Applied Industrial Technologies Stock Price Prediction
AIT Stock | USD 274.72 0.82 0.30% |
Oversold Vs Overbought
70
Oversold | Overbought |
Quarterly Earnings Growth (0.01) | EPS Estimate Next Quarter 2.2 | EPS Estimate Current Year 9.71 | EPS Estimate Next Year 10.1 | Wall Street Target Price 278.5714 |
Using Applied Industrial hype-based prediction, you can estimate the value of Applied Industrial Technologies from the perspective of Applied Industrial response to recently generated media hype and the effects of current headlines on its competitors.
Applied Industrial Hype to Price Pattern
Investor biases related to Applied Industrial's public news can be used to forecast risks associated with an investment in Applied. The trend in average sentiment can be used to explain how an investor holding Applied can time the market purely based on public headlines and social activities around Applied Industrial Technologies. Please note that most equities that are difficult to arbitrage are affected by market sentiment the most.
Some investors profit by finding stocks that are overvalued or undervalued based on market sentiment. The correlation of Applied Industrial's market sentiment to its price can help taders to make decisions based on the overall investors consensus about Applied Industrial.
The fear of missing out, i.e., FOMO, can cause potential investors in Applied Industrial to buy its stock at a price that has no basis in reality. In that case, they are not buying Applied because the equity is a good investment, but because they need to do something to avoid the feeling of missing out. On the other hand, investors will often sell stocks at prices well below their value during bear markets because they need to stop feeling the pain of losing money.
Applied Industrial after-hype prediction price | USD 273.59 |
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.
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Applied Industrial After-Hype Price Prediction Density Analysis
As far as predicting the price of Applied Industrial 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 Applied Industrial 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 Applied Industrial, with the unreliable approximations that try to describe financial returns.
Next price density |
Expected price to next headline |
Applied Industrial Estimiated After-Hype Price Volatility
In the context of predicting Applied Industrial's stock value on the day after the next significant headline, we show statistically significant boundaries of downside and upside scenarios based on Applied Industrial's historical news coverage. Applied Industrial's after-hype downside and upside margins for the prediction period are 271.38 and 275.80, respectively. We have considered Applied Industrial's 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 outperform traditional linear, nonlinear models or artificial intelligence models to provide accurate predictions consistently.
Current Value
Applied Industrial is very steady at this time. Analysis and calculation of next after-hype price of Applied Industrial is based on 3 months time horizon.
Applied Industrial Stock Price Prediction Analysis
Have you ever been surprised when a price of a Company such as Applied Industrial is soaring high without any particular reason? This is usually happening because many institutional investors are aggressively trading Applied Industrial 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 Applied Industrial, 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 |
0.53 | 2.21 | 1.13 | 0.03 | 8 Events / Month | 8 Events / Month | In about 8 days |
Latest traded price | Expected after-news price | Potential return on next major news | Average after-hype volatility | ||
274.72 | 273.59 | 0.41 |
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Applied Industrial Hype Timeline
On the 1st of December Applied Industrial is traded for 274.72. The entity has historical hype elasticity of -1.13, and average elasticity to hype of competition of 0.03. Applied is forecasted to decline in value after the next headline, with the price expected to drop to 273.59. The average volatility of media hype impact on the company price is about 103.76%. The price depreciation on the next news is expected to be -0.41%, whereas the daily expected return is presently at 0.53%. The volatility of related hype on Applied Industrial is about 3564.52%, with the expected price after the next announcement by competition of 274.75. About 95.0% of the company shares are held by institutions such as insurance companies. The company has Price/Earnings To Growth (PEG) ratio of 2.88. Applied Industrial recorded earning per share (EPS) of 9.81. The entity last dividend was issued on the 15th of November 2024. The firm had 3:2 split on the 16th of June 2006. Considering the 90-day investment horizon the next forecasted press release will be in about 8 days. Check out Applied Industrial Basic Forecasting Models to cross-verify your projections.Applied Industrial Related Hype Analysis
Having access to credible news sources related to Applied Industrial's direct competition is more important than ever and may enhance your ability to predict Applied Industrial's future price movements. Getting to know how Applied Industrial's 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 Applied Industrial may potentially react to the hype associated with one of its peers.
