MOC Market Value
| MOC Crypto | USD 0.11 0.01 8.33% |
| Symbol | MOC |
MOC '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 MOC'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 MOC.
| 09/01/2024 |
| 11/30/2024 |
If you would invest 0.00 in MOC on September 1, 2024 and sell it all today you would earn a total of 0.00 from holding MOC or generate 0.0% return on investment in MOC over 90 days. MOC is related to or competes with Staked Ether, EigenLayer, BLZ, Highstreet, Tokocrypto, and DIA. MOC is peer-to-peer digital currency powered by the Blockchain technology.
MOC 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 MOC'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 MOC upside and downside potential and time the market with a certain degree of confidence.
| Downside Deviation | 4.74 | |||
| Information Ratio | 0.1722 | |||
| Maximum Drawdown | 36.24 | |||
| Value At Risk | (7.27) | |||
| Potential Upside | 11.83 |
MOC Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for MOC's investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as MOC's standard deviation. In reality, there are many statistical measures that can use MOC historical prices to predict the future MOC's volatility.| Risk Adjusted Performance | 0.156 | |||
| Jensen Alpha | 1.03 | |||
| Total Risk Alpha | 0.1631 | |||
| Sortino Ratio | 0.2453 | |||
| Treynor Ratio | 0.6365 |
MOC Backtested Returns
MOC is unusually volatile given 3 months investment horizon. MOC retains Efficiency (Sharpe Ratio) of 0.21, which conveys that digital coin had a 0.21% return per unit of risk over the last 3 months. We were able to break down twenty-nine different technical indicators, which can help you to evaluate if expected returns of 1.41% are justified by taking the suggested risk. Use MOC Mean Deviation of 4.54, semi deviation of 3.59, and Market Risk Adjusted Performance of 0.6465 to evaluate coin specific risk that cannot be diversified away. The crypto owns a Beta (Systematic Risk) of 2.03, which conveys a somewhat significant risk relative to the market. As the market goes up, the company is expected to outperform it. However, if the market returns are negative, MOC will likely underperform.
Auto-correlation | 0.56 |
Modest predictability
MOC has modest predictability. Overlapping area represents the amount of predictability between MOC 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 MOC price movement. The serial correlation of 0.56 indicates that roughly 56.0% of current MOC price fluctuation can be explain by its past prices.
| Correlation Coefficient | 0.56 | |
| Spearman Rank Test | 0.57 | |
| Residual Average | 0.0 | |
| Price Variance | 0.0 |
MOC lagged returns against current returns
Autocorrelation, which is MOC 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 MOC's crypto coin expected returns. We can calculate the autocorrelation of MOC returns to help us make a trade decision. For example, suppose you find that MOC 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 |
MOC 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 MOC crypto coin is displaying a positive serial correlation, investors will expect a positive pattern to continue. However, if MOC crypto coin is observed to have a negative serial correlation, investors will generally project negative sentiment on having a locked-in long position in MOC crypto coin over time.
Current vs Lagged Prices |
| Timeline |
MOC Lagged Returns
When evaluating MOC's market value, investors can use the concept of autocorrelation to see how much of an impact past prices of MOC crypto coin have on its future price. MOC 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, MOC autocorrelation shows the relationship between MOC crypto coin current value and its past values and can show if there is a momentum factor associated with investing in MOC.
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 MOC offers a strong return on investment in its stock, a comprehensive analysis is essential. The process typically begins with a thorough review of MOC'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 Moc Crypto.Check out MOC Correlation, MOC Volatility and Investing Opportunities module to complement your research on MOC. You can also try the Money Managers module to screen money managers from public funds and ETFs managed around the world.
MOC 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.