SNET Market Value
| SNET Crypto | USD 0.0007 0.0002 18.41% |
| Symbol | SNET |
SNET '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 SNET'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 SNET.
| 11/01/2024 |
| 12/01/2024 |
If you would invest 0.00 in SNET on November 1, 2024 and sell it all today you would earn a total of 0.00 from holding SNET or generate 0.0% return on investment in SNET over 30 days. SNET is related to or competes with Staked Ether, EigenLayer, BLZ, Highstreet, Tokocrypto, and DIA. SNET is peer-to-peer digital currency powered by the Blockchain technology.
SNET 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 SNET'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 SNET upside and downside potential and time the market with a certain degree of confidence.
| Information Ratio | (0.07) | |||
| Maximum Drawdown | 67.9 | |||
| Value At Risk | (11.87) | |||
| Potential Upside | 9.52 |
SNET Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for SNET's investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as SNET's standard deviation. In reality, there are many statistical measures that can use SNET historical prices to predict the future SNET's volatility.| Risk Adjusted Performance | (0.03) | |||
| Jensen Alpha | (0.98) | |||
| Total Risk Alpha | (2.08) | |||
| Treynor Ratio | (0.15) |
SNET Backtested Returns
SNET owns Efficiency Ratio (i.e., Sharpe Ratio) of -0.0601, which indicates digital coin had a -0.0601% return per unit of volatility over the last 3 months. SNET exposes twenty-four different technical indicators, which can help you to evaluate volatility embedded in its price movement. Please validate SNET's risk adjusted performance of (0.03), and Variance of 86.45 to confirm the risk estimate we provide. The entity has a beta of 3.5, 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, SNET will likely underperform.
Auto-correlation | 0.13 |
Insignificant predictability
SNET has insignificant predictability. Overlapping area represents the amount of predictability between SNET time series from 1st of November 2024 to 16th of November 2024 and 16th of November 2024 to 1st of December 2024. The more autocorrelation exist between current time interval and its lagged values, the more accurately you can make projection about the future pattern of SNET price movement. The serial correlation of 0.13 indicates that less than 13.0% of current SNET price fluctuation can be explain by its past prices.
| Correlation Coefficient | 0.13 | |
| Spearman Rank Test | -0.12 | |
| Residual Average | 0.0 | |
| Price Variance | 0.0 |
SNET lagged returns against current returns
Autocorrelation, which is SNET 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 SNET's crypto coin expected returns. We can calculate the autocorrelation of SNET returns to help us make a trade decision. For example, suppose you find that SNET 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 |
SNET 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 SNET crypto coin is displaying a positive serial correlation, investors will expect a positive pattern to continue. However, if SNET crypto coin is observed to have a negative serial correlation, investors will generally project negative sentiment on having a locked-in long position in SNET crypto coin over time.
Current vs Lagged Prices |
| Timeline |
SNET Lagged Returns
When evaluating SNET's market value, investors can use the concept of autocorrelation to see how much of an impact past prices of SNET crypto coin have on its future price. SNET 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, SNET autocorrelation shows the relationship between SNET crypto coin current value and its past values and can show if there is a momentum factor associated with investing in SNET.
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 SNET offers a strong return on investment in its stock, a comprehensive analysis is essential. The process typically begins with a thorough review of SNET'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 Snet Crypto.Check out SNET Correlation, SNET Volatility and Investing Opportunities module to complement your research on SNET. You can also try the Portfolio Manager module to state of the art Portfolio Manager to monitor and improve performance of your invested capital.
SNET 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.