SENT Market Value
| SENT Crypto | USD 0 0.000002 0.15% |
| Symbol | SENT |
SENT '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 SENT'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 SENT.
| 12/15/2024 |
| 03/15/2025 |
If you would invest 0.00 in SENT on December 15, 2024 and sell it all today you would earn a total of 0.00 from holding SENT or generate 0.0% return on investment in SENT over 90 days. SENT is related to or competes with Staked Ether, Phala Network, EigenLayer, Morpho, and DIA. SENT is peer-to-peer digital currency powered by the Blockchain technology.
SENT 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 SENT'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 SENT upside and downside potential and time the market with a certain degree of confidence.
| Information Ratio | (0.13) | |||
| Maximum Drawdown | 12.97 | |||
| Value At Risk | (5.02) | |||
| Potential Upside | 3.97 |
SENT Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for SENT's investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as SENT's standard deviation. In reality, there are many statistical measures that can use SENT historical prices to predict the future SENT's volatility.| Risk Adjusted Performance | (0.13) | |||
| Jensen Alpha | (0.67) | |||
| Total Risk Alpha | (0.14) | |||
| Treynor Ratio | 0.6254 |
SENT Backtested Returns
SENT owns Efficiency Ratio (i.e., Sharpe Ratio) of -0.19, which indicates digital coin had a -0.19 % return per unit of standard deviation over the last 3 months. SENT exposes twenty-three different technical indicators, which can help you to evaluate volatility embedded in its price movement. Please validate SENT's variance of 11.94, and Risk Adjusted Performance of (0.13) to confirm the risk estimate we provide. The entity has a beta of -0.91, which indicates possible diversification benefits within a given portfolio. As the market becomes more bullish, returns on owning SENT are expected to decrease slowly. On the other hand, during market turmoil, SENT is expected to outperform it slightly.
Auto-correlation | -0.48 |
Modest reverse predictability
SENT has modest reverse predictability. Overlapping area represents the amount of predictability between SENT time series from 15th of December 2024 to 29th of January 2025 and 29th of January 2025 to 15th of March 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 SENT price movement. The serial correlation of -0.48 indicates that about 48.0% of current SENT price fluctuation can be explain by its past prices.
| Correlation Coefficient | -0.48 | |
| Spearman Rank Test | -0.35 | |
| Residual Average | 0.0 | |
| Price Variance | 0.0 |
SENT lagged returns against current returns
Autocorrelation, which is SENT 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 SENT's crypto coin expected returns. We can calculate the autocorrelation of SENT returns to help us make a trade decision. For example, suppose you find that SENT 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 |
SENT 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 SENT crypto coin is displaying a positive serial correlation, investors will expect a positive pattern to continue. However, if SENT crypto coin is observed to have a negative serial correlation, investors will generally project negative sentiment on having a locked-in long position in SENT crypto coin over time.
Current vs Lagged Prices |
| Timeline |
SENT Lagged Returns
When evaluating SENT's market value, investors can use the concept of autocorrelation to see how much of an impact past prices of SENT crypto coin have on its future price. SENT 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, SENT autocorrelation shows the relationship between SENT crypto coin current value and its past values and can show if there is a momentum factor associated with investing in SENT.
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 SENT offers a strong return on investment in its stock, a comprehensive analysis is essential. The process typically begins with a thorough review of SENT'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 Sent Crypto.Check out SENT Correlation, SENT Volatility and Investing Opportunities module to complement your research on SENT. You can also try the Fundamental Analysis module to view fundamental data based on most recent published financial statements.
SENT 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.