Qtum Market Value

QTUM Crypto  USD 2.21  0.06  2.79%   
Qtum's market value is the price at which a share of Qtum trades on a public exchange. It measures the collective expectations of Qtum investors about its performance. Qtum is trading at 2.21 as of the 16th of March 2025, a 2.79 percent up since the beginning of the trading day. With this module, you can estimate the performance of a buy and hold strategy of Qtum and determine expected loss or profit from investing in Qtum over a given investment horizon. Check out Qtum Correlation, Qtum Volatility and Investing Opportunities module to complement your research on Qtum.
Symbol

Please note, there is a significant difference between Qtum's coin value and its market price as these two are different measures arrived at by different means. Cryptocurrency investors typically determine Qtum value by looking at such factors as its true mass adoption, usability, application, safety as well as its ability to resist fraud and manipulation. On the other hand, Qtum's price is the amount at which it trades on the cryptocurrency exchange or other digital marketplace that truly represents its supply and demand.

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.
0.00
12/16/2024
No Change 0.00  0.0 
In 3 months and 1 day
03/16/2025
0.00
If you would invest  0.00  in Qtum on December 16, 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 90 days. Qtum is related to or competes with Staked Ether, Phala Network, EigenLayer, Morpho, 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.

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.
Hype
Prediction
LowEstimatedHigh
0.112.218.08
Details
Intrinsic
Valuation
LowRealHigh
0.112.178.04
Details
Naive
Forecast
LowNextHigh
0.052.398.27
Details
Bollinger
Band Projection (param)
LowerMiddle BandUpper
1.902.813.72
Details

Qtum Backtested Returns

Qtum maintains Sharpe Ratio (i.e., Efficiency) of -0.11, which implies digital coin had a -0.11 % return per unit of risk over the last 3 months. Qtum exposes twenty-four different technical indicators, which can help you to evaluate volatility embedded in its price movement. Please check Qtum's Variance of 34.66, risk adjusted performance of (0.11), and Coefficient Of Variation of (748.69) to confirm the risk estimate we provide. The crypto holds a Beta of -0.59, which implies possible diversification benefits within a given portfolio. As returns on the market increase, returns on owning Qtum are expected to decrease at a much lower rate. During the bear market, Qtum is likely to outperform the market.

Auto-correlation

    
  0.36  

Below average predictability

Qtum has below average predictability. Overlapping area represents the amount of predictability between Qtum time series from 16th of December 2024 to 30th of January 2025 and 30th of January 2025 to 16th 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 Qtum price movement. The serial correlation of 0.36 indicates that just about 36.0% of current Qtum price fluctuation can be explain by its past prices.
Correlation Coefficient0.36
Spearman Rank Test0.31
Residual Average0.0
Price Variance0.26

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  

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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 Equity Analysis module to research over 250,000 global equities including funds, stocks and ETFs to find investment opportunities.
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.
A focus of Qtum technical analysis is to determine if market prices reflect all relevant information impacting that market. A technical analyst looks at the history of Qtum trading pattern rather than external drivers such as economic, fundamental, or social events. It is believed that price action tends to repeat itself due to investors' collective, patterned behavior. Hence technical analysis focuses on identifiable price trends and conditions. More Info...