ZIL Market Value
| ZIL Crypto | USD 0.01 0.0001 2.21% |
| Symbol | ZIL |
ZIL '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 ZIL'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 ZIL.
| 12/14/2025 |
| 01/13/2026 |
If you would invest 0.00 in ZIL on December 14, 2025 and sell it all today you would earn a total of 0.00 from holding ZIL or generate 0.0% return on investment in ZIL over 30 days. ZIL is related to or competes with Staked Ether, EigenLayer, Morpho, and DIA. ZIL is peer-to-peer digital currency powered by the Blockchain technology.
ZIL 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 ZIL'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 ZIL upside and downside potential and time the market with a certain degree of confidence.
| Information Ratio | (0.16) | |||
| Maximum Drawdown | 24.75 | |||
| Value At Risk | (6.62) | |||
| Potential Upside | 5.32 |
ZIL Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for ZIL's investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as ZIL's standard deviation. In reality, there are many statistical measures that can use ZIL historical prices to predict the future ZIL's volatility.| Risk Adjusted Performance | (0.09) | |||
| Jensen Alpha | (0.60) | |||
| Total Risk Alpha | (1.13) | |||
| Treynor Ratio | 5.5 |
ZIL Backtested Returns
ZIL shows Sharpe Ratio of -0.11, which attests that digital coin had a -0.11 % return per unit of standard deviation over the last 3 months. ZIL exposes twenty-two different technical indicators, which can help you to evaluate volatility embedded in its price movement. Please check out ZIL's Risk Adjusted Performance of (0.09), standard deviation of 4.46, and Mean Deviation of 3.4 to validate the risk estimate we provide. The entity maintains a market beta of -0.11, which attests to not very significant fluctuations relative to the market. As returns on the market increase, returns on owning ZIL are expected to decrease at a much lower rate. During the bear market, ZIL is likely to outperform the market.
Auto-correlation | 0.19 |
Very weak predictability
ZIL has very weak predictability. Overlapping area represents the amount of predictability between ZIL time series from 14th of December 2025 to 29th of December 2025 and 29th of December 2025 to 13th of January 2026. The more autocorrelation exist between current time interval and its lagged values, the more accurately you can make projection about the future pattern of ZIL price movement. The serial correlation of 0.19 indicates that over 19.0% of current ZIL price fluctuation can be explain by its past prices.
| Correlation Coefficient | 0.19 | |
| Spearman Rank Test | 0.56 | |
| Residual Average | 0.0 | |
| Price Variance | 0.0 |
ZIL lagged returns against current returns
Autocorrelation, which is ZIL 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 ZIL's crypto coin expected returns. We can calculate the autocorrelation of ZIL returns to help us make a trade decision. For example, suppose you find that ZIL 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 |
ZIL 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 ZIL crypto coin is displaying a positive serial correlation, investors will expect a positive pattern to continue. However, if ZIL crypto coin is observed to have a negative serial correlation, investors will generally project negative sentiment on having a locked-in long position in ZIL crypto coin over time.
Current vs Lagged Prices |
| Timeline |
ZIL Lagged Returns
When evaluating ZIL's market value, investors can use the concept of autocorrelation to see how much of an impact past prices of ZIL crypto coin have on its future price. ZIL 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, ZIL autocorrelation shows the relationship between ZIL crypto coin current value and its past values and can show if there is a momentum factor associated with investing in ZIL.
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 ZIL offers a strong return on investment in its stock, a comprehensive analysis is essential. The process typically begins with a thorough review of ZIL'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 Zil Crypto.Check out ZIL Correlation, ZIL Volatility and Investing Opportunities module to complement your research on ZIL. You can also try the Portfolio Optimization module to compute new portfolio that will generate highest expected return given your specified tolerance for risk.
ZIL 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.