Dash Market Value
| DASH Crypto | USD 29.50 0.13 0.44% |
| Symbol | Dash |
Dash '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 Dash'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 Dash.
| 03/28/2024 |
| 04/27/2024 |
If you would invest 0.00 in Dash on March 28, 2024 and sell it all today you would earn a total of 0.00 from holding Dash or generate 0.0% return on investment in Dash over 30 days. Dash is peer-to-peer digital currency powered by the Blockchain technology.
Dash 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 Dash'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 Dash upside and downside potential and time the market with a certain degree of confidence.
| Downside Deviation | 5.08 | |||
| Information Ratio | 0.0216 | |||
| Maximum Drawdown | 30.95 | |||
| Value At Risk | (9.35) | |||
| Potential Upside | 8.46 |
Dash Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for Dash's investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as Dash's standard deviation. In reality, there are many statistical measures that can use Dash historical prices to predict the future Dash's volatility.| Risk Adjusted Performance | 0.0334 | |||
| Jensen Alpha | 0.0889 | |||
| Total Risk Alpha | (0.44) | |||
| Sortino Ratio | 0.0212 | |||
| Treynor Ratio | 0.151 |
Sophisticated investors, who have witnessed many market ups and downs, anticipate that the market will even out over time. This tendency of Dash'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.
Dash Backtested Returns
Dash appears to be extremely risky, given 3 months investment horizon. Dash secures Sharpe Ratio (or Efficiency) of 0.0464, which denotes digital coin had a 0.0464% return per unit of risk over the last 3 months. We have found twenty-nine technical indicators for Dash, which you can use to evaluate the volatility of coin. Please utilize Dash's Downside Deviation of 5.08, mean deviation of 3.47, and Coefficient Of Variation of 2527.08 to check if our risk estimates are consistent with your expectations. The crypto shows a Beta (market volatility) of 1.24, which means 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, Dash will likely underperform.
Auto-correlation | -0.11 |
Insignificant reverse predictability
Dash has insignificant reverse predictability. Overlapping area represents the amount of predictability between Dash time series from 28th of March 2024 to 12th of April 2024 and 12th of April 2024 to 27th 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 Dash price movement. The serial correlation of -0.11 indicates that less than 11.0% of current Dash price fluctuation can be explain by its past prices.
| Correlation Coefficient | -0.11 | |
| Spearman Rank Test | -0.28 | |
| Residual Average | 0.0 | |
| Price Variance | 1.31 |
Dash lagged returns against current returns
Autocorrelation, which is Dash 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 Dash's crypto coin expected returns. We can calculate the autocorrelation of Dash returns to help us make a trade decision. For example, suppose you find that Dash 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 |
Dash 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 Dash crypto coin is displaying a positive serial correlation, investors will expect a positive pattern to continue. However, if Dash crypto coin is observed to have a negative serial correlation, investors will generally project negative sentiment on having a locked-in long position in Dash crypto coin over time.
Current vs Lagged Prices |
| Timeline |
Dash Lagged Returns
When evaluating Dash's market value, investors can use the concept of autocorrelation to see how much of an impact past prices of Dash crypto coin have on its future price. Dash 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, Dash autocorrelation shows the relationship between Dash crypto coin current value and its past values and can show if there is a momentum factor associated with investing in Dash.
Regressed Prices |
| Timeline |
Pair Trading with Dash
One of the main advantages of trading using pair correlations is that every trade hedges away some risk. Because there are two separate transactions required, even if Dash position performs unexpectedly, the other equity can make up some of the losses. Pair trading also minimizes risk from directional movements in the market. For example, if an entire industry or sector drops because of unexpected headlines, the short position in Dash will appreciate offsetting losses from the drop in the long position's value.Moving together with Dash Crypto Coin
| 0.81 | IOC | IOC | PairCorr |
Moving against Dash Crypto Coin
| 0.43 | SUPERC | SUPERC | PairCorr |
The ability to find closely correlated positions to Dash could be a great tool in your tax-loss harvesting strategies, allowing investors a quick way to find a similar-enough asset to replace Dash when you sell it. If you don't do this, your portfolio allocation will be skewed against your target asset allocation. So, investors can't just sell and buy back Dash - that would be a violation of the tax code under the "wash sale" rule, and this is why you need to find a similar enough asset and use the proceeds from selling Dash to buy it.
The correlation of Dash is a statistical measure of how it moves in relation to other instruments. This measure is expressed in what is known as the correlation coefficient, which ranges between -1 and +1. A perfect positive correlation (i.e., a correlation coefficient of +1) implies that as Dash moves, either up or down, the other security will move in the same direction. Alternatively, perfect negative correlation means that if Dash moves in either direction, the perfectly negatively correlated security will move in the opposite direction. If the correlation is 0, the equities are not correlated; they are entirely random. A correlation greater than 0.8 is generally described as strong, whereas a correlation less than 0.5 is generally considered weak.
Correlation analysis and pair trading evaluation for Dash can also be used as hedging techniques within a particular sector or industry or even over random equities to generate a better risk-adjusted return on your portfolios.Check out Dash Correlation, Dash Volatility and Investing Opportunities module to complement your research on Dash. You can also try the Competition Analyzer module to analyze and compare many basic indicators for a group of related or unrelated entities.
Dash 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.