Agilysys Stock Forecast is based on your current time horizon. Investors can use this forecasting interface to forecast Agilysys stock prices and determine the direction of Agilysys's future trends based on various well-known forecasting models. However, solely looking at the historical price movement is usually misleading. Macroaxis recommends to always use this module together with analysis of Agilysys historical fundamentals such as revenue growth or operating cash flow patterns. Although Agilysys naive historical forecasting may sometimes provide an important future outlook for the firm we recommend to always cross-verify it against solid analysis of Agilysys systematic risk associated with finding meaningful patterns of Agilysys fundamentals over time.Check out Historical Fundamental Analysis of Agilysys to cross-verify your projections.
Open Interest Against 2023-12-15 Agilysys Option Contracts
Although open interest is a measure utilized in the options markets, it could be used to forecast Agilysys' spot prices because the number of available contracts in the market changes daily, and new contracts can be created or liquidated at will. Since open interest Agilysys' options reflect these daily shifts, investors could use the patterns of these changes to develop long and short trading strategies Agilysys stock based on available contracts left at the end of a trading day.
Please note, to derive more accurate forecasting about market movement from the current Agilysys' open interest, investors have to compare it to Agilysys' spot prices. As Ford's stock price increases, high open interest indicates that money is entering the market, and the market is strongly bullish. Conversely, if the price of Agilysys is decreasing and there is high open interest, that is a sign that the bearish trend will continue, and investors may react by taking short positions in Agilysys. So, decreasing or low open interest during a bull market indicates that investors are becoming uncertain of the depth of the bullish trend, and a reversal in sentiment will likely follow.
Most investors in Agilysys cannot accurately predict what will happen the next trading day because, historically, stock markets tend to be unpredictable and even illogical. Modeling turbulent structures requires applying different statistical methods, techniques, and algorithms to find hidden data structures or patterns within the Agilysys' time series price data and predict how it will affect future prices. One of these methodologies is forecasting, which interprets Agilysys' price structures and extracts relationships that further increase the generated results' accuracy.A four-period moving average forecast model for Agilysys is based on an artificially constructed daily price series in which the value for a given day is replaced by the mean of that value and the values for four preceding and succeeding time periods. This model is best suited to forecast equities with high volatility.
Agilysys 4 Period Moving Average Price Forecast For the 2nd of DecemberGiven 90 days horizon, the 4 Period Moving Average forecasted value of Agilysys on the next trading day is expected to be 85.73 with a mean absolute deviation of 2.19, mean absolute percentage error of 11.85, and the sum of the absolute errors of 127.00.
Please note that although there have been many attempts to predict Agilysys Stock prices using its time series forecasting, we generally do not recommend using it to place bets in the real market. The most commonly used models for forecasting predictions are the autoregressive models, which specify that Agilysys' next future price depends linearly on its previous prices and some stochastic term (i.e., imperfectly predictable multiplier).
Agilysys Stock Forecast Pattern
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Agilysys Forecasted Value
In the context of forecasting Agilysys' Stock value on the next trading day, we examine the predictive performance of the model to find good statistically significant boundaries of downside and upside scenarios. Agilysys' downside and upside margins for the forecasting period are 81.99 and 89.48, respectively. We have considered Agilysys' daily market price to evaluate the above model's predictive performance. Remember, however, there is no scientific proof or empirical evidence that traditional linear or nonlinear forecasting models outperform artificial intelligence and frequency domain models to provide accurate forecasts consistently.
Model Predictive FactorsThe below table displays some essential indicators generated by the model showing the 4 Period Moving Average forecasting method's relative quality and the estimations of the prediction error of Agilysys stock data series using in forecasting. Note that when a statistical model is used to represent Agilysys stock, the representation will rarely be exact; so some information will be lost using the model to explain the process. AIC estimates the relative amount of information lost by a given model: the less information a model loses, the higher its quality. The four period moving average method has an advantage over other forecasting models in that it does smooth out peaks and troughs in a set of daily price observations of Agilysys. However, it also has several disadvantages. In particular this model does not produce an actual prediction equation for Agilysys and therefore, it cannot be a useful forecasting tool for medium or long range price predictions
Predictive Modules for AgilysysThere are currently many different techniques concerning forecasting the market as a whole, as well as predicting future values of individual securities such as Agilysys. Regardless of method or technology, however, to accurately forecast the stock or bond market is more a matter of luck rather than a particular technique. Nevertheless, trying to predict the stock market accurately is still an essential part of the overall investment decision process. Using different forecasting techniques and comparing the results might improve your chances of accuracy even though unexpected events may often change the market sentiment and impact your forecasting results.
Sophisticated investors, who have witnessed many market ups and downs, frequently view 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. Please use the tools below to analyze the current value of Agilysys in the context of predictive analytics.
Other Forecasting Options for AgilysysFor every potential investor in Agilysys, whether a beginner or expert, Agilysys' price movement is the inherent factor that sparks whether it is viable to invest in it or hold it better. Agilysys Stock price charts are filled with many 'noises.' These noises can hugely alter the decision one can make regarding investing in Agilysys. Basic forecasting techniques help filter out the noise by identifying Agilysys' price trends.
Agilysys Related Equities
One of the popular trading techniques among algorithmic traders is to use market-neutral strategies where every trade hedges away some risk. Because there are two separate transactions required, even if one position performs unexpectedly, the other equity can make up some of the losses. Below are some of the equities that can be combined with Agilysys stock to make a market-neutral strategy. Peer analysis of Agilysys could also be used in its relative valuation, which is a method of valuing Agilysys by comparing valuation metrics with similar companies.
