Commercial Metals Stock Forward View - Polynomial Regression
| CMC Stock | USD 82.99 2.43 3.02% |
Commercial Stock outlook is based on your current time horizon. Investors can use this forecasting interface to forecast Commercial Metals stock prices and determine the direction of Commercial Metals's future trends based on various well-known forecasting models. We suggest always using this module together with an analysis of Commercial Metals' historical fundamentals, such as revenue growth or operating cash flow patterns.
At the present time the relative strength momentum indicator of Commercial Metals' share price is below 20 suggesting that the stock is significantly oversold. The fundamental principle of the Relative Strength Index (RSI) is to quantify the velocity at which market participants are driving the price of a financial instrument upwards or downwards. Momentum 0
Sell Peaked
Oversold | Overbought |
Using Commercial Metals hype-based prediction, you can estimate the value of Commercial Metals from the perspective of Commercial Metals response to recently generated media hype and the effects of current headlines on its competitors.
The Polynomial Regression forecasted value of Commercial Metals on the next trading day is expected to be 82.31 with a mean absolute deviation of 1.33 and the sum of the absolute errors of 81.06. Commercial Metals after-hype prediction price | USD 82.88 |
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.
Commercial | Build AI portfolio with Commercial Stock |
Commercial Metals Additional Predictive Modules
Most predictive techniques to examine Commercial price help traders to determine how to time the market. We provide a combination of tools to recognize potential entry and exit points for Commercial using various technical indicators. When you analyze Commercial 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 |
Commercial Metals Polynomial Regression Price Forecast For the 7th of February
Given 90 days horizon, the Polynomial Regression forecasted value of Commercial Metals on the next trading day is expected to be 82.31 with a mean absolute deviation of 1.33, mean absolute percentage error of 2.92, and the sum of the absolute errors of 81.06.Please note that although there have been many attempts to predict Commercial Stock prices using its time series forecasting, we generally do not suggest using it to place bets in the real market. The most commonly used models for forecasting predictions are the autoregressive models, which specify that Commercial Metals' next future price depends linearly on its previous prices and some stochastic term (i.e., imperfectly predictable multiplier).
Commercial Metals Stock Forecast Pattern
| Backtest Commercial Metals | Commercial Metals Price Prediction | Research Analysis |
Commercial Metals Forecasted Value
In the context of forecasting Commercial Metals' 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. Commercial Metals' downside and upside margins for the forecasting period are 80.37 and 84.25, respectively. We have considered Commercial Metals' 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 Commercial Metals stock data series using in forecasting. Note that when a statistical model is used to represent Commercial Metals 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 | 119.1831 |
| Bias | Arithmetic mean of the errors | None |
| MAD | Mean absolute deviation | 1.3289 |
| MAPE | Mean absolute percentage error | 0.0197 |
| SAE | Sum of the absolute errors | 81.0612 |
Predictive Modules for Commercial Metals
There are currently many different techniques concerning forecasting the market as a whole, as well as predicting future values of individual securities such as Commercial Metals. 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.Commercial Metals After-Hype Price Density Analysis
As far as predicting the price of Commercial Metals at your current risk attitude, this probability distribution graph shows the chance that the prediction will fall between or within a specific range. We use this chart to confirm that your returns on investing in Commercial Metals or, for that matter, your successful expectations of its future price, cannot be replicated consistently. Please note, a large amount of money has been lost over the years by many investors who confused the symmetrical distributions of Stock prices, such as prices of Commercial Metals, with the unreliable approximations that try to describe financial returns.
Next price density |
| Expected price to next headline |
Commercial Metals Estimiated After-Hype Price Volatility
In the context of predicting Commercial Metals' stock value on the day after the next significant headline, we show statistically significant boundaries of downside and upside scenarios based on Commercial Metals' historical news coverage. Commercial Metals' after-hype downside and upside margins for the prediction period are 80.92 and 84.84, respectively. We have considered Commercial Metals' daily market price in relation to the headlines to evaluate this method's predictive performance. Remember, however, there is no scientific proof or empirical evidence that news-based prediction models compare with traditional linear, nonlinear models or artificial intelligence models to provide accurate predictions consistently.
