Sandbox Technical Analysis
| SAND Crypto | USD 0.09 0.0008 0.94% |
As of the 27th of February, Sandbox has the Risk Adjusted Performance of (0.07), variance of 48.97, and Coefficient Of Variation of (996.27). In relation to fundamental indicators, the technical analysis model makes it possible for you to check existing technical drivers of Sandbox, as well as the relationship between them.
Sandbox Momentum Analysis
Momentum indicators are widely used technical indicators which help to measure the pace at which the price of specific equity, such as Sandbox, fluctuates. Many momentum indicators also complement each other and can be helpful when the market is rising or falling as compared to SandboxSandbox |
Sandbox '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 Sandbox's crypto coin 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 Sandbox.
| 11/29/2025 |
| 02/27/2026 |
If you would invest 0.00 in Sandbox on November 29, 2025 and sell it all today you would earn a total of 0.00 from holding The Sandbox or generate 0.0% return on investment in Sandbox over 90 days. Sandbox is related to or competes with Staked Ether, EigenLayer, Morpho, and DIA. The Sandbox is peer-to-peer digital currency powered by the Blockchain technology.
Sandbox 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 Sandbox's crypto coin 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 The Sandbox upside and downside potential and time the market with a certain degree of confidence.
| Information Ratio | (0.12) | |||
| Maximum Drawdown | 44.05 | |||
| Value At Risk | (8.33) | |||
| Potential Upside | 9.29 |
Sandbox Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for Sandbox's investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as Sandbox's standard deviation. In reality, there are many statistical measures that can use Sandbox historical prices to predict the future Sandbox's volatility.| Risk Adjusted Performance | (0.07) | |||
| Jensen Alpha | (0.60) | |||
| Total Risk Alpha | (1.74) | |||
| Treynor Ratio | 0.7225 |
Sandbox February 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 | (0.07) | |||
| Market Risk Adjusted Performance | 0.7325 | |||
| Mean Deviation | 4.96 | |||
| Coefficient Of Variation | (996.27) | |||
| Standard Deviation | 7.0 | |||
| Variance | 48.97 | |||
| Information Ratio | (0.12) | |||
| Jensen Alpha | (0.60) | |||
| Total Risk Alpha | (1.74) | |||
| Treynor Ratio | 0.7225 | |||
| Maximum Drawdown | 44.05 | |||
| Value At Risk | (8.33) | |||
| Potential Upside | 9.29 | |||
| Skewness | 0.7183 | |||
| Kurtosis | 2.19 |
Sandbox Backtested Returns
Sandbox owns Efficiency Ratio (i.e., Sharpe Ratio) of -0.0893, which indicates digital coin had a -0.0893 % return per unit of risk over the last 3 months. The Sandbox exposes twenty-three different technical indicators, which can help you to evaluate volatility embedded in its price movement. Please validate Sandbox's Risk Adjusted Performance of (0.07), variance of 48.97, and Coefficient Of Variation of (996.27) to confirm the risk estimate we provide. The entity has a beta of -0.99, which indicates possible diversification benefits within a given portfolio. As the market becomes more bullish, returns on owning Sandbox are expected to decrease slowly. On the other hand, during market turmoil, Sandbox is expected to outperform it slightly.
Auto-correlation | 0.66 |
Good predictability
The Sandbox has good predictability. Overlapping area represents the amount of predictability between Sandbox time series from 29th of November 2025 to 13th of January 2026 and 13th of January 2026 to 27th 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 Sandbox price movement. The serial correlation of 0.66 indicates that around 66.0% of current Sandbox price fluctuation can be explain by its past prices.
| Correlation Coefficient | 0.66 | |
| Spearman Rank Test | 0.34 | |
| Residual Average | 0.0 | |
| Price Variance | 0.0 |
Sandbox technical crypto coin 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, crypto market cycles, or different charting patterns.
Sandbox Technical Analysis
The output start index for this execution was fourteen with a total number of output elements of fourty-seven. The Normalized Average True Range is used to analyze tradable apportunities for Sandbox across different markets.
About Sandbox 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 The Sandbox 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 The Sandbox based on its technical analysis. In general, a bottom-up approach, as applied to this cryptocurrency, focuses on Sandbox price pattern first instead of the macroeconomic environment surrounding Sandbox. By analyzing daily price indicators and various types of growth rates, we attempt to find the most accurate representation of Sandbox's intrinsic value. As compared to a bottom-up approach, our top-down model examines the macroeconomic factors that affect the crypto market before zooming in to Sandbox specific price patterns or momentum indicators.
Sandbox February 27, 2026 Technical Indicators
Most technical analysis of Sandbox 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 Sandbox from various momentum indicators to cycle indicators. When you analyze Sandbox 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 | (0.07) | |||
| Market Risk Adjusted Performance | 0.7325 | |||
| Mean Deviation | 4.96 | |||
| Coefficient Of Variation | (996.27) | |||
| Standard Deviation | 7.0 | |||
| Variance | 48.97 | |||
| Information Ratio | (0.12) | |||
| Jensen Alpha | (0.60) | |||
| Total Risk Alpha | (1.74) | |||
| Treynor Ratio | 0.7225 | |||
| Maximum Drawdown | 44.05 | |||
| Value At Risk | (8.33) | |||
| Potential Upside | 9.29 | |||
| Skewness | 0.7183 | |||
| Kurtosis | 2.19 |
Sandbox February 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 Sandbox 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 | 32,332 | ||
| Daily Balance Of Power | 0.80 | ||
| Rate Of Daily Change | 1.01 | ||
| Day Median Price | 0.09 | ||
| Day Typical Price | 0.09 | ||
| Price Action Indicator | 0.00 |
Check out World Market Map to better understand how to build diversified portfolios, which includes a position in The Sandbox. Also, note that the market value of any cryptocurrency could be closely tied with the direction of predictive economic indicators such as signals in inflation. You can also try the Balance Of Power module to check stock momentum by analyzing Balance Of Power indicator and other technical ratios.