Curtiss Motorcycles Stock Price Prediction
| CMOT Stock | USD 0.02 0.02 42.50% |
Oversold Vs Overbought
58
Oversold | Overbought |
Using Curtiss Motorcycles hype-based prediction, you can estimate the value of Curtiss Motorcycles from the perspective of Curtiss Motorcycles response to recently generated media hype and the effects of current headlines on its competitors.
The fear of missing out, i.e., FOMO, can cause potential investors in Curtiss Motorcycles to buy its pink sheet at a price that has no basis in reality. In that case, they are not buying Curtiss 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 pink sheets at prices well below their value during bear markets because they need to stop feeling the pain of losing money.
Curtiss Motorcycles after-hype prediction price | USD 0.02 |
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 pink sheet price forecasting, technical analysis, analysts consensus, earnings estimates, and various momentum models.
Curtiss |
Curtiss Motorcycles After-Hype Price Prediction Density Analysis
As far as predicting the price of Curtiss Motorcycles 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 Curtiss Motorcycles 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 Pink Sheet prices, such as prices of Curtiss Motorcycles, with the unreliable approximations that try to describe financial returns.
Next price density |
| Expected price to next headline |
Curtiss Motorcycles Estimiated After-Hype Price Volatility
In the context of predicting Curtiss Motorcycles' pink sheet value on the day after the next significant headline, we show statistically significant boundaries of downside and upside scenarios based on Curtiss Motorcycles' historical news coverage. Curtiss Motorcycles' after-hype downside and upside margins for the prediction period are 0.00 and 51.17, respectively. We have considered Curtiss Motorcycles' 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
Curtiss Motorcycles is out of control at this time. Analysis and calculation of next after-hype price of Curtiss Motorcycles is based on 3 months time horizon.
Curtiss Motorcycles Pink Sheet Price Prediction Analysis
Have you ever been surprised when a price of a Company such as Curtiss Motorcycles is soaring high without any particular reason? This is usually happening because many institutional investors are aggressively trading Curtiss Motorcycles 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 Pink Sheet 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 Curtiss Motorcycles, 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 |
27.27 | 160.87 | 0.00 | 2.55 | 0 Events / Month | 5 Events / Month | In 5 to 10 days |
| Latest traded price | Expected after-news price | Potential return on next major news | Average after-hype volatility | ||
0.02 | 0.02 | 13.04 |
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Curtiss Motorcycles Hype Timeline
Curtiss Motorcycles is currently traded for 0.02. The entity stock is not elastic to its hype. The average elasticity to hype of competition is 2.55. Curtiss is estimated to decline in value after the next headline, with the price expected to drop to 0.02. The average volatility of media hype impact on the company price is insignificant. The price decrease on the next news is expected to be -13.04%, whereas the daily expected return is currently at 27.27%. The volatility of related hype on Curtiss Motorcycles is about 172360.71%, with the expected price after the next announcement by competition of 2.57. About 33.0% of the company shares are held by company insiders. The company recorded a loss per share of 0.06. Curtiss Motorcycles had not issued any dividends in recent years. The entity had 221:700 split on the 20th of January 2009. Given the investment horizon of 90 days the next estimated press release will be in 5 to 10 days. Check out Curtiss Motorcycles Basic Forecasting Models to cross-verify your projections.Curtiss Motorcycles Related Hype Analysis
Having access to credible news sources related to Curtiss Motorcycles' direct competition is more important than ever and may enhance your ability to predict Curtiss Motorcycles' future price movements. Getting to know how Curtiss Motorcycles' 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 Curtiss Motorcycles may potentially react to the hype associated with one of its peers.
| HypeElasticity | NewsDensity | SemiDeviation | InformationRatio | PotentialUpside | ValueAt Risk | MaximumDrawdown | |||
| LFEV | Life Electric Vehicles | 0.00 | 0 per month | 10.12 | 0.04 | 40.00 | (28.57) | 80.36 | |
| EVVL | Evil Empire Designs | 0.00 | 0 per month | 0.00 | 0.00 | 0.00 | 0.00 | 0.00 | |
| VEEE | Twin Vee Powercats | 0.03 | 8 per month | 6.11 | 0.02 | 15.09 | (10.00) | 39.05 | |
| LCII | LCI Industries | (1.60) | 9 per month | 2.09 | (0.01) | 3.85 | (3.74) | 8.29 | |
| MPX | Marine Products | 0.15 | 5 per month | 1.31 | 0.01 | 2.89 | (2.16) | 7.94 | |
| MCFT | MCBC Holdings | 0.57 | 7 per month | 2.07 | 0.01 | 3.20 | (3.53) | 28.49 | |
| DOOO | BRP Inc | 0.85 | 8 per month | 0.00 | (0.28) | 2.15 | (4.08) | 12.05 | |
| MBUU | Malibu Boats | 1.55 | 9 per month | 1.94 | 0.1 | 4.07 | (3.49) | 11.17 | |
| WGO | Winnebago Industries | (0.71) | 12 per month | 2.53 | (0.02) | 3.68 | (3.71) | 13.99 |
Curtiss Motorcycles Additional Predictive Modules
Most predictive techniques to examine Curtiss price help traders to determine how to time the market. We provide a combination of tools to recognize potential entry and exit points for Curtiss using various technical indicators. When you analyze Curtiss 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 Curtiss Motorcycles Predictive Indicators
The successful prediction of Curtiss Motorcycles 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 Curtiss Motorcycles, 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 Curtiss Motorcycles based on analysis of Curtiss Motorcycles hews, social hype, general headline patterns, and widely used predictive technical indicators.
We also calculate exposure to Curtiss Motorcycles's market risk, different technical and fundamental indicators, relevant financial multiples and ratios, and then comparing them to Curtiss Motorcycles's related companies.
Story Coverage note for Curtiss Motorcycles
The number of cover stories for Curtiss Motorcycles depends on current market conditions and Curtiss Motorcycles' risk-adjusted performance over time. The coverage that generates the most noise at a given time depends on the prevailing investment theme that Curtiss Motorcycles 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 Curtiss Motorcycles' long-term prospects. So, having above-average coverage will typically attract above-average short interest, leading to significant price volatility.
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Additional Tools for Curtiss Pink Sheet Analysis
When running Curtiss Motorcycles' price analysis, check to measure Curtiss Motorcycles' 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 Curtiss Motorcycles is operating at the current time. Most of Curtiss Motorcycles' value examination focuses on studying past and present price action to predict the probability of Curtiss Motorcycles' future price movements. You can analyze the entity against its peers and the financial market as a whole to determine factors that move Curtiss Motorcycles' price. Additionally, you may evaluate how the addition of Curtiss Motorcycles to your portfolios can decrease your overall portfolio volatility.