ENG Market Value
| ENG Crypto | USD 0.0004 0 89.78% |
| Symbol | ENG |
ENG '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 ENG'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 ENG.
| 06/03/2024 |
| 11/30/2024 |
If you would invest 0.00 in ENG on June 3, 2024 and sell it all today you would earn a total of 0.00 from holding ENG or generate 0.0% return on investment in ENG over 180 days. ENG is related to or competes with XRP, Solana, Staked Ether, Sui, Toncoin, Worldcoin, and Stellar. ENG is peer-to-peer digital currency powered by the Blockchain technology.
ENG 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 ENG'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 ENG upside and downside potential and time the market with a certain degree of confidence.
| Information Ratio | (0.03) | |||
| Maximum Drawdown | 125.43 | |||
| Value At Risk | (15.56) | |||
| Potential Upside | 16.33 |
ENG Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for ENG's investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as ENG's standard deviation. In reality, there are many statistical measures that can use ENG historical prices to predict the future ENG's volatility.| Risk Adjusted Performance | (0.01) | |||
| Jensen Alpha | (0.62) | |||
| Total Risk Alpha | (2.76) | |||
| Treynor Ratio | (0.19) |
ENG Backtested Returns
ENG secures Sharpe Ratio (or Efficiency) of -0.0772, which denotes digital coin had a -0.0772% return per unit of return volatility over the last 3 months. ENG exposes twenty-three different technical indicators, which can help you to evaluate volatility embedded in its price movement. Please confirm ENG's mean deviation of 8.04, and Standard Deviation of 14.35 to check the risk estimate we provide. The crypto shows a Beta (market volatility) of 1.99, which means 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, ENG will likely underperform.
Auto-correlation | 0.06 |
Virtually no predictability
ENG has virtually no predictability. Overlapping area represents the amount of predictability between ENG time series from 3rd of June 2024 to 1st of September 2024 and 1st of September 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 ENG price movement. The serial correlation of 0.06 indicates that barely 6.0% of current ENG price fluctuation can be explain by its past prices.
| Correlation Coefficient | 0.06 | |
| Spearman Rank Test | -0.12 | |
| Residual Average | 0.0 | |
| Price Variance | 0.0 |
ENG lagged returns against current returns
Autocorrelation, which is ENG 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 ENG's crypto coin expected returns. We can calculate the autocorrelation of ENG returns to help us make a trade decision. For example, suppose you find that ENG 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 |
ENG 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 ENG crypto coin is displaying a positive serial correlation, investors will expect a positive pattern to continue. However, if ENG crypto coin is observed to have a negative serial correlation, investors will generally project negative sentiment on having a locked-in long position in ENG crypto coin over time.
Current vs Lagged Prices |
| Timeline |
ENG Lagged Returns
When evaluating ENG's market value, investors can use the concept of autocorrelation to see how much of an impact past prices of ENG crypto coin have on its future price. ENG 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, ENG autocorrelation shows the relationship between ENG crypto coin current value and its past values and can show if there is a momentum factor associated with investing in ENG.
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 ENG offers a strong return on investment in its stock, a comprehensive analysis is essential. The process typically begins with a thorough review of ENG'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 Eng Crypto.Check out ENG Correlation, ENG Volatility and Investing Opportunities module to complement your research on ENG. You can also try the Economic Indicators module to top statistical indicators that provide insights into how an economy is performing.
ENG 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.