Orca Market Value
| ORCA Crypto | USD 3.44 0.02 0.58% |
| Symbol | Orca |
Orca '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 Orca'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 Orca.
| 10/29/2024 |
| 11/28/2024 |
If you would invest 0.00 in Orca on October 29, 2024 and sell it all today you would earn a total of 0.00 from holding Orca or generate 0.0% return on investment in Orca over 30 days. Orca is related to or competes with Staked Ether, EigenLayer, BLZ, Highstreet, Tokocrypto, and DIA. Orca is peer-to-peer digital currency powered by the Blockchain technology.
Orca 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 Orca'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 Orca upside and downside potential and time the market with a certain degree of confidence.
| Downside Deviation | 4.67 | |||
| Information Ratio | 0.119 | |||
| Maximum Drawdown | 31.6 | |||
| Value At Risk | (7.45) | |||
| Potential Upside | 12.88 |
Orca Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for Orca's investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as Orca's standard deviation. In reality, there are many statistical measures that can use Orca historical prices to predict the future Orca's volatility.| Risk Adjusted Performance | 0.1159 | |||
| Jensen Alpha | 0.6907 | |||
| Total Risk Alpha | (0.12) | |||
| Sortino Ratio | 0.1576 | |||
| Treynor Ratio | 0.624 |
Orca Backtested Returns
Orca is unusually volatile given 3 months investment horizon. Orca maintains Sharpe Ratio (i.e., Efficiency) of 0.17, which implies digital coin had a 0.17% return per unit of risk over the last 3 months. We were able to break down twenty-nine different technical indicators, which can help you to evaluate if expected returns of 1.05% are justified by taking the suggested risk. Use Orca Risk Adjusted Performance of 0.1159, coefficient of variation of 713.54, and Semi Deviation of 3.98 to evaluate coin specific risk that cannot be diversified away. The crypto holds a Beta of 1.37, which implies 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, Orca will likely underperform.
Auto-correlation | 0.11 |
Insignificant predictability
Orca has insignificant predictability. Overlapping area represents the amount of predictability between Orca 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 Orca price movement. The serial correlation of 0.11 indicates that less than 11.0% of current Orca price fluctuation can be explain by its past prices.
| Correlation Coefficient | 0.11 | |
| Spearman Rank Test | 0.28 | |
| Residual Average | 0.0 | |
| Price Variance | 0.02 |
Orca lagged returns against current returns
Autocorrelation, which is Orca 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 Orca's crypto coin expected returns. We can calculate the autocorrelation of Orca returns to help us make a trade decision. For example, suppose you find that Orca 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 |
Orca 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 Orca crypto coin is displaying a positive serial correlation, investors will expect a positive pattern to continue. However, if Orca crypto coin is observed to have a negative serial correlation, investors will generally project negative sentiment on having a locked-in long position in Orca crypto coin over time.
Current vs Lagged Prices |
| Timeline |
Orca Lagged Returns
When evaluating Orca's market value, investors can use the concept of autocorrelation to see how much of an impact past prices of Orca crypto coin have on its future price. Orca 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, Orca autocorrelation shows the relationship between Orca crypto coin current value and its past values and can show if there is a momentum factor associated with investing in Orca.
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 Orca offers a strong return on investment in its stock, a comprehensive analysis is essential. The process typically begins with a thorough review of Orca'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 Orca Crypto.Check out Orca Correlation, Orca Volatility and Investing Opportunities module to complement your research on Orca. You can also try the ETF Categories module to list of ETF categories grouped based on various criteria, such as the investment strategy or type of investments.
Orca 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.