Powerfleet Stock Price Prediction
| AIOT Stock | 5.60 0.09 1.63% |
Momentum 58
Buy Extended
Oversold | Overbought |
EPS Estimate Next Quarter 0.105 | EPS Estimate Current Year 0.11 | EPS Estimate Next Year 0.3175 | Wall Street Target Price 10.6667 | EPS Estimate Current Quarter 0.065 |
Using PowerFleet hype-based prediction, you can estimate the value of PowerFleet from the perspective of PowerFleet response to recently generated media hype and the effects of current headlines on its competitors. We also analyze overall investor sentiment towards PowerFleet using PowerFleet's stock options and short interest. It helps to benchmark the overall future attitude of investors towards PowerFleet using crowd psychology based on the activity and movement of PowerFleet's stock price.
PowerFleet Short Interest
An investor who is long PowerFleet may also wish to track short interest. As short interest increases, investors should be becoming more worried about PowerFleet and may potentially protect profits, hedge PowerFleet with its derivative instruments, or be ready for some potential downside.
200 Day MA 4.9256 | Short Percent 0.1162 | Short Ratio 11.74 | Shares Short Prior Month 14.3 M | 50 Day MA 5.0918 |
PowerFleet Hype to Price Pattern
Investor biases related to PowerFleet's public news can be used to forecast risks associated with an investment in PowerFleet. The trend in average sentiment can be used to explain how an investor holding PowerFleet can time the market purely based on public headlines and social activities around PowerFleet. 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 PowerFleet's market sentiment to its price can help taders to make decisions based on the overall investors consensus about PowerFleet.
PowerFleet Implied Volatility | 0.98 |
PowerFleet's implied volatility exposes the market's sentiment of PowerFleet stock's possible movements over time. However, it does not forecast the overall direction of its price. In a nutshell, if PowerFleet'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 PowerFleet stock will not fluctuate a lot when PowerFleet's options are near their expiration.
The fear of missing out, i.e., FOMO, can cause potential investors in PowerFleet to buy its stock at a price that has no basis in reality. In that case, they are not buying PowerFleet 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.
PowerFleet after-hype prediction price | USD 5.6 |
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.
PowerFleet | Build AI portfolio with PowerFleet Stock |
PowerFleet After-Hype Price Prediction Density Analysis
As far as predicting the price of PowerFleet 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 PowerFleet 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 PowerFleet, with the unreliable approximations that try to describe financial returns.
Next price density |
| Expected price to next headline |
PowerFleet Estimiated After-Hype Price Volatility
In the context of predicting PowerFleet's stock value on the day after the next significant headline, we show statistically significant boundaries of downside and upside scenarios based on PowerFleet's historical news coverage. PowerFleet's after-hype downside and upside margins for the prediction period are 2.79 and 8.41, respectively. We have considered PowerFleet'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
PowerFleet is slightly risky at this time. Analysis and calculation of next after-hype price of PowerFleet is based on 3 months time horizon.
PowerFleet Stock Price Prediction Analysis
Have you ever been surprised when a price of a Company such as PowerFleet is soaring high without any particular reason? This is usually happening because many institutional investors are aggressively trading PowerFleet 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 PowerFleet, 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 |
0.08 | 2.83 | 0.00 | 0.02 | 7 Events / Month | 6 Events / Month | In about 7 days |
| Latest traded price | Expected after-news price | Potential return on next major news | Average after-hype volatility | ||
5.60 | 5.60 | 0.00 |
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PowerFleet Hype Timeline
PowerFleet is presently traded for 5.60. The entity stock is not elastic to its hype. The average elasticity to hype of competition is 0.02. PowerFleet is estimated 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 estimated to be very small, whereas the daily expected return is presently at 0.08%. %. The volatility of related hype on PowerFleet is about 979.24%, with the expected price after the next announcement by competition of 5.62. About 88.0% of the company shares are held by institutions such as insurance companies. The company has price-to-book (P/B) ratio of 1.57. Some equities with similar Price to Book (P/B) outperform the market in the long run. PowerFleet has Price/Earnings To Growth (PEG) ratio of 0.76. The entity recorded a loss per share of 0.31. The firm had not issued any dividends in recent years. Given the investment horizon of 90 days the next estimated press release will be in about 7 days. Check out PowerFleet Basic Forecasting Models to cross-verify your projections.PowerFleet Related Hype Analysis
Having access to credible news sources related to PowerFleet's direct competition is more important than ever and may enhance your ability to predict PowerFleet's future price movements. Getting to know how PowerFleet'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 PowerFleet may potentially react to the hype associated with one of its peers.
