Agilysys Stock Statistic Functions Linear Regression
| AGYS Stock | USD 133.89 3.83 2.78% |
| Symbol |
Incorrect Input. Please change your parameters or increase the time horizon required for running this function. The output start index for this execution was zero with a total number of output elements of zero. The Linear Regression model generates relationship between price series of Agilysys and its peer or benchmark and helps predict Agilysys future price from its past values.
Agilysys Technical Analysis Modules
Most technical analysis of Agilysys 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 Agilysys from various momentum indicators to cycle indicators. When you analyze Agilysys 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 Agilysys 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 Agilysys. We use our internally-developed statistical techniques to arrive at the intrinsic value of Agilysys based on widely used predictive technical indicators. In general, we focus on analyzing Agilysys Stock price patterns and their correlations with different microeconomic environment and drivers. We also apply predictive analytics to build Agilysys'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 Agilysys's intrinsic value. In addition to deriving basic predictive indicators for Agilysys, we also check how macroeconomic factors affect Agilysys price patterns. Please read more on our technical analysis page or use our predictive modules below to complement your research.
| 2021 | 2022 | 2023 | 2024 (projected) | Dividend Yield | 0.00189 | 9.01E-4 | 7.64E-4 | 7.25E-4 | Price To Sales Ratio | 5.97 | 10.29 | 9.17 | 9.63 |
Sophisticated investors, who have witnessed many market ups and downs, anticipate that the market will even out over time. This tendency of Agilysys' 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.
Be your own money manager
As an individual investor, you need to find a reliable way to track all your investment portfolios' performance accurately. However, your requirements will often be based on how much of the process you decide to do yourself. In addition to allowing you full analytical transparency into your positions, our tools can tell you how much better you can do without increasing your risk or reducing expected return.Generate Optimal Portfolios
Align your risk and return expectations
Additional Tools for Agilysys Stock Analysis
When running Agilysys' price analysis, check to measure Agilysys' 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 Agilysys is operating at the current time. Most of Agilysys' value examination focuses on studying past and present price action to predict the probability of Agilysys' future price movements. You can analyze the entity against its peers and the financial market as a whole to determine factors that move Agilysys' price. Additionally, you may evaluate how the addition of Agilysys to your portfolios can decrease your overall portfolio volatility.