Cognyte Software Stock Forecast - Naive Prediction
| CGNT Stock | USD 8.13 0.67 8.98% |
The Naive Prediction forecasted value of Cognyte Software on the next trading day is expected to be 8.25 with a mean absolute deviation of 0.19 and the sum of the absolute errors of 11.44. Cognyte Stock Forecast is based on your current time horizon.
Cognyte |
Forecasting cash, or other financial indicators, requires analysts to apply different statistical methods, techniques, and algorithms to find hidden patterns within the Cognyte Software's financial statements to predict how it will affect future prices.
Cash | First Reported 1992-01-31 | Previous Quarter 98.8 M | Current Value 91.7 M | Quarterly Volatility 49.6 M |
Cognyte Software Naive Prediction Price Forecast For the 23rd of November
Given 90 days horizon, the Naive Prediction forecasted value of Cognyte Software on the next trading day is expected to be 8.25 with a mean absolute deviation of 0.19, mean absolute percentage error of 0.05, and the sum of the absolute errors of 11.44.Please note that although there have been many attempts to predict Cognyte 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 Cognyte Software's next future price depends linearly on its previous prices and some stochastic term (i.e., imperfectly predictable multiplier).
Cognyte Software Stock Forecast Pattern
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Cognyte Software Forecasted Value
In the context of forecasting Cognyte Software'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. Cognyte Software's downside and upside margins for the forecasting period are 5.11 and 11.38, respectively. We have considered Cognyte Software'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.
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 Cognyte Software stock data series using in forecasting. Note that when a statistical model is used to represent Cognyte Software 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.| AIC | Akaike Information Criteria | 115.1781 |
| Bias | Arithmetic mean of the errors | None |
| MAD | Mean absolute deviation | 0.1875 |
| MAPE | Mean absolute percentage error | 0.0272 |
| SAE | Sum of the absolute errors | 11.439 |
Predictive Modules for Cognyte Software
There are currently many different techniques concerning forecasting the market as a whole, as well as predicting future values of individual securities such as Cognyte Software. 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.Other Forecasting Options for Cognyte Software
For every potential investor in Cognyte, whether a beginner or expert, Cognyte Software's price movement is the inherent factor that sparks whether it is viable to invest in it or hold it better. Cognyte Stock price charts are filled with many 'noises.' These noises can hugely alter the decision one can make regarding investing in Cognyte. Basic forecasting techniques help filter out the noise by identifying Cognyte Software's price trends.Cognyte Software 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 Cognyte Software stock to make a market-neutral strategy. Peer analysis of Cognyte Software could also be used in its relative valuation, which is a method of valuing Cognyte Software by comparing valuation metrics with similar companies.
| Risk & Return | Correlation |
Cognyte Software 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 Cognyte Software'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 Cognyte Software's current price.| Cycle Indicators | ||
| Math Operators | ||
| Math Transform | ||
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| Pattern Recognition | ||
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| Volume Indicators |
Cognyte Software Market Strength Events
Market strength indicators help investors to evaluate how Cognyte Software stock reacts to ongoing and evolving market conditions. The investors can use it to make informed decisions about market timing, and determine when trading Cognyte Software shares will generate the highest return on investment. By undertsting and applying Cognyte Software stock market strength indicators, traders can identify Cognyte Software entry and exit signals to maximize returns.
Cognyte Software Risk Indicators
The analysis of Cognyte Software'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 Cognyte Software's investment and either accepting that risk or mitigating it. Along with some essential techniques for forecasting cognyte 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.
| Mean Deviation | 2.1 | |||
| Semi Deviation | 2.66 | |||
| Standard Deviation | 3.13 | |||
| Variance | 9.8 | |||
| Downside Variance | 8.36 | |||
| Semi Variance | 7.08 | |||
| Expected Short fall | (2.48) |
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.
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Additional Tools for Cognyte Stock Analysis
When running Cognyte Software's price analysis, check to measure Cognyte Software'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 Cognyte Software is operating at the current time. Most of Cognyte Software's value examination focuses on studying past and present price action to predict the probability of Cognyte Software's future price movements. You can analyze the entity against its peers and the financial market as a whole to determine factors that move Cognyte Software's price. Additionally, you may evaluate how the addition of Cognyte Software to your portfolios can decrease your overall portfolio volatility.