G1 Secure Stock Forecast - Simple Moving Average
| GOSS Stock | 505.90 3.10 0.61% |
The Simple Moving Average forecasted value of G1 Secure Solutions on the next trading day is expected to be 505.90 with a mean absolute deviation of 8.41 and the sum of the absolute errors of 496.03. GOSS Stock Forecast is based on your current time horizon. Investors can use this forecasting interface to forecast G1 Secure stock prices and determine the direction of G1 Secure Solutions's future trends based on various well-known forecasting models. We recommend always using this module together with an analysis of G1 Secure's historical fundamentals, such as revenue growth or operating cash flow patterns.
GOSS |
G1 Secure Simple Moving Average Price Forecast For the 29th of December
Given 90 days horizon, the Simple Moving Average forecasted value of G1 Secure Solutions on the next trading day is expected to be 505.90 with a mean absolute deviation of 8.41, mean absolute percentage error of 123.46, and the sum of the absolute errors of 496.03.Please note that although there have been many attempts to predict GOSS 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 G1 Secure's next future price depends linearly on its previous prices and some stochastic term (i.e., imperfectly predictable multiplier).
G1 Secure Stock Forecast Pattern
| Backtest G1 Secure | G1 Secure Price Prediction | Buy or Sell Advice |
G1 Secure Forecasted Value
In the context of forecasting G1 Secure'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. G1 Secure's downside and upside margins for the forecasting period are 503.85 and 507.95, respectively. We have considered G1 Secure'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 Simple Moving Average forecasting method's relative quality and the estimations of the prediction error of G1 Secure stock data series using in forecasting. Note that when a statistical model is used to represent G1 Secure 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 | 119.2507 |
| Bias | Arithmetic mean of the errors | -0.6678 |
| MAD | Mean absolute deviation | 8.4073 |
| MAPE | Mean absolute percentage error | 0.0183 |
| SAE | Sum of the absolute errors | 496.03 |
Predictive Modules for G1 Secure
There are currently many different techniques concerning forecasting the market as a whole, as well as predicting future values of individual securities such as G1 Secure Solutions. 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 G1 Secure
For every potential investor in GOSS, whether a beginner or expert, G1 Secure's price movement is the inherent factor that sparks whether it is viable to invest in it or hold it better. GOSS Stock price charts are filled with many 'noises.' These noises can hugely alter the decision one can make regarding investing in GOSS. Basic forecasting techniques help filter out the noise by identifying G1 Secure's price trends.G1 Secure 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 G1 Secure stock to make a market-neutral strategy. Peer analysis of G1 Secure could also be used in its relative valuation, which is a method of valuing G1 Secure by comparing valuation metrics with similar companies.
| Risk & Return | Correlation |
G1 Secure Solutions 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 G1 Secure'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 G1 Secure's current price.| Cycle Indicators | ||
| Math Operators | ||
| Math Transform | ||
| Momentum Indicators | ||
| Overlap Studies | ||
| Pattern Recognition | ||
| Price Transform | ||
| Statistic Functions | ||
| Volatility Indicators | ||
| Volume Indicators |
G1 Secure Market Strength Events
Market strength indicators help investors to evaluate how G1 Secure stock reacts to ongoing and evolving market conditions. The investors can use it to make informed decisions about market timing, and determine when trading G1 Secure shares will generate the highest return on investment. By undertsting and applying G1 Secure stock market strength indicators, traders can identify G1 Secure Solutions entry and exit signals to maximize returns.
G1 Secure Risk Indicators
The analysis of G1 Secure'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 G1 Secure's investment and either accepting that risk or mitigating it. Along with some essential techniques for forecasting goss 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 | 1.56 | |||
| Semi Deviation | 2.32 | |||
| Standard Deviation | 2.22 | |||
| Variance | 4.91 | |||
| Downside Variance | 6.8 | |||
| Semi Variance | 5.4 | |||
| Expected Short fall | (1.50) |
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.Other Information on Investing in GOSS Stock
G1 Secure financial ratios help investors to determine whether GOSS Stock is cheap or expensive when compared to a particular measure, such as profits or enterprise value. In other words, they help investors to determine the cost of investment in GOSS with respect to the benefits of owning G1 Secure security.