EXP Market Value
| EXP Crypto | USD 0.0004 0.000001 0.28% |
| Symbol | EXP |
EXP '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 EXP'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 EXP.
| 10/28/2024 |
| 02/25/2025 |
If you would invest 0.00 in EXP on October 28, 2024 and sell it all today you would earn a total of 0.00 from holding EXP or generate 0.0% return on investment in EXP over 120 days. EXP is related to or competes with Staked Ether, Phala Network, EigenLayer, Morpho, Tokocrypto, and DIA. EXP is peer-to-peer digital currency powered by the Blockchain technology.
EXP 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 EXP'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 EXP upside and downside potential and time the market with a certain degree of confidence.
| Information Ratio | (0.02) | |||
| Maximum Drawdown | 10.33 | |||
| Value At Risk | (3.34) | |||
| Potential Upside | 4.0 |
EXP Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for EXP's investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as EXP's standard deviation. In reality, there are many statistical measures that can use EXP historical prices to predict the future EXP's volatility.| Risk Adjusted Performance | (0.01) | |||
| Jensen Alpha | (0.04) | |||
| Total Risk Alpha | (0.06) | |||
| Treynor Ratio | 0.4901 |
EXP Backtested Returns
EXP secures Sharpe Ratio (or Efficiency) of -0.0159, which denotes digital coin had a -0.0159 % return per unit of risk over the last 3 months. EXP exposes twenty-one different technical indicators, which can help you to evaluate volatility embedded in its price movement. Please confirm EXP's Mean Deviation of 1.7, standard deviation of 2.21, and Coefficient Of Variation of (6,280) to check the risk estimate we provide. The crypto shows a Beta (market volatility) of -0.0921, which means not very significant fluctuations relative to the market. As returns on the market increase, returns on owning EXP are expected to decrease at a much lower rate. During the bear market, EXP is likely to outperform the market.
Auto-correlation | 0.22 |
Weak predictability
EXP has weak predictability. Overlapping area represents the amount of predictability between EXP time series from 28th of October 2024 to 27th of December 2024 and 27th of December 2024 to 25th of February 2025. The more autocorrelation exist between current time interval and its lagged values, the more accurately you can make projection about the future pattern of EXP price movement. The serial correlation of 0.22 indicates that over 22.0% of current EXP price fluctuation can be explain by its past prices.
| Correlation Coefficient | 0.22 | |
| Spearman Rank Test | 0.02 | |
| Residual Average | 0.0 | |
| Price Variance | 0.0 |
EXP lagged returns against current returns
Autocorrelation, which is EXP 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 EXP's crypto coin expected returns. We can calculate the autocorrelation of EXP returns to help us make a trade decision. For example, suppose you find that EXP 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 |
EXP 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 EXP crypto coin is displaying a positive serial correlation, investors will expect a positive pattern to continue. However, if EXP crypto coin is observed to have a negative serial correlation, investors will generally project negative sentiment on having a locked-in long position in EXP crypto coin over time.
Current vs Lagged Prices |
| Timeline |
EXP Lagged Returns
When evaluating EXP's market value, investors can use the concept of autocorrelation to see how much of an impact past prices of EXP crypto coin have on its future price. EXP 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, EXP autocorrelation shows the relationship between EXP crypto coin current value and its past values and can show if there is a momentum factor associated with investing in EXP.
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 EXP offers a strong return on investment in its stock, a comprehensive analysis is essential. The process typically begins with a thorough review of EXP'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 Exp Crypto.Check out EXP Correlation, EXP Volatility and Investing Opportunities module to complement your research on EXP. You can also try the Pattern Recognition module to use different Pattern Recognition models to time the market across multiple global exchanges.
EXP 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.