Electric Last Mile Stock Price Patterns
| ELMSQ Stock | USD 0.13 0.03 30.00% |
Momentum 55
Impartial
Oversold | Overbought |
Using Electric Last hype-based prediction, you can estimate the value of Electric Last Mile from the perspective of Electric Last response to recently generated media hype and the effects of current headlines on its competitors.
This module is based on analyzing investor sentiment around taking a position in Electric Last. This speculative approach is based exclusively on the idea that markets are driven by emotions such as investor fear and greed. The fear of missing out, i.e., FOMO, can cause potential investors in Electric Last to buy its otc stock at a price that has no basis in reality. In that case, they are not buying Electric 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 otc stocks at prices well below their value during bear markets because they need to stop feeling the pain of losing money.
Electric Last after-hype prediction price | USD 0.1 |
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 otc price forecasting, technical analysis, analysts consensus, earnings estimates, and various momentum models.
Electric |
Sophisticated investors, who have witnessed many market ups and downs, anticipate that the market will even out over time. This tendency of Electric Last's 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.
Electric Last After-Hype Price Density Analysis
As far as predicting the price of Electric Last 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 Electric Last 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 OTC Stock prices, such as prices of Electric Last, with the unreliable approximations that try to describe financial returns.
Next price density |
| Expected price to next headline |
Electric Last Estimiated After-Hype Price Volatility
In the context of predicting Electric Last's otc stock value on the day after the next significant headline, we show statistically significant boundaries of downside and upside scenarios based on Electric Last's historical news coverage. Electric Last's after-hype downside and upside margins for the prediction period are 0.01 and 16.66, respectively. We have considered Electric Last'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 compare with traditional linear, nonlinear models or artificial intelligence models to provide accurate predictions consistently.
Current Value
Electric Last is out of control at this time. Analysis and calculation of next after-hype price of Electric Last Mile is based on 3 months time horizon.
Electric Last OTC Stock Price Outlook Analysis
Have you ever been surprised when a price of a OTC Stock such as Electric Last is soaring high without any particular reason? This is usually happening because many institutional investors are aggressively trading Electric Last 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 OTC 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 Electric Last, 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 |
1.27 | 16.56 | 0.00 | 0.01 | 0 Events / Month | 0 Events / Month | In a few days |
| Latest traded price | Expected after-news price | Potential return on next major news | Average after-hype volatility | |
0.13 | 0.10 | 0.00 |
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Electric Last Hype Timeline
Electric Last Mile is currently traded for 0.13. The entity stock is not elastic to its hype. The average elasticity to hype of competition is -0.01. Electric 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 insignificant. The immediate return on the next news is projected to be very small, whereas the daily expected return is currently at 1.27%. %. The volatility of related hype on Electric Last is about 414000.0%, with the expected price after the next announcement by competition of 0.12. About 54.0% of the company shares are held by company insiders. The company had not issued any dividends in recent years. Assuming the 90 days horizon the next projected press release will be in a few days. Check out Electric Last Basic Forecasting Models to cross-verify your projections.Electric Last Related Hype Analysis
Having access to credible news sources related to Electric Last's direct competition is more important than ever and may enhance your ability to predict Electric Last's future price movements. Getting to know how Electric Last'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 Electric Last may potentially react to the hype associated with one of its peers.
| HypeElasticity | NewsDensity | SemiDeviation | InformationRatio | PotentialUpside | ValueAt Risk | MaximumDrawdown | |||
| SSM | Stone Street Bancorp | 0.00 | 0 per month | 0.00 | 0.00 | 0.00 | 0.00 | 0.00 | |
| SEVCF | Sono Group NV | 0.00 | 0 per month | 0.00 | (0.19) | 5.32 | (10.01) | 10.16 | |
| TUGHF | Tungtex Company Limited | 0.00 | 0 per month | 0.00 | 0.10 | 0.00 | 0.00 | 30.28 | |
| HDVTY | Henderson Investment Ltd | 0.00 | 0 per month | 0.00 | 0.00 | 0.00 | 0.00 | 0.00 | |
| NEXNF | NEXE Innovations | 0.00 | 0 per month | 0.00 | (0.06) | 10.00 | (9.09) | 34.82 | |
| DXYN | The Dixie Group | (0.04) | 4 per month | 0.00 | (0.06) | 12.24 | (11.29) | 32.22 | |
| LFEV | Life Electric Vehicles | 0.00 | 0 per month | 0.00 | 0.12 | 15.94 | (2.67) | 74.67 | |
| IVDN | Innovative Designs | 0.00 | 0 per month | 5.82 | 0.13 | 26.32 | (13.04) | 45.17 | |
| DSHK | Drive Shack | 0.00 | 0 per month | 0.00 | (0.05) | 6.30 | (8.25) | 35.78 | |
| EMCMF | Emerge Commerce | 0.00 | 0 per month | 0.00 | 0.13 | 0.00 | 0.00 | 40.00 |
Electric Last Additional Predictive Modules
Most predictive techniques to examine Electric price help traders to determine how to time the market. We provide a combination of tools to recognize potential entry and exit points for Electric using various technical indicators. When you analyze Electric 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 Electric Last Predictive Indicators
The successful prediction of Electric Last 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 Electric Last Mile, 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 Electric Last based on analysis of Electric Last hews, social hype, general headline patterns, and widely used predictive technical indicators.
We also calculate exposure to Electric Last's market risk, different technical and fundamental indicators, relevant financial multiples and ratios, and then comparing them to Electric Last's related companies.
Pair Trading with Electric Last
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 Electric Last 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 Electric Last will appreciate offsetting losses from the drop in the long position's value.Moving against Electric OTC Stock
The ability to find closely correlated positions to Electric Last could be a great tool in your tax-loss harvesting strategies, allowing investors a quick way to find a similar-enough asset to replace Electric Last 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 Electric Last - 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 Electric Last Mile to buy it.
The correlation of Electric Last 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 Electric Last moves, either up or down, the other security will move in the same direction. Alternatively, perfect negative correlation means that if Electric Last Mile 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 Electric Last 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 Electric OTC Stock Analysis
When running Electric Last's price analysis, check to measure Electric Last'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 Electric Last is operating at the current time. Most of Electric Last's value examination focuses on studying past and present price action to predict the probability of Electric Last's future price movements. You can analyze the entity against its peers and the financial market as a whole to determine factors that move Electric Last's price. Additionally, you may evaluate how the addition of Electric Last to your portfolios can decrease your overall portfolio volatility.