WHOLE Market Value
| WHOLE Crypto | USD 0.000005 0.00 0.00% |
| Symbol | WHOLE |
WHOLE '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 WHOLE'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 WHOLE.
| 04/28/2025 |
| 07/27/2025 |
If you would invest 0.00 in WHOLE on April 28, 2025 and sell it all today you would earn a total of 0.00 from holding WHOLE or generate 0.0% return on investment in WHOLE over 90 days. WHOLE is related to or competes with Staked Ether, EigenLayer, Morpho, and DIA. WHOLE is peer-to-peer digital currency powered by the Blockchain technology.
WHOLE 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 WHOLE'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 WHOLE upside and downside potential and time the market with a certain degree of confidence.
WHOLE Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for WHOLE's investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as WHOLE's standard deviation. In reality, there are many statistical measures that can use WHOLE historical prices to predict the future WHOLE's volatility.Sophisticated investors, who have witnessed many market ups and downs, anticipate that the market will even out over time. This tendency of WHOLE's price to converge to an average value over time is called mean reversion. However, historically, high market prices usually discourage investors that believe in mean reversion to invest, while low prices are viewed as an opportunity to buy.
WHOLE Backtested Returns
We have found one technical indicators for WHOLE, which you can use to evaluate the volatility of coin. The entity maintains a market beta of 0.0, which attests to not very significant fluctuations relative to the market. the returns on MARKET and WHOLE are completely uncorrelated.
Auto-correlation | 0.00 |
No correlation between past and present
WHOLE has no correlation between past and present. Overlapping area represents the amount of predictability between WHOLE time series from 28th of April 2025 to 12th of June 2025 and 12th of June 2025 to 27th 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 WHOLE price movement. The serial correlation of 0.0 indicates that just 0.0% of current WHOLE price fluctuation can be explain by its past prices.
| Correlation Coefficient | 0.0 | |
| Spearman Rank Test | 1.0 | |
| Residual Average | 0.0 | |
| Price Variance | 0.0 |
WHOLE lagged returns against current returns
Autocorrelation, which is WHOLE 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 WHOLE's crypto coin expected returns. We can calculate the autocorrelation of WHOLE returns to help us make a trade decision. For example, suppose you find that WHOLE 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 |
WHOLE 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 WHOLE crypto coin is displaying a positive serial correlation, investors will expect a positive pattern to continue. However, if WHOLE crypto coin is observed to have a negative serial correlation, investors will generally project negative sentiment on having a locked-in long position in WHOLE crypto coin over time.
Current vs Lagged Prices |
| Timeline |
WHOLE Lagged Returns
When evaluating WHOLE's market value, investors can use the concept of autocorrelation to see how much of an impact past prices of WHOLE crypto coin have on its future price. WHOLE 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, WHOLE autocorrelation shows the relationship between WHOLE crypto coin current value and its past values and can show if there is a momentum factor associated with investing in WHOLE.
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 WHOLE offers a strong return on investment in its stock, a comprehensive analysis is essential. The process typically begins with a thorough review of WHOLE'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 Whole Crypto.Check out WHOLE Correlation, WHOLE Volatility and Investing Opportunities module to complement your research on WHOLE. You can also try the Stocks Directory module to find actively traded stocks across global markets.
WHOLE 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.