| HypeElasticity | NewsDensity | SemiDeviation | InformationRatio | PotentialUpside | ValueAt Risk | MaximumDrawdown | |||
| ITRN | Ituran Location and | 0.40 | 6 per month | 0.94 | 0.15 | 4.15 | (1.79) | 8.15 | |
| APPS | Digital Turbine | 0.13 | 14 per month | 0.00 | (0.1) | 6.20 | (7.68) | 37.27 | |
| ADTN | ADTRAN Inc | (0.27) | 4 per month | 4.83 | (0) | 4.76 | (4.26) | 30.13 | |
| BKSY | Blacksky Technology | 0.78 | 9 per month | 6.90 | (0.01) | 9.42 | (11.45) | 23.64 | |
| PSFE | Paysafe | (0.03) | 6 per month | 0.00 | (0.13) | 4.01 | (5.16) | 31.41 | |
| YMM | Full Truck Alliance | 0.13 | 3 per month | 0.00 | (0.14) | 3.66 | (7.43) | 16.94 | |
| LYTS | LSI Industries | 0.06 | 6 per month | 0.00 | (0.12) | 2.56 | (3.41) | 13.78 | |
| RSKD | Riskified | 0.13 | 9 per month | 2.16 | 0 | 3.73 | (2.66) | 13.98 | |
| GILT | Gilat Satellite Networks | 0.00 | 0 per month | 2.92 | 0.08 | 6.71 | (4.56) | 15.78 | |
| ARQQ | Arqit Quantum | 1.56 | 9 per month | 0.00 | (0.12) | 11.26 | (10.64) | 46.11 |
PowerFleet Additional Predictive Modules
Most predictive techniques to examine PowerFleet price help traders to determine how to time the market. We provide a combination of tools to recognize potential entry and exit points for PowerFleet using various technical indicators. When you analyze PowerFleet 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 PowerFleet Predictive Indicators
The successful prediction of PowerFleet 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 PowerFleet, 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 PowerFleet based on analysis of PowerFleet hews, social hype, general headline patterns, and widely used predictive technical indicators.
We also calculate exposure to PowerFleet's market risk, different technical and fundamental indicators, relevant financial multiples and ratios, and then comparing them to PowerFleet's related companies. | 2024 | 2025 | 2026 (projected) | Dividend Yield | 0.14 | 0.12 | 0.13 | Price To Sales Ratio | 1.82 | 2.09 | 1.98 |
Story Coverage note for PowerFleet
The number of cover stories for PowerFleet depends on current market conditions and PowerFleet's risk-adjusted performance over time. The coverage that generates the most noise at a given time depends on the prevailing investment theme that PowerFleet 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 PowerFleet'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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PowerFleet Short Properties
PowerFleet's future price predictability will typically decrease when PowerFleet's long traders begin to feel the short-sellers pressure to drive the price lower. The predictive aspect of PowerFleet often depends not only on the future outlook of the potential PowerFleet'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. PowerFleet's indicators that are reflective of the short sentiment are summarized in the table below.
| Common Stock Shares Outstanding | 119.9 M | |
| Cash And Short Term Investments | 48.8 M |
Additional Tools for PowerFleet Stock Analysis
When running PowerFleet's price analysis, check to measure PowerFleet'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 PowerFleet is operating at the current time. Most of PowerFleet's value examination focuses on studying past and present price action to predict the probability of PowerFleet's future price movements. You can analyze the entity against its peers and the financial market as a whole to determine factors that move PowerFleet's price. Additionally, you may evaluate how the addition of PowerFleet to your portfolios can decrease your overall portfolio volatility.