MTA Market Value
| MTA Crypto | USD 0.03 0.01 63.32% |
| Symbol | MTA |
MTA '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 MTA'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 MTA.
| 10/29/2024 |
| 11/28/2024 |
If you would invest 0.00 in MTA on October 29, 2024 and sell it all today you would earn a total of 0.00 from holding MTA or generate 0.0% return on investment in MTA over 30 days. MTA is related to or competes with XRP, Solana, Staked Ether, Sui, Toncoin, Stellar, and Worldcoin. MTA is peer-to-peer digital currency powered by the Blockchain technology.
MTA 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 MTA'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 MTA upside and downside potential and time the market with a certain degree of confidence.
| Downside Deviation | 23.77 | |||
| Information Ratio | 0.1193 | |||
| Maximum Drawdown | 108.26 | |||
| Value At Risk | (36.62) | |||
| Potential Upside | 57.79 |
MTA Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for MTA's investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as MTA's standard deviation. In reality, there are many statistical measures that can use MTA historical prices to predict the future MTA's volatility.| Risk Adjusted Performance | 0.1047 | |||
| Jensen Alpha | 3.99 | |||
| Total Risk Alpha | (0.71) | |||
| Sortino Ratio | 0.1324 | |||
| Treynor Ratio | (0.52) |
MTA Backtested Returns
MTA is abnormally risky given 3 months investment horizon. MTA retains Efficiency (Sharpe Ratio) of 0.15, which conveys that digital coin had a 0.15% return per unit of return volatility over the last 3 months. We were able to analyze twenty-nine different technical indicators, which can help you to evaluate if expected returns of 3.85% are justified by taking the suggested risk. Use MTA Downside Deviation of 23.77, mean deviation of 17.0, and Market Risk Adjusted Performance of (0.51) to evaluate coin specific risk that cannot be diversified away. The crypto owns a Beta (Systematic Risk) of -6.27, which conveys a somewhat significant risk relative to the market. As returns on the market increase, returns on owning MTA are expected to decrease by larger amounts. On the other hand, during market turmoil, MTA is expected to outperform it.
Auto-correlation | -0.54 |
Good reverse predictability
MTA has good reverse predictability. Overlapping area represents the amount of predictability between MTA time series from 29th of October 2024 to 13th of November 2024 and 13th of November 2024 to 28th 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 MTA price movement. The serial correlation of -0.54 indicates that about 54.0% of current MTA price fluctuation can be explain by its past prices.
| Correlation Coefficient | -0.54 | |
| Spearman Rank Test | -0.45 | |
| Residual Average | 0.0 | |
| Price Variance | 0.0 |
MTA lagged returns against current returns
Autocorrelation, which is MTA 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 MTA's crypto coin expected returns. We can calculate the autocorrelation of MTA returns to help us make a trade decision. For example, suppose you find that MTA 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 |
MTA 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 MTA crypto coin is displaying a positive serial correlation, investors will expect a positive pattern to continue. However, if MTA crypto coin is observed to have a negative serial correlation, investors will generally project negative sentiment on having a locked-in long position in MTA crypto coin over time.
Current vs Lagged Prices |
| Timeline |
MTA Lagged Returns
When evaluating MTA's market value, investors can use the concept of autocorrelation to see how much of an impact past prices of MTA crypto coin have on its future price. MTA 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, MTA autocorrelation shows the relationship between MTA crypto coin current value and its past values and can show if there is a momentum factor associated with investing in MTA.
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 MTA offers a strong return on investment in its stock, a comprehensive analysis is essential. The process typically begins with a thorough review of MTA'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 Mta Crypto.Check out MTA Correlation, MTA Volatility and Investing Opportunities module to complement your research on MTA. You can also try the Portfolio Diagnostics module to use generated alerts and portfolio events aggregator to diagnose current holdings.
MTA 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.