DERO Market Value
| DERO Crypto | USD 0.75 0.03 3.85% |
| Symbol | DERO |
DERO '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 DERO'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 DERO.
| 01/19/2023 |
| 01/08/2025 |
If you would invest 0.00 in DERO on January 19, 2023 and sell it all today you would earn a total of 0.00 from holding DERO or generate 0.0% return on investment in DERO over 720 days. DERO is related to or competes with Staked Ether, Phala Network, EigenLayer, and Tokocrypto. DERO is peer-to-peer digital currency powered by the Blockchain technology.
DERO 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 DERO'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 DERO upside and downside potential and time the market with a certain degree of confidence.
| Information Ratio | (0.08) | |||
| Maximum Drawdown | 29.39 | |||
| Value At Risk | (11.11) | |||
| Potential Upside | 9.52 |
DERO Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for DERO's investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as DERO's standard deviation. In reality, there are many statistical measures that can use DERO historical prices to predict the future DERO's volatility.| Risk Adjusted Performance | (0.05) | |||
| Jensen Alpha | (0.51) | |||
| Total Risk Alpha | (0.50) | |||
| Treynor Ratio | (0.42) |
DERO Backtested Returns
DERO secures Sharpe Ratio (or Efficiency) of -0.0656, which denotes digital coin had a -0.0656% return per unit of volatility over the last 3 months. DERO exposes twenty-three different technical indicators, which can help you to evaluate volatility embedded in its price movement. Please confirm DERO's Market Risk Adjusted Performance of (0.41), standard deviation of 6.6, and Mean Deviation of 5.23 to check the risk estimate we provide. The crypto shows a Beta (market volatility) of 1.21, 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, DERO will likely underperform.
Auto-correlation | -0.44 |
Modest reverse predictability
DERO has modest reverse predictability. Overlapping area represents the amount of predictability between DERO time series from 19th of January 2023 to 14th of January 2024 and 14th of January 2024 to 8th of January 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 DERO price movement. The serial correlation of -0.44 indicates that just about 44.0% of current DERO price fluctuation can be explain by its past prices.
| Correlation Coefficient | -0.44 | |
| Spearman Rank Test | 0.13 | |
| Residual Average | 0.0 | |
| Price Variance | 0.22 |
DERO lagged returns against current returns
Autocorrelation, which is DERO 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 DERO's crypto coin expected returns. We can calculate the autocorrelation of DERO returns to help us make a trade decision. For example, suppose you find that DERO 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 |
DERO 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 DERO crypto coin is displaying a positive serial correlation, investors will expect a positive pattern to continue. However, if DERO crypto coin is observed to have a negative serial correlation, investors will generally project negative sentiment on having a locked-in long position in DERO crypto coin over time.
Current vs Lagged Prices |
| Timeline |
DERO Lagged Returns
When evaluating DERO's market value, investors can use the concept of autocorrelation to see how much of an impact past prices of DERO crypto coin have on its future price. DERO 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, DERO autocorrelation shows the relationship between DERO crypto coin current value and its past values and can show if there is a momentum factor associated with investing in DERO.
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.| BTC | Bitcoin | |
| TRX | TRON | |
| BNB | Binance Coin |
Check out DERO Correlation, DERO Volatility and Investing Opportunities module to complement your research on DERO. You can also try the Balance Of Power module to check stock momentum by analyzing Balance Of Power indicator and other technical ratios.
DERO 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.