ADB Market Value
| ADB Crypto | USD 0.0003 0.000005 1.98% |
| Symbol | ADB |
ADB '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 ADB'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 ADB.
| 01/31/2025 |
| 03/02/2025 |
If you would invest 0.00 in ADB on January 31, 2025 and sell it all today you would earn a total of 0.00 from holding ADB or generate 0.0% return on investment in ADB over 30 days. ADB is related to or competes with Staked Ether, Phala Network, EigenLayer, Morpho, Tokocrypto, and DIA. ADB is peer-to-peer digital currency powered by the Blockchain technology.
ADB 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 ADB'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 ADB upside and downside potential and time the market with a certain degree of confidence.
| Information Ratio | (0.06) | |||
| Maximum Drawdown | 13.1 | |||
| Value At Risk | (3.69) | |||
| Potential Upside | 4.0 |
ADB Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for ADB's investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as ADB's standard deviation. In reality, there are many statistical measures that can use ADB historical prices to predict the future ADB's volatility.| Risk Adjusted Performance | (0.04) | |||
| Jensen Alpha | (0.18) | |||
| Total Risk Alpha | (0.1) | |||
| Treynor Ratio | 0.3821 |
ADB Backtested Returns
ADB retains Efficiency (Sharpe Ratio) of -0.0575, which signifies that digital coin had a -0.0575 % return per unit of risk over the last 3 months. ADB exposes nineteen different technical indicators, which can help you to evaluate volatility embedded in its price movement. Please confirm ADB's market risk adjusted performance of 0.3921, and Variance of 5.84 to double-check the risk estimate we provide. The crypto owns a Beta (Systematic Risk) of -0.45, which signifies possible diversification benefits within a given portfolio. As returns on the market increase, returns on owning ADB are expected to decrease at a much lower rate. During the bear market, ADB is likely to outperform the market.
Auto-correlation | 0.20 |
Weak predictability
ADB has weak predictability. Overlapping area represents the amount of predictability between ADB time series from 31st of January 2025 to 15th of February 2025 and 15th of February 2025 to 2nd 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 ADB price movement. The serial correlation of 0.2 indicates that over 20.0% of current ADB price fluctuation can be explain by its past prices.
| Correlation Coefficient | 0.2 | |
| Spearman Rank Test | -0.12 | |
| Residual Average | 0.0 | |
| Price Variance | 0.0 |
ADB lagged returns against current returns
Autocorrelation, which is ADB 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 ADB's crypto coin expected returns. We can calculate the autocorrelation of ADB returns to help us make a trade decision. For example, suppose you find that ADB 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 |
ADB 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 ADB crypto coin is displaying a positive serial correlation, investors will expect a positive pattern to continue. However, if ADB crypto coin is observed to have a negative serial correlation, investors will generally project negative sentiment on having a locked-in long position in ADB crypto coin over time.
Current vs Lagged Prices |
| Timeline |
ADB Lagged Returns
When evaluating ADB's market value, investors can use the concept of autocorrelation to see how much of an impact past prices of ADB crypto coin have on its future price. ADB 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, ADB autocorrelation shows the relationship between ADB crypto coin current value and its past values and can show if there is a momentum factor associated with investing in ADB.
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 ADB offers a strong return on investment in its stock, a comprehensive analysis is essential. The process typically begins with a thorough review of ADB'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 Adb Crypto.Check out ADB Correlation, ADB Volatility and Investing Opportunities module to complement your research on ADB. You can also try the Portfolio Volatility module to check portfolio volatility and analyze historical return density to properly model market risk.
ADB 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.