Air Products Stock Forward View - Simple Regression
| AP3 Stock | EUR 242.70 8.10 3.45% |
Air Stock outlook is based on your current time horizon. We suggest always using this module together with an analysis of Air Products' historical fundamentals, such as revenue growth or operating cash flow patterns.
As of 6th of February 2026 the relative strength index (rsi) of Air Products' share price is below 20 . This suggests that the stock is significantly oversold. The fundamental principle of the Relative Strength Index (RSI) is to quantify the velocity at which market participants are driving the price of a financial instrument upwards or downwards. Momentum 0
Sell Peaked
Oversold | Overbought |
Quarterly Earnings Growth 0.097 | Wall Street Target Price 310.77 | Quarterly Revenue Growth 0.058 |
Using Air Products hype-based prediction, you can estimate the value of Air Products and from the perspective of Air Products response to recently generated media hype and the effects of current headlines on its competitors.
The Simple Regression forecasted value of Air Products and on the next trading day is expected to be 223.47 with a mean absolute deviation of 7.58 and the sum of the absolute errors of 470.07. Air Products after-hype prediction price | EUR 242.52 |
There is no one specific way to measure market sentiment using hype analysis or a similar predictive technique. This prediction method should be used in combination with more fundamental and traditional techniques such as stock price forecasting, technical analysis, analysts consensus, earnings estimates, and various momentum models.
Air |
Air Products Additional Predictive Modules
Most predictive techniques to examine Air price help traders to determine how to time the market. We provide a combination of tools to recognize potential entry and exit points for Air using various technical indicators. When you analyze Air 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 |
Air Products Simple Regression Price Forecast For the 7th of February
Given 90 days horizon, the Simple Regression forecasted value of Air Products and on the next trading day is expected to be 223.47 with a mean absolute deviation of 7.58, mean absolute percentage error of 81.79, and the sum of the absolute errors of 470.07.Please note that although there have been many attempts to predict Air Stock prices using its time series forecasting, we generally do not suggest using it to place bets in the real market. The most commonly used models for forecasting predictions are the autoregressive models, which specify that Air Products' next future price depends linearly on its previous prices and some stochastic term (i.e., imperfectly predictable multiplier).
Air Products Stock Forecast Pattern
| Backtest Air Products | Air Products Price Prediction | Research Analysis |
Air Products Forecasted Value
In the context of forecasting Air Products' 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. Air Products' downside and upside margins for the forecasting period are 221.27 and 225.67, respectively. We have considered Air Products' 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 Air Products stock data series using in forecasting. Note that when a statistical model is used to represent Air Products 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 | 124.3525 |
| Bias | Arithmetic mean of the errors | None |
| MAD | Mean absolute deviation | 7.5818 |
| MAPE | Mean absolute percentage error | 0.035 |
| SAE | Sum of the absolute errors | 470.0685 |
Predictive Modules for Air Products
There are currently many different techniques concerning forecasting the market as a whole, as well as predicting future values of individual securities such as Air Products. 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.Air Products After-Hype Price Density Analysis
As far as predicting the price of Air Products at your current risk attitude, this probability distribution graph shows the chance that the prediction will fall between or within a specific range. We use this chart to confirm that your returns on investing in Air Products or, for that matter, your successful expectations of its future price, cannot be replicated consistently. Please note, a large amount of money has been lost over the years by many investors who confused the symmetrical distributions of Stock prices, such as prices of Air Products, with the unreliable approximations that try to describe financial returns.
Next price density |
| Expected price to next headline |
Air Products Estimiated After-Hype Price Volatility
In the context of predicting Air Products' stock value on the day after the next significant headline, we show statistically significant boundaries of downside and upside scenarios based on Air Products' historical news coverage. Air Products' after-hype downside and upside margins for the prediction period are 240.32 and 244.72, respectively. We have considered Air Products' daily market price in relation to the headlines to evaluate this method's predictive performance. Remember, however, there is no scientific proof or empirical evidence that news-based prediction models compare with traditional linear, nonlinear models or artificial intelligence models to provide accurate predictions consistently.
Current Value
Air Products is very steady at this time. Analysis and calculation of next after-hype price of Air Products is based on 3 months time horizon.
Air Products Stock Price Outlook Analysis
Have you ever been surprised when a price of a Company such as Air Products is soaring high without any particular reason? This is usually happening because many institutional investors are aggressively trading Air Products backward and forwards among themselves. Have you ever observed a lot of a particular company's price movement is driven by press releases or news about the company that has nothing to do with actual earnings? Usually, hype to individual companies acts as price momentum. If not enough favorable publicity is forthcoming, the Stock price eventually runs out of speed. So, the rule of thumb here is that as long as this news hype has nothing to do with immediate earnings, you should pay more attention to it. If you see this tendency with Air Products, there might be something going there, and it might present an excellent short sale opportunity.
