Greenpower Motor Stock Price Patterns
| GP Stock | USD 0.93 0.03 3.33% |
Momentum 56
Buy Extended
Oversold | Overbought |
EPS Estimate Next Quarter (0.14) | EPS Estimate Current Year (0.56) | Wall Street Target Price 1.5 | Quarterly Revenue Growth (0.53) |
Using GreenPower hype-based prediction, you can estimate the value of GreenPower Motor from the perspective of GreenPower response to recently generated media hype and the effects of current headlines on its competitors. We also analyze overall investor sentiment towards GreenPower using GreenPower's stock options and short interest. It helps to benchmark the overall future attitude of investors towards GreenPower using crowd psychology based on the activity and movement of GreenPower's stock price.
GreenPower Implied Volatility | 0.0 |
GreenPower's implied volatility exposes the market's sentiment of GreenPower Motor stock's possible movements over time. However, it does not forecast the overall direction of its price. In a nutshell, if GreenPower'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 GreenPower stock will not fluctuate a lot when GreenPower's options are near their expiration.
The fear of missing out, i.e., FOMO, can cause potential investors in GreenPower to buy its stock at a price that has no basis in reality. In that case, they are not buying GreenPower 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.
GreenPower after-hype prediction price | USD 0.93 |
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 GreenPower contract
Based on the Rule 16, the options market is currently suggesting that GreenPower Motor will have an average daily up or down price movement of about 0.0% per day over the life of the 2026-03-20 option contract. With GreenPower trading at USD 0.93, that is roughly USD 0.0 . If you think that the market is fully incorporating GreenPower's daily price movement you should consider acquiring GreenPower Motor options at the current volatility level of 0.0%. But if you have an opposite viewpoint you should avoid it and even consider selling them.
GreenPower | Build AI portfolio with GreenPower Stock |
GreenPower After-Hype Price Density Analysis
As far as predicting the price of GreenPower 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 GreenPower 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 GreenPower, with the unreliable approximations that try to describe financial returns.
Next price density |
| Expected price to next headline |
GreenPower Estimiated After-Hype Price Volatility
In the context of predicting GreenPower's stock value on the day after the next significant headline, we show statistically significant boundaries of downside and upside scenarios based on GreenPower's historical news coverage. GreenPower's after-hype downside and upside margins for the prediction period are 0.05 and 10.56, respectively. We have considered GreenPower'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
GreenPower is out of control at this time. Analysis and calculation of next after-hype price of GreenPower Motor is based on 3 months time horizon.
GreenPower Stock Price Outlook Analysis
Have you ever been surprised when a price of a Company such as GreenPower is soaring high without any particular reason? This is usually happening because many institutional investors are aggressively trading GreenPower 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 GreenPower, 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 |
1.16 | 9.69 | 0.10 | 0.00 | 23 Events / Month | 6 Events / Month | In about 23 days |
| Latest traded price | Expected after-news price | Potential return on next major news | Average after-hype volatility | |
0.93 | 0.93 | 0.00 |
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GreenPower Hype Timeline
As of January 30, 2026 GreenPower Motor is listed for 0.93. The entity has historical hype elasticity of 0.1, and average elasticity to hype of competition of 0.0. GreenPower 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 over 100%. The immediate return on the next news is projected to be very small, whereas the daily expected return is currently at -1.16%. %. The volatility of related hype on GreenPower is about 323000.0%, with the expected price after the next announcement by competition of 0.93. About 23.0% of the company shares are held by company insiders. The company recorded a loss per share of 5.53. GreenPower Motor last dividend was issued on the 28th of August 2020. The entity had 1:10 split on the 8th of September 2025. Allowing for the 90-day total investment horizon the next projected press release will be in about 23 days. Check out GreenPower Basic Forecasting Models to cross-verify your projections.GreenPower Related Hype Analysis
Having access to credible news sources related to GreenPower's direct competition is more important than ever and may enhance your ability to predict GreenPower's future price movements. Getting to know how GreenPower'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 GreenPower may potentially react to the hype associated with one of its peers.
