Sims Metal Management Stock Technical Analysis
| SMSMY Stock | USD 13.88 0.43 3.20% |
As of the 27th of January, Sims Metal has the Coefficient Of Variation of 437.99, semi deviation of 1.85, and Risk Adjusted Performance of 0.175. In relation to fundamental indicators, the technical analysis model makes it possible for you to check existing technical drivers of Sims Metal Management, as well as the relationship between them.
Sims Metal Momentum Analysis
Momentum indicators are widely used technical indicators which help to measure the pace at which the price of specific equity, such as Sims, fluctuates. Many momentum indicators also complement each other and can be helpful when the market is rising or falling as compared to SimsSims |
Sims Metal '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 Sims Metal's pink sheet 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 Sims Metal.
| 10/29/2025 |
| 01/27/2026 |
If you would invest 0.00 in Sims Metal on October 29, 2025 and sell it all today you would earn a total of 0.00 from holding Sims Metal Management or generate 0.0% return on investment in Sims Metal over 90 days. Sims Metal is related to or competes with Champion Iron, Aperam SA, Salzgitter, Salzgitter, Eramet SA, Hyperion Metals, and LANXESS Aktiengesellscha. Sims Limited engages in buying, processing, and selling ferrous and non-ferrous recycled metals in Australia, Bangladesh... More
Sims Metal 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 Sims Metal's pink sheet 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 Sims Metal Management upside and downside potential and time the market with a certain degree of confidence.
| Downside Deviation | 2.61 | |||
| Information Ratio | 0.2006 | |||
| Maximum Drawdown | 17.13 | |||
| Value At Risk | (3.57) | |||
| Potential Upside | 5.77 |
Sims Metal Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for Sims Metal's investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as Sims Metal's standard deviation. In reality, there are many statistical measures that can use Sims Metal historical prices to predict the future Sims Metal's volatility.| Risk Adjusted Performance | 0.175 | |||
| Jensen Alpha | 0.6323 | |||
| Total Risk Alpha | 0.3743 | |||
| Sortino Ratio | 0.2244 | |||
| Treynor Ratio | 1.93 |
Sims Metal January 27, 2026 Technical Indicators
| Cycle Indicators | ||
| Math Operators | ||
| Math Transform | ||
| Momentum Indicators | ||
| Overlap Studies | ||
| Pattern Recognition | ||
| Price Transform | ||
| Statistic Functions | ||
| Volatility Indicators | ||
| Volume Indicators |
| Risk Adjusted Performance | 0.175 | |||
| Market Risk Adjusted Performance | 1.94 | |||
| Mean Deviation | 2.12 | |||
| Semi Deviation | 1.85 | |||
| Downside Deviation | 2.61 | |||
| Coefficient Of Variation | 437.99 | |||
| Standard Deviation | 2.92 | |||
| Variance | 8.52 | |||
| Information Ratio | 0.2006 | |||
| Jensen Alpha | 0.6323 | |||
| Total Risk Alpha | 0.3743 | |||
| Sortino Ratio | 0.2244 | |||
| Treynor Ratio | 1.93 | |||
| Maximum Drawdown | 17.13 | |||
| Value At Risk | (3.57) | |||
| Potential Upside | 5.77 | |||
| Downside Variance | 6.81 | |||
| Semi Variance | 3.42 | |||
| Expected Short fall | (2.94) | |||
| Skewness | 0.3537 | |||
| Kurtosis | 2.28 |
Sims Metal Management Backtested Returns
Sims Metal appears to be not too volatile, given 3 months investment horizon. Sims Metal Management owns Efficiency Ratio (i.e., Sharpe Ratio) of 0.2, which indicates the firm had a 0.2 % return per unit of risk over the last 3 months. By inspecting Sims Metal's technical indicators, you can evaluate if the expected return of 0.55% is justified by implied risk. Please review Sims Metal's Semi Deviation of 1.85, coefficient of variation of 437.99, and Risk Adjusted Performance of 0.175 to confirm if our risk estimates are consistent with your expectations. On a scale of 0 to 100, Sims Metal holds a performance score of 15. The entity has a beta of 0.34, which indicates possible diversification benefits within a given portfolio. As returns on the market increase, Sims Metal's returns are expected to increase less than the market. However, during the bear market, the loss of holding Sims Metal is expected to be smaller as well. Please check Sims Metal's value at risk, as well as the relationship between the kurtosis and market facilitation index , to make a quick decision on whether Sims Metal's existing price patterns will revert.
