Compound Market Value
| COMP Crypto | USD 42.33 0.47 1.12% |
| Symbol | Compound |
Compound '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 Compound'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 Compound.
| 12/12/2024 |
| 03/12/2025 |
If you would invest 0.00 in Compound on December 12, 2024 and sell it all today you would earn a total of 0.00 from holding Compound or generate 0.0% return on investment in Compound over 90 days. Compound is related to or competes with Staked Ether, Phala Network, EigenLayer, Morpho, and DIA. Compound is peer-to-peer digital currency powered by the Blockchain technology.
Compound 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 Compound'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 Compound upside and downside potential and time the market with a certain degree of confidence.
| Information Ratio | (0.15) | |||
| Maximum Drawdown | 28.68 | |||
| Value At Risk | (11.10) | |||
| Potential Upside | 8.98 |
Compound Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for Compound's investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as Compound's standard deviation. In reality, there are many statistical measures that can use Compound historical prices to predict the future Compound's volatility.| Risk Adjusted Performance | (0.14) | |||
| Jensen Alpha | (1.24) | |||
| Total Risk Alpha | (0.10) | |||
| Treynor Ratio | 1.09 |
Compound Backtested Returns
Compound secures Sharpe Ratio (or Efficiency) of -0.22, which signifies that digital coin had a -0.22 % return per unit of risk over the last 3 months. Compound exposes twenty-two different technical indicators, which can help you to evaluate volatility embedded in its price movement. Please confirm Compound's Risk Adjusted Performance of (0.14), standard deviation of 6.32, and Mean Deviation of 4.94 to double-check the risk estimate we provide. The crypto shows a Beta (market volatility) of -1.01, which signifies a somewhat significant risk relative to the market. As the market becomes more bullish, returns on owning Compound are expected to decrease slowly. On the other hand, during market turmoil, Compound is expected to outperform it slightly.
Auto-correlation | 0.67 |
Good predictability
Compound has good predictability. Overlapping area represents the amount of predictability between Compound time series from 12th of December 2024 to 26th of January 2025 and 26th of January 2025 to 12th 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 Compound price movement. The serial correlation of 0.67 indicates that around 67.0% of current Compound price fluctuation can be explain by its past prices.
| Correlation Coefficient | 0.67 | |
| Spearman Rank Test | 0.47 | |
| Residual Average | 0.0 | |
| Price Variance | 50.48 |
Compound lagged returns against current returns
Autocorrelation, which is Compound 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 Compound's crypto coin expected returns. We can calculate the autocorrelation of Compound returns to help us make a trade decision. For example, suppose you find that Compound 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 |
Compound 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 Compound crypto coin is displaying a positive serial correlation, investors will expect a positive pattern to continue. However, if Compound crypto coin is observed to have a negative serial correlation, investors will generally project negative sentiment on having a locked-in long position in Compound crypto coin over time.
Current vs Lagged Prices |
| Timeline |
Compound Lagged Returns
When evaluating Compound's market value, investors can use the concept of autocorrelation to see how much of an impact past prices of Compound crypto coin have on its future price. Compound 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, Compound autocorrelation shows the relationship between Compound crypto coin current value and its past values and can show if there is a momentum factor associated with investing in Compound.
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 Compound offers a strong return on investment in its stock, a comprehensive analysis is essential. The process typically begins with a thorough review of Compound'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 Compound Crypto.Check out Compound Correlation, Compound Volatility and Investing Opportunities module to complement your research on Compound. You can also try the Portfolio Backtesting module to avoid under-diversification and over-optimization by backtesting your portfolios.
Compound 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.