Steel Dynamics Stock Market Value
| STLD Stock | USD 186.55 6.98 3.89% |
| Symbol | Steel |
Will Metals & Mining sector continue expanding? Could Steel diversify its offerings? Factors like these will boost the valuation of Steel Dynamics. If investors know Steel will grow in the future, the company's valuation will be higher. Accurate valuation requires analyzing both current fundamentals and future growth trajectories. Every Steel Dynamics data point contributes insight, yet successful analysis hinges on identifying the most consequential variables.
Quarterly Earnings Growth 0.35 | Dividend Share 2 | Earnings Share 7.98 | Revenue Per Share | Quarterly Revenue Growth 0.14 |
The market value of Steel Dynamics is measured differently than its book value, which is the value of Steel that is recorded on the company's balance sheet. Investors also form their own opinion of Steel Dynamics' value that differs from its market value or its book value, called intrinsic value, which is Steel Dynamics' true underlying value. Seasoned market participants apply comprehensive analytical frameworks to derive fundamental worth and identify mispriced opportunities. Because Steel Dynamics' market value can be influenced by many factors that don't directly affect Steel Dynamics' 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 Steel Dynamics' value and its price as these two are different measures arrived at by different means. Investors typically determine if Steel Dynamics is a good investment by looking at such factors as earnings, sales, fundamental and technical indicators, competition as well as analyst projections. Meanwhile, Steel Dynamics' quoted price indicates the marketplace figure where supply meets demand through bilateral consent.
Steel Dynamics 'What if' Analysis
In the world of financial modeling, what-if analysis is part of sensitivity analysis performed to test how changes in assumptions impact individual outputs in a model. When applied to Steel Dynamics' stock what-if analysis refers to the analyzing how the change in your past investing horizon will affect the profitability against the current market value of Steel Dynamics.
| 11/05/2025 |
| 02/03/2026 |
If you would invest 0.00 in Steel Dynamics on November 5, 2025 and sell it all today you would earn a total of 0.00 from holding Steel Dynamics or generate 0.0% return on investment in Steel Dynamics over 90 days. Steel Dynamics is related to or competes with Nucor Corp, Reliance Steel, POSCO Holdings, PPG Industries, ArcelorMittal, Teck Resources, and Nutrien. Steel Dynamics, Inc., together with its subsidiaries, operates as a steel producer and metal recycler in the United Stat... More
Steel Dynamics Upside/Downside Indicators
Understanding different market momentum indicators often help investors to time their next move. Potential upside and downside technical ratios enable traders to measure Steel Dynamics' stock current market value against overall market sentiment and can be a good tool during both bulling and bearish trends. Here we outline some of the essential indicators to assess Steel Dynamics upside and downside potential and time the market with a certain degree of confidence.
| Downside Deviation | 1.66 | |||
| Information Ratio | 0.0999 | |||
| Maximum Drawdown | 9.08 | |||
| Value At Risk | (2.78) | |||
| Potential Upside | 3.89 |
Steel Dynamics Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for Steel Dynamics' investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as Steel Dynamics' standard deviation. In reality, there are many statistical measures that can use Steel Dynamics historical prices to predict the future Steel Dynamics' volatility.| Risk Adjusted Performance | 0.1009 | |||
| Jensen Alpha | 0.1842 | |||
| Total Risk Alpha | 0.1166 | |||
| Sortino Ratio | 0.1138 | |||
| Treynor Ratio | 0.2124 |
Steel Dynamics February 3, 2026 Technical Indicators
| Cycle Indicators | ||
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| Math Transform | ||
| Momentum Indicators | ||
| Overlap Studies | ||
| Pattern Recognition | ||
| Price Transform | ||
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| Volume Indicators |
| Risk Adjusted Performance | 0.1009 | |||
| Market Risk Adjusted Performance | 0.2224 | |||
| Mean Deviation | 1.47 | |||
| Semi Deviation | 1.45 | |||
| Downside Deviation | 1.66 | |||
| Coefficient Of Variation | 773.28 | |||
| Standard Deviation | 1.89 | |||
| Variance | 3.58 | |||
| Information Ratio | 0.0999 | |||
| Jensen Alpha | 0.1842 | |||
| Total Risk Alpha | 0.1166 | |||
| Sortino Ratio | 0.1138 | |||
| Treynor Ratio | 0.2124 | |||
| Maximum Drawdown | 9.08 | |||
| Value At Risk | (2.78) | |||
| Potential Upside | 3.89 | |||
| Downside Variance | 2.76 | |||
| Semi Variance | 2.11 | |||
| Expected Short fall | (1.65) | |||
| Skewness | 0.281 | |||
| Kurtosis | 0.0689 |
Steel Dynamics Backtested Returns
Steel Dynamics appears to be very steady, given 3 months investment horizon. Steel Dynamics owns Efficiency Ratio (i.e., Sharpe Ratio) of 0.18, which indicates the firm had a 0.18 % return per unit of risk over the last 3 months. We have found twenty-nine technical indicators for Steel Dynamics, which you can use to evaluate the volatility of the company. Please review Steel Dynamics' Risk Adjusted Performance of 0.1009, coefficient of variation of 773.28, and Semi Deviation of 1.45 to confirm if our risk estimates are consistent with your expectations. On a scale of 0 to 100, Steel Dynamics holds a performance score of 14. The entity has a beta of 1.11, which indicates a somewhat significant risk relative to the market. Steel Dynamics returns are very sensitive to returns on the market. As the market goes up or down, Steel Dynamics is expected to follow. Please check Steel Dynamics' jensen alpha, semi variance, day typical price, as well as the relationship between the maximum drawdown and accumulation distribution , to make a quick decision on whether Steel Dynamics' existing price patterns will revert.
Auto-correlation | 0.48 |
Average predictability
Steel Dynamics has average predictability. Overlapping area represents the amount of predictability between Steel Dynamics time series from 5th of November 2025 to 20th of December 2025 and 20th of December 2025 to 3rd of February 2026. The more autocorrelation exist between current time interval and its lagged values, the more accurately you can make projection about the future pattern of Steel Dynamics price movement. The serial correlation of 0.48 indicates that about 48.0% of current Steel Dynamics price fluctuation can be explain by its past prices.
| Correlation Coefficient | 0.48 | |
| Spearman Rank Test | 0.41 | |
| Residual Average | 0.0 | |
| Price Variance | 19.1 |
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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.When determining whether Steel Dynamics is a strong investment it is important to analyze Steel 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 Steel Dynamics' future performance. For an informed investment choice regarding Steel Stock, refer to the following important reports:Check out Steel Dynamics Correlation, Steel Dynamics Volatility and Steel Dynamics Performance module to complement your research on Steel Dynamics. For information on how to trade Steel Stock refer to our How to Trade Steel Stock guide.You can also try the Technical Analysis module to check basic technical indicators and analysis based on most latest market data.
Steel Dynamics technical stock analysis exercises models and trading practices based on price and volume transformations, such as the moving averages, relative strength index, regressions, price and return correlations, business cycles, stock market cycles, or different charting patterns.