Cathedra Bitcoin Stock Market Value
CBIT Stock | 0.04 0.01 10.00% |
Symbol | Cathedra |
Cathedra Bitcoin Price To Book Ratio
Cathedra Bitcoin '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 Cathedra Bitcoin's stock 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 Cathedra Bitcoin.
12/16/2024 |
| 03/16/2025 |
If you would invest 0.00 in Cathedra Bitcoin on December 16, 2024 and sell it all today you would earn a total of 0.00 from holding Cathedra Bitcoin or generate 0.0% return on investment in Cathedra Bitcoin over 90 days. Cathedra Bitcoin is related to or competes with Bitfarms, Digihost Technology, Neptune Digital, and SATO Technologies. Cathedra Bitcoin is entity of Canada. It is traded as Stock on V exchange. More
Cathedra Bitcoin 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 Cathedra Bitcoin's stock 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 Cathedra Bitcoin upside and downside potential and time the market with a certain degree of confidence.
Information Ratio | (0.11) | |||
Maximum Drawdown | 25.0 | |||
Value At Risk | (10.00) | |||
Potential Upside | 8.33 |
Cathedra Bitcoin Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for Cathedra Bitcoin's investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as Cathedra Bitcoin's standard deviation. In reality, there are many statistical measures that can use Cathedra Bitcoin historical prices to predict the future Cathedra Bitcoin's volatility.Risk Adjusted Performance | (0.10) | |||
Jensen Alpha | (0.70) | |||
Total Risk Alpha | (0.03) | |||
Treynor Ratio | (0.97) |
Sophisticated investors, who have witnessed many market ups and downs, anticipate that the market will even out over time. This tendency of Cathedra Bitcoin's price to converge to an average value over time is called mean reversion. However, historically, high market prices usually discourage investors that believe in mean reversion to invest, while low prices are viewed as an opportunity to buy.
Cathedra Bitcoin Backtested Returns
Cathedra Bitcoin secures Sharpe Ratio (or Efficiency) of -0.11, which signifies that the company had a -0.11 % return per unit of risk over the last 3 months. Cathedra Bitcoin exposes twenty-one different technical indicators, which can help you to evaluate volatility embedded in its price movement. Please confirm Cathedra Bitcoin's Standard Deviation of 6.03, risk adjusted performance of (0.10), and Mean Deviation of 4.44 to double-check the risk estimate we provide. The firm shows a Beta (market volatility) of 0.81, which signifies possible diversification benefits within a given portfolio. As returns on the market increase, Cathedra Bitcoin's returns are expected to increase less than the market. However, during the bear market, the loss of holding Cathedra Bitcoin is expected to be smaller as well. At this point, Cathedra Bitcoin has a negative expected return of -0.65%. Please make sure to confirm Cathedra Bitcoin's total risk alpha, potential upside, kurtosis, as well as the relationship between the treynor ratio and skewness , to decide if Cathedra Bitcoin performance from the past will be repeated at some point in the near future.
Auto-correlation | 0.50 |
Modest predictability
Cathedra Bitcoin has modest predictability. Overlapping area represents the amount of predictability between Cathedra Bitcoin 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 Cathedra Bitcoin price movement. The serial correlation of 0.5 indicates that about 50.0% of current Cathedra Bitcoin price fluctuation can be explain by its past prices.
Correlation Coefficient | 0.5 | |
Spearman Rank Test | 0.3 | |
Residual Average | 0.0 | |
Price Variance | 0.0 |
Cathedra Bitcoin lagged returns against current returns
Autocorrelation, which is Cathedra Bitcoin stock'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 Cathedra Bitcoin's stock expected returns. We can calculate the autocorrelation of Cathedra Bitcoin returns to help us make a trade decision. For example, suppose you find that Cathedra Bitcoin has exhibited high autocorrelation historically, and you observe that the stock 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 |
Cathedra Bitcoin 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 Cathedra Bitcoin stock is displaying a positive serial correlation, investors will expect a positive pattern to continue. However, if Cathedra Bitcoin stock is observed to have a negative serial correlation, investors will generally project negative sentiment on having a locked-in long position in Cathedra Bitcoin stock over time.
Current vs Lagged Prices |
Timeline |
Cathedra Bitcoin Lagged Returns
When evaluating Cathedra Bitcoin's market value, investors can use the concept of autocorrelation to see how much of an impact past prices of Cathedra Bitcoin stock have on its future price. Cathedra Bitcoin 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, Cathedra Bitcoin autocorrelation shows the relationship between Cathedra Bitcoin stock current value and its past values and can show if there is a momentum factor associated with investing in Cathedra Bitcoin.
Regressed Prices |
Timeline |
Thematic Opportunities
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Additional Tools for Cathedra Stock Analysis
When running Cathedra Bitcoin's price analysis, check to measure Cathedra Bitcoin's market volatility, profitability, liquidity, solvency, efficiency, growth potential, financial leverage, and other vital indicators. We have many different tools that can be utilized to determine how healthy Cathedra Bitcoin is operating at the current time. Most of Cathedra Bitcoin's value examination focuses on studying past and present price action to predict the probability of Cathedra Bitcoin's future price movements. You can analyze the entity against its peers and the financial market as a whole to determine factors that move Cathedra Bitcoin's price. Additionally, you may evaluate how the addition of Cathedra Bitcoin to your portfolios can decrease your overall portfolio volatility.