American Scientf Stock Forecast - Simple Regression
The Simple Regression forecasted value of American Scientf on the next trading day is expected to be 0.00 with a mean absolute deviation of 0.00 and the sum of the absolute errors of 0.00. American Stock Forecast is based on your current time horizon.
At this time the relative strength index (rsi) of American Scientf's share price is below 20 . This suggests that the stock is significantly oversold. The fundamental principle of the Relative Strength Index (RSI) is to quantify the velocity at which market participants are driving the price of a financial instrument upwards or downwards. Momentum 0
Sell Peaked
Oversold | Overbought |
Quarterly Revenue Growth 0.654 |
Using American Scientf hype-based prediction, you can estimate the value of American Scientf from the perspective of American Scientf response to recently generated media hype and the effects of current headlines on its competitors.
The Simple Regression forecasted value of American Scientf on the next trading day is expected to be 0.00 with a mean absolute deviation of 0.00 and the sum of the absolute errors of 0.00. American Scientf after-hype prediction price | USD 0.0 |
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 stock price forecasting, technical analysis, analysts consensus, earnings estimates, and various momentum models.
Check out Historical Fundamental Analysis of American Scientf to cross-verify your projections. American Scientf Additional Predictive Modules
Most predictive techniques to examine American price help traders to determine how to time the market. We provide a combination of tools to recognize potential entry and exit points for American using various technical indicators. When you analyze American 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 | ||
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| Math Transform | ||
| Momentum Indicators | ||
| Overlap Studies | ||
| Pattern Recognition | ||
| Price Transform | ||
| Statistic Functions | ||
| Volatility Indicators | ||
| Volume Indicators |
American Scientf Simple Regression Price Forecast For the 25th of January
Given 90 days horizon, the Simple Regression forecasted value of American Scientf on the next trading day is expected to be 0.00 with a mean absolute deviation of 0.00, mean absolute percentage error of 0.00, and the sum of the absolute errors of 0.00.Please note that although there have been many attempts to predict American Stock 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 American Scientf's next future price depends linearly on its previous prices and some stochastic term (i.e., imperfectly predictable multiplier).
American Scientf Stock Forecast Pattern
| Backtest American Scientf | American Scientf Price Prediction | Buy or Sell Advice |
American Scientf Forecasted Value
In the context of forecasting American Scientf's Stock 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. American Scientf's downside and upside margins for the forecasting period are 0.00 and 0.00, respectively. We have considered American Scientf's 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 Regression forecasting method's relative quality and the estimations of the prediction error of American Scientf stock data series using in forecasting. Note that when a statistical model is used to represent American Scientf stock, 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 | -9.223372036854776E14 |
| Bias | Arithmetic mean of the errors | None |
| MAD | Mean absolute deviation | 0.0 |
| MAPE | Mean absolute percentage error | 0.0 |
| SAE | Sum of the absolute errors | 0.0 |
Predictive Modules for American Scientf
There are currently many different techniques concerning forecasting the market as a whole, as well as predicting future values of individual securities such as American Scientf. Regardless of method or technology, however, to accurately forecast the stock market is more a matter of luck rather than a particular technique. Nevertheless, trying to predict the stock 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.American Scientf Stock Price Prediction Analysis
Have you ever been surprised when a price of a Company such as American Scientf is soaring high without any particular reason? This is usually happening because many institutional investors are aggressively trading American Scientf 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 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 American Scientf, 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 | 0 Events / Month | Very soon |
| Latest traded price | Expected after-news price | Potential return on next major news | Average after-hype volatility | ||
0.00 | 0.00 | 0.00 |
|
American Scientf Hype Timeline
American Scientf is presently traded for 0.00. The entity stock is not elastic to its hype. The average elasticity to hype of competition is 0.0. American 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 0.0%. %. The volatility of related hype on American Scientf is about 0.0%, with the expected price after the next announcement by competition of 0.00. The company recorded a loss per share of 0.7. American Scientf had not issued any dividends in recent years. The entity had 1:200 split on the 21st of March 2011. Given the investment horizon of 90 days the next forecasted press release will be very soon. Check out Historical Fundamental Analysis of American Scientf to cross-verify your projections.American Scientf Related Hype Analysis
Having access to credible news sources related to American Scientf's direct competition is more important than ever and may enhance your ability to predict American Scientf's future price movements. Getting to know how American Scientf'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 American Scientf may potentially react to the hype associated with one of its peers.
| HypeElasticity | NewsDensity | SemiDeviation | InformationRatio | PotentialUpside | ValueAt Risk | MaximumDrawdown | |||
| MDIT | Medite Cancer Diagnostics | 0.00 | 0 per month | 0.00 | 0.00 | 0.00 | 0.00 | 0.00 | |
| VRAYQ | ViewRay | 0.00 | 0 per month | 0.00 | 0.00 | 0.00 | 0.00 | 0.00 | |
| SDCCQ | SmileDirectClub | 0.00 | 0 per month | 0.00 | 0.05 | 0.00 | 0.00 | 150.00 | |
| SCAL | Stem Cell Authority | 0.00 | 3 per month | 0.00 | (0.14) | 0.00 | 0.00 | 50.00 | |
| RCAR | RenovaCare | 0.00 | 0 per month | 0.00 | 0.00 | 0.00 | 0.00 | 0.00 | |
| CEVE | Ceres Ventures | 0.00 | 1 per month | 0.00 | 0.00 | 0.00 | 0.00 | 0.00 | |
| LOWLF | Lowell Farms | 0.00 | 2 per month | 19.82 | 0.16 | 70.48 | (36.31) | 1,900 | |
| SCPS | Scopus Biopharma | 0.00 | 0 per month | 0.00 | 0.09 | 33.33 | (25.00) | 83.33 | |
| HSMD | Healthcare Solutions Management | 0.00 | 0 per month | 0.00 | 0.00 | 0.00 | 0.00 | 0.00 | |
| HCANF | Halo Collective | 0.00 | 0 per month | 0.00 | 0.00 | 0.00 | 0.00 | 0.00 |
Other Forecasting Options for American Scientf
For every potential investor in American, whether a beginner or expert, American Scientf's price movement is the inherent factor that sparks whether it is viable to invest in it or hold it better. American Stock price charts are filled with many 'noises.' These noises can hugely alter the decision one can make regarding investing in American. Basic forecasting techniques help filter out the noise by identifying American Scientf's price trends.American Scientf 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 American Scientf stock to make a market-neutral strategy. Peer analysis of American Scientf could also be used in its relative valuation, which is a method of valuing American Scientf by comparing valuation metrics with similar companies.
| Risk & Return | Correlation |
Story Coverage note for American Scientf
The number of cover stories for American Scientf depends on current market conditions and American Scientf's risk-adjusted performance over time. The coverage that generates the most noise at a given time depends on the prevailing investment theme that American Scientf 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 American Scientf's 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 American Stock Analysis
When running American Scientf's price analysis, check to measure American Scientf'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 American Scientf is operating at the current time. Most of American Scientf's value examination focuses on studying past and present price action to predict the probability of American Scientf's future price movements. You can analyze the entity against its peers and the financial market as a whole to determine factors that move American Scientf's price. Additionally, you may evaluate how the addition of American Scientf to your portfolios can decrease your overall portfolio volatility.