Aifarm Stock Price Prediction
AIFM Stock | USD 1.00 0.00 0.00% |
Momentum 51
Impartial
Oversold | Overbought |
Using AIFarm hype-based prediction, you can estimate the value of AIFarm from the perspective of AIFarm 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 AIFarm to buy its pink sheet at a price that has no basis in reality. In that case, they are not buying AIFarm 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.
AIFarm after-hype prediction price | USD 1.0 |
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.
AIFarm |
AIFarm After-Hype Price Prediction Density Analysis
As far as predicting the price of AIFarm 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 AIFarm 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 AIFarm, with the unreliable approximations that try to describe financial returns.
Next price density |
Expected price to next headline |
AIFarm Estimiated After-Hype Price Volatility
In the context of predicting AIFarm's pink sheet value on the day after the next significant headline, we show statistically significant boundaries of downside and upside scenarios based on AIFarm's historical news coverage. AIFarm's after-hype downside and upside margins for the prediction period are 0.05 and 101.00, respectively. We have considered AIFarm'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
AIFarm is out of control at this time. Analysis and calculation of next after-hype price of AIFarm is based on 3 months time horizon.
AIFarm Pink Sheet Price Prediction Analysis
Have you ever been surprised when a price of a Company such as AIFarm is soaring high without any particular reason? This is usually happening because many institutional investors are aggressively trading AIFarm 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 AIFarm, 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 |
14.29 | 126.82 | 0.00 | 11.96 | 0 Events / Month | 2 Events / Month | In 5 to 10 days |
Latest traded price | Expected after-news price | Potential return on next major news | Average after-hype volatility | ||
1.00 | 1.00 | 0.00 |
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AIFarm Hype Timeline
AIFarm is presently traded for 1.00. The entity stock is not elastic to its hype. The average elasticity to hype of competition is -11.96. AIFarm is forecasted 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 forecasted to be very small, whereas the daily expected return is presently at 14.29%. %. The volatility of related hype on AIFarm is about 15151.73%, with the expected price after the next announcement by competition of -10.96. About 51.0% of the company shares are held by company insiders. The company recorded a loss per share of 0.97. AIFarm last dividend was issued on the 21st of January 2020. The entity had 1:100 split on the 21st of January 2020. Given the investment horizon of 90 days the next forecasted press release will be in 5 to 10 days. Check out AIFarm Basic Forecasting Models to cross-verify your projections.AIFarm Related Hype Analysis
Having access to credible news sources related to AIFarm's direct competition is more important than ever and may enhance your ability to predict AIFarm's future price movements. Getting to know how AIFarm'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 AIFarm may potentially react to the hype associated with one of its peers.
HypeElasticity | NewsDensity | SemiDeviation | InformationRatio | PotentialUpside | ValueAt Risk | MaximumDrawdown | |||
CAT | Caterpillar | (7.15) | 7 per month | 0.00 | 0.31 | 2.92 | (1.08) | 7.20 | |
PCAR | PACCAR Inc | (1.22) | 9 per month | 0.95 | 0.01 | 3.30 | (1.90) | 7.85 | |
VLVLY | Volvo AB ADR | 0.00 | 0 per month | 1.17 | 0.01 | 3.63 | (1.89) | 7.21 | |
444859BR2 | HUMANA INC | 0.00 | 0 per month | 0.00 | (0.23) | 1.19 | (1.03) | 6.09 | |
CIO-PA | City Office REIT | 0.00 | 0 per month | 0.60 | 0.10 | 2.25 | (1.08) | 7.85 | |
LBHIX | Thrivent High Yield | 0.00 | 2 per month | 0.00 | (0.56) | 0.49 | (0.24) | 1.22 | |
MSTSX | Morningstar Unconstrained Allocation | 0.00 | 0 per month | 0.07 | 0.04 | 1.45 | (0.88) | 3.51 | |
ABHYX | High Yield Municipal Fund | 0.00 | 1 per month | 0.17 | (0.81) | 0.36 | (0.35) | 1.54 | |
VIASP | Via Renewables | 0.00 | 0 per month | 0.00 | (0.03) | 1.01 | (0.76) | 4.38 | |
RRTLX | T Rowe Price | 0.00 | 0 per month | 0.00 | (0.30) | 0.73 | (0.39) | 1.74 |
AIFarm Additional Predictive Modules
Most predictive techniques to examine AIFarm price help traders to determine how to time the market. We provide a combination of tools to recognize potential entry and exit points for AIFarm using various technical indicators. When you analyze AIFarm 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 AIFarm Predictive Indicators
The successful prediction of AIFarm 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 AIFarm, 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 AIFarm based on analysis of AIFarm hews, social hype, general headline patterns, and widely used predictive technical indicators.
We also calculate exposure to AIFarm's market risk, different technical and fundamental indicators, relevant financial multiples and ratios, and then comparing them to AIFarm's related companies.
Story Coverage note for AIFarm
The number of cover stories for AIFarm depends on current market conditions and AIFarm's risk-adjusted performance over time. The coverage that generates the most noise at a given time depends on the prevailing investment theme that AIFarm 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 AIFarm'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
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AIFarm Short Properties
AIFarm's future price predictability will typically decrease when AIFarm's long traders begin to feel the short-sellers pressure to drive the price lower. The predictive aspect of AIFarm often depends not only on the future outlook of the potential AIFarm'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. AIFarm's indicators that are reflective of the short sentiment are summarized in the table below.
Common Stock Shares Outstanding | 676.8 K |
Other Information on Investing in AIFarm Pink Sheet
AIFarm financial ratios help investors to determine whether AIFarm Pink Sheet is cheap or expensive when compared to a particular measure, such as profits or enterprise value. In other words, they help investors to determine the cost of investment in AIFarm with respect to the benefits of owning AIFarm security.