Lightning EMotors Pink Sheet Forecast - Simple Exponential Smoothing
| ZEVY Stock | 0.0001 0.00 0.00% |
Momentum 0
Sell Peaked
Oversold | Overbought |
Using Lightning EMotors hype-based prediction, you can estimate the value of Lightning eMotors from the perspective of Lightning EMotors response to recently generated media hype and the effects of current headlines on its competitors.
The Simple Exponential Smoothing forecasted value of Lightning eMotors on the next trading day is expected to be 0.0001 with a mean absolute deviation of 0.0003 and the sum of the absolute errors of 0.02. Lightning EMotors after-hype prediction price | USD 9.3E-5 |
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.
Lightning |
Lightning EMotors Additional Predictive Modules
Most predictive techniques to examine Lightning price help traders to determine how to time the market. We provide a combination of tools to recognize potential entry and exit points for Lightning using various technical indicators. When you analyze Lightning 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 |
Lightning EMotors Simple Exponential Smoothing Price Forecast For the 25th of January
Given 90 days horizon, the Simple Exponential Smoothing forecasted value of Lightning eMotors on the next trading day is expected to be 0.0001 with a mean absolute deviation of 0.0003, mean absolute percentage error of 0.00000321, and the sum of the absolute errors of 0.02.Please note that although there have been many attempts to predict Lightning Pink Sheet prices using its time series forecasting, we generally do not recommend using it to place bets in the real market. The most commonly used models for forecasting predictions are the autoregressive models, which specify that Lightning EMotors' next future price depends linearly on its previous prices and some stochastic term (i.e., imperfectly predictable multiplier).
Lightning EMotors Pink Sheet Forecast Pattern
Lightning EMotors Forecasted Value
In the context of forecasting Lightning EMotors' Pink Sheet value on the next trading day, we examine the predictive performance of the model to find good statistically significant boundaries of downside and upside scenarios. Lightning EMotors' downside and upside margins for the forecasting period are 0.000001 and 126.80, respectively. We have considered Lightning EMotors' daily market price to evaluate the above model's predictive performance. Remember, however, there is no scientific proof or empirical evidence that traditional linear or nonlinear forecasting models outperform artificial intelligence and frequency domain models to provide accurate forecasts consistently.
Model Predictive Factors
The below table displays some essential indicators generated by the model showing the Simple Exponential Smoothing forecasting method's relative quality and the estimations of the prediction error of Lightning EMotors pink sheet data series using in forecasting. Note that when a statistical model is used to represent Lightning EMotors pink sheet, the representation will rarely be exact; so some information will be lost using the model to explain the process. AIC estimates the relative amount of information lost by a given model: the less information a model loses, the higher its quality.| AIC | Akaike Information Criteria | 105.4623 |
| Bias | Arithmetic mean of the errors | None |
| MAD | Mean absolute deviation | 3.0E-4 |
| MAPE | Mean absolute percentage error | 1.6392 |
| SAE | Sum of the absolute errors | 0.0198 |
Predictive Modules for Lightning EMotors
There are currently many different techniques concerning forecasting the market as a whole, as well as predicting future values of individual securities such as Lightning eMotors. Regardless of method or technology, however, to accurately forecast the pink sheet market is more a matter of luck rather than a particular technique. Nevertheless, trying to predict the pink sheet market accurately is still an essential part of the overall investment decision process. Using different forecasting techniques and comparing the results might improve your chances of accuracy even though unexpected events may often change the market sentiment and impact your forecasting results.Sophisticated investors, who have witnessed many market ups and downs, anticipate that the market will even out over time. This tendency of Lightning EMotors' 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.
Lightning EMotors Estimiated After-Hype Price Prediction Volatility
As far as predicting the price of Lightning EMotors 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 Lightning EMotors 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 Lightning EMotors, with the unreliable approximations that try to describe financial returns.
Next price density |
| Expected price to next headline |
Lightning EMotors Pink Sheet Price Prediction Analysis
Have you ever been surprised when a price of a Company such as Lightning EMotors is soaring high without any particular reason? This is usually happening because many institutional investors are aggressively trading Lightning EMotors 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 Lightning EMotors, 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 |
14.30 | 126.80 | 0.00 | 0.00 | 0 Events / Month | 0 Events / Month | Any time |
| Latest traded price | Expected after-news price | Potential return on next major news | Average after-hype volatility | ||
0.0001 | 0.000093 | 6.54 |
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Lightning EMotors Hype Timeline
Lightning eMotors is at this time traded for 0.0001. The entity stock is not elastic to its hype. The average elasticity to hype of competition is 0.0. Lightning is anticipated to decline in value after the next headline, with the price expected to drop to 9.3E-5. The average volatility of media hype impact on the company price is insignificant. The price decrease on the next news is expected to be -6.54%, whereas the daily expected return is at this time at 14.3%. The volatility of related hype on Lightning EMotors is about 0.0%, with the expected price after the next announcement by competition of 0.00. Given the investment horizon of 90 days the next anticipated press release will be any time. Check out Your Current Watchlist to better understand how to build diversified portfolios. Also, note that the market value of any company could be closely tied with the direction of predictive economic indicators such as signals in private.Lightning EMotors Related Hype Analysis
Having access to credible news sources related to Lightning EMotors' direct competition is more important than ever and may enhance your ability to predict Lightning EMotors' future price movements. Getting to know how Lightning EMotors' 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 Lightning EMotors may potentially react to the hype associated with one of its peers.
