MOF Market Value
| MOF Crypto | USD 0.000002 0.00 0.00% |
| Symbol | MOF |
MOF '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 MOF'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 MOF.
| 12/17/2024 |
| 03/17/2025 |
If you would invest 0.00 in MOF on December 17, 2024 and sell it all today you would earn a total of 0.00 from holding MOF or generate 0.0% return on investment in MOF over 90 days. MOF is related to or competes with Staked Ether, Phala Network, EigenLayer, Morpho, and DIA. MOF is peer-to-peer digital currency powered by the Blockchain technology.
MOF 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 MOF'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 MOF upside and downside potential and time the market with a certain degree of confidence.
MOF Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for MOF's investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as MOF's standard deviation. In reality, there are many statistical measures that can use MOF historical prices to predict the future MOF's volatility.MOF Backtested Returns
We have found one technical indicators for MOF, which you can use to evaluate the volatility of coin. The crypto secures a Beta (Market Risk) of 0.0, which conveys not very significant fluctuations relative to the market. the returns on MARKET and MOF are completely uncorrelated.
Auto-correlation | 0.00 |
No correlation between past and present
MOF has no correlation between past and present. Overlapping area represents the amount of predictability between MOF time series from 17th of December 2024 to 31st of January 2025 and 31st of January 2025 to 17th 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 MOF price movement. The serial correlation of 0.0 indicates that just 0.0% of current MOF price fluctuation can be explain by its past prices.
| Correlation Coefficient | 0.0 | |
| Spearman Rank Test | 1.0 | |
| Residual Average | 0.0 | |
| Price Variance | 0.0 |
MOF lagged returns against current returns
Autocorrelation, which is MOF 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 MOF's crypto coin expected returns. We can calculate the autocorrelation of MOF returns to help us make a trade decision. For example, suppose you find that MOF 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 |
MOF 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 MOF crypto coin is displaying a positive serial correlation, investors will expect a positive pattern to continue. However, if MOF crypto coin is observed to have a negative serial correlation, investors will generally project negative sentiment on having a locked-in long position in MOF crypto coin over time.
Current vs Lagged Prices |
| Timeline |
MOF Lagged Returns
When evaluating MOF's market value, investors can use the concept of autocorrelation to see how much of an impact past prices of MOF crypto coin have on its future price. MOF 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, MOF autocorrelation shows the relationship between MOF crypto coin current value and its past values and can show if there is a momentum factor associated with investing in MOF.
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 MOF offers a strong return on investment in its stock, a comprehensive analysis is essential. The process typically begins with a thorough review of MOF'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 Mof Crypto.Check out MOF Correlation, MOF Volatility and Investing Opportunities module to complement your research on MOF. You can also try the Instant Ratings module to determine any equity ratings based on digital recommendations. Macroaxis instant equity ratings are based on combination of fundamental analysis and risk-adjusted market performance.
MOF 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.