MCO Market Value
| MCO Crypto | USD 0.84 0.01 1.18% |
| Symbol | MCO |
MCO '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 MCO'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 MCO.
| 01/27/2025 |
| 02/26/2025 |
If you would invest 0.00 in MCO on January 27, 2025 and sell it all today you would earn a total of 0.00 from holding MCO or generate 0.0% return on investment in MCO over 30 days. MCO is related to or competes with Staked Ether, Phala Network, EigenLayer, Morpho, Tokocrypto, and DIA. MCO is peer-to-peer digital currency powered by the Blockchain technology.
MCO 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 MCO'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 MCO upside and downside potential and time the market with a certain degree of confidence.
| Downside Deviation | 1.23 | |||
| Information Ratio | (0.02) | |||
| Maximum Drawdown | 2.37 | |||
| Value At Risk | (1.18) | |||
| Potential Upside | 1.19 |
MCO Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for MCO's investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as MCO's standard deviation. In reality, there are many statistical measures that can use MCO historical prices to predict the future MCO's volatility.| Risk Adjusted Performance | 0.0018 | |||
| Jensen Alpha | (0.01) | |||
| Total Risk Alpha | (0.01) | |||
| Sortino Ratio | (0.01) | |||
| Treynor Ratio | 0.117 |
MCO Backtested Returns
MCO has Sharpe Ratio of -0.0239, which conveys that digital coin had a -0.0239 % return per unit of volatility over the last 3 months. MCO exposes twenty-eight different technical indicators, which can help you to evaluate volatility embedded in its price movement. Please verify MCO's Market Risk Adjusted Performance of 0.127, downside deviation of 1.23, and Mean Deviation of 0.396 to check out the risk estimate we provide. The entity secures a Beta (Market Risk) of -0.0655, which conveys not very significant fluctuations relative to the market. As returns on the market increase, returns on owning MCO are expected to decrease at a much lower rate. During the bear market, MCO is likely to outperform the market.
Auto-correlation | -0.04 |
Very weak reverse predictability
MCO has very weak reverse predictability. Overlapping area represents the amount of predictability between MCO time series from 27th of January 2025 to 11th of February 2025 and 11th of February 2025 to 26th of February 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 MCO price movement. The serial correlation of -0.04 indicates that only as little as 4.0% of current MCO price fluctuation can be explain by its past prices.
| Correlation Coefficient | -0.04 | |
| Spearman Rank Test | 0.04 | |
| Residual Average | 0.0 | |
| Price Variance | 0.0 |
MCO lagged returns against current returns
Autocorrelation, which is MCO 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 MCO's crypto coin expected returns. We can calculate the autocorrelation of MCO returns to help us make a trade decision. For example, suppose you find that MCO 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 |
MCO 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 MCO crypto coin is displaying a positive serial correlation, investors will expect a positive pattern to continue. However, if MCO crypto coin is observed to have a negative serial correlation, investors will generally project negative sentiment on having a locked-in long position in MCO crypto coin over time.
Current vs Lagged Prices |
| Timeline |
MCO Lagged Returns
When evaluating MCO's market value, investors can use the concept of autocorrelation to see how much of an impact past prices of MCO crypto coin have on its future price. MCO 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, MCO autocorrelation shows the relationship between MCO crypto coin current value and its past values and can show if there is a momentum factor associated with investing in MCO.
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 MCO offers a strong return on investment in its stock, a comprehensive analysis is essential. The process typically begins with a thorough review of MCO'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 Mco Crypto.Check out MCO Correlation, MCO Volatility and Investing Opportunities module to complement your research on MCO. You can also try the Positions Ratings module to determine portfolio positions ratings based on digital equity recommendations. Macroaxis instant position ratings are based on combination of fundamental analysis and risk-adjusted market performance.
MCO 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.