| Expected Return | Period Volatility | Hype Elasticity | Related Elasticity | News Density | Related Density | Expected Hype |
0.16 | 2.20 | 0.18 | 0.05 | 8 Events / Month | 1 Events / Month | In about 8 days |
| Latest traded price | Expected after-news price | Potential return on next major news | Average after-hype volatility | |
242.70 | 242.52 | 0.07 |
|
Air Products Hype Timeline
Air Products is presently traded for 242.70on Frankfurt Exchange of Germany. The entity has historical hype elasticity of -0.18, and average elasticity to hype of competition of 0.05. Air is estimated to decline in value after the next headline, with the price expected to drop to 242.52. The average volatility of media hype impact on the company price is about 200.0%. The price reduction on the next news is expected to be -0.07%, whereas the daily expected return is presently at 0.16%. The volatility of related hype on Air Products is about 733.33%, with the expected price after the next announcement by competition of 242.75. About 95.0% of the company shares are held by institutions such as insurance companies. The book value of Air Products was presently reported as 58.65. The company recorded a loss per share of 1.24. Air Products last dividend was issued on the 1st of April 2026. Assuming the 90 days horizon the next estimated press release will be in about 8 days. Check out Historical Fundamental Analysis of Air Products to cross-verify your projections.Air Products Related Hype Analysis
Having access to credible news sources related to Air Products' direct competition is more important than ever and may enhance your ability to predict Air Products' future price movements. Getting to know how Air Products' peers react to changing market sentiment, related social signals, and mainstream news is a great way to find investing opportunities and time the market. The summary table below summarizes the essential lagging indicators that can help you analyze how Air Products may potentially react to the hype associated with one of its peers.
| HypeElasticity | NewsDensity | SemiDeviation | InformationRatio | PotentialUpside | ValueAt Risk | MaximumDrawdown | |||
| ARW | ARROW ELECTRONICS | 1.50 | 7 per month | 1.69 | 0.12 | 2.80 | (3.16) | 7.70 | |
| 85S | Science Applications International | 0.49 | 10 per month | 2.00 | 0.03 | 4.53 | (3.97) | 22.13 | |
| LPK | LPKF Laser Electronics | (0.14) | 1 per month | 2.11 | 0.04 | 6.29 | (3.03) | 13.34 | |
| 312 | Elma Electronic AG | 0.00 | 2 per month | 0.33 | 0.01 | 1.46 | (0.75) | 2.23 | |
| 3MJ | Major Drilling Group | 0.25 | 8 per month | 2.68 | 0.08 | 5.59 | (4.32) | 17.02 | |
| UMCB | United Microelectronics Corp | 0.00 | 8 per month | 2.88 | 0.11 | 7.39 | (3.97) | 23.20 | |
| BJI | DATANG INTL POW | 0.00 | 0 per month | 1.89 | 0.04 | 4.17 | (4.00) | 26.18 |
Other Forecasting Options for Air Products
For every potential investor in Air, whether a beginner or expert, Air Products' price movement is the inherent factor that sparks whether it is viable to invest in it or hold it better. Air Stock price charts are filled with many 'noises.' These noises can hugely alter the decision one can make regarding investing in Air. Basic forecasting techniques help filter out the noise by identifying Air Products' price trends.Air Products 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 Air Products stock to make a market-neutral strategy. Peer analysis of Air Products could also be used in its relative valuation, which is a method of valuing Air Products by comparing valuation metrics with similar companies.
| Risk & Return | Correlation |
Air Products Market Strength Events
Market strength indicators help investors to evaluate how Air Products stock reacts to ongoing and evolving market conditions. The investors can use it to make informed decisions about market timing, and determine when trading Air Products shares will generate the highest return on investment. By undertsting and applying Air Products stock market strength indicators, traders can identify Air Products and entry and exit signals to maximize returns.
Air Products Risk Indicators
The analysis of Air Products' 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 Air Products' investment and either accepting that risk or mitigating it. Along with some essential techniques for forecasting air 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 | 1.44 | |||
| Semi Deviation | 1.95 | |||
| Standard Deviation | 2.23 | |||
| Variance | 4.97 | |||
| Downside Variance | 4.58 | |||
| Semi Variance | 3.8 | |||
| Expected Short fall | (1.65) |
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.
Story Coverage note for Air Products
The number of cover stories for Air Products depends on current market conditions and Air Products' risk-adjusted performance over time. The coverage that generates the most noise at a given time depends on the prevailing investment theme that Air Products is classified under. However, while its typical story may have numerous social followers, the rapid visibility can also attract short-sellers, who usually are skeptical about Air Products' long-term prospects. So, having above-average coverage will typically attract above-average short interest, leading to significant price volatility.
Other Macroaxis Stories
Our audience includes start-ups and big corporations as well as marketing, public relation firms, and advertising agencies, including technology and finance journalists. Our platform and its news and story outlet are popular among finance students, amateur traders, self-guided investors, entrepreneurs, retirees and baby boomers, academic researchers, financial advisers, as well as professional money managers - a very diverse and influential demographic landscape united by one goal - build optimal investment portfolios
Story Categories
Currently Trending Categories
Check out Historical Fundamental Analysis of Air Products to cross-verify your projections. You can also try the Crypto Correlations module to use cryptocurrency correlation module to diversify your cryptocurrency portfolio across multiple coins.