Open Text Stock Forecast - Simple Regression
| OTEX Stock | CAD 48.67 0.06 0.12% |
The Simple Regression forecasted value of Open Text Corp on the next trading day is expected to be 48.27 with a mean absolute deviation of 0.92 and the sum of the absolute errors of 56.90. Open Stock Forecast is based on your current time horizon. Investors can use this forecasting interface to forecast Open Text stock prices and determine the direction of Open Text Corp's future trends based on various well-known forecasting models. We recommend always using this module together with an analysis of Open Text's historical fundamentals, such as revenue growth or operating cash flow patterns. Although Open Text's naive historical forecasting may sometimes provide an important future outlook for the firm, we recommend always cross-verifying it against solid analysis of Open Text's systematic risk associated with finding meaningful patterns of Open Text fundamentals over time.
Check out Historical Fundamental Analysis of Open Text to cross-verify your projections. Open |
Most investors in Open Text 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 Open Text's time series price data and predict how it will affect future prices. One of these methodologies is forecasting, which interprets Open Text's price structures and extracts relationships that further increase the generated results' accuracy.
Simple Regression model is a single variable regression model that attempts to put a straight line through Open Text price points. This line is defined by its gradient or slope, and the point at which it intercepts the x-axis. Mathematically, assuming the independent variable is X and the dependent variable is Y, then this line can be represented as: Y = intercept + slope * X. Open Text Simple Regression Price Forecast For the 3rd of May
Given 90 days horizon, the Simple Regression forecasted value of Open Text Corp on the next trading day is expected to be 48.27 with a mean absolute deviation of 0.92, mean absolute percentage error of 1.33, and the sum of the absolute errors of 56.90.Please note that although there have been many attempts to predict Open 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 Open Text's next future price depends linearly on its previous prices and some stochastic term (i.e., imperfectly predictable multiplier).
Open Text Stock Forecast Pattern
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Open Text Forecasted Value
In the context of forecasting Open Text'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. Open Text's downside and upside margins for the forecasting period are 46.84 and 49.71, respectively. We have considered Open Text'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 Simple Regression forecasting method's relative quality and the estimations of the prediction error of Open Text stock data series using in forecasting. Note that when a statistical model is used to represent Open Text 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 | 120.2302 |
| Bias | Arithmetic mean of the errors | None |
| MAD | Mean absolute deviation | 0.9178 |
| MAPE | Mean absolute percentage error | 0.0178 |
| SAE | Sum of the absolute errors | 56.9008 |
Predictive Modules for Open Text
There are currently many different techniques concerning forecasting the market as a whole, as well as predicting future values of individual securities such as Open Text Corp. 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 Open Text'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 Open Text
For every potential investor in Open, whether a beginner or expert, Open Text's price movement is the inherent factor that sparks whether it is viable to invest in it or hold it better. Open Stock price charts are filled with many 'noises.' These noises can hugely alter the decision one can make regarding investing in Open. Basic forecasting techniques help filter out the noise by identifying Open Text's price trends.Open Text 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 Open Text stock to make a market-neutral strategy. Peer analysis of Open Text could also be used in its relative valuation, which is a method of valuing Open Text by comparing valuation metrics with similar companies.
| Risk & Return | Correlation |
Open Text Corp 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 Open Text'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 Open Text's current price.| Cycle Indicators | ||
| Math Operators | ||
| Math Transform | ||
| Momentum Indicators | ||
| Overlap Studies | ||
| Pattern Recognition | ||
| Price Transform | ||
| Statistic Functions | ||
| Volatility Indicators | ||
| Volume Indicators |
Open Text Market Strength Events
Market strength indicators help investors to evaluate how Open Text stock reacts to ongoing and evolving market conditions. The investors can use it to make informed decisions about market timing, and determine when trading Open Text shares will generate the highest return on investment. By undertsting and applying Open Text stock market strength indicators, traders can identify Open Text Corp entry and exit signals to maximize returns.
| Accumulation Distribution | 8553.42 | |||
| Daily Balance Of Power | 0.0517 | |||
| Rate Of Daily Change | 1.0 | |||
| Day Median Price | 48.73 | |||
| Day Typical Price | 48.71 | |||
| Price Action Indicator | (0.03) | |||
| Period Momentum Indicator | 0.06 |
Open Text Risk Indicators
The analysis of Open Text'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 Open Text's investment and either accepting that risk or mitigating it. Along with some essential techniques for forecasting open 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 | 1.09 | |||
| Standard Deviation | 1.42 | |||
| Variance | 2.02 |
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.
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 Open Text 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, Open Text's short interest history, or implied volatility extrapolated from Open Text options trading.
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Try AI Portfolio ArchitectCheck out Historical Fundamental Analysis of Open Text to cross-verify your projections. You can also try the Balance Of Power module to check stock momentum by analyzing Balance Of Power indicator and other technical ratios.
Complementary Tools for Open Stock analysis
When running Open Text's price analysis, check to measure Open Text'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 Open Text is operating at the current time. Most of Open Text's value examination focuses on studying past and present price action to predict the probability of Open Text's future price movements. You can analyze the entity against its peers and the financial market as a whole to determine factors that move Open Text's price. Additionally, you may evaluate how the addition of Open Text to your portfolios can decrease your overall portfolio volatility.
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