Gilat Satellite Stock Forecast - 4 Period Moving Average
| GILT Stock | ILA 1,991 6.00 0.30% |
The 4 Period Moving Average forecasted value of Gilat Satellite Networks on the next trading day is expected to be 1,992 with a mean absolute deviation of 61.80 and the sum of the absolute errors of 3,522. Gilat Stock Forecast is based on your current time horizon. Investors can use this forecasting interface to forecast Gilat Satellite stock prices and determine the direction of Gilat Satellite Networks's future trends based on various well-known forecasting models. We recommend always using this module together with an analysis of Gilat Satellite's historical fundamentals, such as revenue growth or operating cash flow patterns.
Check out Historical Fundamental Analysis of Gilat Satellite to cross-verify your projections. Gilat |
Most investors in Gilat Satellite 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 Gilat Satellite's time series price data and predict how it will affect future prices. One of these methodologies is forecasting, which interprets Gilat Satellite's price structures and extracts relationships that further increase the generated results' accuracy.
A four-period moving average forecast model for Gilat Satellite Networks is based on an artificially constructed daily price series in which the value for a given day is replaced by the mean of that value and the values for four preceding and succeeding time periods. This model is best suited to forecast equities with high volatility. Gilat Satellite 4 Period Moving Average Price Forecast For the 24th of April
Given 90 days horizon, the 4 Period Moving Average forecasted value of Gilat Satellite Networks on the next trading day is expected to be 1,992 with a mean absolute deviation of 61.80, mean absolute percentage error of 5,882, and the sum of the absolute errors of 3,522.Please note that although there have been many attempts to predict Gilat 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 Gilat Satellite's next future price depends linearly on its previous prices and some stochastic term (i.e., imperfectly predictable multiplier).
Gilat Satellite Stock Forecast Pattern
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Gilat Satellite Forecasted Value
In the context of forecasting Gilat Satellite'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. Gilat Satellite's downside and upside margins for the forecasting period are 1,989 and 1,995, respectively. We have considered Gilat Satellite'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 4 Period Moving Average forecasting method's relative quality and the estimations of the prediction error of Gilat Satellite stock data series using in forecasting. Note that when a statistical model is used to represent Gilat Satellite 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 | 119.4387 |
| Bias | Arithmetic mean of the errors | 10.5965 |
| MAD | Mean absolute deviation | 61.7982 |
| MAPE | Mean absolute percentage error | 0.0286 |
| SAE | Sum of the absolute errors | 3522.5 |
Predictive Modules for Gilat Satellite
There are currently many different techniques concerning forecasting the market as a whole, as well as predicting future values of individual securities such as Gilat Satellite Networks. 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 Gilat Satellite'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.
Other Forecasting Options for Gilat Satellite
For every potential investor in Gilat, whether a beginner or expert, Gilat Satellite's price movement is the inherent factor that sparks whether it is viable to invest in it or hold it better. Gilat Stock price charts are filled with many 'noises.' These noises can hugely alter the decision one can make regarding investing in Gilat. Basic forecasting techniques help filter out the noise by identifying Gilat Satellite's price trends.Gilat Satellite 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 Gilat Satellite stock to make a market-neutral strategy. Peer analysis of Gilat Satellite could also be used in its relative valuation, which is a method of valuing Gilat Satellite by comparing valuation metrics with similar companies.
| Risk & Return | Correlation |
Gilat Satellite Networks 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 Gilat Satellite'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 Gilat Satellite's current price.| Cycle Indicators | ||
| Math Operators | ||
| Math Transform | ||
| Momentum Indicators | ||
| Overlap Studies | ||
| Pattern Recognition | ||
| Price Transform | ||
| Statistic Functions | ||
| Volatility Indicators | ||
| Volume Indicators |
Gilat Satellite Market Strength Events
Market strength indicators help investors to evaluate how Gilat Satellite stock reacts to ongoing and evolving market conditions. The investors can use it to make informed decisions about market timing, and determine when trading Gilat Satellite shares will generate the highest return on investment. By undertsting and applying Gilat Satellite stock market strength indicators, traders can identify Gilat Satellite Networks entry and exit signals to maximize returns.
Gilat Satellite Risk Indicators
The analysis of Gilat Satellite'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 Gilat Satellite's investment and either accepting that risk or mitigating it. Along with some essential techniques for forecasting gilat 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 | 1.85 | |||
| Standard Deviation | 2.34 | |||
| Variance | 5.45 |
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.
Some investors attempt to determine whether the market's mood is bullish or bearish by monitoring changes in market sentiment. Unlike more traditional methods such as technical analysis, investor sentiment usually refers to the aggregate attitude towards Gilat Satellite in the overall investment community. So, suppose investors can accurately measure the market's sentiment. In that case, they can use it for their benefit. For example, some tools to gauge market sentiment could be utilized using contrarian indexes, Gilat Satellite's short interest history, or implied volatility extrapolated from Gilat Satellite options trading.
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Try AI Portfolio ArchitectCheck out Historical Fundamental Analysis of Gilat Satellite to cross-verify your projections. You can also try the Stocks Directory module to find actively traded stocks across global markets.
Complementary Tools for Gilat Stock analysis
When running Gilat Satellite's price analysis, check to measure Gilat Satellite'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 Gilat Satellite is operating at the current time. Most of Gilat Satellite's value examination focuses on studying past and present price action to predict the probability of Gilat Satellite's future price movements. You can analyze the entity against its peers and the financial market as a whole to determine factors that move Gilat Satellite's price. Additionally, you may evaluate how the addition of Gilat Satellite to your portfolios can decrease your overall portfolio volatility.
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