LYM Market Value
| LYM Crypto | USD 0.0008 0.0001 18.10% |
| Symbol | LYM |
LYM '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 LYM'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 LYM.
| 10/29/2024 |
| 11/28/2024 |
If you would invest 0.00 in LYM on October 29, 2024 and sell it all today you would earn a total of 0.00 from holding LYM or generate 0.0% return on investment in LYM over 30 days. LYM is related to or competes with Staked Ether, EigenLayer, BLZ, Highstreet, Tokocrypto, and DIA. LYM is peer-to-peer digital currency powered by the Blockchain technology.
LYM 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 LYM'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 LYM upside and downside potential and time the market with a certain degree of confidence.
| Information Ratio | (0.13) | |||
| Maximum Drawdown | 60.15 | |||
| Value At Risk | (15.07) | |||
| Potential Upside | 14.36 |
LYM Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for LYM's investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as LYM's standard deviation. In reality, there are many statistical measures that can use LYM historical prices to predict the future LYM's volatility.| Risk Adjusted Performance | (0.08) | |||
| Jensen Alpha | (1.51) | |||
| Total Risk Alpha | (2.38) | |||
| Treynor Ratio | (0.23) |
LYM Backtested Returns
LYM has Sharpe Ratio of -0.0391, which conveys that digital coin had a -0.0391% return per unit of volatility over the last 3 months. LYM exposes twenty-two different technical indicators, which can help you to evaluate volatility embedded in its price movement. Please verify LYM's mean deviation of 5.37, and Risk Adjusted Performance of (0.08) to check out the risk estimate we provide. The crypto secures a Beta (Market Risk) of 4.29, 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, LYM will likely underperform.
Auto-correlation | 0.59 |
Modest predictability
LYM has modest predictability. Overlapping area represents the amount of predictability between LYM 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 LYM price movement. The serial correlation of 0.59 indicates that roughly 59.0% of current LYM price fluctuation can be explain by its past prices.
| Correlation Coefficient | 0.59 | |
| Spearman Rank Test | 0.2 | |
| Residual Average | 0.0 | |
| Price Variance | 0.0 |
LYM lagged returns against current returns
Autocorrelation, which is LYM 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 LYM's crypto coin expected returns. We can calculate the autocorrelation of LYM returns to help us make a trade decision. For example, suppose you find that LYM 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 |
LYM 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 LYM crypto coin is displaying a positive serial correlation, investors will expect a positive pattern to continue. However, if LYM crypto coin is observed to have a negative serial correlation, investors will generally project negative sentiment on having a locked-in long position in LYM crypto coin over time.
Current vs Lagged Prices |
| Timeline |
LYM Lagged Returns
When evaluating LYM's market value, investors can use the concept of autocorrelation to see how much of an impact past prices of LYM crypto coin have on its future price. LYM 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, LYM autocorrelation shows the relationship between LYM crypto coin current value and its past values and can show if there is a momentum factor associated with investing in LYM.
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 LYM offers a strong return on investment in its stock, a comprehensive analysis is essential. The process typically begins with a thorough review of LYM'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 Lym Crypto.Check out LYM Correlation, LYM Volatility and Investing Opportunities module to complement your research on LYM. You can also try the Funds Screener module to find actively-traded funds from around the world traded on over 30 global exchanges.
LYM 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.