Friedman Industries Stock Forecast - Simple Exponential Smoothing
| FRD Stock | USD 20.24 0.25 1.22% |
The Simple Exponential Smoothing forecasted value of Friedman Industries Common on the next trading day is expected to be 20.26 with a mean absolute deviation of 0.47 and the sum of the absolute errors of 28.16. Friedman Stock Forecast is based on your current time horizon. Investors can use this forecasting interface to forecast Friedman Industries stock prices and determine the direction of Friedman Industries Common's future trends based on various well-known forecasting models. We recommend always using this module together with an analysis of Friedman Industries' historical fundamentals, such as revenue growth or operating cash flow patterns.
At the present time, The relative strength momentum indicator of Friedman Industries' share price is at 58. This usually indicates that the stock is in nutural position, most likellhy at or near its resistance level. The main idea of RSI analysis is to track how fast people are buying or selling Friedman Industries, making its price go up or down. Momentum 58
Buy Extended
Oversold | Overbought |
Quarterly Earnings Growth (0.33) | Quarterly Revenue Growth 1.802 |
Using Friedman Industries hype-based prediction, you can estimate the value of Friedman Industries Common from the perspective of Friedman Industries response to recently generated media hype and the effects of current headlines on its competitors.
The Simple Exponential Smoothing forecasted value of Friedman Industries Common on the next trading day is expected to be 20.26 with a mean absolute deviation of 0.47 and the sum of the absolute errors of 28.16. Friedman Industries after-hype prediction price | USD 20.24 |
There is no one specific way to measure market sentiment using hype analysis or a similar predictive technique. This prediction method should be used in combination with more fundamental and traditional techniques such as stock price forecasting, technical analysis, analysts consensus, earnings estimates, and various momentum models.
Check out Historical Fundamental Analysis of Friedman Industries to cross-verify your projections. Friedman Industries Additional Predictive Modules
Most predictive techniques to examine Friedman price help traders to determine how to time the market. We provide a combination of tools to recognize potential entry and exit points for Friedman using various technical indicators. When you analyze Friedman charts, please remember that the event formation may indicate an entry point for a short seller, and look at other indicators across different periods to confirm that a breakdown or reversion is likely to occur.| Cycle Indicators | ||
| Math Operators | ||
| Math Transform | ||
| Momentum Indicators | ||
| Overlap Studies | ||
| Pattern Recognition | ||
| Price Transform | ||
| Statistic Functions | ||
| Volatility Indicators | ||
| Volume Indicators |
Friedman Industries Simple Exponential Smoothing Price Forecast For the 6th of January
Given 90 days horizon, the Simple Exponential Smoothing forecasted value of Friedman Industries Common on the next trading day is expected to be 20.26 with a mean absolute deviation of 0.47, mean absolute percentage error of 0.43, and the sum of the absolute errors of 28.16.Please note that although there have been many attempts to predict Friedman 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 Friedman Industries' next future price depends linearly on its previous prices and some stochastic term (i.e., imperfectly predictable multiplier).
Friedman Industries Stock Forecast Pattern
| Backtest Friedman Industries | Friedman Industries Price Prediction | Buy or Sell Advice |
Friedman Industries Forecasted Value
In the context of forecasting Friedman Industries' 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. Friedman Industries' downside and upside margins for the forecasting period are 17.02 and 23.50, respectively. We have considered Friedman Industries' 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 Exponential Smoothing forecasting method's relative quality and the estimations of the prediction error of Friedman Industries stock data series using in forecasting. Note that when a statistical model is used to represent Friedman Industries 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 | 115.425 |
| Bias | Arithmetic mean of the errors | 0.0181 |
| MAD | Mean absolute deviation | 0.4694 |
| MAPE | Mean absolute percentage error | 0.023 |
| SAE | Sum of the absolute errors | 28.1621 |
Predictive Modules for Friedman Industries
There are currently many different techniques concerning forecasting the market as a whole, as well as predicting future values of individual securities such as Friedman Industries. 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 Friedman Industries
For every potential investor in Friedman, whether a beginner or expert, Friedman Industries' price movement is the inherent factor that sparks whether it is viable to invest in it or hold it better. Friedman Stock price charts are filled with many 'noises.' These noises can hugely alter the decision one can make regarding investing in Friedman. Basic forecasting techniques help filter out the noise by identifying Friedman Industries' price trends.Friedman Industries 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 Friedman Industries stock to make a market-neutral strategy. Peer analysis of Friedman Industries could also be used in its relative valuation, which is a method of valuing Friedman Industries by comparing valuation metrics with similar companies.
| Risk & Return | Correlation |
Friedman Industries 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 Friedman Industries' 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 Friedman Industries' current price.| Cycle Indicators | ||
| Math Operators | ||
| Math Transform | ||
| Momentum Indicators | ||
| Overlap Studies | ||
| Pattern Recognition | ||
| Price Transform | ||
| Statistic Functions | ||
| Volatility Indicators | ||
| Volume Indicators |
Friedman Industries Market Strength Events
Market strength indicators help investors to evaluate how Friedman Industries stock reacts to ongoing and evolving market conditions. The investors can use it to make informed decisions about market timing, and determine when trading Friedman Industries shares will generate the highest return on investment. By undertsting and applying Friedman Industries stock market strength indicators, traders can identify Friedman Industries Common entry and exit signals to maximize returns.
Friedman Industries Risk Indicators
The analysis of Friedman Industries' 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 Friedman Industries' investment and either accepting that risk or mitigating it. Along with some essential techniques for forecasting friedman 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 | 2.32 | |||
| Standard Deviation | 3.24 | |||
| Variance | 10.49 |
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.| JBL | Jabil Circuit | |
| MRK | Merck Company | |
| AMGN | Amgen Inc |
Check out Historical Fundamental Analysis of Friedman Industries to cross-verify your projections. You can also try the Risk-Return Analysis module to view associations between returns expected from investment and the risk you assume.
Is Metals & Mining space 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 Friedman Industries. If investors know Friedman 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 Friedman Industries 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 (0.33) | Dividend Share 0.16 | Earnings Share 1.63 | Revenue Per Share | Quarterly Revenue Growth 1.802 |
The market value of Friedman Industries is measured differently than its book value, which is the value of Friedman that is recorded on the company's balance sheet. Investors also form their own opinion of Friedman Industries' value that differs from its market value or its book value, called intrinsic value, which is Friedman Industries' 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 Friedman Industries' market value can be influenced by many factors that don't directly affect Friedman Industries' 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 Friedman Industries' value and its price as these two are different measures arrived at by different means. Investors typically determine if Friedman Industries is a good investment by looking at such factors as earnings, sales, fundamental and technical indicators, competition as well as analyst projections. However, Friedman Industries' 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.