Homestreet Stock Statistic Functions Time Series Forecast
| HMST Stock | USD 9.52 0.34 3.45% |
| Symbol |
The output start index for this execution was fifty-nine with a total number of output elements of two. The Time Series Forecast uses simple linear regression to derive HomeStreet best fit line over a given time period and plot it forward over user-defined time period.
HomeStreet Technical Analysis Modules
Most technical analysis of HomeStreet 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 HomeStreet from various momentum indicators to cycle indicators. When you analyze HomeStreet charts, please remember that the event formation may indicate an entry point for a short seller, and look at 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 |
About HomeStreet Predictive Technical Analysis
Predictive technical analysis modules help investors to analyze different prices and returns patterns as well as diagnose historical swings to determine the real value of HomeStreet. We use our internally-developed statistical techniques to arrive at the intrinsic value of HomeStreet based on widely used predictive technical indicators. In general, we focus on analyzing HomeStreet Stock price patterns and their correlations with different microeconomic environment and drivers. We also apply predictive analytics to build HomeStreet's daily price indicators and compare them against related drivers, such as statistic functions and various other types of predictive indicators. Using this methodology combined with a more conventional technical analysis and fundamental analysis, we attempt to find the most accurate representation of HomeStreet's intrinsic value. In addition to deriving basic predictive indicators for HomeStreet, we also check how macroeconomic factors affect HomeStreet price patterns. Please read more on our technical analysis page or use our predictive modules below to complement your research.
| 2022 | 2023 | 2024 | 2025 (projected) | |
| PTB Ratio | 0.93 | 0.36 | 0.41 | 0.39 |
| Price To Sales Ratio | 2.05 | 1.08 | 0.53 | 0.51 |
Sophisticated investors, who have witnessed many market ups and downs, anticipate that the market will even out over time. This tendency of HomeStreet's price to converge to an average value over time is called mean reversion. However, historically, high market prices usually discourage investors that believe in mean reversion to invest, while low prices are viewed as an opportunity to buy.
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Additional Tools for HomeStreet Stock Analysis
When running HomeStreet's price analysis, check to measure HomeStreet'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 HomeStreet is operating at the current time. Most of HomeStreet's value examination focuses on studying past and present price action to predict the probability of HomeStreet's future price movements. You can analyze the entity against its peers and the financial market as a whole to determine factors that move HomeStreet's price. Additionally, you may evaluate how the addition of HomeStreet to your portfolios can decrease your overall portfolio volatility.