TechTarget Stock Forecast - Naive Prediction

TTGT Stock  USD 33.19  0.75  2.31%   
The Naive Prediction forecasted value of TechTarget on the next trading day is expected to be 33.32 with a mean absolute deviation of 0.91 and the sum of the absolute errors of 55.35. TechTarget Stock Forecast is based on your current time horizon.
  
Inventory Turnover is likely to drop to 477.39 in 2024. Payables Turnover is likely to drop to 9.70 in 2024. Common Stock Shares Outstanding is likely to gain to about 33.4 M in 2024. Net Income Applicable To Common Shares is likely to gain to about 50.2 M in 2024.
Forecasting cash, or other financial indicators, requires analysts to apply different statistical methods, techniques, and algorithms to find hidden patterns within the TechTarget's financial statements to predict how it will affect future prices.
 
Cash  
First Reported
2005-12-31
Previous Quarter
237.4 M
Current Value
278.5 M
Quarterly Volatility
97.6 M
 
Housing Crash
 
Credit Downgrade
 
Yuan Drop
 
Covid
A naive forecasting model for TechTarget is a special case of the moving average forecasting where the number of periods used for smoothing is one. Therefore, the forecast of TechTarget value for a given trading day is simply the observed value for the previous period. Due to the simplistic nature of the naive forecasting model, it can only be used to forecast up to one period.

TechTarget Naive Prediction Price Forecast For the 26th of November

Given 90 days horizon, the Naive Prediction forecasted value of TechTarget on the next trading day is expected to be 33.32 with a mean absolute deviation of 0.91, mean absolute percentage error of 1.14, and the sum of the absolute errors of 55.35.
Please note that although there have been many attempts to predict TechTarget Stock prices using its time series forecasting, we generally do not recommend using it to place bets in the real market. The most commonly used models for forecasting predictions are the autoregressive models, which specify that TechTarget's next future price depends linearly on its previous prices and some stochastic term (i.e., imperfectly predictable multiplier).

TechTarget Stock Forecast Pattern

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TechTarget Forecasted Value

In the context of forecasting TechTarget's Stock value on the next trading day, we examine the predictive performance of the model to find good statistically significant boundaries of downside and upside scenarios. TechTarget's downside and upside margins for the forecasting period are 30.44 and 36.21, respectively. We have considered TechTarget's daily market price to evaluate the above model's predictive performance. Remember, however, there is no scientific proof or empirical evidence that traditional linear or nonlinear forecasting models outperform artificial intelligence and frequency domain models to provide accurate forecasts consistently.
Market Value
33.19
33.32
Expected Value
36.21
Upside

Model Predictive Factors

The below table displays some essential indicators generated by the model showing the Naive Prediction forecasting method's relative quality and the estimations of the prediction error of TechTarget stock data series using in forecasting. Note that when a statistical model is used to represent TechTarget stock, the representation will rarely be exact; so some information will be lost using the model to explain the process. AIC estimates the relative amount of information lost by a given model: the less information a model loses, the higher its quality.
AICAkaike Information Criteria118.2406
BiasArithmetic mean of the errors None
MADMean absolute deviation0.9073
MAPEMean absolute percentage error0.0341
SAESum of the absolute errors55.3478
This model is not at all useful as a medium-long range forecasting tool of TechTarget. This model is simplistic and is included partly for completeness and partly because of its simplicity. It is unlikely that you'll want to use this model directly to predict TechTarget. Instead, consider using either the moving average model or the more general weighted moving average model with a higher (i.e., greater than 1) number of periods, and possibly a different set of weights.

Predictive Modules for TechTarget

There are currently many different techniques concerning forecasting the market as a whole, as well as predicting future values of individual securities such as TechTarget. Regardless of method or technology, however, to accurately forecast the stock market is more a matter of luck rather than a particular technique. Nevertheless, trying to predict the stock market accurately is still an essential part of the overall investment decision process. Using different forecasting techniques and comparing the results might improve your chances of accuracy even though unexpected events may often change the market sentiment and impact your forecasting results.
Hype
Prediction
LowEstimatedHigh
29.7232.6035.48
Details
Intrinsic
Valuation
LowRealHigh
25.7728.6535.68
Details
Bollinger
Band Projection (param)
LowMiddleHigh
28.4030.8133.21
Details
6 Analysts
Consensus
LowTargetHigh
30.3033.3036.96
Details
Please note, it is not enough to conduct a financial or market analysis of a single entity such as TechTarget. Your research has to be compared to or analyzed against TechTarget's peers to derive any actionable benefits. When done correctly, TechTarget's competitive analysis will give you plenty of quantitative and qualitative data to validate your investment decisions or develop an entirely new strategy toward taking a position in TechTarget.

Other Forecasting Options for TechTarget

For every potential investor in TechTarget, whether a beginner or expert, TechTarget's price movement is the inherent factor that sparks whether it is viable to invest in it or hold it better. TechTarget Stock price charts are filled with many 'noises.' These noises can hugely alter the decision one can make regarding investing in TechTarget. Basic forecasting techniques help filter out the noise by identifying TechTarget's price trends.

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 Risk & Return  Correlation

TechTarget Technical and Predictive Analytics

The stock market is financially volatile. Despite the volatility, there exist limitless possibilities of gaining profits and building passive income portfolios. With the complexity of TechTarget's price movements, a comprehensive understanding of forecasting methods that an investor can rely on to make the right move is invaluable. These methods predict trends that assist an investor in predicting the movement of TechTarget's current price.

TechTarget Market Strength Events

Market strength indicators help investors to evaluate how TechTarget stock reacts to ongoing and evolving market conditions. The investors can use it to make informed decisions about market timing, and determine when trading TechTarget shares will generate the highest return on investment. By undertsting and applying TechTarget stock market strength indicators, traders can identify TechTarget entry and exit signals to maximize returns.

TechTarget Risk Indicators

The analysis of TechTarget's basic risk indicators is one of the essential steps in accurately forecasting its future price. The process involves identifying the amount of risk involved in TechTarget's investment and either accepting that risk or mitigating it. Along with some essential techniques for forecasting techtarget stock prices, we also provide a set of basic risk indicators that can assist in the individual investment decision or help in hedging the risk of your existing portfolios.
Please note, the risk measures we provide can be used independently or collectively to perform a risk assessment. When comparing two potential investments, we recommend comparing similar equities with homogenous growth potential and valuation from related markets to determine which investment holds the most risk.

Thematic Opportunities

Explore Investment Opportunities

Build portfolios using Macroaxis predefined set of investing ideas. Many of Macroaxis investing ideas can easily outperform a given market. Ideas can also be optimized per your risk profile before portfolio origination is invoked. Macroaxis thematic optimization helps investors identify companies most likely to benefit from changes or shifts in various micro-economic or local macro-level trends. Originating optimal thematic portfolios involves aligning investors' personal views, ideas, and beliefs with their actual investments.
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Additional 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.