Frequency Electronics Stock Forecast - 20 Period Moving Average
FEIM Stock | USD 9.53 0.09 0.95% |
The 20 Period Moving Average forecasted value of Frequency Electronics on the next trading day is expected to be 9.57 with a mean absolute deviation of 0.26 and the sum of the absolute errors of 10.82. Frequency Stock Forecast is based on your current time horizon. Investors can use this forecasting interface to forecast Frequency Electronics stock prices and determine the direction of Frequency Electronics's future trends based on various well-known forecasting models. We recommend always using this module together with an analysis of Frequency Electronics' historical fundamentals, such as revenue growth or operating cash flow patterns. Although Frequency Electronics' naive historical forecasting may sometimes provide an important future outlook for the firm, we recommend always cross-verifying it against solid analysis of Frequency Electronics' systematic risk associated with finding meaningful patterns of Frequency Electronics fundamentals over time.
Check out Historical Fundamental Analysis of Frequency Electronics to cross-verify your projections. Frequency |
Most investors in Frequency Electronics 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 Frequency Electronics' time series price data and predict how it will affect future prices. One of these methodologies is forecasting, which interprets Frequency Electronics' price structures and extracts relationships that further increase the generated results' accuracy.
A commonly used 20-period moving average forecast model for Frequency Electronics is based on a synthetically constructed Frequency Electronicsdaily price series in which the value for a trading day is replaced by the mean of that value and the values for 20 of preceding and succeeding time periods. This model is best suited for price series data that changes over time. Frequency Electronics 20 Period Moving Average Price Forecast For the 30th of May
Given 90 days horizon, the 20 Period Moving Average forecasted value of Frequency Electronics on the next trading day is expected to be 9.57 with a mean absolute deviation of 0.26, mean absolute percentage error of 0.10, and the sum of the absolute errors of 10.82.Please note that although there have been many attempts to predict Frequency 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 Frequency Electronics' next future price depends linearly on its previous prices and some stochastic term (i.e., imperfectly predictable multiplier).
Frequency Electronics Stock Forecast Pattern
Backtest Frequency Electronics | Frequency Electronics Price Prediction | Buy or Sell Advice |
Frequency Electronics Forecasted Value
In the context of forecasting Frequency Electronics' 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. Frequency Electronics' downside and upside margins for the forecasting period are 7.54 and 11.61, respectively. We have considered Frequency Electronics' 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 20 Period Moving Average forecasting method's relative quality and the estimations of the prediction error of Frequency Electronics stock data series using in forecasting. Note that when a statistical model is used to represent Frequency Electronics 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 | 80.9186 |
Bias | Arithmetic mean of the errors | 0.231 |
MAD | Mean absolute deviation | 0.2576 |
MAPE | Mean absolute percentage error | 0.0264 |
SAE | Sum of the absolute errors | 10.821 |
Predictive Modules for Frequency Electronics
There are currently many different techniques concerning forecasting the market as a whole, as well as predicting future values of individual securities such as Frequency Electronics. 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 Frequency Electronics' 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 Frequency Electronics
For every potential investor in Frequency, whether a beginner or expert, Frequency Electronics' price movement is the inherent factor that sparks whether it is viable to invest in it or hold it better. Frequency Stock price charts are filled with many 'noises.' These noises can hugely alter the decision one can make regarding investing in Frequency. Basic forecasting techniques help filter out the noise by identifying Frequency Electronics' price trends.Frequency Electronics 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 Frequency Electronics stock to make a market-neutral strategy. Peer analysis of Frequency Electronics could also be used in its relative valuation, which is a method of valuing Frequency Electronics by comparing valuation metrics with similar companies.
Risk & Return | Correlation |
Frequency Electronics 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 Frequency Electronics' 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 Frequency Electronics' current price.Cycle Indicators | ||
Math Operators | ||
Math Transform | ||
Momentum Indicators | ||
Overlap Studies | ||
Pattern Recognition | ||
Price Transform | ||
Statistic Functions | ||
Volatility Indicators | ||
Volume Indicators |
Frequency Electronics Market Strength Events
Market strength indicators help investors to evaluate how Frequency Electronics stock reacts to ongoing and evolving market conditions. The investors can use it to make informed decisions about market timing, and determine when trading Frequency Electronics shares will generate the highest return on investment. By undertsting and applying Frequency Electronics stock market strength indicators, traders can identify Frequency Electronics entry and exit signals to maximize returns.
Frequency Electronics Risk Indicators
The analysis of Frequency Electronics' 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 Frequency Electronics' investment and either accepting that risk or mitigating it. Along with some essential techniques for forecasting frequency 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 | 1.29 | |||
Standard Deviation | 1.97 | |||
Variance | 3.89 |
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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Check out Historical Fundamental Analysis of Frequency Electronics to cross-verify your projections. To learn how to invest in Frequency Stock, please use our How to Invest in Frequency Electronics guide.You can also try the Commodity Directory module to find actively traded commodities issued by global exchanges.
Complementary Tools for Frequency Stock analysis
When running Frequency Electronics' price analysis, check to measure Frequency Electronics' 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 Frequency Electronics is operating at the current time. Most of Frequency Electronics' value examination focuses on studying past and present price action to predict the probability of Frequency Electronics' future price movements. You can analyze the entity against its peers and the financial market as a whole to determine factors that move Frequency Electronics' price. Additionally, you may evaluate how the addition of Frequency Electronics to your portfolios can decrease your overall portfolio volatility.
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Is Frequency Electronics' industry expected to grow? Or is there an opportunity to expand the business' product line in the future? Factors like these will boost the valuation of Frequency Electronics. If investors know Frequency will grow in the future, the company's valuation will be higher. The financial industry is built on trying to define current growth potential and future valuation accurately. All the valuation information about Frequency Electronics listed above have to be considered, but the key to understanding future value is determining which factors weigh more heavily than others.
Quarterly Earnings Growth 0.394 | Earnings Share 0.35 | Revenue Per Share 5.608 | Return On Assets 0.0238 | Return On Equity 0.0931 |
The market value of Frequency Electronics is measured differently than its book value, which is the value of Frequency that is recorded on the company's balance sheet. Investors also form their own opinion of Frequency Electronics' value that differs from its market value or its book value, called intrinsic value, which is Frequency Electronics' true underlying value. Investors use various methods to calculate intrinsic value and buy a stock when its market value falls below its intrinsic value. Because Frequency Electronics' market value can be influenced by many factors that don't directly affect Frequency Electronics' underlying business (such as a pandemic or basic market pessimism), market value can vary widely from intrinsic value.
Please note, there is a significant difference between Frequency Electronics' value and its price as these two are different measures arrived at by different means. Investors typically determine if Frequency Electronics is a good investment by looking at such factors as earnings, sales, fundamental and technical indicators, competition as well as analyst projections. However, Frequency Electronics' price is the amount at which it trades on the open market and represents the number that a seller and buyer find agreeable to each party.