Power Integrations Stock Price Prediction
| POWI Stock | USD 62.22 1.32 2.17% |
Oversold Vs Overbought
45
Oversold | Overbought |
Quarterly Earnings Growth (0.27) | EPS Estimate Next Quarter 0.4 | EPS Estimate Current Year 1.1377 | EPS Estimate Next Year 1.516 | Wall Street Target Price 78 |
Using Power Integrations hype-based prediction, you can estimate the value of Power Integrations from the perspective of Power Integrations response to recently generated media hype and the effects of current headlines on its competitors. We also analyze overall investor sentiment towards Power Integrations using Power Integrations' stock options and short interest. It helps to benchmark the overall future attitude of investors towards Power using crowd psychology based on the activity and movement of Power Integrations' stock price.
Power Integrations Implied Volatility | 0.55 |
Power Integrations' implied volatility exposes the market's sentiment of Power Integrations stock's possible movements over time. However, it does not forecast the overall direction of its price. In a nutshell, if Power Integrations' 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 Power Integrations stock will not fluctuate a lot when Power Integrations' options are near their expiration.
The fear of missing out, i.e., FOMO, can cause potential investors in Power Integrations to buy its stock at a price that has no basis in reality. In that case, they are not buying Power 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.
Power Integrations after-hype prediction price | USD 62.22 |
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 Power contract
Based on the Rule 16, the options market is currently suggesting that Power Integrations will have an average daily up or down price movement of about 0.0344% per day over the life of the 2025-04-17 option contract. With Power Integrations trading at USD 62.22, that is roughly USD 0.0214 . If you think that the market is fully incorporating Power Integrations' daily price movement you should consider acquiring Power Integrations options at the current volatility level of 0.55%. But if you have an opposite viewpoint you should avoid it and even consider selling them.
Power |
Sophisticated investors, who have witnessed many market ups and downs, anticipate that the market will even out over time. This tendency of Power Integrations' 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.
Power Integrations After-Hype Price Prediction Density Analysis
As far as predicting the price of Power Integrations 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 Power Integrations 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 Power Integrations, with the unreliable approximations that try to describe financial returns.
Next price density |
| Expected price to next headline |
Power Integrations Estimiated After-Hype Price Volatility
In the context of predicting Power Integrations' stock value on the day after the next significant headline, we show statistically significant boundaries of downside and upside scenarios based on Power Integrations' historical news coverage. Power Integrations' after-hype downside and upside margins for the prediction period are 59.97 and 64.47, respectively. We have considered Power Integrations' 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
Power Integrations is very steady at this time. Analysis and calculation of next after-hype price of Power Integrations is based on 3 months time horizon.
Power Integrations Stock Price Prediction Analysis
Have you ever been surprised when a price of a Company such as Power Integrations is soaring high without any particular reason? This is usually happening because many institutional investors are aggressively trading Power Integrations 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 Power Integrations, 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 |
0.01 | 2.24 | 0.00 | 0.01 | 9 Events / Month | 5 Events / Month | In about 9 days |
| Latest traded price | Expected after-news price | Potential return on next major news | Average after-hype volatility | ||
62.22 | 62.22 | 0.00 |
|
Power Integrations Hype Timeline
Power Integrations is at this time traded for 62.22. The entity stock is not elastic to its hype. The average elasticity to hype of competition is 0.01. Power is anticipated not to react to the next headline, with the price staying at about the same level, and average media hype impact volatility is over 100%. The immediate return on the next news is anticipated to be very small, whereas the daily expected return is at this time at 0.01%. %. The volatility of related hype on Power Integrations is about 158.3%, with the expected price after the next announcement by competition of 62.23. About 99.0% of the company shares are owned by institutional investors. The book value of Power Integrations was at this time reported as 13.18. The company has Price/Earnings To Growth (PEG) ratio of 1.7. Power Integrations last dividend was issued on the 29th of November 2024. The entity had 2:1 split on the 19th of August 2020. Given the investment horizon of 90 days the next anticipated press release will be in about 9 days. Check out Power Integrations Basic Forecasting Models to cross-verify your projections.Power Integrations Related Hype Analysis
Having access to credible news sources related to Power Integrations' direct competition is more important than ever and may enhance your ability to predict Power Integrations' future price movements. Getting to know how Power Integrations' 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 Power Integrations may potentially react to the hype associated with one of its peers.
