One Software Stock Forecast - Polynomial Regression
| ONE Stock | ILS 5,169 86.00 1.64% |
The Polynomial Regression forecasted value of One Software Technologies on the next trading day is expected to be 5,347 with a mean absolute deviation of 109.25 and the sum of the absolute errors of 6,664. One Stock Forecast is based on your current time horizon. Investors can use this forecasting interface to forecast One Software stock prices and determine the direction of One Software Technologies's future trends based on various well-known forecasting models. We recommend always using this module together with an analysis of One Software's historical fundamentals, such as revenue growth or operating cash flow patterns.
Check out Historical Fundamental Analysis of One Software to cross-verify your projections. One |
Most investors in One Software 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 One Software's time series price data and predict how it will affect future prices. One of these methodologies is forecasting, which interprets One Software's price structures and extracts relationships that further increase the generated results' accuracy.
One Software polinomial regression implements a single variable polynomial regression model using the daily prices as the independent variable. The coefficients of the regression for One Software Technologies as well as the accuracy indicators are determined from the period prices. One Software Polynomial Regression Price Forecast For the 20th of April
Given 90 days horizon, the Polynomial Regression forecasted value of One Software Technologies on the next trading day is expected to be 5,347 with a mean absolute deviation of 109.25, mean absolute percentage error of 21,718, and the sum of the absolute errors of 6,664.Please note that although there have been many attempts to predict One 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 One Software's next future price depends linearly on its previous prices and some stochastic term (i.e., imperfectly predictable multiplier).
One Software Stock Forecast Pattern
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One Software Forecasted Value
In the context of forecasting One Software's 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. One Software's downside and upside margins for the forecasting period are 5,345 and 5,349, respectively. We have considered One Software's 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 Factors
The below table displays some essential indicators generated by the model showing the Polynomial Regression forecasting method's relative quality and the estimations of the prediction error of One Software stock data series using in forecasting. Note that when a statistical model is used to represent One Software 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.| AIC | Akaike Information Criteria | 128.0964 |
| Bias | Arithmetic mean of the errors | None |
| MAD | Mean absolute deviation | 109.2533 |
| MAPE | Mean absolute percentage error | 0.0221 |
| SAE | Sum of the absolute errors | 6664.4529 |
Predictive Modules for One Software
There are currently many different techniques concerning forecasting the market as a whole, as well as predicting future values of individual securities such as One Software Technologies. Regardless of method or technology, however, to accurately forecast the stock 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, anticipate that the market will even out over time. This tendency of One Software'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.
Other Forecasting Options for One Software
For every potential investor in One, whether a beginner or expert, One Software's price movement is the inherent factor that sparks whether it is viable to invest in it or hold it better. One Stock price charts are filled with many 'noises.' These noises can hugely alter the decision one can make regarding investing in One. Basic forecasting techniques help filter out the noise by identifying One Software's price trends.One Software 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 One Software stock to make a market-neutral strategy. Peer analysis of One Software could also be used in its relative valuation, which is a method of valuing One Software by comparing valuation metrics with similar companies.
| Risk & Return | Correlation |
One Software Technologies Technical and Predictive Analytics
The stock market is financially volatile. Despite the volatility, there exist limitless possibilities of gaining profits and building passive income portfolios. With the complexity of One Software's 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 One Software's current price.| Cycle Indicators | ||
| Math Operators | ||
| Math Transform | ||
| Momentum Indicators | ||
| Overlap Studies | ||
| Pattern Recognition | ||
| Price Transform | ||
| Statistic Functions | ||
| Volatility Indicators | ||
| Volume Indicators |
One Software Market Strength Events
Market strength indicators help investors to evaluate how One Software stock reacts to ongoing and evolving market conditions. The investors can use it to make informed decisions about market timing, and determine when trading One Software shares will generate the highest return on investment. By undertsting and applying One Software stock market strength indicators, traders can identify One Software Technologies entry and exit signals to maximize returns.
| Accumulation Distribution | 0.0229 | |||
| Daily Balance Of Power | (0.71) | |||
| Rate Of Daily Change | 0.98 | |||
| Day Median Price | 5229.5 | |||
| Day Typical Price | 5209.33 | |||
| Market Facilitation Index | 121.0 | |||
| Price Action Indicator | (103.50) | |||
| Period Momentum Indicator | (86.00) |
One Software Risk Indicators
The analysis of One Software's basic risk indicators is one of the essential steps in accurately forecasting its future price. The process involves identifying the amount of risk involved in One Software's investment and either accepting that risk or mitigating it. Along with some essential techniques for forecasting one stock prices, 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.
| Mean Deviation | 1.65 | |||
| Semi Deviation | 1.67 | |||
| Standard Deviation | 2.27 | |||
| Variance | 5.18 | |||
| Downside Variance | 3.34 | |||
| Semi Variance | 2.8 | |||
| Expected Short fall | (1.99) |
Please note, the risk measures we provide can be used independently or collectively to perform a risk assessment. When comparing two potential investments, we recommend comparing similar equities with homogenous growth potential and valuation from related markets to determine which investment holds the most risk.
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Try AI Portfolio ArchitectCheck out Historical Fundamental Analysis of One Software to cross-verify your projections. Note that the One Software Technologies information on this page should be used as a complementary analysis to other One Software's statistical models used to find the right mix of equity instruments to add to your existing portfolios or create a brand new portfolio. You can also try the Odds Of Bankruptcy module to get analysis of equity chance of financial distress in the next 2 years.
Complementary Tools for One Stock analysis
When running One Software's price analysis, check to measure One Software'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 One Software is operating at the current time. Most of One Software's value examination focuses on studying past and present price action to predict the probability of One Software's future price movements. You can analyze the entity against its peers and the financial market as a whole to determine factors that move One Software's price. Additionally, you may evaluate how the addition of One Software to your portfolios can decrease your overall portfolio volatility.
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