United States Steel Stock Price Prediction
| X Stock | USD 40.51 2.13 5.55% |
Oversold Vs Overbought
67
Oversold | Overbought |
Quarterly Earnings Growth (0.60) | EPS Estimate Next Quarter 0.29 | EPS Estimate Current Year 2.369 | EPS Estimate Next Year 2.7613 | Wall Street Target Price 43.6471 |
Using United States hype-based prediction, you can estimate the value of United States Steel from the perspective of United States response to recently generated media hype and the effects of current headlines on its competitors. We also analyze overall investor sentiment towards United States using United States' stock options and short interest. It helps to benchmark the overall future attitude of investors towards United using crowd psychology based on the activity and movement of United States' stock price.
United States Short Interest
An investor who is long United States may also wish to track short interest. As short interest increases, investors should be becoming more worried about United States and may potentially protect profits, hedge United States with its derivative instruments, or be ready for some potential downside.
200 Day MA 39.2279 | Short Percent 0.0717 | Short Ratio 6.55 | Shares Short Prior Month 15.9 M | 50 Day MA 37.6648 |
United States Steel Hype to Price Pattern
Investor biases related to United States' public news can be used to forecast risks associated with an investment in United. The trend in average sentiment can be used to explain how an investor holding United can time the market purely based on public headlines and social activities around United States Steel. Please note that most equities that are difficult to arbitrage are affected by market sentiment the most.
Some investors profit by finding stocks that are overvalued or undervalued based on market sentiment. The correlation of United States' market sentiment to its price can help taders to make decisions based on the overall investors consensus about United States.
United States Implied Volatility | 0.27 |
United States' implied volatility exposes the market's sentiment of United States Steel stock's possible movements over time. However, it does not forecast the overall direction of its price. In a nutshell, if United States' implied volatility is high, the market thinks the stock has potential for high price swings in either direction. On the other hand, the low implied volatility suggests that United States stock will not fluctuate a lot when United States' options are near their expiration.
The fear of missing out, i.e., FOMO, can cause potential investors in United States to buy its stock at a price that has no basis in reality. In that case, they are not buying United because the equity is a good investment, but because they need to do something to avoid the feeling of missing out. On the other hand, investors will often sell stocks at prices well below their value during bear markets because they need to stop feeling the pain of losing money.
United States after-hype prediction price | USD 40.36 |
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.
Prediction based on Rule 16 of the current United contract
Based on the Rule 16, the options market is currently suggesting that United States Steel will have an average daily up or down price movement of about 0.0169% per day over the life of the 2024-11-22 option contract. With United States trading at USD 40.51, that is roughly USD 0.006836 . If you think that the market is fully incorporating United States' daily price movement you should consider acquiring United States Steel options at the current volatility level of 0.27%. But if you have an opposite viewpoint you should avoid it and even consider selling them.
United |
Sophisticated investors, who have witnessed many market ups and downs, anticipate that the market will even out over time. This tendency of United States' 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.
United States After-Hype Price Prediction Density Analysis
As far as predicting the price of United States 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 United States 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 United States, with the unreliable approximations that try to describe financial returns.
Next price density |
| Expected price to next headline |
United States Estimiated After-Hype Price Volatility
In the context of predicting United States' stock value on the day after the next significant headline, we show statistically significant boundaries of downside and upside scenarios based on United States' historical news coverage. United States' after-hype downside and upside margins for the prediction period are 36.74 and 43.98, respectively. We have considered United States' 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 outperform traditional linear, nonlinear models or artificial intelligence models to provide accurate predictions consistently.
Current Value
United States is not too volatile at this time. Analysis and calculation of next after-hype price of United States Steel is based on 3 months time horizon.
United States Stock Price Prediction Analysis
Have you ever been surprised when a price of a Company such as United States is soaring high without any particular reason? This is usually happening because many institutional investors are aggressively trading United States 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 United States, 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 |
0.18 | 3.65 | 0.13 | 0.14 | 13 Events / Month | 8 Events / Month | In about 13 days |
| Latest traded price | Expected after-news price | Potential return on next major news | Average after-hype volatility | ||
40.51 | 40.36 | 0.37 |
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United States Hype Timeline
As of November 22, 2024 United States Steel is listed for 40.51. The entity has historical hype elasticity of -0.13, and average elasticity to hype of competition of 0.14. United is anticipated to decline in value after the next headline, with the price expected to drop to 40.36. The average volatility of media hype impact on the company price is over 100%. The price decline on the next news is expected to be -0.37%, whereas the daily expected return is at this time at 0.18%. The volatility of related hype on United States is about 482.8%, with the expected price after the next announcement by competition of 40.65. About 88.0% of the company outstanding shares are owned by institutional investors. The company has Price to Book (P/B) ratio of 0.75. Historically many companies with similar price-to-book (P/B) ratio do better than the market in the long run. United States Steel has Price/Earnings To Growth (PEG) ratio of 1.68. The entity last dividend was issued on the 8th of November 2024. The firm had 2:1 split on the 13th of May 2005. Taking into account the 90-day investment horizon the next anticipated press release will be in about 13 days. Check out United States Basic Forecasting Models to cross-verify your projections.United States Related Hype Analysis
Having access to credible news sources related to United States' direct competition is more important than ever and may enhance your ability to predict United States' future price movements. Getting to know how United States' 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 United States may potentially react to the hype associated with one of its peers.
