TechTarget,'s market value is the price at which a share of TechTarget, trades on a public exchange. It measures the collective expectations of TechTarget investors about its performance. TechTarget, is trading at 4.34 as of the 18th of January 2026. This is a 1.88% up since the beginning of the trading day. The stock's lowest day price was 4.34. With this module, you can estimate the performance of a buy and hold strategy of TechTarget and determine expected loss or profit from investing in TechTarget, over a given investment horizon. Check out Investing Opportunities to better understand how to build diversified portfolios. Also, note that the market value of any company could be closely tied with the direction of predictive economic indicators such as signals in employment.
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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,.
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01/23/2025
No Change 0.00
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In 11 months and 27 days
01/18/2026
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If you would invest 0.00 in TechTarget, on January 23, 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 360 days.
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.
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.
At this point, TechTarget, is unstable. TechTarget, owns Efficiency Ratio (i.e., Sharpe Ratio) of 0.0203, which indicates the firm had a 0.0203 % return per unit of risk over the last 3 months. We have found twenty-seven technical indicators for TechTarget, which you can use to evaluate the volatility of the company. Please validate TechTarget,'s Semi Deviation of 3.8, risk adjusted performance of 0.0227, and Coefficient Of Variation of 4850.51 to confirm if the risk estimate we provide is consistent with the expected return of 0.0855%. TechTarget, has a performance score of 1 on a scale of 0 to 100. The entity has a beta of 0.15, which indicates not very significant fluctuations relative to the market. As returns on the market increase, TechTarget,'s returns are expected to increase less than the market. However, during the bear market, the loss of holding TechTarget, is expected to be smaller as well. TechTarget, right now has a risk of 4.21%. Please validate TechTarget, mean deviation, downside deviation, information ratio, as well as the relationship between the semi deviation and coefficient of variation , to decide if TechTarget, will be following its existing price patterns.
Auto-correlation
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No correlation between past and present
TechTarget has no correlation between past and present. Overlapping area represents the amount of predictability between TechTarget, time series from 23rd of January 2025 to 22nd of July 2025 and 22nd of July 2025 to 18th of January 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 0.0 indicates that just 0.0% of current TechTarget, price fluctuation can be explain by its past prices.
Correlation Coefficient
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Spearman Rank Test
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Residual Average
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Price Variance
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TechTarget, lagged returns against current returns
Autocorrelation, which is TechTarget, stock's lagged correlation, explains the relationship between observations of its time series of returns over different periods of time. The observations are said to be independent if autocorrelation is zero. Autocorrelation is calculated as a function of mean and variance and can have practical application in predicting TechTarget,'s stock expected returns. We can calculate the autocorrelation of TechTarget, returns to help us make a trade decision. For example, suppose you find that TechTarget, has exhibited high autocorrelation historically, and you observe that the stock is moving up for the past few days. In that case, you can expect the price movement to match the lagging time series.
Current and Lagged Values
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TechTarget, regressed lagged prices vs. current prices
Serial correlation can be approximated by using the Durbin-Watson (DW) test. The correlation can be either positive or negative. If TechTarget, stock is displaying a positive serial correlation, investors will expect a positive pattern to continue. However, if TechTarget, stock is observed to have a negative serial correlation, investors will generally project negative sentiment on having a locked-in long position in TechTarget, stock over time.
Current vs Lagged Prices
Timeline
TechTarget, Lagged Returns
When evaluating TechTarget,'s market value, investors can use the concept of autocorrelation to see how much of an impact past prices of TechTarget, stock have on its future price. TechTarget, autocorrelation represents the degree of similarity between a given time horizon and a lagged version of the same horizon over the previous time interval. In other words, TechTarget, autocorrelation shows the relationship between TechTarget, stock current value and its past values and can show if there is a momentum factor associated with investing in TechTarget.