Sumitomo Metal Mining Stock Technical Analysis
| SMMYY Stock | USD 16.40 0.56 3.30% |
As of the 17th of February 2026, Sumitomo Metal has the Semi Deviation of 2.65, coefficient of variation of 316.8, and Risk Adjusted Performance of 0.2624. In relation to fundamental indicators, the technical analysis model makes it possible for you to check existing technical drivers of Sumitomo Metal Mining, as well as the relationship between them.
Sumitomo 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 Sumitomo, fluctuates. Many momentum indicators also complement each other and can be helpful when the market is rising or falling as compared to SumitomoSumitomo |
Sumitomo 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 Sumitomo 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 Sumitomo Metal.
| 11/19/2025 |
| 02/17/2026 |
If you would invest 0.00 in Sumitomo Metal on November 19, 2025 and sell it all today you would earn a total of 0.00 from holding Sumitomo Metal Mining or generate 0.0% return on investment in Sumitomo Metal over 90 days. Sumitomo Metal is related to or competes with South32, Lynas Rare, Lynas Rare, Svenska Cellulosa, Brenntag, IMCD NV, and Mitsubishi Chemical. Sumitomo Metal Mining Co., Ltd., together with its subsidiaries, engages in mining, smelting, and refining non-ferrous m... More
Sumitomo 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 Sumitomo 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 Sumitomo Metal Mining upside and downside potential and time the market with a certain degree of confidence.
| Downside Deviation | 3.34 | |||
| Information Ratio | 0.296 | |||
| Maximum Drawdown | 18.84 | |||
| Value At Risk | (4.43) | |||
| Potential Upside | 7.29 |
Sumitomo Metal Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for Sumitomo Metal's investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as Sumitomo Metal's standard deviation. In reality, there are many statistical measures that can use Sumitomo Metal historical prices to predict the future Sumitomo Metal's volatility.| Risk Adjusted Performance | 0.2624 | |||
| Jensen Alpha | 1.04 | |||
| Total Risk Alpha | 0.8493 | |||
| Sortino Ratio | 0.3158 | |||
| Treynor Ratio | 0.9293 |
Sophisticated investors, who have witnessed many market ups and downs, anticipate that the market will even out over time. This tendency of Sumitomo Metal's 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.
Sumitomo Metal February 17, 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 | 0.2624 | |||
| Market Risk Adjusted Performance | 0.9393 | |||
| Mean Deviation | 2.83 | |||
| Semi Deviation | 2.65 | |||
| Downside Deviation | 3.34 | |||
| Coefficient Of Variation | 316.8 | |||
| Standard Deviation | 3.56 | |||
| Variance | 12.67 | |||
| Information Ratio | 0.296 | |||
| Jensen Alpha | 1.04 | |||
| Total Risk Alpha | 0.8493 | |||
| Sortino Ratio | 0.3158 | |||
| Treynor Ratio | 0.9293 | |||
| Maximum Drawdown | 18.84 | |||
| Value At Risk | (4.43) | |||
| Potential Upside | 7.29 | |||
| Downside Variance | 11.13 | |||
| Semi Variance | 7.01 | |||
| Expected Short fall | (3.34) | |||
| Skewness | (0.37) | |||
| Kurtosis | 0.7954 |
Sumitomo Metal Mining Backtested Returns
Sumitomo Metal is somewhat reliable given 3 months investment horizon. Sumitomo Metal Mining owns Efficiency Ratio (i.e., Sharpe Ratio) of 0.37, which indicates the firm had a 0.37 % return per unit of risk over the last 3 months. We have analyzed and interpolated twenty-nine different technical indicators, which can help you to evaluate if expected returns of 1.32% are justified by taking the suggested risk. Use Sumitomo Metal Mining Risk Adjusted Performance of 0.2624, semi deviation of 2.65, and Coefficient Of Variation of 316.8 to evaluate company specific risk that cannot be diversified away. Sumitomo Metal holds a performance score of 29 on a scale of zero to a hundred. The entity has a beta of 1.2, which indicates a somewhat significant risk relative to the market. As the market goes up, the company is expected to outperform it. However, if the market returns are negative, Sumitomo Metal will likely underperform. Use Sumitomo Metal Mining semi variance, rate of daily change, and the relationship between the value at risk and kurtosis , to analyze future returns on Sumitomo Metal Mining.
Auto-correlation | 0.93 |
Excellent predictability
Sumitomo Metal Mining has excellent predictability. Overlapping area represents the amount of predictability between Sumitomo Metal time series from 19th of November 2025 to 3rd of January 2026 and 3rd of January 2026 to 17th 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 Sumitomo Metal Mining price movement. The serial correlation of 0.93 indicates that approximately 93.0% of current Sumitomo Metal price fluctuation can be explain by its past prices.
| Correlation Coefficient | 0.93 | |
| Spearman Rank Test | 0.91 | |
| Residual Average | 0.0 | |
| Price Variance | 3.4 |
Sumitomo 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.
Sumitomo Metal Mining Technical Analysis
The output start index for this execution was one with a total number of output elements of sixty. 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 Sumitomo Metal Mining volatility. High ATR values indicate high volatility, and low values indicate low volatility.
About Sumitomo 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 Sumitomo Metal Mining 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 Sumitomo Metal Mining based on its technical analysis. In general, a bottom-up approach, as applied to this company, focuses on Sumitomo Metal Mining price pattern first instead of the macroeconomic environment surrounding Sumitomo Metal Mining. By analyzing Sumitomo 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 Sumitomo 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 Sumitomo Metal specific price patterns or momentum indicators. Please read more on our technical analysis page.
Sumitomo Metal February 17, 2026 Technical Indicators
Most technical analysis of Sumitomo 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 Sumitomo from various momentum indicators to cycle indicators. When you analyze Sumitomo 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 | 0.2624 | |||
| Market Risk Adjusted Performance | 0.9393 | |||
| Mean Deviation | 2.83 | |||
| Semi Deviation | 2.65 | |||
| Downside Deviation | 3.34 | |||
| Coefficient Of Variation | 316.8 | |||
| Standard Deviation | 3.56 | |||
| Variance | 12.67 | |||
| Information Ratio | 0.296 | |||
| Jensen Alpha | 1.04 | |||
| Total Risk Alpha | 0.8493 | |||
| Sortino Ratio | 0.3158 | |||
| Treynor Ratio | 0.9293 | |||
| Maximum Drawdown | 18.84 | |||
| Value At Risk | (4.43) | |||
| Potential Upside | 7.29 | |||
| Downside Variance | 11.13 | |||
| Semi Variance | 7.01 | |||
| Expected Short fall | (3.34) | |||
| Skewness | (0.37) | |||
| Kurtosis | 0.7954 |
Sumitomo Metal February 17, 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 Sumitomo 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 | 0.03 | ||
| Daily Balance Of Power | (1.10) | ||
| Rate Of Daily Change | 0.97 | ||
| Day Median Price | 16.25 | ||
| Day Typical Price | 16.30 | ||
| Price Action Indicator | (0.13) | ||
| Market Facilitation Index | 0.51 |
Additional Tools for Sumitomo Pink Sheet Analysis
When running Sumitomo Metal's price analysis, check to measure Sumitomo 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 Sumitomo Metal is operating at the current time. Most of Sumitomo Metal's value examination focuses on studying past and present price action to predict the probability of Sumitomo 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 Sumitomo Metal's price. Additionally, you may evaluate how the addition of Sumitomo Metal to your portfolios can decrease your overall portfolio volatility.