CS Real (Switzerland) Technical Analysis
| CSLP Fund | CHF 152.00 1.40 0.93% |
As of the 4th of February, CS Real owns the Coefficient Of Variation of 11285.11, market risk adjusted performance of (0.14), and Standard Deviation of 0.906. Our technical analysis interface gives you tools to check timely technical drivers of CS Real Estate, as well as the relationship between them. Please confirm CS Real Estate semi deviation, coefficient of variation, and the relationship between the mean deviation and downside deviation to decide if CS Real Estate is priced fairly, providing market reflects its prevailing price of 152.0 per share.
CS 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 CSLP, fluctuates. Many momentum indicators also complement each other and can be helpful when the market is rising or falling as compared to CSLPCSLP |
CS 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 CS Real's fund 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 CS Real.
| 11/06/2025 |
| 02/04/2026 |
If you would invest 0.00 in CS Real on November 6, 2025 and sell it all today you would earn a total of 0.00 from holding CS Real Estate or generate 0.0% return on investment in CS Real over 90 days. CS Real is entity of Switzerland. It is traded as Fund on SW exchange. More
CS 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 CS Real's fund 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 CS Real Estate upside and downside potential and time the market with a certain degree of confidence.
| Downside Deviation | 0.9221 | |||
| Information Ratio | (0.05) | |||
| Maximum Drawdown | 4.22 | |||
| Value At Risk | (1.34) | |||
| Potential Upside | 1.63 |
CS Real Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for CS Real's investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as CS Real's standard deviation. In reality, there are many statistical measures that can use CS Real historical prices to predict the future CS Real's volatility.| Risk Adjusted Performance | 0.0084 | |||
| Jensen Alpha | (0) | |||
| Total Risk Alpha | (0.06) | |||
| Sortino Ratio | (0.05) | |||
| Treynor Ratio | (0.15) |
CS 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 | 0.0084 | |||
| Market Risk Adjusted Performance | (0.14) | |||
| Mean Deviation | 0.6591 | |||
| Semi Deviation | 0.8226 | |||
| Downside Deviation | 0.9221 | |||
| Coefficient Of Variation | 11285.11 | |||
| Standard Deviation | 0.906 | |||
| Variance | 0.8209 | |||
| Information Ratio | (0.05) | |||
| Jensen Alpha | (0) | |||
| Total Risk Alpha | (0.06) | |||
| Sortino Ratio | (0.05) | |||
| Treynor Ratio | (0.15) | |||
| Maximum Drawdown | 4.22 | |||
| Value At Risk | (1.34) | |||
| Potential Upside | 1.63 | |||
| Downside Variance | 0.8502 | |||
| Semi Variance | 0.6767 | |||
| Expected Short fall | (0.76) | |||
| Skewness | 0.276 | |||
| Kurtosis | 0.9957 |
CS Real Estate Backtested Returns
At this stage we consider CSLP Fund to be very steady. CS Real Estate retains Efficiency (Sharpe Ratio) of 0.0608, which signifies that the fund had a 0.0608 % return per unit of price deviation over the last 3 months. We have found thirty technical indicators for CS Real, which you can use to evaluate the volatility of the entity. Please confirm CS Real's Coefficient Of Variation of 11285.11, standard deviation of 0.906, and Market Risk Adjusted Performance of (0.14) to double-check if the risk estimate we provide is consistent with the expected return of 0.0546%. The fund owns a Beta (Systematic Risk) of 0.0133, which signifies not very significant fluctuations relative to the market. As returns on the market increase, CS Real's returns are expected to increase less than the market. However, during the bear market, the loss of holding CS Real is expected to be smaller as well.
Auto-correlation | -0.2 |
Insignificant reverse predictability
CS Real Estate has insignificant reverse predictability. Overlapping area represents the amount of predictability between CS 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 CS Real Estate price movement. The serial correlation of -0.2 indicates that over 20.0% of current CS Real price fluctuation can be explain by its past prices.
| Correlation Coefficient | -0.2 | |
| Spearman Rank Test | 0.27 | |
| Residual Average | 0.0 | |
| Price Variance | 1.23 |
CS Real technical fund 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, fund market cycles, or different charting patterns.
CS 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 CS Real Estate volatility. High ATR values indicate high volatility, and low values indicate low volatility.
About CS 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 CS 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 CS Real Estate based on its technical analysis. In general, a bottom-up approach, as applied to this fund, focuses on CS Real Estate price pattern first instead of the macroeconomic environment surrounding CS Real Estate. By analyzing CS 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 CS 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 CS Real specific price patterns or momentum indicators. Please read more on our technical analysis page.
CS Real February 4, 2026 Technical Indicators
Most technical analysis of CSLP 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 CSLP from various momentum indicators to cycle indicators. When you analyze CSLP 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 | 0.0084 | |||
| Market Risk Adjusted Performance | (0.14) | |||
| Mean Deviation | 0.6591 | |||
| Semi Deviation | 0.8226 | |||
| Downside Deviation | 0.9221 | |||
| Coefficient Of Variation | 11285.11 | |||
| Standard Deviation | 0.906 | |||
| Variance | 0.8209 | |||
| Information Ratio | (0.05) | |||
| Jensen Alpha | (0) | |||
| Total Risk Alpha | (0.06) | |||
| Sortino Ratio | (0.05) | |||
| Treynor Ratio | (0.15) | |||
| Maximum Drawdown | 4.22 | |||
| Value At Risk | (1.34) | |||
| Potential Upside | 1.63 | |||
| Downside Variance | 0.8502 | |||
| Semi Variance | 0.6767 | |||
| Expected Short fall | (0.76) | |||
| Skewness | 0.276 | |||
| Kurtosis | 0.9957 |
CS 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 CSLP 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 | 170.41 | ||
| Daily Balance Of Power | 1.00 | ||
| Rate Of Daily Change | 1.01 | ||
| Day Median Price | 152.10 | ||
| Day Typical Price | 152.07 | ||
| Price Action Indicator | 0.60 |
Other Information on Investing in CSLP Fund
CS Real financial ratios help investors to determine whether CSLP Fund 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 CSLP with respect to the benefits of owning CS Real security.
| Portfolio Manager State of the art Portfolio Manager to monitor and improve performance of your invested capital | |
| Top Crypto Exchanges Search and analyze digital assets across top global cryptocurrency exchanges | |
| Money Managers Screen money managers from public funds and ETFs managed around the world | |
| Options Analysis Analyze and evaluate options and option chains as a potential hedge for your portfolios |