General Dynamics Stock Forecast - Polynomial Regression
GDX Stock | EUR 268.10 3.70 1.36% |
The Polynomial Regression forecasted value of General Dynamics on the next trading day is expected to be 265.83 with a mean absolute deviation of 4.45 and the sum of the absolute errors of 271.43. General Stock Forecast is based on your current time horizon. We recommend always using this module together with an analysis of General Dynamics' historical fundamentals, such as revenue growth or operating cash flow patterns.
General |
General Dynamics Polynomial Regression Price Forecast For the 27th of November
Given 90 days horizon, the Polynomial Regression forecasted value of General Dynamics on the next trading day is expected to be 265.83 with a mean absolute deviation of 4.45, mean absolute percentage error of 36.42, and the sum of the absolute errors of 271.43.Please note that although there have been many attempts to predict General 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 General Dynamics' next future price depends linearly on its previous prices and some stochastic term (i.e., imperfectly predictable multiplier).
General Dynamics Stock Forecast Pattern
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General Dynamics Forecasted Value
In the context of forecasting General Dynamics' 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. General Dynamics' downside and upside margins for the forecasting period are 264.19 and 267.46, respectively. We have considered General Dynamics' 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 General Dynamics stock data series using in forecasting. Note that when a statistical model is used to represent General Dynamics 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 | 121.7057 |
Bias | Arithmetic mean of the errors | None |
MAD | Mean absolute deviation | 4.4497 |
MAPE | Mean absolute percentage error | 0.0161 |
SAE | Sum of the absolute errors | 271.4336 |
Predictive Modules for General Dynamics
There are currently many different techniques concerning forecasting the market as a whole, as well as predicting future values of individual securities such as General Dynamics. 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 General Dynamics
For every potential investor in General, whether a beginner or expert, General Dynamics' price movement is the inherent factor that sparks whether it is viable to invest in it or hold it better. General Stock price charts are filled with many 'noises.' These noises can hugely alter the decision one can make regarding investing in General. Basic forecasting techniques help filter out the noise by identifying General Dynamics' price trends.General Dynamics 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 General Dynamics stock to make a market-neutral strategy. Peer analysis of General Dynamics could also be used in its relative valuation, which is a method of valuing General Dynamics by comparing valuation metrics with similar companies.
Risk & Return | Correlation |
General Dynamics 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 General Dynamics' 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 General Dynamics' current price.Cycle Indicators | ||
Math Operators | ||
Math Transform | ||
Momentum Indicators | ||
Overlap Studies | ||
Pattern Recognition | ||
Price Transform | ||
Statistic Functions | ||
Volatility Indicators | ||
Volume Indicators |
General Dynamics Market Strength Events
Market strength indicators help investors to evaluate how General Dynamics stock reacts to ongoing and evolving market conditions. The investors can use it to make informed decisions about market timing, and determine when trading General Dynamics shares will generate the highest return on investment. By undertsting and applying General Dynamics stock market strength indicators, traders can identify General Dynamics entry and exit signals to maximize returns.
Accumulation Distribution | 0.016 | |||
Daily Balance Of Power | (0.85) | |||
Rate Of Daily Change | 0.99 | |||
Day Median Price | 269.27 | |||
Day Typical Price | 268.88 | |||
Market Facilitation Index | 4.35 | |||
Price Action Indicator | (3.02) | |||
Period Momentum Indicator | (3.70) |
General Dynamics Risk Indicators
The analysis of General Dynamics' 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 General Dynamics' investment and either accepting that risk or mitigating it. Along with some essential techniques for forecasting general 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 | 1.15 | |||
Semi Deviation | 1.31 | |||
Standard Deviation | 1.62 | |||
Variance | 2.63 | |||
Downside Variance | 1.9 | |||
Semi Variance | 1.72 | |||
Expected Short fall | (1.38) |
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 Information and Resources on Investing in General Stock
When determining whether General Dynamics is a strong investment it is important to analyze General Dynamics' competitive position within its industry, examining market share, product or service uniqueness, and competitive advantages. Beyond financials and market position, potential investors should also consider broader economic conditions, industry trends, and any regulatory or geopolitical factors that may impact General Dynamics' future performance. For an informed investment choice regarding General Stock, refer to the following important reports:Check out Historical Fundamental Analysis of General Dynamics to cross-verify your projections. For more detail on how to invest in General Stock please use our How to Invest in General Dynamics guide.You can also try the Economic Indicators module to top statistical indicators that provide insights into how an economy is performing.