AAC Market Value
| AAC Crypto | USD 0.0005 0.000001 0.20% |
| Symbol | AAC |
AAC '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 AAC'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 AAC.
| 09/01/2024 |
| 11/30/2024 |
If you would invest 0.00 in AAC on September 1, 2024 and sell it all today you would earn a total of 0.00 from holding AAC or generate 0.0% return on investment in AAC over 90 days. AAC is related to or competes with Staked Ether, EigenLayer, BLZ, Highstreet, Tokocrypto, and DIA. AAC is peer-to-peer digital currency powered by the Blockchain technology.
AAC 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 AAC'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 AAC upside and downside potential and time the market with a certain degree of confidence.
| Information Ratio | (1.31) | |||
| Maximum Drawdown | 0.3988 | |||
| Value At Risk | (0.20) | |||
| Potential Upside | 0.1992 |
AAC Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for AAC's investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as AAC's standard deviation. In reality, there are many statistical measures that can use AAC historical prices to predict the future AAC's volatility.| Risk Adjusted Performance | (0.08) | |||
| Total Risk Alpha | (0.03) |
AAC Backtested Returns
At this point, AAC is relatively risky. AAC retains Efficiency (Sharpe Ratio) of 5.0E-4, which signifies that digital coin had a 5.0E-4% return per unit of risk over the last 3 months. We have found eighteen technical indicators for AAC, which you can use to evaluate the volatility of coin. Please confirm AAC's mean deviation of 0.0594, and Information Ratio of (1.31) to double-check if the risk estimate we provide is consistent with the expected return of 1.0E-4%. The entity owns a Beta (Systematic Risk) of 0.0, which signifies not very significant fluctuations relative to the market. the returns on MARKET and AAC are completely uncorrelated.
Auto-correlation | 0.05 |
Virtually no predictability
AAC has virtually no predictability. Overlapping area represents the amount of predictability between AAC time series from 1st of September 2024 to 16th of October 2024 and 16th of October 2024 to 30th of November 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 AAC price movement. The serial correlation of 0.05 indicates that only as little as 5.0% of current AAC price fluctuation can be explain by its past prices.
| Correlation Coefficient | 0.05 | |
| Spearman Rank Test | 0.6 | |
| Residual Average | 0.0 | |
| Price Variance | 0.0 |
AAC lagged returns against current returns
Autocorrelation, which is AAC 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 AAC's crypto coin expected returns. We can calculate the autocorrelation of AAC returns to help us make a trade decision. For example, suppose you find that AAC 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 |
AAC 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 AAC crypto coin is displaying a positive serial correlation, investors will expect a positive pattern to continue. However, if AAC crypto coin is observed to have a negative serial correlation, investors will generally project negative sentiment on having a locked-in long position in AAC crypto coin over time.
Current vs Lagged Prices |
| Timeline |
AAC Lagged Returns
When evaluating AAC's market value, investors can use the concept of autocorrelation to see how much of an impact past prices of AAC crypto coin have on its future price. AAC 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, AAC autocorrelation shows the relationship between AAC crypto coin current value and its past values and can show if there is a momentum factor associated with investing in AAC.
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 AAC offers a strong return on investment in its stock, a comprehensive analysis is essential. The process typically begins with a thorough review of AAC'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 Aac Crypto.Check out AAC Correlation, AAC Volatility and Investing Opportunities module to complement your research on AAC. You can also try the Portfolio Rebalancing module to analyze risk-adjusted returns against different time horizons to find asset-allocation targets.
AAC 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.