Jupiter Market Value
| JUP Crypto | USD 0.46 0.01 2.22% |
| Symbol | Jupiter |
Jupiter '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 Jupiter'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 Jupiter.
| 06/03/2025 |
| 07/03/2025 |
If you would invest 0.00 in Jupiter on June 3, 2025 and sell it all today you would earn a total of 0.00 from holding Jupiter or generate 0.0% return on investment in Jupiter over 30 days. Jupiter is related to or competes with XRP, Solana, Hyperliquid, Sui, TRON, Staked Ether, and Toncoin. Jupiter is peer-to-peer digital currency powered by the Blockchain technology.
Jupiter 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 Jupiter'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 Jupiter upside and downside potential and time the market with a certain degree of confidence.
| Downside Deviation | 6.21 | |||
| Information Ratio | 0.0535 | |||
| Maximum Drawdown | 27.35 | |||
| Value At Risk | (10.34) | |||
| Potential Upside | 12.5 |
Jupiter Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for Jupiter's investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as Jupiter's standard deviation. In reality, there are many statistical measures that can use Jupiter historical prices to predict the future Jupiter's volatility.| Risk Adjusted Performance | 0.1231 | |||
| Jensen Alpha | 0.4613 | |||
| Total Risk Alpha | 0.0322 | |||
| Sortino Ratio | 0.0575 | |||
| Treynor Ratio | 46.23 |
Jupiter Backtested Returns
Jupiter appears to be unusually volatile, given 3 months investment horizon. Jupiter holds Efficiency (Sharpe) Ratio of 0.0764, which attests that digital coin had a 0.0764 % return per unit of risk over the last 3 months. By evaluating Jupiter's technical indicators, you can evaluate if the expected return of 0.51% is justified by implied risk. Please utilize Jupiter's Downside Deviation of 6.21, risk adjusted performance of 0.1231, and Market Risk Adjusted Performance of 46.24 to validate if our risk estimates are consistent with your expectations. The crypto retains a Market Volatility (i.e., Beta) of 0.01, which attests to not very significant fluctuations relative to the market. As returns on the market increase, Jupiter's returns are expected to increase less than the market. However, during the bear market, the loss of holding Jupiter is expected to be smaller as well.
Auto-correlation | -0.59 |
Good reverse predictability
Jupiter has good reverse predictability. Overlapping area represents the amount of predictability between Jupiter time series from 3rd of June 2025 to 18th of June 2025 and 18th of June 2025 to 3rd of July 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 Jupiter price movement. The serial correlation of -0.59 indicates that roughly 59.0% of current Jupiter price fluctuation can be explain by its past prices.
| Correlation Coefficient | -0.59 | |
| Spearman Rank Test | -0.72 | |
| Residual Average | 0.0 | |
| Price Variance | 0.0 |
Jupiter lagged returns against current returns
Autocorrelation, which is Jupiter 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 Jupiter's crypto coin expected returns. We can calculate the autocorrelation of Jupiter returns to help us make a trade decision. For example, suppose you find that Jupiter 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 |
Jupiter 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 Jupiter crypto coin is displaying a positive serial correlation, investors will expect a positive pattern to continue. However, if Jupiter crypto coin is observed to have a negative serial correlation, investors will generally project negative sentiment on having a locked-in long position in Jupiter crypto coin over time.
Current vs Lagged Prices |
| Timeline |
Jupiter Lagged Returns
When evaluating Jupiter's market value, investors can use the concept of autocorrelation to see how much of an impact past prices of Jupiter crypto coin have on its future price. Jupiter 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, Jupiter autocorrelation shows the relationship between Jupiter crypto coin current value and its past values and can show if there is a momentum factor associated with investing in Jupiter.
Regressed Prices |
| Timeline |
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Check out Jupiter Correlation, Jupiter Volatility and Investing Opportunities module to complement your research on Jupiter. You can also try the Price Exposure Probability module to analyze equity upside and downside potential for a given time horizon across multiple markets.
Jupiter 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.