AppHarvest Price Prediction
APPHWDelisted Stock | USD 0.01 0.01 57.14% |
Oversold Vs Overbought
58
Oversold | Overbought |
Using AppHarvest hype-based prediction, you can estimate the value of AppHarvest from the perspective of AppHarvest 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 AppHarvest to buy its stock at a price that has no basis in reality. In that case, they are not buying AppHarvest 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.
AppHarvest after-hype prediction price | USD 0.01 |
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 delisted stock price forecasting, technical analysis, analysts consensus, earnings estimates, and various momentum models.
AppHarvest |
AppHarvest After-Hype Price Prediction Density Analysis
As far as predicting the price of AppHarvest 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 AppHarvest 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 AppHarvest, with the unreliable approximations that try to describe financial returns.
Next price density |
Expected price to next headline |
AppHarvest Estimiated After-Hype Price Volatility
In the context of predicting AppHarvest's stock value on the day after the next significant headline, we show statistically significant boundaries of downside and upside scenarios based on AppHarvest's historical news coverage. AppHarvest's after-hype downside and upside margins for the prediction period are 0.01 and 0.01, respectively. We have considered AppHarvest'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
AppHarvest is very steady at this time. Analysis and calculation of next after-hype price of AppHarvest is based on 3 months time horizon.
AppHarvest Stock Price Prediction Analysis
Have you ever been surprised when a price of a Company such as AppHarvest is soaring high without any particular reason? This is usually happening because many institutional investors are aggressively trading AppHarvest 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 Delisted 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 AppHarvest, 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 |
0.00 | 0.00 | 0.00 | 0.00 | 1 Events / Month | 2 Events / Month | Very soon |
Latest traded price | Expected after-news price | Potential return on next major news | Average after-hype volatility | ||
0.01 | 0.01 | 11.11 |
|
AppHarvest Hype Timeline
AppHarvest is presently traded for 0.01. The entity stock is not elastic to its hype. The average elasticity to hype of competition is 0.0. AppHarvest is forecasted to increase in value after the next headline, with the price projected to jump to 0.01 or above. The average volatility of media hype impact on the company the price is insignificant. The price increase on the next news is projected to be 11.11%, whereas the daily expected return is presently at 0.0%. The volatility of related hype on AppHarvest is about 0.0%, with the expected price after the next announcement by competition of 0.01. AppHarvest has accumulated 291.15 M in total debt with debt to equity ratio (D/E) of 1.07, which is about average as compared to similar companies. AppHarvest has a current ratio of 1.52, which is within standard range for the sector. Note, when we think about AppHarvest's use of debt, we should always consider it together with its cash and equity.Assuming the 90 days horizon the next forecasted press release will be very soon. Check out Trending Equities 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 rate.AppHarvest Related Hype Analysis
Having access to credible news sources related to AppHarvest's direct competition is more important than ever and may enhance your ability to predict AppHarvest's future price movements. Getting to know how AppHarvest'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 AppHarvest may potentially react to the hype associated with one of its peers.
HypeElasticity | NewsDensity | SemiDeviation | InformationRatio | PotentialUpside | ValueAt Risk | MaximumDrawdown | |||
APPH | AppHarvest | (0.01) | 3 per month | 0.00 | (0.15) | 8.57 | (13.64) | 31.70 | |
ADNWW | Advent Technologies Holdings | (0) | 2 per month | 7.54 | 0.04 | 16.35 | (11.76) | 55.12 | |
ASTSW | AST SpaceMobile | (0.19) | 7 per month | 7.81 | 0.17 | 27.59 | (14.18) | 119.49 | |
INDIW | Indie Semiconductor Warrant | 0.19 | 2 per month | 0.00 | (0.06) | 8.70 | (9.13) | 21.58 | |
GOEVW | Canoo Holdings | (0) | 4 per month | 0.00 | (0.08) | 14.11 | (16.67) | 47.09 |
AppHarvest Additional Predictive Modules
Most predictive techniques to examine AppHarvest price help traders to determine how to time the market. We provide a combination of tools to recognize potential entry and exit points for AppHarvest using various technical indicators. When you analyze AppHarvest 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 AppHarvest Predictive Indicators
The successful prediction of AppHarvest 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 AppHarvest, 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 AppHarvest based on analysis of AppHarvest hews, social hype, general headline patterns, and widely used predictive technical indicators.
We also calculate exposure to AppHarvest's market risk, different technical and fundamental indicators, relevant financial multiples and ratios, and then comparing them to AppHarvest's related companies.
Story Coverage note for AppHarvest
The number of cover stories for AppHarvest depends on current market conditions and AppHarvest's risk-adjusted performance over time. The coverage that generates the most noise at a given time depends on the prevailing investment theme that AppHarvest 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 AppHarvest's long-term prospects. So, having above-average coverage will typically attract above-average short interest, leading to significant price volatility.
Other Macroaxis Stories
Our audience includes start-ups and big corporations as well as marketing, public relation firms, and advertising agencies, including technology and finance journalists. Our platform and its news and story outlet are popular among finance students, amateur traders, self-guided investors, entrepreneurs, retirees and baby boomers, academic researchers, financial advisers, as well as professional money managers - a very diverse and influential demographic landscape united by one goal - build optimal investment portfolios
Story Categories
Currently Trending Categories
AppHarvest Short Properties
AppHarvest's future price predictability will typically decrease when AppHarvest's long traders begin to feel the short-sellers pressure to drive the price lower. The predictive aspect of AppHarvest often depends not only on the future outlook of the potential AppHarvest'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. AppHarvest's indicators that are reflective of the short sentiment are summarized in the table below.
Common Stock Shares Outstanding | 104.8 M | |
Cash And Short Term Investments | 54.3 M |
Check out Trending Equities 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 rate. You can also try the Portfolio Suggestion module to get suggestions outside of your existing asset allocation including your own model portfolios.
Other Consideration for investing in AppHarvest Stock
If you are still planning to invest in AppHarvest check if it may still be traded through OTC markets such as Pink Sheets or OTC Bulletin Board. You may also purchase it directly from the company, but this is not always possible and may require contacting the company directly. Please note that delisted stocks are often considered to be more risky investments, as they are no longer subject to the same regulatory and reporting requirements as listed stocks. Therefore, it is essential to carefully research the AppHarvest's history and understand the potential risks before investing.
Stocks Directory Find actively traded stocks across global markets | |
Commodity Directory Find actively traded commodities issued by global exchanges | |
My Watchlist Analysis Analyze my current watchlist and to refresh optimization strategy. Macroaxis watchlist is based on self-learning algorithm to remember stocks you like | |
Money Managers Screen money managers from public funds and ETFs managed around the world | |
Equity Valuation Check real value of public entities based on technical and fundamental data | |
Risk-Return Analysis View associations between returns expected from investment and the risk you assume | |
Aroon Oscillator Analyze current equity momentum using Aroon Oscillator and other momentum ratios | |
Fundamental Analysis View fundamental data based on most recent published financial statements | |
Content Syndication Quickly integrate customizable finance content to your own investment portal |