Amphenol Stock Price Prediction
| APH Stock | USD 70.78 0.88 1.23% |
Oversold Vs Overbought
44
Oversold | Overbought |
Quarterly Earnings Growth 0.171 | EPS Estimate Next Quarter 0.4772 | EPS Estimate Current Year 2.2792 | EPS Estimate Next Year 2.5345 | Wall Street Target Price 84.0824 |
Using Amphenol hype-based prediction, you can estimate the value of Amphenol from the perspective of Amphenol response to recently generated media hype and the effects of current headlines on its competitors. We also analyze overall investor sentiment towards Amphenol using Amphenol's stock options and short interest. It helps to benchmark the overall future attitude of investors towards Amphenol using crowd psychology based on the activity and movement of Amphenol's stock price.
Amphenol Short Interest
A significant increase or decrease in Amphenol's short interest from the previous month could be a good indicator of investor sentiment towards Amphenol. Short interest can provide insight into the potential direction of Amphenol stock and how bullish or bearish investors feel about the market overall.
200 Day MA 66.9245 | Short Percent 0.0133 | Short Ratio 2.36 | Shares Short Prior Month 15 M | 50 Day MA 71.9634 |
Amphenol Hype to Price Pattern
Investor biases related to Amphenol's public news can be used to forecast risks associated with an investment in Amphenol. The trend in average sentiment can be used to explain how an investor holding Amphenol can time the market purely based on public headlines and social activities around Amphenol. 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 Amphenol's market sentiment to its price can help taders to make decisions based on the overall investors consensus about Amphenol.
Amphenol Implied Volatility | 0.45 |
Amphenol's implied volatility exposes the market's sentiment of Amphenol stock's possible movements over time. However, it does not forecast the overall direction of its price. In a nutshell, if Amphenol's implied volatility is high, the market thinks the stock has potential for high price swings in either direction. On the other hand, the low implied volatility suggests that Amphenol stock will not fluctuate a lot when Amphenol's options are near their expiration.
The fear of missing out, i.e., FOMO, can cause potential investors in Amphenol to buy its stock at a price that has no basis in reality. In that case, they are not buying Amphenol 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.
Amphenol after-hype prediction price | USD 70.78 |
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.
Prediction based on Rule 16 of the current Amphenol contract
Based on the Rule 16, the options market is currently suggesting that Amphenol will have an average daily up or down price movement of about 0.0281% per day over the life of the 2025-04-17 option contract. With Amphenol trading at USD 70.78, that is roughly USD 0.0199 . If you think that the market is fully incorporating Amphenol's daily price movement you should consider acquiring Amphenol options at the current volatility level of 0.45%. But if you have an opposite viewpoint you should avoid it and even consider selling them.
Amphenol |
Amphenol After-Hype Price Prediction Density Analysis
As far as predicting the price of Amphenol 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 Amphenol 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 Amphenol, with the unreliable approximations that try to describe financial returns.
Next price density |
| Expected price to next headline |
Amphenol Estimiated After-Hype Price Volatility
In the context of predicting Amphenol's stock value on the day after the next significant headline, we show statistically significant boundaries of downside and upside scenarios based on Amphenol's historical news coverage. Amphenol's after-hype downside and upside margins for the prediction period are 68.24 and 73.32, respectively. We have considered Amphenol'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
Amphenol is very steady at this time. Analysis and calculation of next after-hype price of Amphenol is based on 3 months time horizon.
Amphenol Stock Price Prediction Analysis
Have you ever been surprised when a price of a Company such as Amphenol is soaring high without any particular reason? This is usually happening because many institutional investors are aggressively trading Amphenol 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 Amphenol, 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 |
0.10 | 2.54 | 0.13 | 0.11 | 11 Events / Month | 10 Events / Month | In about 11 days |
| Latest traded price | Expected after-news price | Potential return on next major news | Average after-hype volatility | ||
70.78 | 70.78 | 0.00 |
|
Amphenol Hype Timeline
On the 1st of February Amphenol is traded for 70.78. The entity has historical hype elasticity of 0.13, and average elasticity to hype of competition of 0.11. Amphenol is projected not to react to the next headline, with the price staying at about the same level, and average media hype impact volatility is about 188.15%. The immediate return on the next news is projected to be very small, whereas the daily expected return is presently at 0.1%. %. The volatility of related hype on Amphenol is about 231.44%, with the expected price after the next announcement by competition of 70.89. 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 2.51. Amphenol last dividend was issued on the 17th of December 2024. The entity had 2:1 split on the 12th of June 2024. Considering the 90-day investment horizon the next projected press release will be in about 11 days. Check out Amphenol Basic Forecasting Models to cross-verify your projections.Amphenol Related Hype Analysis
Having access to credible news sources related to Amphenol's direct competition is more important than ever and may enhance your ability to predict Amphenol's future price movements. Getting to know how Amphenol'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 Amphenol may potentially react to the hype associated with one of its peers.
