KCI SA (Poland) Technical Analysis
| KCI Stock | 0.89 0.01 1.11% |
As of the 12th of February 2026, KCI SA secures the Mean Deviation of 0.6105, coefficient of variation of (669.28), and Standard Deviation of 0.8486. KCI SA technical analysis lets you operate historical price patterns with an objective to determine a pattern that forecasts the direction of the entity's future prices. Please verify KCI SA standard deviation, maximum drawdown, as well as the relationship between the Maximum Drawdown and kurtosis to decide if KCI SA is priced fairly, providing market reflects its recent price of 0.89 per share.
KCI 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 KCI, fluctuates. Many momentum indicators also complement each other and can be helpful when the market is rising or falling as compared to KCIKCI |
KCI 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 KCI 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 KCI SA.
| 11/14/2025 |
| 02/12/2026 |
If you would invest 0.00 in KCI SA on November 14, 2025 and sell it all today you would earn a total of 0.00 from holding KCI SA or generate 0.0% return on investment in KCI SA over 90 days. KCI SA is related to or competes with Skyline Investment, LSI Software, Kool2play, Carlson Investments, and Quantum Software. More
KCI 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 KCI 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 KCI SA upside and downside potential and time the market with a certain degree of confidence.
| Information Ratio | (0.27) | |||
| Maximum Drawdown | 4.47 | |||
| Value At Risk | (1.11) | |||
| Potential Upside | 1.12 |
KCI SA Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for KCI SA's investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as KCI SA's standard deviation. In reality, there are many statistical measures that can use KCI SA historical prices to predict the future KCI SA's volatility.| Risk Adjusted Performance | (0.12) | |||
| Jensen Alpha | (0.15) | |||
| Total Risk Alpha | (0.24) | |||
| Treynor Ratio | (0.84) |
Sophisticated investors, who have witnessed many market ups and downs, anticipate that the market will even out over time. This tendency of KCI SA'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.
KCI SA February 12, 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 | (0.12) | |||
| Market Risk Adjusted Performance | (0.83) | |||
| Mean Deviation | 0.6105 | |||
| Coefficient Of Variation | (669.28) | |||
| Standard Deviation | 0.8486 | |||
| Variance | 0.7201 | |||
| Information Ratio | (0.27) | |||
| Jensen Alpha | (0.15) | |||
| Total Risk Alpha | (0.24) | |||
| Treynor Ratio | (0.84) | |||
| Maximum Drawdown | 4.47 | |||
| Value At Risk | (1.11) | |||
| Potential Upside | 1.12 | |||
| Skewness | 0.4648 | |||
| Kurtosis | 0.744 |
KCI SA Backtested Returns
KCI SA has Sharpe Ratio of -0.16, which conveys that the company had a -0.16 % return per unit of risk over the last 3 months. KCI SA exposes twenty-three different technical indicators, which can help you to evaluate volatility embedded in its price movement. Please verify KCI SA's Mean Deviation of 0.6105, coefficient of variation of (669.28), and Standard Deviation of 0.8486 to check out the risk estimate we provide. The firm secures a Beta (Market Risk) of 0.16, which conveys not very significant fluctuations relative to the market. As returns on the market increase, KCI SA's returns are expected to increase less than the market. However, during the bear market, the loss of holding KCI SA is expected to be smaller as well. At this point, KCI SA has a negative expected return of -0.14%. Please make sure to verify KCI SA's maximum drawdown and the relationship between the kurtosis and period momentum indicator , to decide if KCI SA performance from the past will be repeated in the future.
Auto-correlation | 0.29 |
Poor predictability
KCI SA has poor predictability. Overlapping area represents the amount of predictability between KCI SA time series from 14th of November 2025 to 29th of December 2025 and 29th of December 2025 to 12th 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 KCI SA price movement. The serial correlation of 0.29 indicates that nearly 29.0% of current KCI SA price fluctuation can be explain by its past prices.
| Correlation Coefficient | 0.29 | |
| Spearman Rank Test | 0.1 | |
| Residual Average | 0.0 | |
| Price Variance | 0.0 |
KCI 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.
KCI SA Technical Analysis
The output start index for this execution was one with a total number of output elements of sixty. The Normalized Average True Range is used to analyze tradable apportunities for KCI SA across different markets.
About KCI 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 KCI 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 KCI SA based on its technical analysis. In general, a bottom-up approach, as applied to this company, focuses on KCI SA price pattern first instead of the macroeconomic environment surrounding KCI SA. By analyzing KCI 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 KCI 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 KCI SA specific price patterns or momentum indicators. Please read more on our technical analysis page.
KCI SA February 12, 2026 Technical Indicators
Most technical analysis of KCI 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 KCI from various momentum indicators to cycle indicators. When you analyze KCI 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 | (0.12) | |||
| Market Risk Adjusted Performance | (0.83) | |||
| Mean Deviation | 0.6105 | |||
| Coefficient Of Variation | (669.28) | |||
| Standard Deviation | 0.8486 | |||
| Variance | 0.7201 | |||
| Information Ratio | (0.27) | |||
| Jensen Alpha | (0.15) | |||
| Total Risk Alpha | (0.24) | |||
| Treynor Ratio | (0.84) | |||
| Maximum Drawdown | 4.47 | |||
| Value At Risk | (1.11) | |||
| Potential Upside | 1.12 | |||
| Skewness | 0.4648 | |||
| Kurtosis | 0.744 |
KCI SA February 12, 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 KCI 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 | 1.53 | ||
| Daily Balance Of Power | (0.50) | ||
| Rate Of Daily Change | 0.99 | ||
| Day Median Price | 0.88 | ||
| Day Typical Price | 0.88 | ||
| Price Action Indicator | 0.01 | ||
| Market Facilitation Index | 0.0003 |
Additional Tools for KCI Stock Analysis
When running KCI SA's price analysis, check to measure KCI 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 KCI SA is operating at the current time. Most of KCI SA's value examination focuses on studying past and present price action to predict the probability of KCI 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 KCI SA's price. Additionally, you may evaluate how the addition of KCI SA to your portfolios can decrease your overall portfolio volatility.