Ontology Market Value
| ONT Crypto | USD 0.27 0.01 3.85% |
| Symbol | Ontology |
Ontology '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 Ontology'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 Ontology.
| 10/29/2024 |
| 11/28/2024 |
If you would invest 0.00 in Ontology on October 29, 2024 and sell it all today you would earn a total of 0.00 from holding Ontology or generate 0.0% return on investment in Ontology over 30 days. Ontology is related to or competes with Ontology Gas, Staked Ether, EigenLayer, BLZ, Highstreet, Tokocrypto, and DIA. Ontology is peer-to-peer digital currency powered by the Blockchain technology.
Ontology 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 Ontology'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 Ontology upside and downside potential and time the market with a certain degree of confidence.
| Downside Deviation | 6.27 | |||
| Information Ratio | 0.128 | |||
| Maximum Drawdown | 21.05 | |||
| Value At Risk | (5.88) | |||
| Potential Upside | 10.53 |
Ontology Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for Ontology's investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as Ontology's standard deviation. In reality, there are many statistical measures that can use Ontology historical prices to predict the future Ontology's volatility.| Risk Adjusted Performance | 0.1263 | |||
| Jensen Alpha | 0.6905 | |||
| Total Risk Alpha | (0.03) | |||
| Sortino Ratio | 0.1014 | |||
| Treynor Ratio | 1.38 |
Ontology Backtested Returns
Ontology appears to be extremely risky, given 3 months investment horizon. Ontology maintains Sharpe Ratio (i.e., Efficiency) of 0.19, which implies digital coin had a 0.19% return per unit of risk over the last 3 months. By analyzing Ontology's technical indicators, you can evaluate if the expected return of 0.94% is justified by implied risk. Please evaluate Ontology's Coefficient Of Variation of 648.51, risk adjusted performance of 0.1263, and Semi Deviation of 3.6 to confirm if our risk estimates are consistent with your expectations. The crypto holds a Beta of 0.55, which implies possible diversification benefits within a given portfolio. As returns on the market increase, Ontology's returns are expected to increase less than the market. However, during the bear market, the loss of holding Ontology is expected to be smaller as well.
Auto-correlation | 0.77 |
Good predictability
Ontology has good predictability. Overlapping area represents the amount of predictability between Ontology 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 Ontology price movement. The serial correlation of 0.77 indicates that around 77.0% of current Ontology price fluctuation can be explain by its past prices.
| Correlation Coefficient | 0.77 | |
| Spearman Rank Test | 0.92 | |
| Residual Average | 0.0 | |
| Price Variance | 0.0 |
Ontology lagged returns against current returns
Autocorrelation, which is Ontology 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 Ontology's crypto coin expected returns. We can calculate the autocorrelation of Ontology returns to help us make a trade decision. For example, suppose you find that Ontology 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 |
Ontology 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 Ontology crypto coin is displaying a positive serial correlation, investors will expect a positive pattern to continue. However, if Ontology crypto coin is observed to have a negative serial correlation, investors will generally project negative sentiment on having a locked-in long position in Ontology crypto coin over time.
Current vs Lagged Prices |
| Timeline |
Ontology Lagged Returns
When evaluating Ontology's market value, investors can use the concept of autocorrelation to see how much of an impact past prices of Ontology crypto coin have on its future price. Ontology 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, Ontology autocorrelation shows the relationship between Ontology crypto coin current value and its past values and can show if there is a momentum factor associated with investing in Ontology.
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 Ontology offers a strong return on investment in its stock, a comprehensive analysis is essential. The process typically begins with a thorough review of Ontology'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 Ontology Crypto.Check out Ontology Correlation, Ontology Volatility and Investing Opportunities module to complement your research on Ontology. You can also try the Performance Analysis module to check effects of mean-variance optimization against your current asset allocation.
Ontology 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.