Big Time Technical Analysis
| BIGTIME Crypto | USD 0.14 0.01 6.67% |
As of the 23rd of November, Big Time shows the risk adjusted performance of 0.0916, and Mean Deviation of 7.32. Big Time 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 entity's future prices. Please confirm Big Time variance, as well as the relationship between the value at risk and skewness to decide if Big Time is priced correctly, providing market reflects its regular price of 0.14 per share.
Big Time Momentum Analysis
Momentum indicators are widely used technical indicators which help to measure the pace at which the price of specific equity, such as Big, fluctuates. Many momentum indicators also complement each other and can be helpful when the market is rising or falling as compared to BigBig |
Big Time 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.
Big Time Technical Analysis
The output start index for this execution was three with a total number of output elements of fifty-eight. 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 Big Time volatility. High ATR values indicate high volatility, and low values indicate low volatility.
Big Time Trend Analysis
Use this graph to draw trend lines for Big Time. You can use it to identify possible trend reversals for Big Time 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 Big Time price movement. To start drawing, click on the pencil icon on top-right. To remove the trend, use eraser icon.Big Time Best Fit Change Line
The following chart estimates an ordinary least squares regression model for Big Time applied against its price change over selected period. The best fit line has a slop of 0 , which means Big Time will continue generating value for investors. It has 122 observation points and a regression sum of squares at 0.06, which is the sum of squared deviations for the predicted Big Time price change compared to its average price change.About Big Time 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 Big Time 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 Big Time based on its technical analysis. In general, a bottom-up approach, as applied to this cryptocurrency, focuses on Big Time price pattern first instead of the macroeconomic environment surrounding Big Time. By analyzing daily price indicators and various types of growth rates, we attempt to find the most accurate representation of Big Time's intrinsic value. As compared to a bottom-up approach, our top-down model examines the macroeconomic factors that affect the crypto market before zooming in to Big Time specific price patterns or momentum indicators.
Big Time November 23, 2024 Technical Indicators
Most technical analysis of Big 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 Big from various momentum indicators to cycle indicators. When you analyze Big 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 | 0.0916 | |||
| Market Risk Adjusted Performance | 1.24 | |||
| Mean Deviation | 7.32 | |||
| Semi Deviation | 6.13 | |||
| Downside Deviation | 8.35 | |||
| Coefficient Of Variation | 932.09 | |||
| Standard Deviation | 10.66 | |||
| Variance | 113.68 | |||
| Information Ratio | 0.095 | |||
| Jensen Alpha | 1.02 | |||
| Total Risk Alpha | (0.55) | |||
| Sortino Ratio | 0.1214 | |||
| Treynor Ratio | 1.23 | |||
| Maximum Drawdown | 53.43 | |||
| Value At Risk | (10.53) | |||
| Potential Upside | 18.18 | |||
| Downside Variance | 69.68 | |||
| Semi Variance | 37.54 | |||
| Expected Short fall | (13.23) | |||
| Skewness | 1.62 | |||
| Kurtosis | 4.13 |
Check out Trending Equities to better understand how to build diversified portfolios, which includes a position in Big Time. Also, note that the market value of any cryptocurrency could be closely tied with the direction of predictive economic indicators such as signals in gross domestic product. You can also try the Portfolio Diagnostics module to use generated alerts and portfolio events aggregator to diagnose current holdings.