Cathedra Bitcoin Stock Technical Analysis
| CBTTF Stock | USD 0.05 0 2.03% |
As of the 26th of November, Cathedra Bitcoin shows the Downside Deviation of 7.38, risk adjusted performance of 0.0248, and Mean Deviation of 6.14. Cathedra Bitcoin technical analysis gives you the methodology to make use of historical prices and volume patterns to determine a pattern that approximates the direction of the firm's future prices. Put another way, you can use this information to find out if the firm will indeed mirror its model of historical prices and volume momentum, or the prices will eventually revert. We were able to interpolate and analyze data for nineteen technical drivers for Cathedra Bitcoin, which can be compared to its peers. Please confirm Cathedra Bitcoin variance, maximum drawdown, as well as the relationship between the Maximum Drawdown and semi variance to decide if Cathedra Bitcoin is priced correctly, providing market reflects its regular price of 0.053 per share. As Cathedra Bitcoin appears to be a penny stock we also recommend to validate its total risk alpha numbers.
Cathedra Bitcoin Momentum Analysis
Momentum indicators are widely used technical indicators which help to measure the pace at which the price of specific equity, such as Cathedra, fluctuates. Many momentum indicators also complement each other and can be helpful when the market is rising or falling as compared to CathedraCathedra |
Cathedra Bitcoin technical otc stock 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, otc market cycles, or different charting patterns.
Cathedra Bitcoin Technical Analysis
The output start index for this execution was one with a total number of output elements of sixty. The Average True Range was developed by J. Welles Wilder in 1970s. It is one of components of the Welles Wilder Directional Movement indicators. The ATR is a measure of Cathedra Bitcoin volatility. High ATR values indicate high volatility, and low values indicate low volatility.
Cathedra Bitcoin Trend Analysis
Use this graph to draw trend lines for Cathedra Bitcoin. You can use it to identify possible trend reversals for Cathedra Bitcoin as well as other signals and approximate when it will take place. Remember, you need at least two touches of the trend line with actual Cathedra Bitcoin price movement. To start drawing, click on the pencil icon on top-right. To remove the trend, use eraser icon.Cathedra Bitcoin Best Fit Change Line
The following chart estimates an ordinary least squares regression model for Cathedra Bitcoin applied against its price change over selected period. The best fit line has a slop of 0.0002 , which may suggest that Cathedra Bitcoin market price will keep on failing further. It has 122 observation points and a regression sum of squares at 0.0, which is the sum of squared deviations for the predicted Cathedra Bitcoin price change compared to its average price change.About Cathedra Bitcoin Technical Analysis
The technical analysis module can be used to analyzes prices, returns, volume, basic money flow, and other market information and help investors to determine the real value of Cathedra Bitcoin on a daily or weekly bases. We use both bottom-up as well as top-down valuation methodologies to arrive at the intrinsic value of Cathedra Bitcoin based on its technical analysis. In general, a bottom-up approach, as applied to this otc stock, focuses on Cathedra Bitcoin price pattern first instead of the macroeconomic environment surrounding Cathedra Bitcoin. By analyzing Cathedra Bitcoin's financials, daily price indicators, and related drivers such as dividends, momentum ratios, and various types of growth rates, we attempt to find the most accurate representation of Cathedra Bitcoin's intrinsic value. As compared to a bottom-up approach, our top-down model examines the macroeconomic factors that affect the industry/economy before zooming in to Cathedra Bitcoin specific price patterns or momentum indicators. Please read more on our technical analysis page.
Cathedra Bitcoin November 26, 2024 Technical Indicators
Most technical analysis of Cathedra help investors determine whether a current trend will continue and, if not, when it will shift. We provide a combination of tools to recognize potential entry and exit points for Cathedra from various momentum indicators to cycle indicators. When you analyze Cathedra charts, please remember that the event formation may indicate an entry point for a short seller, and look at different other indicators across different periods to confirm that a breakdown or reversion is likely to occur.
| Cycle Indicators | ||
| Math Operators | ||
| Math Transform | ||
| Momentum Indicators | ||
| Overlap Studies | ||
| Pattern Recognition | ||
| Price Transform | ||
| Statistic Functions | ||
| Volatility Indicators | ||
| Volume Indicators |
| Risk Adjusted Performance | 0.0248 | |||
| Market Risk Adjusted Performance | 0.0636 | |||
| Mean Deviation | 6.14 | |||
| Semi Deviation | 7.26 | |||
| Downside Deviation | 7.38 | |||
| Coefficient Of Variation | 4885.27 | |||
| Standard Deviation | 8.2 | |||
| Variance | 67.3 | |||
| Information Ratio | 0.0045 | |||
| Jensen Alpha | (0.20) | |||
| Total Risk Alpha | (1.13) | |||
| Sortino Ratio | 0.005 | |||
| Treynor Ratio | 0.0536 | |||
| Maximum Drawdown | 47.53 | |||
| Value At Risk | (11.24) | |||
| Potential Upside | 13.43 | |||
| Downside Variance | 54.51 | |||
| Semi Variance | 52.74 | |||
| Expected Short fall | (6.71) | |||
| Skewness | 0.5718 | |||
| Kurtosis | 1.4 |
Cathedra Bitcoin November 26, 2024 Daily Trend Indicators
Traders often use several different daily volumes and price technical indicators to supplement a more traditional technical analysis when analyzing securities such as Cathedra stock. With literally thousands of different options, investors must choose the best indicators for them and familiarize themselves with how they work. We suggest combining traditional momentum indicators with more near-term forms of technical analysis such as Accumulation Distribution or Daily Balance Of Power. With their quantitative nature, daily value technical indicators can also be incorporated into your automated trading systems.
| Accumulation Distribution | 23,372 | ||
| Daily Balance Of Power | (0.55) | ||
| Rate Of Daily Change | 0.98 | ||
| Day Median Price | 0.05 | ||
| Day Typical Price | 0.05 | ||
| Price Action Indicator | 0.00 |
Complementary Tools for Cathedra OTC 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.
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