Cognex Stock Forecast - Naive Prediction

CGNX Stock  USD 39.63  1.12  2.75%   
The Naive Prediction forecasted value of Cognex on the next trading day is expected to be 37.91 with a mean absolute deviation of 1.01 and the sum of the absolute errors of 61.32. Cognex Stock Forecast is based on your current time horizon.
  
At this time, Cognex's Fixed Asset Turnover is fairly stable compared to the past year. Asset Turnover is likely to rise to 0.58 in 2024, whereas Inventory Turnover is likely to drop 1.38 in 2024. . Common Stock Shares Outstanding is likely to rise to about 186.3 M in 2024, whereas Net Income Applicable To Common Shares is likely to drop slightly above 124.2 M in 2024.
Most investors in Cognex cannot accurately predict what will happen the next trading day because, historically, stock markets tend to be unpredictable and even illogical. Modeling turbulent structures requires applying different statistical methods, techniques, and algorithms to find hidden data structures or patterns within the Cognex's time series price data and predict how it will affect future prices. One of these methodologies is forecasting, which interprets Cognex's price structures and extracts relationships that further increase the accuracy of the generated results.
 
Cash  
First Reported
1989-06-30
Previous Quarter
138.9 M
Current Value
176.6 M
Quarterly Volatility
222 M
 
Oil Shock
 
Dot-com Bubble
 
Housing Crash
 
Credit Downgrade
 
Yuan Drop
 
Covid
A naive forecasting model for Cognex is a special case of the moving average forecasting where the number of periods used for smoothing is one. Therefore, the forecast of Cognex 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.

Cognex Naive Prediction Price Forecast For the 23rd of October

Given 90 days horizon, the Naive Prediction forecasted value of Cognex on the next trading day is expected to be 37.91 with a mean absolute deviation of 1.01, mean absolute percentage error of 1.88, and the sum of the absolute errors of 61.32.
Please note that although there have been many attempts to predict Cognex 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 Cognex's next future price depends linearly on its previous prices and some stochastic term (i.e., imperfectly predictable multiplier).

Cognex Stock Forecast Pattern

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Cognex Forecasted Value

In the context of forecasting Cognex'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. Cognex's downside and upside margins for the forecasting period are 34.67 and 41.16, respectively. We have considered Cognex'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
39.63
37.91
Expected Value
41.16
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 Cognex stock data series using in forecasting. Note that when a statistical model is used to represent Cognex 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 Criteria118.7404
BiasArithmetic mean of the errors None
MADMean absolute deviation1.0052
MAPEMean absolute percentage error0.0252
SAESum of the absolute errors61.3167
This model is not at all useful as a medium-long range forecasting tool of Cognex. 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 Cognex. 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 Cognex

There are currently many different techniques concerning forecasting the market as a whole, as well as predicting future values of individual securities such as Cognex. 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.
Sophisticated investors, who have witnessed many market ups and downs, anticipate that the market will even out over time. This tendency of Cognex's price to converge to an average value over time is called mean reversion. However, historically, high market prices usually discourage investors that believe in mean reversion to invest, while low prices are viewed as an opportunity to buy.
Hype
Prediction
LowEstimatedHigh
36.4239.6742.92
Details
Intrinsic
Valuation
LowRealHigh
35.6747.1450.39
Details
Bollinger
Band Projection (param)
LowMiddleHigh
39.1940.1241.06
Details
20 Analysts
Consensus
LowTargetHigh
48.1052.8658.67
Details

Other Forecasting Options for Cognex

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

Cognex Related Equities

One of the popular trading techniques among algorithmic traders is to use market-neutral strategies where every trade hedges away some risk. Because there are two separate transactions required, even if one position performs unexpectedly, the other equity can make up some of the losses. Below are some of the equities that can be combined with Cognex stock to make a market-neutral strategy. Peer analysis of Cognex could also be used in its relative valuation, which is a method of valuing Cognex by comparing valuation metrics with similar companies.
 Risk & Return  Correlation

Cognex 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 Cognex'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 Cognex's current price.

Cognex Market Strength Events

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

Cognex Risk Indicators

The analysis of Cognex'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 Cognex's investment and either accepting that risk or mitigating it. Along with some essential techniques for forecasting cognex 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.

Also Currently Popular

Analyzing currently trending equities could be an opportunity to develop a better portfolio based on different market momentums that they can trigger. Utilizing the top trending stocks is also useful when creating a market-neutral strategy or pair trading technique involving a short or a long position in a currently trending equity.

Additional Tools for Cognex Stock Analysis

When running Cognex's price analysis, check to measure Cognex'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 Cognex is operating at the current time. Most of Cognex's value examination focuses on studying past and present price action to predict the probability of Cognex's future price movements. You can analyze the entity against its peers and the financial market as a whole to determine factors that move Cognex's price. Additionally, you may evaluate how the addition of Cognex to your portfolios can decrease your overall portfolio volatility.