Greystone Housing Impact Stock Technical Analysis
| GHI Stock | 11.75 0.06 0.51% |
As of the 22nd of November, Greystone Housing retains the Market Risk Adjusted Performance of 0.8866, standard deviation of 1.98, and Risk Adjusted Performance of (0.06). Greystone Housing 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.
Greystone Housing Momentum Analysis
Momentum indicators are widely used technical indicators which help to measure the pace at which the price of specific equity, such as Greystone, fluctuates. Many momentum indicators also complement each other and can be helpful when the market is rising or falling as compared to GreystoneGreystone |
Greystone Housing Analyst Consensus
| Target Price | Advice | # of Analysts | |
| 19.92 | Strong Buy | 4 | Odds |
Most Greystone analysts issue ratings four times a year, at intervals of three months. Ratings are usually accompanied by a target price to helps potential investors understand Greystone stock's fair price compared to its market value. Analysts arrive at stock ratings after researching public financial statements of Greystone Housing Impact, talking to its executives and customers, or listening to Greystone conference calls.
Greystone Housing 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.
Greystone Housing Impact Technical Analysis
The output start index for this execution was thirty-six with a total number of output elements of twenty-five. 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 Greystone Housing Impact volatility. High ATR values indicate high volatility, and low values indicate low volatility.
Greystone Housing Impact Trend Analysis
Use this graph to draw trend lines for Greystone Housing Impact. You can use it to identify possible trend reversals for Greystone Housing 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 Greystone Housing price movement. To start drawing, click on the pencil icon on top-right. To remove the trend, use eraser icon.Greystone Housing Best Fit Change Line
The following chart estimates an ordinary least squares regression model for Greystone Housing Impact applied against its price change over selected period. The best fit line has a slop of 0.04 , which may imply that the returns on investment in Greystone Housing Impact will continue to fail. It has 122 observation points and a regression sum of squares at 48.11, which is the sum of squared deviations for the predicted Greystone Housing price change compared to its average price change.About Greystone Housing 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 Greystone Housing Impact 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 Greystone Housing Impact based on its technical analysis. In general, a bottom-up approach, as applied to this company, focuses on Greystone Housing Impact price pattern first instead of the macroeconomic environment surrounding Greystone Housing Impact. By analyzing Greystone Housing'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 Greystone Housing'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 Greystone Housing specific price patterns or momentum indicators. Please read more on our technical analysis page.
| 2021 | 2022 | 2024 (projected) | Dividend Yield | 0.0713 | 0.12 | 0.0746 | Price To Sales Ratio | 6.48 | 4.36 | 7.62 |
Greystone Housing November 22, 2024 Technical Indicators
Most technical analysis of Greystone 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 Greystone from various momentum indicators to cycle indicators. When you analyze Greystone 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 | (0.06) | |||
| Market Risk Adjusted Performance | 0.8866 | |||
| Mean Deviation | 1.35 | |||
| Coefficient Of Variation | (1,118) | |||
| Standard Deviation | 1.98 | |||
| Variance | 3.93 | |||
| Information Ratio | (0.14) | |||
| Jensen Alpha | (0.17) | |||
| Total Risk Alpha | (0.45) | |||
| Treynor Ratio | 0.8766 | |||
| Maximum Drawdown | 11.65 | |||
| Value At Risk | (2.81) | |||
| Potential Upside | 3.13 | |||
| Skewness | 0.337 | |||
| Kurtosis | 2.93 |
Complementary Tools for Greystone Stock analysis
When running Greystone Housing's price analysis, check to measure Greystone Housing'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 Greystone Housing is operating at the current time. Most of Greystone Housing's value examination focuses on studying past and present price action to predict the probability of Greystone Housing's future price movements. You can analyze the entity against its peers and the financial market as a whole to determine factors that move Greystone Housing's price. Additionally, you may evaluate how the addition of Greystone Housing to your portfolios can decrease your overall portfolio volatility.
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