Cathedra Bitcoin Stock Market Value
| CBTTF Stock | USD 0.05 0 2.03% |
| Symbol | Cathedra |
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 otc 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.
| 12/07/2022 |
| 11/26/2024 |
If you would invest 0.00 in Cathedra Bitcoin on December 7, 2022 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 720 days. Cathedra Bitcoin is related to or competes with Morgan Stanley, Goldman Sachs, Charles Schwab, Interactive Brokers, Goldman Sachs, Morgan Stanley, and Goldman Sachs. Cathedra Bitcoin Inc. operates as a bitcoin mining company in the United States 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 otc 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.
| Downside Deviation | 7.38 | |||
| Information Ratio | 0.0045 | |||
| Maximum Drawdown | 47.53 | |||
| Value At Risk | (11.24) | |||
| Potential Upside | 13.43 |
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 | 0.0248 | |||
| Jensen Alpha | (0.20) | |||
| Total Risk Alpha | (1.13) | |||
| Sortino Ratio | 0.005 | |||
| Treynor Ratio | 0.0536 |
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 -0.047, which signifies that the company had a -0.047% return per unit of risk over the last 3 months. Cathedra Bitcoin exposes twenty-eight different technical indicators, which can help you to evaluate volatility embedded in its price movement. Please confirm Cathedra Bitcoin's Downside Deviation of 7.38, risk adjusted performance of 0.0248, and Mean Deviation of 6.14 to double-check the risk estimate we provide. The firm shows a Beta (market volatility) of 2.95, which signifies 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, Cathedra Bitcoin will likely underperform. At this point, Cathedra Bitcoin has a negative expected return of -0.36%. Please make sure to confirm Cathedra Bitcoin's maximum drawdown and the relationship between the semi variance and day typical price , to decide if Cathedra Bitcoin performance from the past will be repeated at some point in the near future.
Auto-correlation | -0.16 |
Insignificant reverse predictability
Cathedra Bitcoin has insignificant reverse predictability. Overlapping area represents the amount of predictability between Cathedra Bitcoin time series from 7th of December 2022 to 2nd of December 2023 and 2nd of December 2023 to 26th 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 Cathedra Bitcoin price movement. The serial correlation of -0.16 indicates that over 16.0% of current Cathedra Bitcoin price fluctuation can be explain by its past prices.
| Correlation Coefficient | -0.16 | |
| Spearman Rank Test | -0.16 | |
| Residual Average | 0.0 | |
| Price Variance | 0.0 |
Cathedra Bitcoin lagged returns against current returns
Autocorrelation, which is Cathedra Bitcoin otc 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 otc 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 otc 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 otc stock is displaying a positive serial correlation, investors will expect a positive pattern to continue. However, if Cathedra Bitcoin otc 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 otc 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 otc 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 otc 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 |
Currently Active Assets on Macroaxis
Other Information on Investing in Cathedra OTC Stock
Cathedra Bitcoin financial ratios help investors to determine whether Cathedra OTC Stock is cheap or expensive when compared to a particular measure, such as profits or enterprise value. In other words, they help investors to determine the cost of investment in Cathedra with respect to the benefits of owning Cathedra Bitcoin security.