Auto-correlation | 0.66 |
Good predictability
Sims Metal Management has good predictability. Overlapping area represents the amount of predictability between Sims Metal time series from 29th of October 2025 to 13th of December 2025 and 13th of December 2025 to 27th of January 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 Sims Metal Management price movement. The serial correlation of 0.66 indicates that around 66.0% of current Sims Metal price fluctuation can be explain by its past prices.
| Correlation Coefficient | 0.66 | |
| Spearman Rank Test | 0.6 | |
| Residual Average | 0.0 | |
| Price Variance | 0.36 |
Sims Metal technical pink sheet 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, pink sheet market cycles, or different charting patterns.
Sims Metal Management Technical Analysis
The output start index for this execution was twenty-four with a total number of output elements of thirty-seven. The Average True Range was developed by J. Welles Wilder in 1970s. It is one of components of the Welles Wilder Directional Movement indicators. The ATR is a measure of Sims Metal Management volatility. High ATR values indicate high volatility, and low values indicate low volatility.
About Sims Metal Technical Analysis
The technical analysis module can be used to analyzes prices, returns, volume, basic money flow, and other market information and help investors to determine the real value of Sims Metal Management on a daily or weekly bases. We use both bottom-up as well as top-down valuation methodologies to arrive at the intrinsic value of Sims Metal Management based on its technical analysis. In general, a bottom-up approach, as applied to this company, focuses on Sims Metal Management price pattern first instead of the macroeconomic environment surrounding Sims Metal Management. By analyzing Sims Metal's financials, daily price indicators, and related drivers such as dividends, momentum ratios, and various types of growth rates, we attempt to find the most accurate representation of Sims Metal's intrinsic value. As compared to a bottom-up approach, our top-down model examines the macroeconomic factors that affect the industry/economy before zooming in to Sims Metal specific price patterns or momentum indicators. Please read more on our technical analysis page.
Sims Metal January 27, 2026 Technical Indicators
Most technical analysis of Sims help investors determine whether a current trend will continue and, if not, when it will shift. We provide a combination of tools to recognize potential entry and exit points for Sims from various momentum indicators to cycle indicators. When you analyze Sims charts, please remember that the event formation may indicate an entry point for a short seller, and look at different 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 |
| Risk Adjusted Performance | 0.175 | |||
| Market Risk Adjusted Performance | 1.94 | |||
| Mean Deviation | 2.12 | |||
| Semi Deviation | 1.85 | |||
| Downside Deviation | 2.61 | |||
| Coefficient Of Variation | 437.99 | |||
| Standard Deviation | 2.92 | |||
| Variance | 8.52 | |||
| Information Ratio | 0.2006 | |||
| Jensen Alpha | 0.6323 | |||
| Total Risk Alpha | 0.3743 | |||
| Sortino Ratio | 0.2244 | |||
| Treynor Ratio | 1.93 | |||
| Maximum Drawdown | 17.13 | |||
| Value At Risk | (3.57) | |||
| Potential Upside | 5.77 | |||
| Downside Variance | 6.81 | |||
| Semi Variance | 3.42 | |||
| Expected Short fall | (2.94) | |||
| Skewness | 0.3537 | |||
| Kurtosis | 2.28 |
Sims Metal January 27, 2026 Daily Trend Indicators
Traders often use several different daily volumes and price technical indicators to supplement a more traditional technical analysis when analyzing securities such as Sims stock. With literally thousands of different options, investors must choose the best indicators for them and familiarize themselves with how they work. We suggest combining traditional momentum indicators with more near-term forms of technical analysis such as Accumulation Distribution or Daily Balance Of Power. With their quantitative nature, daily value technical indicators can also be incorporated into your automated trading systems.
| Accumulation Distribution | 231.04 | ||
| Daily Balance Of Power | 0.86 | ||
| Rate Of Daily Change | 1.03 | ||
| Day Median Price | 13.70 | ||
| Day Typical Price | 13.76 | ||
| Price Action Indicator | 0.40 |
Additional Tools for Sims Pink Sheet Analysis
When running Sims Metal's price analysis, check to measure Sims Metal's 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 Sims Metal is operating at the current time. Most of Sims Metal's value examination focuses on studying past and present price action to predict the probability of Sims Metal's future price movements. You can analyze the entity against its peers and the financial market as a whole to determine factors that move Sims Metal's price. Additionally, you may evaluate how the addition of Sims Metal to your portfolios can decrease your overall portfolio volatility.