| HypeElasticity | NewsDensity | SemiDeviation | InformationRatio | PotentialUpside | ValueAt Risk | MaximumDrawdown | |||
| DIOD | Diodes Incorporated | 0.79 | 11 per month | 0.00 | (0.03) | 3.87 | (4.41) | 13.33 | |
| MTSI | MACOM Technology Solutions | 5.12 | 10 per month | 1.90 | 0.12 | 4.30 | (3.17) | 18.24 | |
| CRUS | Cirrus Logic | 1.25 | 11 per month | 0.00 | (0.16) | 2.32 | (4.01) | 8.68 | |
| AMKR | Amkor Technology | (0.13) | 11 per month | 0.00 | (0.14) | 3.20 | (4.44) | 7.97 | |
| SLAB | Silicon Laboratories | 4.20 | 10 per month | 2.48 | 0.08 | 5.45 | (4.19) | 15.52 | |
| MXL | MaxLinear | 0.86 | 10 per month | 3.43 | 0.19 | 7.78 | (5.86) | 18.39 | |
| LASR | nLIGHT Inc | (0.57) | 10 per month | 4.87 | 0.01 | 5.87 | (5.08) | 51.57 | |
| LSCC | Lattice Semiconductor | (0.20) | 9 per month | 2.62 | 0.06 | 5.11 | (4.15) | 12.76 |
Power Integrations Additional Predictive Modules
Most predictive techniques to examine Power price help traders to determine how to time the market. We provide a combination of tools to recognize potential entry and exit points for Power using various technical indicators. When you analyze Power 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 Power Integrations Predictive Indicators
The successful prediction of Power Integrations 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 Power Integrations, 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 Power Integrations based on analysis of Power Integrations hews, social hype, general headline patterns, and widely used predictive technical indicators.
We also calculate exposure to Power Integrations's market risk, different technical and fundamental indicators, relevant financial multiples and ratios, and then comparing them to Power Integrations's related companies. | 2022 | 2023 | 2024 | 2025 (projected) | Dividend Yield | 0.01 | 0.009371 | 0.008434 | 0.005414 | Price To Sales Ratio | 6.37 | 10.56 | 9.51 | 9.98 |
Story Coverage note for Power Integrations
The number of cover stories for Power Integrations depends on current market conditions and Power Integrations' risk-adjusted performance over time. The coverage that generates the most noise at a given time depends on the prevailing investment theme that Power Integrations 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 Power Integrations' 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
Power Integrations Short Properties
Power Integrations' future price predictability will typically decrease when Power Integrations' long traders begin to feel the short-sellers pressure to drive the price lower. The predictive aspect of Power Integrations often depends not only on the future outlook of the potential Power Integrations' 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. Power Integrations' indicators that are reflective of the short sentiment are summarized in the table below.
| Common Stock Shares Outstanding | 57.6 M | |
| Cash And Short Term Investments | 311.6 M |
Complementary Tools for Power Stock analysis
When running Power Integrations' price analysis, check to measure Power Integrations' 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 Power Integrations is operating at the current time. Most of Power Integrations' value examination focuses on studying past and present price action to predict the probability of Power Integrations' future price movements. You can analyze the entity against its peers and the financial market as a whole to determine factors that move Power Integrations' price. Additionally, you may evaluate how the addition of Power Integrations to your portfolios can decrease your overall portfolio volatility.
| Crypto Correlations Use cryptocurrency correlation module to diversify your cryptocurrency portfolio across multiple coins | |
| Price Ceiling Movement Calculate and plot Price Ceiling Movement for different equity instruments | |
| Insider Screener Find insiders across different sectors to evaluate their impact on performance | |
| Stock Tickers Use high-impact, comprehensive, and customizable stock tickers that can be easily integrated to any websites | |
| FinTech Suite Use AI to screen and filter profitable investment opportunities | |
| Theme Ratings Determine theme ratings based on digital equity recommendations. Macroaxis theme ratings are based on combination of fundamental analysis and risk-adjusted market performance | |
| Stocks Directory Find actively traded stocks across global markets | |
| Bond Analysis Evaluate and analyze corporate bonds as a potential investment for your portfolios. | |
| Watchlist Optimization Optimize watchlists to build efficient portfolios or rebalance existing positions based on the mean-variance optimization algorithm |