Compound Technical Analysis
| COMP Crypto | USD 17.32 0.31 1.76% |
As of the 7th of February, Compound shows the Mean Deviation of 3.25, risk adjusted performance of (0.16), and Standard Deviation of 4.6. Compound technical analysis gives you the methodology to make use of historical prices and volume patterns to determine a pattern that approximates the direction of the entity's future prices.
Compound Momentum Analysis
Momentum indicators are widely used technical indicators which help to measure the pace at which the price of specific equity, such as Compound, fluctuates. Many momentum indicators also complement each other and can be helpful when the market is rising or falling as compared to CompoundCompound |
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.
| 11/09/2025 |
| 02/07/2026 |
If you would invest 0.00 in Compound on November 9, 2025 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, 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 | (0.22) | |||
| Maximum Drawdown | 28.42 | |||
| Value At Risk | (10.06) | |||
| Potential Upside | 4.75 |
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 | (0.16) | |||
| Jensen Alpha | (0.94) | |||
| Total Risk Alpha | (1.41) | |||
| Treynor Ratio | 5.82 |
Compound February 7, 2026 Technical Indicators
| Cycle Indicators | ||
| Math Operators | ||
| Math Transform | ||
| Momentum Indicators | ||
| Overlap Studies | ||
| Pattern Recognition | ||
| Price Transform | ||
| Statistic Functions | ||
| Volatility Indicators | ||
| Volume Indicators |
| Risk Adjusted Performance | (0.16) | |||
| Market Risk Adjusted Performance | 5.83 | |||
| Mean Deviation | 3.25 | |||
| Coefficient Of Variation | (487.36) | |||
| Standard Deviation | 4.6 | |||
| Variance | 21.13 | |||
| Information Ratio | (0.22) | |||
| Jensen Alpha | (0.94) | |||
| Total Risk Alpha | (1.41) | |||
| Treynor Ratio | 5.82 | |||
| Maximum Drawdown | 28.42 | |||
| Value At Risk | (10.06) | |||
| Potential Upside | 4.75 | |||
| Skewness | (0.24) | |||
| Kurtosis | 2.29 |
Compound Backtested Returns
Compound secures Sharpe Ratio (or Efficiency) of -0.19, which signifies that digital coin had a -0.19 % 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 Standard Deviation of 4.6, risk adjusted performance of (0.16), and Mean Deviation of 3.25 to double-check the risk estimate we provide. The crypto shows a Beta (market volatility) of -0.16, which signifies not very significant fluctuations relative to the market. As returns on the market increase, returns on owning Compound are expected to decrease at a much lower rate. During the bear market, Compound is likely to outperform the market.
Auto-correlation | 0.80 |
Very good predictability
Compound has very good predictability. Overlapping area represents the amount of predictability between Compound time series from 9th of November 2025 to 24th of December 2025 and 24th of December 2025 to 7th of February 2026. 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 0.8 indicates that around 80.0% of current Compound price fluctuation can be explain by its past prices.
| Correlation Coefficient | 0.8 | |
| Spearman Rank Test | 0.39 | |
| Residual Average | 0.0 | |
| Price Variance | 10.03 |
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.
Compound Technical Analysis
The output start index for this execution was fifty with a total number of output elements of eleven. The Average True Range was developed by J. Welles Wilder in 1970s. It is one of components of the Welles Wilder Directional Movement indicators. The ATR is a measure of Compound volatility. High ATR values indicate high volatility, and low values indicate low volatility.
About Compound Technical Analysis
The technical analysis module can be used to analyzes prices, returns, volume, basic money flow, and other market information and help investors to determine the real value of Compound on a daily or weekly bases. We use both bottom-up as well as top-down valuation methodologies to arrive at the intrinsic value of Compound based on its technical analysis. In general, a bottom-up approach, as applied to this cryptocurrency, focuses on Compound price pattern first instead of the macroeconomic environment surrounding Compound. By analyzing daily price indicators and various types of growth rates, we attempt to find the most accurate representation of Compound's intrinsic value. As compared to a bottom-up approach, our top-down model examines the macroeconomic factors that affect the crypto market before zooming in to Compound specific price patterns or momentum indicators.
Compound February 7, 2026 Technical Indicators
Most technical analysis of Compound help investors determine whether a current trend will continue and, if not, when it will shift. We provide a combination of tools to recognize potential entry and exit points for Compound from various momentum indicators to cycle indicators. When you analyze Compound charts, please remember that the event formation may indicate an entry point for a short seller, and look at different other indicators across different periods to confirm that a breakdown or reversion is likely to occur.
| Cycle Indicators | ||
| Math Operators | ||
| Math Transform | ||
| Momentum Indicators | ||
| Overlap Studies | ||
| Pattern Recognition | ||
| Price Transform | ||
| Statistic Functions | ||
| Volatility Indicators | ||
| Volume Indicators |
| Risk Adjusted Performance | (0.16) | |||
| Market Risk Adjusted Performance | 5.83 | |||
| Mean Deviation | 3.25 | |||
| Coefficient Of Variation | (487.36) | |||
| Standard Deviation | 4.6 | |||
| Variance | 21.13 | |||
| Information Ratio | (0.22) | |||
| Jensen Alpha | (0.94) | |||
| Total Risk Alpha | (1.41) | |||
| Treynor Ratio | 5.82 | |||
| Maximum Drawdown | 28.42 | |||
| Value At Risk | (10.06) | |||
| Potential Upside | 4.75 | |||
| Skewness | (0.24) | |||
| Kurtosis | 2.29 |
Compound February 7, 2026 Daily Trend Indicators
Traders often use several different daily volumes and price technical indicators to supplement a more traditional technical analysis when analyzing securities such as Compound stock. With literally thousands of different options, investors must choose the best indicators for them and familiarize themselves with how they work. We suggest combining traditional momentum indicators with more near-term forms of technical analysis such as Accumulation Distribution or Daily Balance Of Power. With their quantitative nature, daily value technical indicators can also be incorporated into your automated trading systems.
| Accumulation Distribution | 277.55 | ||
| Daily Balance Of Power | (0.91) | ||
| Rate Of Daily Change | 0.98 | ||
| Day Median Price | 17.46 | ||
| Day Typical Price | 17.41 | ||
| Price Action Indicator | (0.29) |
Check out Trending Equities to better understand how to build diversified portfolios, which includes a position in Compound. Also, note that the market value of any cryptocurrency could be closely tied with the direction of predictive economic indicators such as signals in state. You can also try the Stock Tickers module to use high-impact, comprehensive, and customizable stock tickers that can be easily integrated to any websites.