Detection Technology (Finland) Technical Analysis
| DETEC Stock | EUR 14.45 0.15 1.05% |
As of the 1st of February, Detection Technology shows the Mean Deviation of 1.4, variance of 3.76, and Standard Deviation of 1.94. Detection Technology technical analysis allows you to utilize historical prices and volume patterns in order to determine a pattern that computes the direction of the firm's future prices.
Detection Technology Momentum Analysis
Momentum indicators are widely used technical indicators which help to measure the pace at which the price of specific equity, such as Detection, fluctuates. Many momentum indicators also complement each other and can be helpful when the market is rising or falling as compared to DetectionDetection |
Detection Technology 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.
Detection Technology Technical Analysis
The output start index for this execution was thirty-six with a total number of output elements of twenty-five. 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 Detection Technology volatility. High ATR values indicate high volatility, and low values indicate low volatility.
Detection Technology Trend Analysis
Use this graph to draw trend lines for Detection Technology OY. You can use it to identify possible trend reversals for Detection Technology as well as other signals and approximate when it will take place. Remember, you need at least two touches of the trend line with actual Detection Technology price movement. To start drawing, click on the pencil icon on top-right. To remove the trend, use eraser icon.Detection Technology Best Fit Change Line
The following chart estimates an ordinary least squares regression model for Detection Technology OY applied against its price change over selected period. The best fit line has a slop of 0 , which means Detection Technology OY will continue generating value for investors. It has 122 observation points and a regression sum of squares at 0.42, which is the sum of squared deviations for the predicted Detection Technology price change compared to its average price change.About Detection Technology 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 Detection Technology OY 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 Detection Technology OY based on its technical analysis. In general, a bottom-up approach, as applied to this company, focuses on Detection Technology price pattern first instead of the macroeconomic environment surrounding Detection Technology. By analyzing Detection Technology'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 Detection Technology'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 Detection Technology specific price patterns or momentum indicators. Please read more on our technical analysis page.
Detection Technology February 1, 2025 Technical Indicators
Most technical analysis of Detection 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 Detection from various momentum indicators to cycle indicators. When you analyze Detection 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 | (0.09) | |||
| Market Risk Adjusted Performance | 0.3486 | |||
| Mean Deviation | 1.4 | |||
| Coefficient Of Variation | (906.22) | |||
| Standard Deviation | 1.94 | |||
| Variance | 3.76 | |||
| Information Ratio | (0.15) | |||
| Jensen Alpha | (0.18) | |||
| Total Risk Alpha | (0.38) | |||
| Treynor Ratio | 0.3386 | |||
| Maximum Drawdown | 7.8 | |||
| Value At Risk | (3.16) | |||
| Potential Upside | 3.81 | |||
| Skewness | 0.6827 | |||
| Kurtosis | 0.9887 |
Complementary Tools for Detection Stock analysis
When running Detection Technology's price analysis, check to measure Detection Technology'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 Detection Technology is operating at the current time. Most of Detection Technology's value examination focuses on studying past and present price action to predict the probability of Detection Technology's future price movements. You can analyze the entity against its peers and the financial market as a whole to determine factors that move Detection Technology's price. Additionally, you may evaluate how the addition of Detection Technology to your portfolios can decrease your overall portfolio volatility.
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