| HypeElasticity | NewsDensity | SemiDeviation | InformationRatio | PotentialUpside | ValueAt Risk | MaximumDrawdown | |||
| KARE | Koala | 0.00 | 0 per month | 0.00 | 0.12 | 0.00 | 0.00 | 100.00 | |
| TDYT | Thermodynetics | 0.00 | 1 per month | 0.00 | 0.00 | 0.00 | 0.00 | 0.00 | |
| TCGN | Technology General | 0.00 | 0 per month | 0.00 | 0.00 | 0.00 | 0.00 | 0.00 | |
| BWOWF | Wowjoint Holdings Limited | 0.00 | 0 per month | 0.00 | 0.00 | 0.00 | 0.00 | 0.00 | |
| PMAH | PlasmaTech | 0.00 | 0 per month | 0.00 | 0.00 | 0.00 | 0.00 | 0.00 | |
| SYVN | Sycamore Ventures | 0.00 | 1 per month | 0.00 | 0.00 | 0.00 | 0.00 | 0.00 | |
| EKSN | Erickson Incorporated | 0.00 | 0 per month | 0.00 | 0.00 | 0.00 | 0.00 | 0.00 | |
| MCELQ | Millennium Cell | 0.00 | 0 per month | 0.00 | 0.00 | 0.00 | 0.00 | 0.00 | |
| SLUP | Solucorp Industries | 0.00 | 0 per month | 0.00 | 0.00 | 0.00 | 0.00 | 0.00 | |
| TFRY | Tasty Fries | 0.00 | 2 per month | 0.00 | 0.00 | 0.00 | 0.00 | 0.00 |
Other Forecasting Options for Lightning EMotors
For every potential investor in Lightning, whether a beginner or expert, Lightning EMotors' price movement is the inherent factor that sparks whether it is viable to invest in it or hold it better. Lightning Pink Sheet price charts are filled with many 'noises.' These noises can hugely alter the decision one can make regarding investing in Lightning. Basic forecasting techniques help filter out the noise by identifying Lightning EMotors' price trends.Lightning EMotors Related Equities
One of the popular trading techniques among algorithmic traders is to use market-neutral strategies where every trade hedges away some risk. Because there are two separate transactions required, even if one position performs unexpectedly, the other equity can make up some of the losses. Below are some of the equities that can be combined with Lightning EMotors pink sheet to make a market-neutral strategy. Peer analysis of Lightning EMotors could also be used in its relative valuation, which is a method of valuing Lightning EMotors by comparing valuation metrics with similar companies.
| Risk & Return | Correlation |
Lightning EMotors Market Strength Events
Market strength indicators help investors to evaluate how Lightning EMotors pink sheet reacts to ongoing and evolving market conditions. The investors can use it to make informed decisions about market timing, and determine when trading Lightning EMotors shares will generate the highest return on investment. By undertsting and applying Lightning EMotors pink sheet market strength indicators, traders can identify Lightning eMotors entry and exit signals to maximize returns.
| Rate Of Daily Change | 1.0 | |||
| Day Median Price | 1.0E-4 | |||
| Day Typical Price | 1.0E-4 |
Lightning EMotors Risk Indicators
The analysis of Lightning EMotors' basic risk indicators is one of the essential steps in accurately forecasting its future price. The process involves identifying the amount of risk involved in Lightning EMotors' investment and either accepting that risk or mitigating it. Along with some essential techniques for forecasting lightning pink sheet prices, we also provide a set of basic risk indicators that can assist in the individual investment decision or help in hedging the risk of your existing portfolios.
| Mean Deviation | 295.5 | |||
| Standard Deviation | 1218.85 | |||
| Variance | 1485605.42 |
Please note, the risk measures we provide can be used independently or collectively to perform a risk assessment. When comparing two potential investments, we recommend comparing similar equities with homogenous growth potential and valuation from related markets to determine which investment holds the most risk.
Story Coverage note for Lightning EMotors
The number of cover stories for Lightning EMotors depends on current market conditions and Lightning EMotors' risk-adjusted performance over time. The coverage that generates the most noise at a given time depends on the prevailing investment theme that Lightning EMotors 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 Lightning EMotors' 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 Lightning Pink Sheet Analysis
When running Lightning EMotors' price analysis, check to measure Lightning EMotors' 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 Lightning EMotors is operating at the current time. Most of Lightning EMotors' value examination focuses on studying past and present price action to predict the probability of Lightning EMotors' future price movements. You can analyze the entity against its peers and the financial market as a whole to determine factors that move Lightning EMotors' price. Additionally, you may evaluate how the addition of Lightning EMotors to your portfolios can decrease your overall portfolio volatility.