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Agilysys Technical and Predictive AnalyticsThe stock market is financially volatile. Despite the volatility, there exist limitless possibilities of gaining profits and building passive income portfolios. With the complexity of Agilysys' price movements, , a comprehensive understanding of forecasting methods that an investor can rely on to make the right move is invaluable. These methods predict trends that assist an investor in predicting the movement of Agilysys' current price.
Agilysys Market Strength Events
Market strength indicators help investors to evaluate how Agilysys stock reacts to ongoing and evolving market conditions. The investors can use it to make informed decisions about market timing, and determine when trading Agilysys shares will generate the highest return on investment. By undertsting and applying Agilysys stock market strength indicators, traders can identify Agilysys entry and exit signals to maximize returns.
Agilysys Risk Indicators
The analysis of Agilysys' basic risk indicators is one of the essential steps in helping accuretelly forecast its future price. The process involves identifying the amount of risk involved in Agilysys' investment and either accepting that risk or mitigating it. Along with some funamental techniques of forecasting Agilysys stock price, we also provide a set of basic risk indicators that can assist in the individual investment decision or help in hedging the risk of your existing portfolios.
Please note, the risk measures we provide can be used independently or collectively to perform a risk assessment. When comparing two potential stock investments, we recommend comparing similar equities with homogenous growth potential and valuation from related markets to determine which investment holds the most risk.
Agilysys Investors Sentiment
The influence of Agilysys' investor sentiment on the probability of its price appreciation or decline could be a good factor in your decision-making process regarding taking a position in Agilysys. The overall investor sentiment generally increases the direction of a stock movement in a one-year investment horizon. However, the impact of investor sentiment on the entire stock market does not have solid backing from leading economists and market statisticians.
Investor biases related to Agilysys' public news can be used to forecast risks associated with an investment in Agilysys. The trend in average sentiment can be used to explain how an investor holding Agilysys can time the market purely based on public headlines and social activities around Agilysys. Please note that most equities that are difficult to arbitrage are affected by market sentiment the most.
Agilysys' market sentiment shows the aggregated news analyzed to detect positive and negative mentions from the text and comments. The data is normalized to provide daily scores for Agilysys' and other traded tickers. The bigger the bubble, the more accurate is the estimated score. Higher bars for a given day show more participation in the average Agilysys' news discussions. The higher the estimated score, the more favorable is the investor's outlook on Agilysys.
Some investors attempt to determine whether the market's mood is bullish or bearish by monitoring changes in market sentiment. Unlike more traditional methods such as technical analysis, investor sentiment usually refers to the aggregate attitude towards Agilysys in the overall investment community. So, suppose investors can accurately measure the market's sentiment. In that case, they can use it for their benefit. For example, some tools to gauge market sentiment could be utilized using contrarian indexes, Agilysys' short interest history, or implied volatility extrapolated from Agilysys options trading.
Pair Trading with AgilysysOne of the main advantages of trading using pair correlations is that every trade hedges away some risk. Because there are two separate transactions required, even if Agilysys position performs unexpectedly, the other equity can make up some of the losses. Pair trading also minimizes risk from directional movements in the market. For example, if an entire industry or sector drops because of unexpected headlines, the short position in Agilysys will appreciate offsetting losses from the drop in the long position's value. When determining whether Agilysys is a strong investment it is important to analyze Agilysys' competitive position within its industry, examining market share, product or service uniqueness, and competitive advantages. Beyond financials and market position, potential investors should also consider broader economic conditions, industry trends, and any regulatory or geopolitical factors that may impact Agilysys' future performance. For an informed investment choice regarding Agilysys Stock, refer to the following important reports:
Check out Historical Fundamental Analysis of Agilysys to cross-verify your projections.For more information on how to buy Agilysys Stock please use our How to Invest in Agilysys guide.You can also try the Funds Screener module to find actively-traded funds from around the world traded on over 30 global exchanges.
Complementary 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.
Is Agilysys' industry expected to grow? Or is there an opportunity to expand the business' product line in the future? Factors like these will boost the valuation of Agilysys. If investors know Agilysys will grow in the future, the company's valuation will be higher. The financial industry is built on trying to define current growth potential and future valuation accurately. All the valuation information about Agilysys listed above have to be considered, but the key to understanding future value is determining which factors weigh more heavily than others.
Quarterly Earnings Growth
Revenue Per Share
Quarterly Revenue Growth
Return On Assets
The market value of Agilysys is measured differently than its book value, which is the value of Agilysys that is recorded on the company's balance sheet. Investors also form their own opinion of Agilysys' value that differs from its market value or its book value, called intrinsic value, which is Agilysys' true underlying value. Investors use various methods to calculate intrinsic value and buy a stock when its market value falls below its intrinsic value. Because Agilysys' market value can be influenced by many factors that don't directly affect Agilysys' underlying business (such as a pandemic or basic market pessimism), market value can vary widely from intrinsic value.
Please note, there is a significant difference between Agilysys' value and its price as these two are different measures arrived at by different means. Investors typically determine if Agilysys is a good investment by looking at such factors as earnings, sales, fundamental and technical indicators, competition as well as analyst projections. However, Agilysys' price is the amount at which it trades on the open market and represents the number that a seller and buyer find agreeable to each party.