Ginegar Stock Forecast - Polynomial Regression
| GNGR Stock | ILS 950.00 50.00 5.56% |
The Polynomial Regression forecasted value of Ginegar on the next trading day is expected to be 909.13 with a mean absolute deviation of 17.94 and the sum of the absolute errors of 1,094. Ginegar Stock Forecast is based on your current time horizon. Investors can use this forecasting interface to forecast Ginegar stock prices and determine the direction of Ginegar's future trends based on various well-known forecasting models. We recommend always using this module together with an analysis of Ginegar's historical fundamentals, such as revenue growth or operating cash flow patterns.
Check out Historical Fundamental Analysis of Ginegar to cross-verify your projections. Ginegar |
Most investors in Ginegar 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 Ginegar's time series price data and predict how it will affect future prices. One of these methodologies is forecasting, which interprets Ginegar's price structures and extracts relationships that further increase the generated results' accuracy.
Ginegar polinomial regression implements a single variable polynomial regression model using the daily prices as the independent variable. The coefficients of the regression for Ginegar as well as the accuracy indicators are determined from the period prices. Ginegar Polynomial Regression Price Forecast For the 20th of April
Given 90 days horizon, the Polynomial Regression forecasted value of Ginegar on the next trading day is expected to be 909.13 with a mean absolute deviation of 17.94, mean absolute percentage error of 496.35, and the sum of the absolute errors of 1,094.Please note that although there have been many attempts to predict Ginegar 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 Ginegar's next future price depends linearly on its previous prices and some stochastic term (i.e., imperfectly predictable multiplier).
Ginegar Stock Forecast Pattern
| Backtest Ginegar | Ginegar Price Prediction | Buy or Sell Advice |
Ginegar Forecasted Value
In the context of forecasting Ginegar'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. Ginegar's downside and upside margins for the forecasting period are 906.35 and 911.91, respectively. We have considered Ginegar'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 Polynomial Regression forecasting method's relative quality and the estimations of the prediction error of Ginegar stock data series using in forecasting. Note that when a statistical model is used to represent Ginegar 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 | 124.3178 |
| Bias | Arithmetic mean of the errors | None |
| MAD | Mean absolute deviation | 17.9352 |
| MAPE | Mean absolute percentage error | 0.0197 |
| SAE | Sum of the absolute errors | 1094.049 |
Predictive Modules for Ginegar
There are currently many different techniques concerning forecasting the market as a whole, as well as predicting future values of individual securities such as Ginegar. 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 Ginegar'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 Ginegar
For every potential investor in Ginegar, whether a beginner or expert, Ginegar's price movement is the inherent factor that sparks whether it is viable to invest in it or hold it better. Ginegar Stock price charts are filled with many 'noises.' These noises can hugely alter the decision one can make regarding investing in Ginegar. Basic forecasting techniques help filter out the noise by identifying Ginegar's price trends.Ginegar 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 Ginegar stock to make a market-neutral strategy. Peer analysis of Ginegar could also be used in its relative valuation, which is a method of valuing Ginegar by comparing valuation metrics with similar companies.
| Risk & Return | Correlation |
Ginegar 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 Ginegar'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 Ginegar's current price.| Cycle Indicators | ||
| Math Operators | ||
| Math Transform | ||
| Momentum Indicators | ||
| Overlap Studies | ||
| Pattern Recognition | ||
| Price Transform | ||
| Statistic Functions | ||
| Volatility Indicators | ||
| Volume Indicators |
Ginegar Market Strength Events
Market strength indicators help investors to evaluate how Ginegar stock reacts to ongoing and evolving market conditions. The investors can use it to make informed decisions about market timing, and determine when trading Ginegar shares will generate the highest return on investment. By undertsting and applying Ginegar stock market strength indicators, traders can identify Ginegar entry and exit signals to maximize returns.
Ginegar Risk Indicators
The analysis of Ginegar'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 Ginegar's investment and either accepting that risk or mitigating it. Along with some essential techniques for forecasting ginegar 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 | 1.63 | |||
| Semi Deviation | 2.19 | |||
| Standard Deviation | 2.66 | |||
| Variance | 7.09 | |||
| Downside Variance | 7.92 | |||
| Semi Variance | 4.81 | |||
| Expected Short fall | (1.85) |
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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Try AI Portfolio ArchitectCheck out Historical Fundamental Analysis of Ginegar to cross-verify your projections. You can also try the Odds Of Bankruptcy module to get analysis of equity chance of financial distress in the next 2 years.
Complementary Tools for Ginegar Stock analysis
When running Ginegar's price analysis, check to measure Ginegar'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 Ginegar is operating at the current time. Most of Ginegar's value examination focuses on studying past and present price action to predict the probability of Ginegar's future price movements. You can analyze the entity against its peers and the financial market as a whole to determine factors that move Ginegar's price. Additionally, you may evaluate how the addition of Ginegar to your portfolios can decrease your overall portfolio volatility.
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