Personal Care Stock Forward View - Polynomial Regression
| PCGR Stock | USD 0.0001 0.00 0.000003% |
Personal Stock outlook is based on your current time horizon. Although Personal Care's naive historical forecasting may sometimes provide an important future outlook for the firm, we recommend always cross-verifying it against solid analysis of Personal Care's systematic risk associated with finding meaningful patterns of Personal Care fundamentals over time.
As of today the relative strength index (rsi) of Personal Care's share price is below 20 indicating 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 |
Wall Street Target Price 1.5 | Quarterly Revenue Growth 0.205 |
Using Personal Care hype-based prediction, you can estimate the value of Personal Care Group from the perspective of Personal Care response to recently generated media hype and the effects of current headlines on its competitors.
The Polynomial Regression forecasted value of Personal Care Group on the next trading day is expected to be 0.0001 with a mean absolute deviation of 0 and the sum of the absolute errors of 0. Personal Care after-hype prediction price | USD 1.0E-4 |
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 Personal Care to cross-verify your projections. Personal Care Additional Predictive Modules
Most predictive techniques to examine Personal price help traders to determine how to time the market. We provide a combination of tools to recognize potential entry and exit points for Personal using various technical indicators. When you analyze Personal 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 |
Personal Care Polynomial Regression Price Forecast For the 1st of February
Given 90 days horizon, the Polynomial Regression forecasted value of Personal Care Group on the next trading day is expected to be 0.0001 with a mean absolute deviation of 0, mean absolute percentage error of 0, and the sum of the absolute errors of 0.Please note that although there have been many attempts to predict Personal 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 Personal Care's next future price depends linearly on its previous prices and some stochastic term (i.e., imperfectly predictable multiplier).
Personal Care Stock Forecast Pattern
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Personal Care Forecasted Value
In the context of forecasting Personal Care'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. Personal Care's downside and upside margins for the forecasting period are 0.0001 and 0.0001, respectively. We have considered Personal Care'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 Polynomial Regression forecasting method's relative quality and the estimations of the prediction error of Personal Care stock data series using in forecasting. Note that when a statistical model is used to represent Personal Care 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 | 62.9278 |
| 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 Personal Care
There are currently many different techniques concerning forecasting the market as a whole, as well as predicting future values of individual securities such as Personal Care Group. 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.Personal Care After-Hype Price Density Analysis
As far as predicting the price of Personal Care 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 Personal Care 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 Personal Care, with the unreliable approximations that try to describe financial returns.
Next price density |
| Expected price to next headline |
Personal Care Estimiated After-Hype Price Volatility
In the context of predicting Personal Care's stock value on the day after the next significant headline, we show statistically significant boundaries of downside and upside scenarios based on Personal Care's historical news coverage. Personal Care's after-hype downside and upside margins for the prediction period are 0.00 and 0.00, respectively. We have considered Personal Care'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
Personal Care is very steady at this time. Analysis and calculation of next after-hype price of Personal Care Group is based on 3 months time horizon.
Personal Care Stock Price Outlook Analysis
Have you ever been surprised when a price of a Company such as Personal Care is soaring high without any particular reason? This is usually happening because many institutional investors are aggressively trading Personal Care 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 Personal Care, 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 | 7 Events / Month | 0 Events / Month | In about 7 days |
| Latest traded price | Expected after-news price | Potential return on next major news | Average after-hype volatility | |
0.0001 | 0.0001 | 0.00 |
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Personal Care Hype Timeline
Personal Care Group 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. Personal 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 at this time at 0.0%. %. The volatility of related hype on Personal Care is about 0.0%, with the expected price after the next announcement by competition of 0.00. The company has price-to-book ratio of 0.0. Typically companies with comparable Price to Book (P/B) are able to outperform the market in the long run. Personal Care Group recorded a loss per share of 0.01. The entity had not issued any dividends in recent years. Given the investment horizon of 90 days the next forecasted press release will be in about 7 days. Check out Historical Fundamental Analysis of Personal Care to cross-verify your projections.Personal Care Related Hype Analysis
Having access to credible news sources related to Personal Care's direct competition is more important than ever and may enhance your ability to predict Personal Care's future price movements. Getting to know how Personal Care'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 Personal Care may potentially react to the hype associated with one of its peers.
| HypeElasticity | NewsDensity | SemiDeviation | InformationRatio | PotentialUpside | ValueAt Risk | MaximumDrawdown | |||
| MFLTY | Missfresh Limited | 0.00 | 0 per month | 0.00 | 0.12 | 0.00 | 0.00 | 200.00 | |
| RBCL | RBC Life Sciences | (0.0003) | 1 per month | 0.00 | 0.16 | 0.00 | 0.00 | 100.00 | |
| GEGI | Genesis Electronics Group | 0.00 | 0 per month | 0.00 | 0.00 | 0.00 | 0.00 | 0.00 | |
| RFBC | Romana Food Brands | 0.00 | 5 per month | 0.00 | 0.00 | 0.00 | 0.00 | 0.00 | |
| TUEMQ | Tuesday Morning | 0.00 | 0 per month | 0.00 | 0.00 | 0.00 | 0.00 | 0.00 | |
| RIBT | Ricebran Tech | 0.00 | 0 per month | 15.91 | 0.14 | 100.00 | (50.00) | 266.67 | |
| BCCI | Baristas Coffee | 0.00 | 0 per month | 0.00 | 0.00 | 0.00 | 0.00 | 0.00 | |
| CRMBQ | Crumbs Bake Shop | 0.00 | 0 per month | 0.00 | 0.1 | 0.00 | 0.00 | 350.00 | |
| PACV | Pacific Ventures Group | 0.00 | 0 per month | 0.00 | 0.00 | 0.00 | 0.00 | 0.00 | |
| MDAV | Davi Luxury Brand | 0.00 | 0 per month | 0.00 | 0.05 | 0.00 | 0.00 | 150.00 |
Other Forecasting Options for Personal Care
For every potential investor in Personal, whether a beginner or expert, Personal Care's price movement is the inherent factor that sparks whether it is viable to invest in it or hold it better. Personal Stock price charts are filled with many 'noises.' These noises can hugely alter the decision one can make regarding investing in Personal. Basic forecasting techniques help filter out the noise by identifying Personal Care's price trends.Personal Care 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 Personal Care stock to make a market-neutral strategy. Peer analysis of Personal Care could also be used in its relative valuation, which is a method of valuing Personal Care by comparing valuation metrics with similar companies.
| Risk & Return | Correlation |
Personal Care Market Strength Events
Market strength indicators help investors to evaluate how Personal Care stock reacts to ongoing and evolving market conditions. The investors can use it to make informed decisions about market timing, and determine when trading Personal Care shares will generate the highest return on investment. By undertsting and applying Personal Care stock market strength indicators, traders can identify Personal Care Group 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 |
Story Coverage note for Personal Care
The number of cover stories for Personal Care depends on current market conditions and Personal Care's risk-adjusted performance over time. The coverage that generates the most noise at a given time depends on the prevailing investment theme that Personal Care 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 Personal Care'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 Personal Stock Analysis
When running Personal Care's price analysis, check to measure Personal Care'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 Personal Care is operating at the current time. Most of Personal Care's value examination focuses on studying past and present price action to predict the probability of Personal Care's future price movements. You can analyze the entity against its peers and the financial market as a whole to determine factors that move Personal Care's price. Additionally, you may evaluate how the addition of Personal Care to your portfolios can decrease your overall portfolio volatility.