SENC Market Value
| SENC Crypto | USD 0.0002 0.000002 1.31% |
| Symbol | SENC |
SENC '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 SENC'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 SENC.
| 12/16/2024 |
| 03/16/2025 |
If you would invest 0.00 in SENC on December 16, 2024 and sell it all today you would earn a total of 0.00 from holding SENC or generate 0.0% return on investment in SENC over 90 days. SENC is related to or competes with Staked Ether, Phala Network, EigenLayer, Morpho, and DIA. SENC is peer-to-peer digital currency powered by the Blockchain technology.
SENC 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 SENC'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 SENC upside and downside potential and time the market with a certain degree of confidence.
| Information Ratio | (0.03) | |||
| Maximum Drawdown | 74.75 | |||
| Value At Risk | (18.22) | |||
| Potential Upside | 22.76 |
SENC Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for SENC's investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as SENC's standard deviation. In reality, there are many statistical measures that can use SENC historical prices to predict the future SENC's volatility.| Risk Adjusted Performance | (0.02) | |||
| Jensen Alpha | (0.30) | |||
| Total Risk Alpha | 1.04 | |||
| Treynor Ratio | (0.37) |
SENC Backtested Returns
SENC owns Efficiency Ratio (i.e., Sharpe Ratio) of -0.0378, which indicates digital coin had a -0.0378 % return per unit of standard deviation over the last 3 months. SENC exposes twenty-one different technical indicators, which can help you to evaluate volatility embedded in its price movement. Please validate SENC's risk adjusted performance of (0.02), and Variance of 134.73 to confirm the risk estimate we provide. The entity has a beta of 1.12, which indicates a somewhat significant risk relative to the market. SENC returns are very sensitive to returns on the market. As the market goes up or down, SENC is expected to follow.
Auto-correlation | 0.39 |
Below average predictability
SENC has below average predictability. Overlapping area represents the amount of predictability between SENC time series from 16th of December 2024 to 30th of January 2025 and 30th of January 2025 to 16th 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 SENC price movement. The serial correlation of 0.39 indicates that just about 39.0% of current SENC price fluctuation can be explain by its past prices.
| Correlation Coefficient | 0.39 | |
| Spearman Rank Test | 0.41 | |
| Residual Average | 0.0 | |
| Price Variance | 0.0 |
SENC lagged returns against current returns
Autocorrelation, which is SENC 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 SENC's crypto coin expected returns. We can calculate the autocorrelation of SENC returns to help us make a trade decision. For example, suppose you find that SENC 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 |
SENC 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 SENC crypto coin is displaying a positive serial correlation, investors will expect a positive pattern to continue. However, if SENC crypto coin is observed to have a negative serial correlation, investors will generally project negative sentiment on having a locked-in long position in SENC crypto coin over time.
Current vs Lagged Prices |
| Timeline |
SENC Lagged Returns
When evaluating SENC's market value, investors can use the concept of autocorrelation to see how much of an impact past prices of SENC crypto coin have on its future price. SENC 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, SENC autocorrelation shows the relationship between SENC crypto coin current value and its past values and can show if there is a momentum factor associated with investing in SENC.
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 SENC offers a strong return on investment in its stock, a comprehensive analysis is essential. The process typically begins with a thorough review of SENC'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 Senc Crypto.Check out SENC Correlation, SENC Volatility and Investing Opportunities module to complement your research on SENC. You can also try the Companies Directory module to evaluate performance of over 100,000 Stocks, Funds, and ETFs against different fundamentals.
SENC 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.