| HypeElasticity | NewsDensity | SemiDeviation | InformationRatio | PotentialUpside | ValueAt Risk | MaximumDrawdown | |||
| LFUS | Littelfuse | 8.50 | 9 per month | 0.00 | (0.09) | 3.14 | (2.64) | 7.89 | |
| TTMI | TTM Technologies | (0.14) | 9 per month | 1.94 | 0.11 | 3.33 | (3.22) | 21.64 | |
| FN | Fabrinet | (1.86) | 10 per month | 0.00 | (0.04) | 6.01 | (4.46) | 29.08 | |
| PLXS | Plexus Corp | (1.95) | 11 per month | 2.40 | (0.02) | 2.30 | (2.93) | 20.07 | |
| SANM | Sanmina | (1.65) | 12 per month | 1.44 | 0.12 | 2.50 | (2.37) | 19.29 | |
| MEI | Methode Electronics | (0.05) | 9 per month | 3.38 | 0.08 | 7.70 | (5.67) | 29.97 | |
| OSIS | OSI Systems | 3.37 | 9 per month | 1.47 | 0.20 | 3.70 | (3.17) | 17.36 | |
| VICR | Vicor | (2.42) | 9 per month | 4.16 | 0.04 | 8.42 | (4.87) | 30.06 | |
| JBL | Jabil Circuit | 5.66 | 10 per month | 1.43 | 0.17 | 3.72 | (1.93) | 15.23 | |
| FLEX | Flex | (0.18) | 10 per month | 2.52 | 0.08 | 4.33 | (2.77) | 19.36 | |
| CLS | Celestica | 4.17 | 10 per month | 5.51 | 0.19 | 8.15 | (4.05) | 37.21 | |
| BHE | Benchmark Electronics | (0.28) | 6 per month | 0.00 | (0.05) | 3.00 | (3.23) | 18.05 |
Amphenol Additional Predictive Modules
Most predictive techniques to examine Amphenol price help traders to determine how to time the market. We provide a combination of tools to recognize potential entry and exit points for Amphenol using various technical indicators. When you analyze Amphenol 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 Amphenol Predictive Indicators
The successful prediction of Amphenol 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 Amphenol, 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 Amphenol based on analysis of Amphenol hews, social hype, general headline patterns, and widely used predictive technical indicators.
We also calculate exposure to Amphenol's market risk, different technical and fundamental indicators, relevant financial multiples and ratios, and then comparing them to Amphenol's related companies. | 2022 | 2023 | 2024 | 2025 (projected) | PTB Ratio | 6.47 | 7.09 | 6.38 | 4.86 | Price To Sales Ratio | 3.6 | 4.71 | 5.49 | 5.77 |
Story Coverage note for Amphenol
The number of cover stories for Amphenol depends on current market conditions and Amphenol's risk-adjusted performance over time. The coverage that generates the most noise at a given time depends on the prevailing investment theme that Amphenol 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 Amphenol's long-term prospects. So, having above-average coverage will typically attract above-average short interest, leading to significant price volatility.
Contributor Headline
Latest Perspective From Macroaxis
Amphenol Short Properties
Amphenol's future price predictability will typically decrease when Amphenol's long traders begin to feel the short-sellers pressure to drive the price lower. The predictive aspect of Amphenol often depends not only on the future outlook of the potential Amphenol'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. Amphenol's indicators that are reflective of the short sentiment are summarized in the table below.
| Common Stock Shares Outstanding | 1.3 B |
Complementary Tools for Amphenol Stock analysis
When running Amphenol's price analysis, check to measure Amphenol'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 Amphenol is operating at the current time. Most of Amphenol's value examination focuses on studying past and present price action to predict the probability of Amphenol's future price movements. You can analyze the entity against its peers and the financial market as a whole to determine factors that move Amphenol's price. Additionally, you may evaluate how the addition of Amphenol to your portfolios can decrease your overall portfolio volatility.
| Bollinger Bands Use Bollinger Bands indicator to analyze target price for a given investing horizon | |
| Equity Forecasting Use basic forecasting models to generate price predictions and determine price momentum | |
| Sign In To Macroaxis Sign in to explore Macroaxis' wealth optimization platform and fintech modules | |
| Volatility Analysis Get historical volatility and risk analysis based on latest market data | |
| Sync Your Broker Sync your existing holdings, watchlists, positions or portfolios from thousands of online brokerage services, banks, investment account aggregators and robo-advisors. | |
| Investing Opportunities Build portfolios using our predefined set of ideas and optimize them against your investing preferences | |
| USA ETFs Find actively traded Exchange Traded Funds (ETF) in USA | |
| Transaction History View history of all your transactions and understand their impact on performance | |
| Commodity Directory Find actively traded commodities issued by global exchanges |