Current Value
Commercial Metals is very steady at this time. Analysis and calculation of next after-hype price of Commercial Metals is based on 3 months time horizon.
Commercial Metals Stock Price Outlook Analysis
Have you ever been surprised when a price of a Company such as Commercial Metals is soaring high without any particular reason? This is usually happening because many institutional investors are aggressively trading Commercial Metals backward and forwards among themselves. Have you ever observed a lot of a particular company's price movement is driven by press releases or news about the company that has nothing to do with actual earnings? Usually, hype to individual companies acts as price momentum. If not enough favorable publicity is forthcoming, the Stock price eventually runs out of speed. So, the rule of thumb here is that as long as this news hype has nothing to do with immediate earnings, you should pay more attention to it. If you see this tendency with Commercial Metals, there might be something going there, and it might present an excellent short sale opportunity.
| Expected Return | Period Volatility | Hype Elasticity | Related Elasticity | News Density | Related Density | Expected Hype |
0.57 | 1.94 | 0.00 | 0.11 | 0 Events / Month | 3 Events / Month | In 5 to 10 days |
| Latest traded price | Expected after-news price | Potential return on next major news | Average after-hype volatility | |
82.99 | 82.88 | 0.22 |
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Commercial Metals Hype Timeline
On the 6th of February Commercial Metals is traded for 82.99. The entity stock is not elastic to its hype. The average elasticity to hype of competition is -0.11. Commercial is expected to increase in value after the next headline, with the price projected to jump to 82.88 or above. The average volatility of media hype impact on the company the price is insignificant. The price growth on the next news is projected to be 0.22%, whereas the daily expected return is currently at 0.57%. The volatility of related hype on Commercial Metals is about 979.8%, with the expected price after the next announcement by competition of 82.88. The company reported the last year's revenue of 7.8 B. Total Income to common stockholders was 151.78 M with profit before taxes, overhead, and interest of 1.32 B. Considering the 90-day investment horizon the next expected press release will be in 5 to 10 days. Check out Historical Fundamental Analysis of Commercial Metals to cross-verify your projections.Commercial Metals Related Hype Analysis
Having access to credible news sources related to Commercial Metals' direct competition is more important than ever and may enhance your ability to predict Commercial Metals' future price movements. Getting to know how Commercial Metals' peers react to changing market sentiment, related social signals, and mainstream news is a great way to find investing opportunities and time the market. The summary table below summarizes the essential lagging indicators that can help you analyze how Commercial Metals may potentially react to the hype associated with one of its peers.
| HypeElasticity | NewsDensity | SemiDeviation | InformationRatio | PotentialUpside | ValueAt Risk | MaximumDrawdown | |||
| GGB | Gerdau SA ADR | 0.00 | 0 per month | 1.88 | 0.09 | 2.81 | (2.95) | 8.81 | |
| TX | Ternium SA ADR | 0.00 | 0 per month | 1.18 | 0.15 | 2.72 | (2.64) | 7.28 | |
| CLF | Cleveland Cliffs | 0.00 | 0 per month | 2.94 | 0.17 | 5.23 | (4.71) | 17.41 | |
| ESI | Element Solutions | 0.00 | 0 per month | 1.79 | 0.03 | 3.96 | (3.60) | 10.60 | |
| OR | Osisko Gold Ro | (0.43) | 8 per month | 3.04 | 0.10 | 4.10 | (3.70) | 19.93 | |
| EXP | Eagle Materials | (1.08) | 8 per month | 1.54 | 0.04 | 4.45 | (2.73) | 10.51 | |
| HBM | Hudbay Minerals | 0.00 | 0 per month | 3.00 | 0.17 | 5.78 | (4.01) | 21.74 | |
| EMN | Eastman Chemical | (0.73) | 8 per month | 1.48 | 0.17 | 5.51 | (3.07) | 9.74 | |
| IAG | IAMGold | 0.26 | 11 per month | 3.49 | 0.18 | 7.53 | (6.35) | 28.42 | |
| AXTA | Axalta Coating Systems | 0.00 | 0 per month | 1.19 | 0.10 | 3.27 | (2.53) | 8.87 |
Other Forecasting Options for Commercial Metals
For every potential investor in Commercial, whether a beginner or expert, Commercial Metals' price movement is the inherent factor that sparks whether it is viable to invest in it or hold it better. Commercial Stock price charts are filled with many 'noises.' These noises can hugely alter the decision one can make regarding investing in Commercial. Basic forecasting techniques help filter out the noise by identifying Commercial Metals' price trends.Commercial Metals 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 Commercial Metals stock to make a market-neutral strategy. Peer analysis of Commercial Metals could also be used in its relative valuation, which is a method of valuing Commercial Metals by comparing valuation metrics with similar companies.
