BEKAERT (Germany) Technical Analysis
| BK8N Stock | EUR 43.95 0.70 1.57% |
As of the 16th of February 2026, BEKAERT shows the Mean Deviation of 1.27, risk adjusted performance of 0.1777, and Semi Deviation of 1.12. BEKAERT technical analysis gives you the methodology to make use of historical prices and volume patterns to determine a pattern that approximates the direction of the firm's future prices.
BEKAERT Momentum Analysis
Momentum indicators are widely used technical indicators which help to measure the pace at which the price of specific equity, such as BEKAERT, fluctuates. Many momentum indicators also complement each other and can be helpful when the market is rising or falling as compared to BEKAERTBEKAERT |
BEKAERT '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 BEKAERT'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 BEKAERT.
| 11/18/2025 |
| 02/16/2026 |
If you would invest 0.00 in BEKAERT on November 18, 2025 and sell it all today you would earn a total of 0.00 from holding BEKAERT or generate 0.0% return on investment in BEKAERT over 90 days. BEKAERT is related to or competes with Abbott Laboratories, DANAHER (DAPSG), Advanced Micro, Philip Morris, Amgen, and Hong Kong. BEKAERT is entity of Germany. It is traded as Stock on DU exchange. More
BEKAERT 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 BEKAERT'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 BEKAERT upside and downside potential and time the market with a certain degree of confidence.
| Downside Deviation | 1.55 | |||
| Information Ratio | 0.1725 | |||
| Maximum Drawdown | 9.3 | |||
| Value At Risk | (1.98) | |||
| Potential Upside | 3.45 |
BEKAERT Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for BEKAERT's investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as BEKAERT's standard deviation. In reality, there are many statistical measures that can use BEKAERT historical prices to predict the future BEKAERT's volatility.| Risk Adjusted Performance | 0.1777 | |||
| Jensen Alpha | 0.345 | |||
| Total Risk Alpha | 0.2261 | |||
| Sortino Ratio | 0.1885 | |||
| Treynor Ratio | 3.09 |
BEKAERT 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 | 0.1777 | |||
| Market Risk Adjusted Performance | 3.1 | |||
| Mean Deviation | 1.27 | |||
| Semi Deviation | 1.12 | |||
| Downside Deviation | 1.55 | |||
| Coefficient Of Variation | 467.78 | |||
| Standard Deviation | 1.69 | |||
| Variance | 2.86 | |||
| Information Ratio | 0.1725 | |||
| Jensen Alpha | 0.345 | |||
| Total Risk Alpha | 0.2261 | |||
| Sortino Ratio | 0.1885 | |||
| Treynor Ratio | 3.09 | |||
| Maximum Drawdown | 9.3 | |||
| Value At Risk | (1.98) | |||
| Potential Upside | 3.45 | |||
| Downside Variance | 2.4 | |||
| Semi Variance | 1.26 | |||
| Expected Short fall | (1.53) | |||
| Skewness | 0.2033 | |||
| Kurtosis | 0.7084 |
BEKAERT Backtested Returns
BEKAERT appears to be very steady, given 3 months investment horizon. BEKAERT secures Sharpe Ratio (or Efficiency) of 0.24, which signifies that the company had a 0.24 % return per unit of return volatility over the last 3 months. We have found twenty-six technical indicators for BEKAERT, which you can use to evaluate the volatility of the firm. Please makes use of BEKAERT's Mean Deviation of 1.27, semi deviation of 1.12, and Risk Adjusted Performance of 0.1777 to double-check if our risk estimates are consistent with your expectations. On a scale of 0 to 100, BEKAERT holds a performance score of 18. The firm shows a Beta (market volatility) of 0.11, which signifies not very significant fluctuations relative to the market. As returns on the market increase, BEKAERT's returns are expected to increase less than the market. However, during the bear market, the loss of holding BEKAERT is expected to be smaller as well. Please check BEKAERT's information ratio, total risk alpha, and the relationship between the coefficient of variation and jensen alpha , to make a quick decision on whether BEKAERT's price patterns will revert.
Auto-correlation | 0.57 |
Modest predictability
BEKAERT has modest predictability. Overlapping area represents the amount of predictability between BEKAERT 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 BEKAERT price movement. The serial correlation of 0.57 indicates that roughly 57.0% of current BEKAERT price fluctuation can be explain by its past prices.
| Correlation Coefficient | 0.57 | |
| Spearman Rank Test | 0.58 | |
| Residual Average | 0.0 | |
| Price Variance | 3.67 |
BEKAERT 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.
BEKAERT 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 BEKAERT volatility. High ATR values indicate high volatility, and low values indicate low volatility.
About BEKAERT 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 BEKAERT 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 BEKAERT based on its technical analysis. In general, a bottom-up approach, as applied to this company, focuses on BEKAERT price pattern first instead of the macroeconomic environment surrounding BEKAERT. By analyzing BEKAERT'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 BEKAERT'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 BEKAERT specific price patterns or momentum indicators. Please read more on our technical analysis page.
BEKAERT February 16, 2026 Technical Indicators
Most technical analysis of BEKAERT 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 BEKAERT from various momentum indicators to cycle indicators. When you analyze BEKAERT 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 | 0.1777 | |||
| Market Risk Adjusted Performance | 3.1 | |||
| Mean Deviation | 1.27 | |||
| Semi Deviation | 1.12 | |||
| Downside Deviation | 1.55 | |||
| Coefficient Of Variation | 467.78 | |||
| Standard Deviation | 1.69 | |||
| Variance | 2.86 | |||
| Information Ratio | 0.1725 | |||
| Jensen Alpha | 0.345 | |||
| Total Risk Alpha | 0.2261 | |||
| Sortino Ratio | 0.1885 | |||
| Treynor Ratio | 3.09 | |||
| Maximum Drawdown | 9.3 | |||
| Value At Risk | (1.98) | |||
| Potential Upside | 3.45 | |||
| Downside Variance | 2.4 | |||
| Semi Variance | 1.26 | |||
| Expected Short fall | (1.53) | |||
| Skewness | 0.2033 | |||
| Kurtosis | 0.7084 |
BEKAERT 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 BEKAERT 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 | 0.00 | ||
| Daily Balance Of Power | (Huge) | ||
| Rate Of Daily Change | 0.98 | ||
| Day Median Price | 43.95 | ||
| Day Typical Price | 43.95 | ||
| Price Action Indicator | (0.35) |
Additional Tools for BEKAERT Stock Analysis
When running BEKAERT's price analysis, check to measure BEKAERT'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 BEKAERT is operating at the current time. Most of BEKAERT's value examination focuses on studying past and present price action to predict the probability of BEKAERT's future price movements. You can analyze the entity against its peers and the financial market as a whole to determine factors that move BEKAERT's price. Additionally, you may evaluate how the addition of BEKAERT to your portfolios can decrease your overall portfolio volatility.