Senstar Technologies Stock Forecast - Naive Prediction
| SNT Stock | USD 2.70 0.07 2.66% |
The Naive Prediction forecasted value of Senstar Technologies on the next trading day is expected to be 3.16 with a mean absolute deviation of 0.04 and the sum of the absolute errors of 2.51. Senstar Stock Forecast is based on your current time horizon.
Senstar |
Forecasting cash, or other financial indicators, requires analysts to apply different statistical methods, techniques, and algorithms to find hidden patterns within the Senstar Technologies' financial statements to predict how it will affect future prices.
Cash | First Reported 1993-12-31 | Previous Quarter 15.7 M | Current Value 15.1 M | Quarterly Volatility 13.1 M |
Senstar Technologies Naive Prediction Price Forecast For the 20th of November
Given 90 days horizon, the Naive Prediction forecasted value of Senstar Technologies on the next trading day is expected to be 3.16 with a mean absolute deviation of 0.04, mean absolute percentage error of 0.01, and the sum of the absolute errors of 2.51.Please note that although there have been many attempts to predict Senstar 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 Senstar Technologies' next future price depends linearly on its previous prices and some stochastic term (i.e., imperfectly predictable multiplier).
Senstar Technologies Stock Forecast Pattern
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Senstar Technologies Forecasted Value
In the context of forecasting Senstar Technologies' 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. Senstar Technologies' downside and upside margins for the forecasting period are 0.03 and 7.46, respectively. We have considered Senstar Technologies' 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 Senstar Technologies stock data series using in forecasting. Note that when a statistical model is used to represent Senstar Technologies 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 | 112.8172 |
| Bias | Arithmetic mean of the errors | None |
| MAD | Mean absolute deviation | 0.0411 |
| MAPE | Mean absolute percentage error | 0.0227 |
| SAE | Sum of the absolute errors | 2.5062 |
Predictive Modules for Senstar Technologies
There are currently many different techniques concerning forecasting the market as a whole, as well as predicting future values of individual securities such as Senstar Technologies. 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 Senstar Technologies
For every potential investor in Senstar, whether a beginner or expert, Senstar Technologies' price movement is the inherent factor that sparks whether it is viable to invest in it or hold it better. Senstar Stock price charts are filled with many 'noises.' These noises can hugely alter the decision one can make regarding investing in Senstar. Basic forecasting techniques help filter out the noise by identifying Senstar Technologies' price trends.Senstar Technologies 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 Senstar Technologies stock to make a market-neutral strategy. Peer analysis of Senstar Technologies could also be used in its relative valuation, which is a method of valuing Senstar Technologies by comparing valuation metrics with similar companies.
| Risk & Return | Correlation |
Senstar Technologies 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 Senstar Technologies' 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 Senstar Technologies' current price.| Cycle Indicators | ||
| Math Operators | ||
| Math Transform | ||
| Momentum Indicators | ||
| Overlap Studies | ||
| Pattern Recognition | ||
| Price Transform | ||
| Statistic Functions | ||
| Volatility Indicators | ||
| Volume Indicators |
Senstar Technologies Market Strength Events
Market strength indicators help investors to evaluate how Senstar Technologies stock reacts to ongoing and evolving market conditions. The investors can use it to make informed decisions about market timing, and determine when trading Senstar Technologies shares will generate the highest return on investment. By undertsting and applying Senstar Technologies stock market strength indicators, traders can identify Senstar Technologies entry and exit signals to maximize returns.
Senstar Technologies Risk Indicators
The analysis of Senstar Technologies' 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 Senstar Technologies' investment and either accepting that risk or mitigating it. Along with some essential techniques for forecasting senstar 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 | 2.11 | |||
| Semi Deviation | 0.8098 | |||
| Standard Deviation | 4.25 | |||
| Variance | 18.02 | |||
| Downside Variance | 2.47 | |||
| Semi Variance | 0.6558 | |||
| Expected Short fall | (3.49) |
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 Senstar Stock Analysis
When running Senstar Technologies' price analysis, check to measure Senstar Technologies' 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 Senstar Technologies is operating at the current time. Most of Senstar Technologies' value examination focuses on studying past and present price action to predict the probability of Senstar Technologies' future price movements. You can analyze the entity against its peers and the financial market as a whole to determine factors that move Senstar Technologies' price. Additionally, you may evaluate how the addition of Senstar Technologies to your portfolios can decrease your overall portfolio volatility.