KARRAT Market Value
| KARRAT Crypto | USD 0.45 0.04 8.16% |
| Symbol | KARRAT |
KARRAT '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 KARRAT'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 KARRAT.
| 10/22/2024 |
| 11/21/2024 |
If you would invest 0.00 in KARRAT on October 22, 2024 and sell it all today you would earn a total of 0.00 from holding KARRAT or generate 0.0% return on investment in KARRAT over 30 days. KARRAT is related to or competes with Staked Ether, EigenLayer, BLZ, Highstreet, Tokocrypto, and DIA. KARRAT is peer-to-peer digital currency powered by the Blockchain technology.
KARRAT 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 KARRAT'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 KARRAT upside and downside potential and time the market with a certain degree of confidence.
| Downside Deviation | 7.85 | |||
| Information Ratio | 0.0579 | |||
| Maximum Drawdown | 130.63 | |||
| Value At Risk | (12.00) | |||
| Potential Upside | 18.0 |
KARRAT Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for KARRAT's investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as KARRAT's standard deviation. In reality, there are many statistical measures that can use KARRAT historical prices to predict the future KARRAT's volatility.| Risk Adjusted Performance | 0.0576 | |||
| Jensen Alpha | 0.9247 | |||
| Total Risk Alpha | (0.80) | |||
| Sortino Ratio | 0.1176 | |||
| Treynor Ratio | 1.03 |
KARRAT Backtested Returns
KARRAT appears to be abnormally risky, given 3 months investment horizon. KARRAT has Sharpe Ratio of 0.0595, which conveys that digital coin had a 0.0595% return per unit of volatility over the last 3 months. By evaluating KARRAT's technical indicators, you can evaluate if the expected return of 0.95% is justified by implied risk. Please exercise KARRAT's Mean Deviation of 8.04, downside deviation of 7.85, and Market Risk Adjusted Performance of 1.04 to check out if our risk estimates are consistent with your expectations. The entity secures a Beta (Market Risk) of 0.98, which conveys possible diversification benefits within a given portfolio. KARRAT returns are very sensitive to returns on the market. As the market goes up or down, KARRAT is expected to follow.
Auto-correlation | 0.04 |
Virtually no predictability
KARRAT has virtually no predictability. Overlapping area represents the amount of predictability between KARRAT time series from 22nd of October 2024 to 6th of November 2024 and 6th of November 2024 to 21st of November 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 KARRAT price movement. The serial correlation of 0.04 indicates that only as little as 4.0% of current KARRAT price fluctuation can be explain by its past prices.
| Correlation Coefficient | 0.04 | |
| Spearman Rank Test | 0.28 | |
| Residual Average | 0.0 | |
| Price Variance | 0.0 |
KARRAT lagged returns against current returns
Autocorrelation, which is KARRAT 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 KARRAT's crypto coin expected returns. We can calculate the autocorrelation of KARRAT returns to help us make a trade decision. For example, suppose you find that KARRAT 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 |
KARRAT 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 KARRAT crypto coin is displaying a positive serial correlation, investors will expect a positive pattern to continue. However, if KARRAT crypto coin is observed to have a negative serial correlation, investors will generally project negative sentiment on having a locked-in long position in KARRAT crypto coin over time.
Current vs Lagged Prices |
| Timeline |
KARRAT Lagged Returns
When evaluating KARRAT's market value, investors can use the concept of autocorrelation to see how much of an impact past prices of KARRAT crypto coin have on its future price. KARRAT 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, KARRAT autocorrelation shows the relationship between KARRAT crypto coin current value and its past values and can show if there is a momentum factor associated with investing in KARRAT.
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 KARRAT offers a strong return on investment in its stock, a comprehensive analysis is essential. The process typically begins with a thorough review of KARRAT'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 Karrat Crypto.Check out KARRAT Correlation, KARRAT Volatility and Investing Opportunities module to complement your research on KARRAT. You can also try the Transaction History module to view history of all your transactions and understand their impact on performance.
KARRAT 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.