| Risk & Return | Correlation |
Commercial Metals Market Strength Events
Market strength indicators help investors to evaluate how Commercial Metals stock reacts to ongoing and evolving market conditions. The investors can use it to make informed decisions about market timing, and determine when trading Commercial Metals shares will generate the highest return on investment. By undertsting and applying Commercial Metals stock market strength indicators, traders can identify Commercial Metals entry and exit signals to maximize returns.
| Accumulation Distribution | 9737.93 | |||
| Daily Balance Of Power | 1.472727 | |||
| Rate Of Daily Change | 1.03 | |||
| Day Median Price | 82.44 | |||
| Day Typical Price | 82.62 | |||
| Price Action Indicator | 1.77 | |||
| Period Momentum Indicator | 2.43 |
Commercial Metals Risk Indicators
The analysis of Commercial Metals' 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 Commercial Metals' investment and either accepting that risk or mitigating it. Along with some essential techniques for forecasting commercial 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 | 1.58 | |||
| Semi Deviation | 0.9609 | |||
| Standard Deviation | 1.94 | |||
| Variance | 3.76 | |||
| Downside Variance | 1.87 | |||
| Semi Variance | 0.9233 | |||
| Expected Short fall | (2.15) |
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.
Story Coverage note for Commercial Metals
The number of cover stories for Commercial Metals depends on current market conditions and Commercial Metals' risk-adjusted performance over time. The coverage that generates the most noise at a given time depends on the prevailing investment theme that Commercial Metals is classified under. However, while its typical story may have numerous social followers, the rapid visibility can also attract short-sellers, who usually are skeptical about Commercial Metals' long-term prospects. So, having above-average coverage will typically attract above-average short interest, leading to significant price volatility.
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Commercial Metals Short Properties
Commercial Metals' future price predictability will typically decrease when Commercial Metals' long traders begin to feel the short-sellers pressure to drive the price lower. The predictive aspect of Commercial Metals often depends not only on the future outlook of the potential Commercial Metals' investors but also on the ongoing dynamics between investors with different trading styles. Because the market risk indicators may have small false signals, it is better to identify suitable times to hedge a portfolio using different long/short signals. Commercial Metals' indicators that are reflective of the short sentiment are summarized in the table below.
| Common Stock Shares Outstanding | 114.1 M | |
| Cash And Short Term Investments | 1 B |
Check out Historical Fundamental Analysis of Commercial Metals to cross-verify your projections. For information on how to trade Commercial Stock refer to our How to Trade Commercial Stock guide.You can also try the Fundamentals Comparison module to compare fundamentals across multiple equities to find investing opportunities.
Will Metals & Mining sector continue expanding? Could Commercial diversify its offerings? Factors like these will boost the valuation of Commercial Metals. Projected growth potential of Commercial fundamentally drives upward valuation adjustments. Accurate valuation requires analyzing both current fundamentals and future growth trajectories. Every Commercial Metals data point contributes insight, yet successful analysis hinges on identifying the most consequential variables.
Commercial Metals's market price often diverges from its book value, the accounting figure shown on Commercial's balance sheet. Smart investors calculate Commercial Metals' intrinsic value - its true economic worth - which may differ significantly from both market price and book value. Seasoned market participants apply comprehensive analytical frameworks to derive fundamental worth and identify mispriced opportunities. Since Commercial Metals' trading price responds to investor sentiment, macroeconomic conditions, and market psychology, it can swing far from fundamental value.
It's important to distinguish between Commercial Metals' intrinsic value and market price, which are calculated using different methodologies. Investment decisions regarding Commercial Metals should consider multiple factors including financial performance, growth metrics, competitive position, and professional analysis. However, Commercial Metals' 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.