| HypeElasticity | NewsDensity | SemiDeviation | InformationRatio | PotentialUpside | ValueAt Risk | MaximumDrawdown | |||
| PRPL | Purple Innovation | (0.02) | 9 per month | 0.00 | (0.06) | 6.25 | (5.48) | 27.01 | |
| KNDI | Kandi Technologies Group | 0.02 | 8 per month | 0.00 | (0.06) | 8.16 | (5.88) | 19.77 | |
| CHSN | Chanson International Holding | 0.02 | 7 per month | 3.82 | (0.01) | 11.68 | (5.80) | 30.45 | |
| FLL | Full House Resorts | 0.18 | 7 per month | 0.00 | (0.07) | 4.86 | (4.87) | 16.22 | |
| GGR | Gogoro Inc | (0.21) | 6 per month | 0.00 | (0.08) | 6.78 | (5.51) | 23.10 | |
| HOFT | Hooker Furniture | 0.09 | 8 per month | 1.92 | 0.24 | 4.90 | (3.41) | 14.96 | |
| GRWG | GrowGeneration Corp | (0.08) | 9 per month | 0.00 | (0.04) | 3.33 | (5.82) | 52.12 | |
| UFI | Unifi Inc | 0.13 | 11 per month | 0.00 | (0.04) | 5.80 | (5.47) | 24.16 | |
| DIBS | 1StdibsCom | (0.09) | 8 per month | 2.28 | 0.19 | 9.58 | (4.63) | 23.12 | |
| STKS | One Group Hospitality | (0.01) | 9 per month | 0.00 | (0.05) | 5.75 | (5.69) | 28.79 |
GreenPower Additional Predictive Modules
Most predictive techniques to examine GreenPower price help traders to determine how to time the market. We provide a combination of tools to recognize potential entry and exit points for GreenPower using various technical indicators. When you analyze GreenPower 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 GreenPower Predictive Indicators
The successful prediction of GreenPower 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 GreenPower Motor, 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 GreenPower based on analysis of GreenPower hews, social hype, general headline patterns, and widely used predictive technical indicators.
We also calculate exposure to GreenPower's market risk, different technical and fundamental indicators, relevant financial multiples and ratios, and then comparing them to GreenPower's related companies. | 2025 | 2026 (projected) | Payables Turnover | 3.99 | 4.11 | Days Of Inventory On Hand | 608.84 | 578.4 |
Pair Trading with GreenPower
One of the main advantages of trading using pair correlations is that every trade hedges away some risk. Because there are two separate transactions required, even if GreenPower position performs unexpectedly, the other equity can make up some of the losses. Pair trading also minimizes risk from directional movements in the market. For example, if an entire industry or sector drops because of unexpected headlines, the short position in GreenPower will appreciate offsetting losses from the drop in the long position's value.Moving together with GreenPower Stock
| 0.7 | FLD | Fold Holdings Class Symbol Change | PairCorr |
Moving against GreenPower Stock
| 0.83 | RAL | Ralliant Common Earnings Call This Week | PairCorr |
| 0.75 | CMI | Cummins Earnings Call This Week | PairCorr |
| 0.59 | WAB | Westinghouse Air Brake | PairCorr |
| 0.55 | GBX | Greenbrier Companies | PairCorr |
| 0.53 | CAT | Caterpillar | PairCorr |
| 0.47 | WNC | Wabash National Earnings Call This Week | PairCorr |
The ability to find closely correlated positions to GreenPower could be a great tool in your tax-loss harvesting strategies, allowing investors a quick way to find a similar-enough asset to replace GreenPower when you sell it. If you don't do this, your portfolio allocation will be skewed against your target asset allocation. So, investors can't just sell and buy back GreenPower - that would be a violation of the tax code under the "wash sale" rule, and this is why you need to find a similar enough asset and use the proceeds from selling GreenPower Motor to buy it.
The correlation of GreenPower is a statistical measure of how it moves in relation to other instruments. This measure is expressed in what is known as the correlation coefficient, which ranges between -1 and +1. A perfect positive correlation (i.e., a correlation coefficient of +1) implies that as GreenPower moves, either up or down, the other security will move in the same direction. Alternatively, perfect negative correlation means that if GreenPower Motor moves in either direction, the perfectly negatively correlated security will move in the opposite direction. If the correlation is 0, the equities are not correlated; they are entirely random. A correlation greater than 0.8 is generally described as strong, whereas a correlation less than 0.5 is generally considered weak.
Correlation analysis and pair trading evaluation for GreenPower can also be used as hedging techniques within a particular sector or industry or even over random equities to generate a better risk-adjusted return on your portfolios.Additional Tools for GreenPower Stock Analysis
When running GreenPower's price analysis, check to measure GreenPower'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 GreenPower is operating at the current time. Most of GreenPower's value examination focuses on studying past and present price action to predict the probability of GreenPower's future price movements. You can analyze the entity against its peers and the financial market as a whole to determine factors that move GreenPower's price. Additionally, you may evaluate how the addition of GreenPower to your portfolios can decrease your overall portfolio volatility.