OBSR Market Value
| OBSR Crypto | USD 0 0.000003 0.18% |
| Symbol | OBSR |
OBSR '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 OBSR'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 OBSR.
| 12/16/2024 |
| 03/16/2025 |
If you would invest 0.00 in OBSR on December 16, 2024 and sell it all today you would earn a total of 0.00 from holding OBSR or generate 0.0% return on investment in OBSR over 90 days. OBSR is related to or competes with Staked Ether, Phala Network, EigenLayer, Morpho, and DIA. OBSR is peer-to-peer digital currency powered by the Blockchain technology.
OBSR 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 OBSR'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 OBSR upside and downside potential and time the market with a certain degree of confidence.
| Downside Deviation | 21.65 | |||
| Information Ratio | 0.1207 | |||
| Maximum Drawdown | 150.57 | |||
| Value At Risk | (35.69) | |||
| Potential Upside | 49.97 |
OBSR Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for OBSR's investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as OBSR's standard deviation. In reality, there are many statistical measures that can use OBSR historical prices to predict the future OBSR's volatility.| Risk Adjusted Performance | 0.1119 | |||
| Jensen Alpha | 3.59 | |||
| Total Risk Alpha | 7.2 | |||
| Sortino Ratio | 0.1658 | |||
| Treynor Ratio | 3.38 |
OBSR Backtested Returns
OBSR is abnormally risky given 3 months investment horizon. OBSR maintains Sharpe Ratio (i.e., Efficiency) of 0.12, which implies digital coin had a 0.12 % return per unit of standard deviation over the last 3 months. We were able to break down twenty-seven different technical indicators, which can help you to evaluate if expected returns of 3.47% are justified by taking the suggested risk. Use OBSR Mean Deviation of 16.99, coefficient of variation of 852.01, and Market Risk Adjusted Performance of 3.39 to evaluate coin specific risk that cannot be diversified away. The entity holds a Beta of 1.03, which implies a somewhat significant risk relative to the market. OBSR returns are very sensitive to returns on the market. As the market goes up or down, OBSR is expected to follow.
Auto-correlation | -0.45 |
Modest reverse predictability
OBSR has modest reverse predictability. Overlapping area represents the amount of predictability between OBSR time series from 16th of December 2024 to 30th of January 2025 and 30th of January 2025 to 16th of March 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 OBSR price movement. The serial correlation of -0.45 indicates that just about 45.0% of current OBSR price fluctuation can be explain by its past prices.
| Correlation Coefficient | -0.45 | |
| Spearman Rank Test | -0.4 | |
| Residual Average | 0.0 | |
| Price Variance | 0.0 |
OBSR lagged returns against current returns
Autocorrelation, which is OBSR 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 OBSR's crypto coin expected returns. We can calculate the autocorrelation of OBSR returns to help us make a trade decision. For example, suppose you find that OBSR 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 |
OBSR 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 OBSR crypto coin is displaying a positive serial correlation, investors will expect a positive pattern to continue. However, if OBSR crypto coin is observed to have a negative serial correlation, investors will generally project negative sentiment on having a locked-in long position in OBSR crypto coin over time.
Current vs Lagged Prices |
| Timeline |
OBSR Lagged Returns
When evaluating OBSR's market value, investors can use the concept of autocorrelation to see how much of an impact past prices of OBSR crypto coin have on its future price. OBSR 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, OBSR autocorrelation shows the relationship between OBSR crypto coin current value and its past values and can show if there is a momentum factor associated with investing in OBSR.
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 OBSR offers a strong return on investment in its stock, a comprehensive analysis is essential. The process typically begins with a thorough review of OBSR'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 Obsr Crypto.Check out OBSR Correlation, OBSR Volatility and Investing Opportunities module to complement your research on OBSR. You can also try the Analyst Advice module to analyst recommendations and target price estimates broken down by several categories.
OBSR 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.