MLN Market Value
| MLN Crypto | USD 18.49 0.25 1.37% |
| Symbol | MLN |
MLN '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 MLN'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 MLN.
| 09/01/2024 |
| 11/30/2024 |
If you would invest 0.00 in MLN on September 1, 2024 and sell it all today you would earn a total of 0.00 from holding MLN or generate 0.0% return on investment in MLN over 90 days. MLN is related to or competes with Staked Ether, EigenLayer, BLZ, Highstreet, Tokocrypto, and DIA. MLN is peer-to-peer digital currency powered by the Blockchain technology.
MLN 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 MLN'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 MLN upside and downside potential and time the market with a certain degree of confidence.
| Downside Deviation | 3.42 | |||
| Information Ratio | 0.059 | |||
| Maximum Drawdown | 16.71 | |||
| Value At Risk | (5.77) | |||
| Potential Upside | 8.21 |
MLN Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for MLN's investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as MLN's standard deviation. In reality, there are many statistical measures that can use MLN historical prices to predict the future MLN's volatility.| Risk Adjusted Performance | 0.082 | |||
| Jensen Alpha | 0.354 | |||
| Total Risk Alpha | (0.26) | |||
| Sortino Ratio | 0.0627 | |||
| Treynor Ratio | (3.64) |
MLN Backtested Returns
MLN appears to be very volatile, given 3 months investment horizon. MLN has Sharpe Ratio of 0.11, which conveys that digital coin had a 0.11% return per unit of volatility over the last 3 months. We have found twenty-nine technical indicators for MLN, which you can use to evaluate the volatility of coin. Please exercise MLN's mean deviation of 2.64, and Risk Adjusted Performance of 0.082 to check out if our risk estimates are consistent with your expectations. The crypto secures a Beta (Market Risk) of -0.0939, which conveys not very significant fluctuations relative to the market. As returns on the market increase, returns on owning MLN are expected to decrease at a much lower rate. During the bear market, MLN is likely to outperform the market.
Auto-correlation | 0.23 |
Weak predictability
MLN has weak predictability. Overlapping area represents the amount of predictability between MLN 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 MLN price movement. The serial correlation of 0.23 indicates that over 23.0% of current MLN price fluctuation can be explain by its past prices.
| Correlation Coefficient | 0.23 | |
| Spearman Rank Test | 0.18 | |
| Residual Average | 0.0 | |
| Price Variance | 0.96 |
MLN lagged returns against current returns
Autocorrelation, which is MLN 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 MLN's crypto coin expected returns. We can calculate the autocorrelation of MLN returns to help us make a trade decision. For example, suppose you find that MLN 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 |
MLN 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 MLN crypto coin is displaying a positive serial correlation, investors will expect a positive pattern to continue. However, if MLN crypto coin is observed to have a negative serial correlation, investors will generally project negative sentiment on having a locked-in long position in MLN crypto coin over time.
Current vs Lagged Prices |
| Timeline |
MLN Lagged Returns
When evaluating MLN's market value, investors can use the concept of autocorrelation to see how much of an impact past prices of MLN crypto coin have on its future price. MLN 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, MLN autocorrelation shows the relationship between MLN crypto coin current value and its past values and can show if there is a momentum factor associated with investing in MLN.
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 MLN offers a strong return on investment in its stock, a comprehensive analysis is essential. The process typically begins with a thorough review of MLN'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 Mln Crypto.Check out MLN Correlation, MLN Volatility and Investing Opportunities module to complement your research on MLN. You can also try the Portfolio Backtesting module to avoid under-diversification and over-optimization by backtesting your portfolios.
MLN 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.