SUKU Market Value
| SUKU Crypto | USD 0.05 0.0009 1.92% |
| Symbol | SUKU |
SUKU '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 SUKU'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 SUKU.
| 01/27/2025 |
| 02/26/2025 |
If you would invest 0.00 in SUKU on January 27, 2025 and sell it all today you would earn a total of 0.00 from holding SUKU or generate 0.0% return on investment in SUKU over 30 days. SUKU is related to or competes with Staked Ether, Phala Network, EigenLayer, Morpho, Tokocrypto, and DIA. SUKU is peer-to-peer digital currency powered by the Blockchain technology.
SUKU 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 SUKU'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 SUKU upside and downside potential and time the market with a certain degree of confidence.
| Information Ratio | (0.09) | |||
| Maximum Drawdown | 38.26 | |||
| Value At Risk | (11.17) | |||
| Potential Upside | 13.67 |
SUKU Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for SUKU's investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as SUKU's standard deviation. In reality, there are many statistical measures that can use SUKU historical prices to predict the future SUKU's volatility.| Risk Adjusted Performance | (0.06) | |||
| Jensen Alpha | (0.66) | |||
| Total Risk Alpha | (0.71) | |||
| Treynor Ratio | (2.43) |
SUKU Backtested Returns
SUKU owns Efficiency Ratio (i.e., Sharpe Ratio) of -0.0972, which indicates digital coin had a -0.0972 % return per unit of volatility over the last 3 months. SUKU exposes twenty-three different technical indicators, which can help you to evaluate volatility embedded in its price movement. Please validate SUKU's risk adjusted performance of (0.06), and Variance of 54.32 to confirm the risk estimate we provide. The entity has a beta of 0.27, which indicates not very significant fluctuations relative to the market. As returns on the market increase, SUKU's returns are expected to increase less than the market. However, during the bear market, the loss of holding SUKU is expected to be smaller as well.
Auto-correlation | 0.75 |
Good predictability
SUKU has good predictability. Overlapping area represents the amount of predictability between SUKU time series from 27th of January 2025 to 11th of February 2025 and 11th of February 2025 to 26th of February 2025. The more autocorrelation exist between current time interval and its lagged values, the more accurately you can make projection about the future pattern of SUKU price movement. The serial correlation of 0.75 indicates that around 75.0% of current SUKU price fluctuation can be explain by its past prices.
| Correlation Coefficient | 0.75 | |
| Spearman Rank Test | 0.51 | |
| Residual Average | 0.0 | |
| Price Variance | 0.0 |
SUKU lagged returns against current returns
Autocorrelation, which is SUKU crypto coin's lagged correlation, explains the relationship between observations of its time series of returns over different periods of time. The observations are said to be independent if autocorrelation is zero. Autocorrelation is calculated as a function of mean and variance and can have practical application in predicting SUKU's crypto coin expected returns. We can calculate the autocorrelation of SUKU returns to help us make a trade decision. For example, suppose you find that SUKU has exhibited high autocorrelation historically, and you observe that the crypto coin is moving up for the past few days. In that case, you can expect the price movement to match the lagging time series.
Current and Lagged Values |
| Timeline |
SUKU regressed lagged prices vs. current prices
Serial correlation can be approximated by using the Durbin-Watson (DW) test. The correlation can be either positive or negative. If SUKU crypto coin is displaying a positive serial correlation, investors will expect a positive pattern to continue. However, if SUKU crypto coin is observed to have a negative serial correlation, investors will generally project negative sentiment on having a locked-in long position in SUKU crypto coin over time.
Current vs Lagged Prices |
| Timeline |
SUKU Lagged Returns
When evaluating SUKU's market value, investors can use the concept of autocorrelation to see how much of an impact past prices of SUKU crypto coin have on its future price. SUKU autocorrelation represents the degree of similarity between a given time horizon and a lagged version of the same horizon over the previous time interval. In other words, SUKU autocorrelation shows the relationship between SUKU crypto coin current value and its past values and can show if there is a momentum factor associated with investing in SUKU.
Regressed Prices |
| Timeline |
Also Currently Popular
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 SUKU offers a strong return on investment in its stock, a comprehensive analysis is essential. The process typically begins with a thorough review of SUKU's financial statements, including income statements, balance sheets, and cash flow statements, to assess its financial health. Key financial ratios are used to gauge profitability, efficiency, and growth potential of Suku Crypto.Check out SUKU Correlation, SUKU Volatility and Investing Opportunities module to complement your research on SUKU. You can also try the Portfolio Volatility module to check portfolio volatility and analyze historical return density to properly model market risk.
SUKU 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.