SIGNA Market Value
SIGNA Crypto | USD 0 0.0002 9.68% |
Symbol | SIGNA |
SIGNA '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 SIGNA'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 SIGNA.
12/17/2024 |
| 03/17/2025 |
If you would invest 0.00 in SIGNA on December 17, 2024 and sell it all today you would earn a total of 0.00 from holding SIGNA or generate 0.0% return on investment in SIGNA over 90 days. SIGNA is related to or competes with Staked Ether, Phala Network, EigenLayer, Morpho, and DIA. SIGNA is peer-to-peer digital currency powered by the Blockchain technology.
SIGNA 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 SIGNA'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 SIGNA upside and downside potential and time the market with a certain degree of confidence.
Information Ratio | (0.11) | |||
Maximum Drawdown | 12.92 | |||
Value At Risk | (5.04) | |||
Potential Upside | 3.95 |
SIGNA Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for SIGNA's investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as SIGNA's standard deviation. In reality, there are many statistical measures that can use SIGNA historical prices to predict the future SIGNA's volatility.Risk Adjusted Performance | (0.12) | |||
Jensen Alpha | (0.46) | |||
Total Risk Alpha | (0.07) | |||
Treynor Ratio | 0.7606 |
SIGNA Backtested Returns
SIGNA owns Efficiency Ratio (i.e., Sharpe Ratio) of -0.15, which indicates digital coin had a -0.15 % return per unit of volatility over the last 3 months. SIGNA exposes twenty-four different technical indicators, which can help you to evaluate volatility embedded in its price movement. Please validate SIGNA's variance of 7.16, and Risk Adjusted Performance of (0.12) to confirm the risk estimate we provide. The entity has a beta of -0.53, which indicates possible diversification benefits within a given portfolio. As returns on the market increase, returns on owning SIGNA are expected to decrease at a much lower rate. During the bear market, SIGNA is likely to outperform the market.
Auto-correlation | -0.6 |
Good reverse predictability
SIGNA has good reverse predictability. Overlapping area represents the amount of predictability between SIGNA time series from 17th of December 2024 to 31st of January 2025 and 31st of January 2025 to 17th 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 SIGNA price movement. The serial correlation of -0.6 indicates that roughly 60.0% of current SIGNA price fluctuation can be explain by its past prices.
Correlation Coefficient | -0.6 | |
Spearman Rank Test | -0.47 | |
Residual Average | 0.0 | |
Price Variance | 0.0 |
SIGNA lagged returns against current returns
Autocorrelation, which is SIGNA 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 SIGNA's crypto coin expected returns. We can calculate the autocorrelation of SIGNA returns to help us make a trade decision. For example, suppose you find that SIGNA 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 |
SIGNA 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 SIGNA crypto coin is displaying a positive serial correlation, investors will expect a positive pattern to continue. However, if SIGNA crypto coin is observed to have a negative serial correlation, investors will generally project negative sentiment on having a locked-in long position in SIGNA crypto coin over time.
Current vs Lagged Prices |
Timeline |
SIGNA Lagged Returns
When evaluating SIGNA's market value, investors can use the concept of autocorrelation to see how much of an impact past prices of SIGNA crypto coin have on its future price. SIGNA 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, SIGNA autocorrelation shows the relationship between SIGNA crypto coin current value and its past values and can show if there is a momentum factor associated with investing in SIGNA.
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 SIGNA offers a strong return on investment in its stock, a comprehensive analysis is essential. The process typically begins with a thorough review of SIGNA'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 Signa Crypto.Check out SIGNA Correlation, SIGNA Volatility and Investing Opportunities module to complement your research on SIGNA. You can also try the FinTech Suite module to use AI to screen and filter profitable investment opportunities.
SIGNA 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.