | 0.4265 | |||
| Semi Deviation | 0.1792 | |||
| Downside Deviation | 0.59 | |||
| Coefficient Of Variation | 326.06 | |||
| Standard Deviation | 0.596 | |||
| Variance | 0.3552 | |||
| Information Ratio | 0.2178 | |||
| Jensen Alpha | 0.1723 | |||
| Total Risk Alpha | 0.1379 | |||
| Sortino Ratio | 0.22 | |||
| Treynor Ratio | 16.61 | |||
| Maximum Drawdown | 3.59 | |||
| Value At Risk | (0.65) | |||
| Potential Upside | 1.21 | |||
| Downside Variance | 0.3481 | |||
| Semi Variance | 0.0321 | |||
| Expected Short fall | (0.48) | |||
| Skewness | 0.1057 | |||
| Kurtosis | 2.19 |
SXI Real Estate Backtested Returns
SXI Real appears to be very steady, given 3 months investment horizon. SXI Real Estate owns Efficiency Ratio (i.e., Sharpe Ratio) of 0.32, which indicates the firm had a 0.32 % return per unit of volatility over the last 3 months. We have found thirty technical indicators for SXI Real Estate, which you can use to evaluate the volatility of the company. Please review SXI Real's risk adjusted performance of 0.2228, and Coefficient Of Variation of 326.06 to confirm if our risk estimates are consistent with your expectations. On a scale of 0 to 100, SXI Real holds a performance score of 25. The entity has a beta of 0.0104, which indicates not very significant fluctuations relative to the market. As returns on the market increase, SXI Real's returns are expected to increase less than the market. However, during the bear market, the loss of holding SXI Real is expected to be smaller as well. Please check SXI Real's total risk alpha, treynor ratio, and the relationship between the jensen alpha and sortino ratio , to make a quick decision on whether SXI Real's existing price patterns will revert.
Auto-correlation | 0.41 |
Average predictability
SXI Real Estate has average predictability. Overlapping area represents the amount of predictability between SXI Real time series from 6th of November 2025 to 21st of December 2025 and 21st of December 2025 to 4th 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 SXI Real Estate price movement. The serial correlation of 0.41 indicates that just about 41.0% of current SXI Real price fluctuation can be explain by its past prices.
| Correlation Coefficient | 0.41 | |
| Spearman Rank Test | 0.62 | |
| Residual Average | 0.0 | |
| Price Variance | 12.3 K |
SXI Real 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.
SXI Real Estate Technical Analysis
The output start index for this execution was twenty-four with a total number of output elements of thirty-seven. 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 SXI Real Estate volatility. High ATR values indicate high volatility, and low values indicate low volatility.
About SXI Real 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 SXI Real Estate 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 SXI Real Estate based on its technical analysis. In general, a bottom-up approach, as applied to this company, focuses on SXI Real Estate price pattern first instead of the macroeconomic environment surrounding SXI Real Estate. By analyzing SXI Real'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 SXI Real'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 SXI Real specific price patterns or momentum indicators. Please read more on our technical analysis page.
SXI Real February 4, 2026 Technical Indicators
Most technical analysis of SXI 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 SXI from various momentum indicators to cycle indicators. When you analyze SXI 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 | 0.2228 | |||
| Market Risk Adjusted Performance | 16.62 | |||
| Mean Deviation | 0.4265 | |||
| Semi Deviation | 0.1792 | |||
| Downside Deviation | 0.59 | |||
| Coefficient Of Variation | 326.06 | |||
| Standard Deviation | 0.596 | |||
| Variance | 0.3552 | |||
| Information Ratio | 0.2178 | |||
| Jensen Alpha | 0.1723 | |||
| Total Risk Alpha | 0.1379 | |||
| Sortino Ratio | 0.22 | |||
| Treynor Ratio | 16.61 | |||
| Maximum Drawdown | 3.59 | |||
| Value At Risk | (0.65) | |||
| Potential Upside | 1.21 | |||
| Downside Variance | 0.3481 | |||
| Semi Variance | 0.0321 | |||
| Expected Short fall | (0.48) | |||
| Skewness | 0.1057 | |||
| Kurtosis | 2.19 |
SXI Real February 4, 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 SXI 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 | 0.01 | ||
| Daily Balance Of Power | 1.25 | ||
| Rate Of Daily Change | 1.01 | ||
| Day Median Price | 4,835 | ||
| Day Typical Price | 4,839 | ||
| Price Action Indicator | 35.30 | ||
| Market Facilitation Index | 36.61 |
Additional Tools for SXI Stock Analysis
When running SXI Real's price analysis, check to measure SXI Real'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 SXI Real is operating at the current time. Most of SXI Real's value examination focuses on studying past and present price action to predict the probability of SXI Real's future price movements. You can analyze the entity against its peers and the financial market as a whole to determine factors that move SXI Real's price. Additionally, you may evaluate how the addition of SXI Real to your portfolios can decrease your overall portfolio volatility.