Waves Market Value
| WAVES Crypto | USD 2.58 0.07 2.64% |
| Symbol | Waves |
Waves '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 Waves' 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 Waves.
| 06/28/2023 |
| 04/23/2024 |
If you would invest 0.00 in Waves on June 28, 2023 and sell it all today you would earn a total of 0.00 from holding Waves or generate 0.0% return on investment in Waves over 300 days. Waves is related to or competes with Staked Ether, XCAD Network, Phala Network, Bluzelle, Highstreet, and Tokocrypto. Waves is peer-to-peer digital currency powered by the Blockchain technology.
Waves 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 Waves' 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 Waves upside and downside potential and time the market with a certain degree of confidence.
| Downside Deviation | 6.62 | |||
| Information Ratio | 0.0423 | |||
| Maximum Drawdown | 44.1 | |||
| Value At Risk | (11.58) | |||
| Potential Upside | 9.32 |
Waves Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for Waves' investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as Waves' standard deviation. In reality, there are many statistical measures that can use Waves historical prices to predict the future Waves' volatility.| Risk Adjusted Performance | 0.043 | |||
| Jensen Alpha | 0.2142 | |||
| Total Risk Alpha | (0.45) | |||
| Sortino Ratio | 0.0415 | |||
| Treynor Ratio | 0.194 |
Sophisticated investors, who have witnessed many market ups and downs, anticipate that the market will even out over time. This tendency of Waves' 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.
Waves Backtested Returns
Waves appears to be unusually volatile, given 3 months investment horizon. Waves shows Sharpe Ratio of 0.0829, which attests that digital coin had a 0.0829% return per unit of risk over the last 3 months. By examining Waves' technical indicators, you can evaluate if the expected return of 0.53% is justified by implied risk. Please utilize Waves' Mean Deviation of 4.27, market risk adjusted performance of 0.204, and Downside Deviation of 6.62 to validate if our risk estimates are consistent with your expectations. The entity maintains a market beta of 1.81, which attests to a somewhat significant risk relative to the market. As the market goes up, the company is expected to outperform it. However, if the market returns are negative, Waves will likely underperform.
Auto-correlation | -0.15 |
Insignificant reverse predictability
Waves has insignificant reverse predictability. Overlapping area represents the amount of predictability between Waves time series from 28th of June 2023 to 25th of November 2023 and 25th of November 2023 to 23rd of April 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 Waves price movement. The serial correlation of -0.15 indicates that less than 15.0% of current Waves price fluctuation can be explain by its past prices.
| Correlation Coefficient | -0.15 | |
| Spearman Rank Test | -0.01 | |
| Residual Average | 0.0 | |
| Price Variance | 0.34 |
Waves lagged returns against current returns
Autocorrelation, which is Waves 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 Waves' crypto coin expected returns. We can calculate the autocorrelation of Waves returns to help us make a trade decision. For example, suppose you find that Waves 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 |
Waves 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 Waves crypto coin is displaying a positive serial correlation, investors will expect a positive pattern to continue. However, if Waves crypto coin is observed to have a negative serial correlation, investors will generally project negative sentiment on having a locked-in long position in Waves crypto coin over time.
Current vs Lagged Prices |
| Timeline |
Waves Lagged Returns
When evaluating Waves' market value, investors can use the concept of autocorrelation to see how much of an impact past prices of Waves crypto coin have on its future price. Waves 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, Waves autocorrelation shows the relationship between Waves crypto coin current value and its past values and can show if there is a momentum factor associated with investing in Waves.
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 Waves offers a strong return on investment in its stock, a comprehensive analysis is essential. The process typically begins with a thorough review of Waves' 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 Waves Crypto.Check out Waves Correlation, Waves Volatility and Investing Opportunities module to complement your research on Waves. You can also try the Global Markets Map module to get a quick overview of global market snapshot using zoomable world map. Drill down to check world indexes.
Waves 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.