Smart Sand (Germany) Technical Analysis
| 1SD Stock | EUR 4.48 0.14 3.03% |
As of the 20th of February, Smart Sand has the Coefficient Of Variation of 386.81, risk adjusted performance of 0.2066, and Semi Deviation of 4.25. Smart Sand technical analysis provides you with a way to harness past market data to determine a pattern that measures the direction of the company's future prices. Please validate Smart Sand semi deviation, coefficient of variation, and the relationship between the mean deviation and downside deviation to decide if Smart Sand is priced more or less accurately, providing market reflects its prevalent price of 4.48 per share.
Smart Sand Momentum Analysis
Momentum indicators are widely used technical indicators which help to measure the pace at which the price of specific equity, such as Smart, fluctuates. Many momentum indicators also complement each other and can be helpful when the market is rising or falling as compared to SmartSmart |
Smart Sand '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 Smart Sand's 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 Smart Sand.
| 11/22/2025 |
| 02/20/2026 |
If you would invest 0.00 in Smart Sand on November 22, 2025 and sell it all today you would earn a total of 0.00 from holding Smart Sand or generate 0.0% return on investment in Smart Sand over 90 days. Smart Sand is related to or competes with Takeda Pharmaceutical, Genmab A/S, City Of, RENEWABLES INFRASTRUCTURE, NEW FOUND, Odyssean Investment, and Tokentus Investment. Smart Sand, Inc., integrated frac sand supply and services company, engages in the excavation, processing, and sale of i... More
Smart Sand 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 Smart Sand's 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 Smart Sand upside and downside potential and time the market with a certain degree of confidence.
| Downside Deviation | 5.35 | |||
| Information Ratio | 0.2464 | |||
| Maximum Drawdown | 29.31 | |||
| Value At Risk | (7.26) | |||
| Potential Upside | 11.03 |
Smart Sand Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for Smart Sand's investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as Smart Sand's standard deviation. In reality, there are many statistical measures that can use Smart Sand historical prices to predict the future Smart Sand's volatility.| Risk Adjusted Performance | 0.2066 | |||
| Jensen Alpha | 1.42 | |||
| Total Risk Alpha | 0.9815 | |||
| Sortino Ratio | 0.2422 | |||
| Treynor Ratio | (1.06) |
Smart Sand February 20, 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 | 0.2066 | |||
| Market Risk Adjusted Performance | (1.05) | |||
| Mean Deviation | 3.8 | |||
| Semi Deviation | 4.25 | |||
| Downside Deviation | 5.35 | |||
| Coefficient Of Variation | 386.81 | |||
| Standard Deviation | 5.26 | |||
| Variance | 27.63 | |||
| Information Ratio | 0.2464 | |||
| Jensen Alpha | 1.42 | |||
| Total Risk Alpha | 0.9815 | |||
| Sortino Ratio | 0.2422 | |||
| Treynor Ratio | (1.06) | |||
| Maximum Drawdown | 29.31 | |||
| Value At Risk | (7.26) | |||
| Potential Upside | 11.03 | |||
| Downside Variance | 28.61 | |||
| Semi Variance | 18.04 | |||
| Expected Short fall | (4.70) | |||
| Skewness | (0.04) | |||
| Kurtosis | 1.04 |
Smart Sand Backtested Returns
Smart Sand is very risky given 3 months investment horizon. Smart Sand owns Efficiency Ratio (i.e., Sharpe Ratio) of 0.27, which indicates the firm had a 0.27 % return per unit of risk over the last 3 months. We were able to interpolate thirty different technical indicators, which can help you to evaluate if expected returns of 1.42% are justified by taking the suggested risk. Use Smart Sand Semi Deviation of 4.25, coefficient of variation of 386.81, and Risk Adjusted Performance of 0.2066 to evaluate company specific risk that cannot be diversified away. Smart Sand holds a performance score of 21 on a scale of zero to a hundred. The entity has a beta of -1.27, which indicates a somewhat significant risk relative to the market. As returns on the market increase, returns on owning Smart Sand are expected to decrease by larger amounts. On the other hand, during market turmoil, Smart Sand is expected to outperform it. Use Smart Sand market risk adjusted performance, semi deviation, coefficient of variation, as well as the relationship between the mean deviation and downside deviation , to analyze future returns on Smart Sand.
Auto-correlation | 0.52 |
Modest predictability
Smart Sand has modest predictability. Overlapping area represents the amount of predictability between Smart Sand time series from 22nd of November 2025 to 6th of January 2026 and 6th of January 2026 to 20th 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 Smart Sand price movement. The serial correlation of 0.52 indicates that about 52.0% of current Smart Sand price fluctuation can be explain by its past prices.
| Correlation Coefficient | 0.52 | |
| Spearman Rank Test | 0.56 | |
| Residual Average | 0.0 | |
| Price Variance | 0.12 |
Smart Sand 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.
Smart Sand Technical Analysis
The output start index for this execution was ten with a total number of output elements of fifty-one. 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 Smart Sand volatility. High ATR values indicate high volatility, and low values indicate low volatility.
About Smart Sand 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 Smart Sand 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 Smart Sand based on its technical analysis. In general, a bottom-up approach, as applied to this company, focuses on Smart Sand price pattern first instead of the macroeconomic environment surrounding Smart Sand. By analyzing Smart Sand'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 Smart Sand'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 Smart Sand specific price patterns or momentum indicators. Please read more on our technical analysis page.
Smart Sand February 20, 2026 Technical Indicators
Most technical analysis of Smart 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 Smart from various momentum indicators to cycle indicators. When you analyze Smart 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 | 0.2066 | |||
| Market Risk Adjusted Performance | (1.05) | |||
| Mean Deviation | 3.8 | |||
| Semi Deviation | 4.25 | |||
| Downside Deviation | 5.35 | |||
| Coefficient Of Variation | 386.81 | |||
| Standard Deviation | 5.26 | |||
| Variance | 27.63 | |||
| Information Ratio | 0.2464 | |||
| Jensen Alpha | 1.42 | |||
| Total Risk Alpha | 0.9815 | |||
| Sortino Ratio | 0.2422 | |||
| Treynor Ratio | (1.06) | |||
| Maximum Drawdown | 29.31 | |||
| Value At Risk | (7.26) | |||
| Potential Upside | 11.03 | |||
| Downside Variance | 28.61 | |||
| Semi Variance | 18.04 | |||
| Expected Short fall | (4.70) | |||
| Skewness | (0.04) | |||
| Kurtosis | 1.04 |
Smart Sand February 20, 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 Smart 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 | 13.52 | ||
| Daily Balance Of Power | (0.88) | ||
| Rate Of Daily Change | 0.97 | ||
| Day Median Price | 4.56 | ||
| Day Typical Price | 4.53 | ||
| Price Action Indicator | (0.15) | ||
| Market Facilitation Index | 0.0004 |
Complementary Tools for Smart Stock analysis
When running Smart Sand's price analysis, check to measure Smart Sand'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 Smart Sand is operating at the current time. Most of Smart Sand's value examination focuses on studying past and present price action to predict the probability of Smart Sand's future price movements. You can analyze the entity against its peers and the financial market as a whole to determine factors that move Smart Sand's price. Additionally, you may evaluate how the addition of Smart Sand to your portfolios can decrease your overall portfolio volatility.
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