Real Brands Stock Technical Analysis
As of the 11th of December 2024, Real Brands holds the Coefficient Of Variation of (133,298), risk adjusted performance of 0.0092, and Variance of 748.53. Compared to fundamental indicators, the technical analysis model allows you to check existing technical drivers of Real Brands, as well as the relationship between them. Please check Real Brands variance, as well as the relationship between the maximum drawdown and skewness to decide if Real Brands is priced some-what accurately, providing market reflects its current price of 0.0 per share.
Real Brands Momentum Analysis
Momentum indicators are widely used technical indicators which help to measure the pace at which the price of specific equity, such as Real, fluctuates. Many momentum indicators also complement each other and can be helpful when the market is rising or falling as compared to RealReal |
Real Brands technical pink sheet 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, pink sheet market cycles, or different charting patterns.
Real Brands Technical Analysis
The output start index for this execution was sixty with a total number of output elements of one. 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 Real Brands volatility. High ATR values indicate high volatility, and low values indicate low volatility.
Real Brands Trend Analysis
Use this graph to draw trend lines for Real Brands. You can use it to identify possible trend reversals for Real Brands 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 Real Brands price movement. To start drawing, click on the pencil icon on top-right. To remove the trend, use eraser icon.Real Brands Best Fit Change Line
The following chart estimates an ordinary least squares regression model for Real Brands applied against its price change over selected period. The best fit line has a slop of 0.0002 , which may suggest that Real Brands 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 Real Brands price change compared to its average price change.About Real Brands 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 Real Brands 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 Real Brands based on its technical analysis. In general, a bottom-up approach, as applied to this company, focuses on Real Brands price pattern first instead of the macroeconomic environment surrounding Real Brands. By analyzing Real Brands'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 Real Brands'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 Real Brands specific price patterns or momentum indicators. Please read more on our technical analysis page.
Real Brands December 11, 2024 Technical Indicators
Most technical analysis of Real 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 Real from various momentum indicators to cycle indicators. When you analyze Real 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 | 0.0092 | |||
Market Risk Adjusted Performance | (0.12) | |||
Mean Deviation | 12.52 | |||
Coefficient Of Variation | (133,298) | |||
Standard Deviation | 27.36 | |||
Variance | 748.53 | |||
Information Ratio | (0.01) | |||
Jensen Alpha | (0.06) | |||
Total Risk Alpha | (4.36) | |||
Treynor Ratio | (0.13) | |||
Maximum Drawdown | 154.01 | |||
Value At Risk | (50.00) | |||
Potential Upside | 40.0 | |||
Skewness | 0.7453 | |||
Kurtosis | 6.7 |
Complementary Tools for Real Pink Sheet analysis
When running Real Brands' price analysis, check to measure Real Brands' 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 Real Brands is operating at the current time. Most of Real Brands' value examination focuses on studying past and present price action to predict the probability of Real Brands' future price movements. You can analyze the entity against its peers and the financial market as a whole to determine factors that move Real Brands' price. Additionally, you may evaluate how the addition of Real Brands to your portfolios can decrease your overall portfolio volatility.
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