| HypeElasticity | NewsDensity | SemiDeviation | InformationRatio | PotentialUpside | ValueAt Risk | MaximumDrawdown | |||
| NUE | Nucor Corp | (3.61) | 7 per month | 2.15 | (0) | 2.50 | (3.82) | 19.91 | |
| STLD | Steel Dynamics | 5.82 | 11 per month | 1.67 | 0.11 | 4.00 | (2.79) | 17.89 | |
| MT | ArcelorMittal SA ADR | 0.01 | 11 per month | 1.94 | 0.04 | 3.83 | (3.01) | 9.08 | |
| GGB | Gerdau SA ADR | (0.04) | 6 per month | 1.83 | 0.02 | 4.02 | (3.68) | 16.26 | |
| CLF | Cleveland Cliffs | 0.21 | 8 per month | 0.00 | (0.03) | 4.67 | (4.30) | 24.38 | |
| RS | Reliance Steel Aluminum | (1.98) | 5 per month | 1.51 | 0.05 | 3.26 | (2.15) | 14.02 | |
| CMC | Commercial Metals | 4.39 | 8 per month | 1.67 | 0.04 | 4.50 | (2.80) | 16.53 | |
| PKX | POSCO Holdings | 0.35 | 9 per month | 0.00 | (0.11) | 4.63 | (4.94) | 10.53 | |
| TX | Ternium SA ADR | 2.34 | 11 per month | 1.94 | (0.03) | 2.94 | (2.97) | 8.77 | |
| SID | Companhia Siderurgica Nacional | 0.07 | 7 per month | 0.00 | (0.06) | 4.33 | (5.16) | 14.95 |
United States Additional Predictive Modules
Most predictive techniques to examine United price help traders to determine how to time the market. We provide a combination of tools to recognize potential entry and exit points for United using various technical indicators. When you analyze United 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 | ||
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| Math Transform | ||
| Momentum Indicators | ||
| Overlap Studies | ||
| Pattern Recognition | ||
| Price Transform | ||
| Statistic Functions | ||
| Volatility Indicators | ||
| Volume Indicators |
About United States Predictive Indicators
The successful prediction of United States stock price could yield a significant profit to investors. But is it possible? The efficient-market hypothesis suggests that all published stock prices of traded companies, such as United States Steel, already reflect all publicly available information. This academic statement is a fundamental principle of many financial and investing theories used today. However, the typical investor usually disagrees with a 'textbook' version of this hypothesis and continually tries to find mispriced stocks to increase returns. We use internally-developed statistical techniques to arrive at the intrinsic value of United States based on analysis of United States hews, social hype, general headline patterns, and widely used predictive technical indicators.
We also calculate exposure to United States's market risk, different technical and fundamental indicators, relevant financial multiples and ratios, and then comparing them to United States's related companies. | 2023 | 2024 (projected) | Dividend Yield | 0.002789 | 0.002649 | Price To Sales Ratio | 0.61 | 0.4 |
Story Coverage note for United States
The number of cover stories for United States depends on current market conditions and United States' risk-adjusted performance over time. The coverage that generates the most noise at a given time depends on the prevailing investment theme that United States 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 United States' long-term prospects. So, having above-average coverage will typically attract above-average short interest, leading to significant price volatility.
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United States Short Properties
United States' future price predictability will typically decrease when United States' long traders begin to feel the short-sellers pressure to drive the price lower. The predictive aspect of United States Steel often depends not only on the future outlook of the potential United States' 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. United States' indicators that are reflective of the short sentiment are summarized in the table below.
| Common Stock Shares Outstanding | 255.4 M | |
| Cash And Short Term Investments | 2.9 B |
Additional Tools for United Stock Analysis
When running United States' price analysis, check to measure United States' 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 United States is operating at the current time. Most of United States' value examination focuses on studying past and present price action to predict the probability of United States' future price movements. You can analyze the entity against its peers and the financial market as a whole to determine factors that move United States' price. Additionally, you may evaluate how the addition of United States to your portfolios can decrease your overall portfolio volatility.