JAR Market Value
| JAR Crypto | USD 0 0.0004 12.67% |
| Symbol | JAR |
JAR '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 JAR'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 JAR.
| 01/27/2025 |
| 02/26/2025 |
If you would invest 0.00 in JAR on January 27, 2025 and sell it all today you would earn a total of 0.00 from holding JAR or generate 0.0% return on investment in JAR over 30 days. JAR is related to or competes with Staked Ether, Phala Network, EigenLayer, Morpho, Tokocrypto, and DIA. JAR is peer-to-peer digital currency powered by the Blockchain technology.
JAR 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 JAR'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 JAR upside and downside potential and time the market with a certain degree of confidence.
| Information Ratio | (0.08) | |||
| Maximum Drawdown | 12.97 | |||
| Value At Risk | (3.70) | |||
| Potential Upside | 4.13 |
JAR Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for JAR's investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as JAR's standard deviation. In reality, there are many statistical measures that can use JAR historical prices to predict the future JAR's volatility.| Risk Adjusted Performance | (0.05) | |||
| Jensen Alpha | (0.23) | |||
| Total Risk Alpha | (0.25) | |||
| Treynor Ratio | 0.4742 |
JAR Backtested Returns
JAR holds Efficiency (Sharpe) Ratio of -0.11, which attests that digital coin had a -0.11 % return per unit of volatility over the last 3 months. JAR exposes twenty-four different technical indicators, which can help you to evaluate volatility embedded in its price movement. Please check out JAR's coefficient of variation of (1,305), and Market Risk Adjusted Performance of 0.4842 to validate the risk estimate we provide. The entity retains a Market Volatility (i.e., Beta) of -0.48, which attests to possible diversification benefits within a given portfolio. As returns on the market increase, returns on owning JAR are expected to decrease at a much lower rate. During the bear market, JAR is likely to outperform the market.
Auto-correlation | 0.47 |
Average predictability
JAR has average predictability. Overlapping area represents the amount of predictability between JAR time series from 27th of January 2025 to 11th of February 2025 and 11th of February 2025 to 26th of February 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 JAR price movement. The serial correlation of 0.47 indicates that about 47.0% of current JAR price fluctuation can be explain by its past prices.
| Correlation Coefficient | 0.47 | |
| Spearman Rank Test | 0.74 | |
| Residual Average | 0.0 | |
| Price Variance | 0.0 |
JAR lagged returns against current returns
Autocorrelation, which is JAR 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 JAR's crypto coin expected returns. We can calculate the autocorrelation of JAR returns to help us make a trade decision. For example, suppose you find that JAR 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 |
JAR 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 JAR crypto coin is displaying a positive serial correlation, investors will expect a positive pattern to continue. However, if JAR crypto coin is observed to have a negative serial correlation, investors will generally project negative sentiment on having a locked-in long position in JAR crypto coin over time.
Current vs Lagged Prices |
| Timeline |
JAR Lagged Returns
When evaluating JAR's market value, investors can use the concept of autocorrelation to see how much of an impact past prices of JAR crypto coin have on its future price. JAR 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, JAR autocorrelation shows the relationship between JAR crypto coin current value and its past values and can show if there is a momentum factor associated with investing in JAR.
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 JAR offers a strong return on investment in its stock, a comprehensive analysis is essential. The process typically begins with a thorough review of JAR'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 Jar Crypto.Check out JAR Correlation, JAR Volatility and Investing Opportunities module to complement your research on JAR. You can also try the Correlation Analysis module to reduce portfolio risk simply by holding instruments which are not perfectly correlated.
JAR 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.