HypeElasticity | NewsDensity | SemiDeviation | InformationRatio | PotentialUpside | ValueAt Risk | MaximumDrawdown | |||
OIS | Oil States International | 0.07 | 9 per month | 2.73 | (0) | 5.26 | (4.37) | 15.23 | |
OII | Oceaneering International | (0.62) | 10 per month | 2.47 | 0.02 | 4.23 | (4.07) | 15.31 | |
GEOS | Geospace Technologies | (0.19) | 7 per month | 4.08 | 0 | 4.68 | (4.18) | 27.12 | |
NR | Newpark Resources | 0.34 | 8 per month | 2.13 | (0.03) | 3.73 | (3.89) | 13.55 | |
EFXT | Enerflex | 0.07 | 9 per month | 1.22 | 0.29 | 4.56 | (2.72) | 8.19 | |
VTOL | Bristow Group | (0.04) | 7 per month | 2.17 | (0.05) | 2.89 | (2.86) | 12.05 | |
FET | Forum Energy Technologies | 1.13 | 6 per month | 0.00 | (0.16) | 3.52 | (3.31) | 11.03 | |
FTI | TechnipFMC PLC | (0.11) | 9 per month | 2.23 | 0.06 | 3.52 | (3.50) | 9.70 | |
CHX | ChampionX | 0.32 | 7 per month | 1.78 | (0.06) | 2.87 | (3.32) | 11.10 | |
BKR | Baker Hughes Co | (0.35) | 9 per month | 1.01 | 0.12 | 3.36 | (1.58) | 12.36 |
Applied Industrial Additional Predictive Modules
Most predictive techniques to examine Applied price help traders to determine how to time the market. We provide a combination of tools to recognize potential entry and exit points for Applied using various technical indicators. When you analyze Applied 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 Applied Industrial Predictive Indicators
The successful prediction of Applied Industrial stock price could yield a significant profit to investors. But is it possible? The efficient-market hypothesis suggests that all published stock prices of traded companies, such as Applied Industrial Technologies, already reflect all publicly available information. This academic statement is a fundamental principle of many financial and investing theories used today. However, the typical investor usually disagrees with a 'textbook' version of this hypothesis and continually tries to find mispriced stocks to increase returns. We use internally-developed statistical techniques to arrive at the intrinsic value of Applied Industrial based on analysis of Applied Industrial hews, social hype, general headline patterns, and widely used predictive technical indicators.
We also calculate exposure to Applied Industrial's market risk, different technical and fundamental indicators, relevant financial multiples and ratios, and then comparing them to Applied Industrial's related companies. 2021 | 2022 | 2023 | 2024 (projected) | Dividend Yield | 0.014 | 0.009562 | 0.007595 | 0.007215 | Price To Sales Ratio | 0.97 | 1.27 | 1.64 | 1.72 |
Story Coverage note for Applied Industrial
The number of cover stories for Applied Industrial depends on current market conditions and Applied Industrial's risk-adjusted performance over time. The coverage that generates the most noise at a given time depends on the prevailing investment theme that Applied Industrial 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 Applied Industrial's long-term prospects. So, having above-average coverage will typically attract above-average short interest, leading to significant price volatility.
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Applied Industrial Short Properties
Applied Industrial's future price predictability will typically decrease when Applied Industrial's long traders begin to feel the short-sellers pressure to drive the price lower. The predictive aspect of Applied Industrial Technologies often depends not only on the future outlook of the potential Applied Industrial's investors but also on the ongoing dynamics between investors with different trading styles. Because the market risk indicators may have small false signals, it is better to identify suitable times to hedge a portfolio using different long/short signals. Applied Industrial's indicators that are reflective of the short sentiment are summarized in the table below.
Common Stock Shares Outstanding | 39.3 M | |
Cash And Short Term Investments | 460.6 M |
Additional Tools for Applied Stock Analysis
When running Applied Industrial's price analysis, check to measure Applied Industrial'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 Applied Industrial is operating at the current time. Most of Applied Industrial's value examination focuses on studying past and present price action to predict the probability of Applied Industrial's future price movements. You can analyze the entity against its peers and the financial market as a whole to determine factors that move Applied Industrial's price. Additionally, you may evaluate how the addition of Applied Industrial to your portfolios can decrease your overall portfolio volatility.