Generation Income Properties Stock Technical Analysis
| GIPRW Stock | USD 0.20 0.05 33.33% |
As of the 25th of November, Generation Income retains the Risk Adjusted Performance of 0.0658, downside deviation of 27.89, and Market Risk Adjusted Performance of (0.31). Generation Income technical analysis makes it possible for you to employ historical prices and volume momentum with the intention to determine a pattern that calculates the direction of the firm's future prices. Please check out Generation Income coefficient of variation, maximum drawdown, as well as the relationship between the Maximum Drawdown and skewness to decide if Generation Income is priced fairly, providing market reflects its last-minute price of 0.2 per share. As Generation Income appears to be a penny stock we also urge to confirm its total risk alpha numbers.
Generation Income Momentum Analysis
Momentum indicators are widely used technical indicators which help to measure the pace at which the price of specific equity, such as Generation, fluctuates. Many momentum indicators also complement each other and can be helpful when the market is rising or falling as compared to GenerationGeneration |
Generation Income technical 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, stock market cycles, or different charting patterns.
Generation Income Technical Analysis
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Generation Income Trend Analysis
Use this graph to draw trend lines for Generation Income Properties. You can use it to identify possible trend reversals for Generation Income 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 Generation Income price movement. To start drawing, click on the pencil icon on top-right. To remove the trend, use eraser icon.Generation Income Best Fit Change Line
The following chart estimates an ordinary least squares regression model for Generation Income Properties applied against its price change over selected period. The best fit line has a slop of 0.0041 , which may suggest that Generation Income Properties market price will keep on failing further. It has 122 observation points and a regression sum of squares at 0.63, which is the sum of squared deviations for the predicted Generation Income price change compared to its average price change.About Generation Income 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 Generation Income Properties 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 Generation Income Properties based on its technical analysis. In general, a bottom-up approach, as applied to this company, focuses on Generation Income price pattern first instead of the macroeconomic environment surrounding Generation Income. By analyzing Generation Income'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 Generation Income'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 Generation Income specific price patterns or momentum indicators. Please read more on our technical analysis page.
| 2021 | 2022 | 2023 | 2024 (projected) | Dividend Yield | 0.0414 | 0.12 | 0.16 | 0.17 | Price To Sales Ratio | 3.47 | 2.06 | 1.3 | 1.24 |
Generation Income November 25, 2024 Technical Indicators
Most technical analysis of Generation 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 Generation from various momentum indicators to cycle indicators. When you analyze Generation 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.
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| Risk Adjusted Performance | 0.0658 | |||
| Market Risk Adjusted Performance | (0.31) | |||
| Mean Deviation | 15.68 | |||
| Semi Deviation | 16.54 | |||
| Downside Deviation | 27.89 | |||
| Coefficient Of Variation | 1366.06 | |||
| Standard Deviation | 25.85 | |||
| Variance | 668.42 | |||
| Information Ratio | 0.0681 | |||
| Jensen Alpha | 2.6 | |||
| Total Risk Alpha | (2.19) | |||
| Sortino Ratio | 0.0632 | |||
| Treynor Ratio | (0.32) | |||
| Maximum Drawdown | 145.82 | |||
| Value At Risk | (37.04) | |||
| Potential Upside | 50.0 | |||
| Downside Variance | 777.62 | |||
| Semi Variance | 273.47 | |||
| Expected Short fall | (32.32) | |||
| Skewness | 1.34 | |||
| Kurtosis | 3.76 |
Additional Tools for Generation Stock Analysis
When running Generation Income's price analysis, check to measure Generation Income'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 Generation Income is operating at the current time. Most of Generation Income's value examination focuses on studying past and present price action to predict the probability of Generation Income's future price movements. You can analyze the entity against its peers and the financial market as a whole to determine factors that move Generation Income's price. Additionally, you may evaluate how the addition of Generation Income to your portfolios can decrease your overall portfolio volatility.