Qtum Market Value
| QTUM Crypto | USD 3.75 0.21 5.93% |
| Symbol | Qtum |
Qtum '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 Qtum'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 Qtum.
| 10/29/2024 |
| 11/28/2024 |
If you would invest 0.00 in Qtum on October 29, 2024 and sell it all today you would earn a total of 0.00 from holding Qtum or generate 0.0% return on investment in Qtum over 30 days. Qtum is related to or competes with Staked Ether, EigenLayer, BLZ, Highstreet, Tokocrypto, and DIA. QTUM is peer-to-peer digital currency powered by the Blockchain technology.
Qtum 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 Qtum'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 Qtum upside and downside potential and time the market with a certain degree of confidence.
| Downside Deviation | 3.95 | |||
| Information Ratio | 0.144 | |||
| Maximum Drawdown | 17.42 | |||
| Value At Risk | (5.26) | |||
| Potential Upside | 8.37 |
Qtum Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for Qtum's investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as Qtum's standard deviation. In reality, there are many statistical measures that can use Qtum historical prices to predict the future Qtum's volatility.| Risk Adjusted Performance | 0.1418 | |||
| Jensen Alpha | 0.6149 | |||
| Total Risk Alpha | 0.063 | |||
| Sortino Ratio | 0.1545 | |||
| Treynor Ratio | 0.7591 |
Qtum Backtested Returns
Qtum appears to be very risky, given 3 months investment horizon. Qtum maintains Sharpe Ratio (i.e., Efficiency) of 0.2, which implies digital coin had a 0.2% return per unit of risk over the last 3 months. By analyzing Qtum's technical indicators, you can evaluate if the expected return of 0.87% is justified by implied risk. Please evaluate Qtum's Semi Deviation of 3.38, risk adjusted performance of 0.1418, and Coefficient Of Variation of 572.3 to confirm if our risk estimates are consistent with your expectations. The crypto holds a Beta of 0.96, which implies possible diversification benefits within a given portfolio. Qtum returns are very sensitive to returns on the market. As the market goes up or down, Qtum is expected to follow.
Auto-correlation | 0.76 |
Good predictability
Qtum has good predictability. Overlapping area represents the amount of predictability between Qtum time series from 29th of October 2024 to 13th of November 2024 and 13th of November 2024 to 28th 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 Qtum price movement. The serial correlation of 0.76 indicates that around 76.0% of current Qtum price fluctuation can be explain by its past prices.
| Correlation Coefficient | 0.76 | |
| Spearman Rank Test | 0.71 | |
| Residual Average | 0.0 | |
| Price Variance | 0.13 |
Qtum lagged returns against current returns
Autocorrelation, which is Qtum 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 Qtum's crypto coin expected returns. We can calculate the autocorrelation of Qtum returns to help us make a trade decision. For example, suppose you find that Qtum 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 |
Qtum 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 Qtum crypto coin is displaying a positive serial correlation, investors will expect a positive pattern to continue. However, if Qtum crypto coin is observed to have a negative serial correlation, investors will generally project negative sentiment on having a locked-in long position in Qtum crypto coin over time.
Current vs Lagged Prices |
| Timeline |
Qtum Lagged Returns
When evaluating Qtum's market value, investors can use the concept of autocorrelation to see how much of an impact past prices of Qtum crypto coin have on its future price. Qtum 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, Qtum autocorrelation shows the relationship between Qtum crypto coin current value and its past values and can show if there is a momentum factor associated with investing in Qtum.
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 Qtum offers a strong return on investment in its stock, a comprehensive analysis is essential. The process typically begins with a thorough review of Qtum'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 Qtum Crypto.Check out Qtum Correlation, Qtum Volatility and Investing Opportunities module to complement your research on Qtum. You can also try the Stock Tickers module to use high-impact, comprehensive, and customizable stock tickers that can be easily integrated to any websites.
Qtum 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.