TechTarget, (Germany) Technical Analysis
| EFT0 Stock | 4.20 0.02 0.47% |
As of the 6th of February, TechTarget, has the Variance of 14.9, coefficient of variation of (186,033), and Risk Adjusted Performance of 0.0076. TechTarget, technical analysis provides you with a way to harness past market data to determine a pattern that measures the direction of the company's future prices. Please validate TechTarget, mean deviation, standard deviation, information ratio, as well as the relationship between the coefficient of variation and variance to decide if TechTarget, is priced more or less accurately, providing market reflects its prevalent price of 4.2 per share.
TechTarget, Momentum Analysis
Momentum indicators are widely used technical indicators which help to measure the pace at which the price of specific equity, such as TechTarget,, fluctuates. Many momentum indicators also complement each other and can be helpful when the market is rising or falling as compared to TechTarget,TechTarget, |
TechTarget, '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 TechTarget,'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 TechTarget,.
| 11/08/2025 |
| 02/06/2026 |
If you would invest 0.00 in TechTarget, on November 8, 2025 and sell it all today you would earn a total of 0.00 from holding TechTarget or generate 0.0% return on investment in TechTarget, over 90 days. TechTarget, is related to or competes with LINMON MEDIA, Cleanaway Waste, ATRESMEDIA, Sims Metal, Hollywood Bowl, and Dave Busters. TechTarget, is entity of Germany. It is traded as Stock on F exchange. More
TechTarget, 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 TechTarget,'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 TechTarget upside and downside potential and time the market with a certain degree of confidence.
| Information Ratio | (0.01) | |||
| Maximum Drawdown | 17.24 | |||
| Value At Risk | (6.14) | |||
| Potential Upside | 5.48 |
TechTarget, Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for TechTarget,'s investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as TechTarget,'s standard deviation. In reality, there are many statistical measures that can use TechTarget, historical prices to predict the future TechTarget,'s volatility.| Risk Adjusted Performance | 0.0076 | |||
| Jensen Alpha | 0.0041 | |||
| Total Risk Alpha | (0.19) | |||
| Treynor Ratio | 0.0262 |
TechTarget, February 6, 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 | 0.0076 | |||
| Market Risk Adjusted Performance | 0.0362 | |||
| Mean Deviation | 2.93 | |||
| Coefficient Of Variation | (186,033) | |||
| Standard Deviation | 3.86 | |||
| Variance | 14.9 | |||
| Information Ratio | (0.01) | |||
| Jensen Alpha | 0.0041 | |||
| Total Risk Alpha | (0.19) | |||
| Treynor Ratio | 0.0262 | |||
| Maximum Drawdown | 17.24 | |||
| Value At Risk | (6.14) | |||
| Potential Upside | 5.48 | |||
| Skewness | 0.2889 | |||
| Kurtosis | 0.1118 |
TechTarget, Backtested Returns
TechTarget, owns Efficiency Ratio (i.e., Sharpe Ratio) of close to zero, which indicates the firm had a close to zero % return per unit of risk over the last 3 months. TechTarget exposes twenty different technical indicators, which can help you to evaluate volatility embedded in its price movement. Please validate TechTarget,'s Variance of 14.9, coefficient of variation of (186,033), and Risk Adjusted Performance of 0.0076 to confirm the risk estimate we provide. The entity has a beta of -0.46, which indicates possible diversification benefits within a given portfolio. As returns on the market increase, returns on owning TechTarget, are expected to decrease at a much lower rate. During the bear market, TechTarget, is likely to outperform the market. At this point, TechTarget, has a negative expected return of -0.0021%. Please make sure to validate TechTarget,'s standard deviation, information ratio, and the relationship between the coefficient of variation and variance , to decide if TechTarget, performance from the past will be repeated at some point in the near future.
Auto-correlation | -0.05 |
Very weak reverse predictability
TechTarget has very weak reverse predictability. Overlapping area represents the amount of predictability between TechTarget, time series from 8th of November 2025 to 23rd of December 2025 and 23rd of December 2025 to 6th 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 TechTarget, price movement. The serial correlation of -0.05 indicates that only as little as 5.0% of current TechTarget, price fluctuation can be explain by its past prices.
| Correlation Coefficient | -0.05 | |
| Spearman Rank Test | 0.01 | |
| Residual Average | 0.0 | |
| Price Variance | 0.02 |
TechTarget, 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.
TechTarget, Technical Analysis
Incorrect Input. Please change your parameters or increase the time horizon required for running this function. The output start index for this execution was zero with a total number of output elements of zero. 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 TechTarget, volatility. High ATR values indicate high volatility, and low values indicate low volatility.
About TechTarget, 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 TechTarget 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 TechTarget based on its technical analysis. In general, a bottom-up approach, as applied to this company, focuses on TechTarget, price pattern first instead of the macroeconomic environment surrounding TechTarget,. By analyzing TechTarget,'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 TechTarget,'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 TechTarget, specific price patterns or momentum indicators. Please read more on our technical analysis page.
TechTarget, February 6, 2026 Technical Indicators
Most technical analysis of TechTarget, 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 TechTarget, from various momentum indicators to cycle indicators. When you analyze TechTarget, 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 | 0.0076 | |||
| Market Risk Adjusted Performance | 0.0362 | |||
| Mean Deviation | 2.93 | |||
| Coefficient Of Variation | (186,033) | |||
| Standard Deviation | 3.86 | |||
| Variance | 14.9 | |||
| Information Ratio | (0.01) | |||
| Jensen Alpha | 0.0041 | |||
| Total Risk Alpha | (0.19) | |||
| Treynor Ratio | 0.0262 | |||
| Maximum Drawdown | 17.24 | |||
| Value At Risk | (6.14) | |||
| Potential Upside | 5.48 | |||
| Skewness | 0.2889 | |||
| Kurtosis | 0.1118 |
TechTarget, February 6, 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 TechTarget, 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 | 1.00 | ||
| Day Median Price | 4.20 | ||
| Day Typical Price | 4.20 | ||
| Price Action Indicator | (0.01) |
Complementary Tools for TechTarget, Stock analysis
When running TechTarget,'s price analysis, check to measure TechTarget,'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 TechTarget, is operating at the current time. Most of TechTarget,'s value examination focuses on studying past and present price action to predict the probability of TechTarget,'s future price movements. You can analyze the entity against its peers and the financial market as a whole to determine factors that move TechTarget,'s price. Additionally, you may evaluate how the addition of TechTarget, to your portfolios can decrease your overall portfolio volatility.
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