Fast Retailing Co Stock Price Prediction
| FRCOY Stock | USD 32.00 0.13 0.41% |
Oversold Vs Overbought
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Oversold | Overbought |
Using Fast Retailing hype-based prediction, you can estimate the value of Fast Retailing Co from the perspective of Fast Retailing 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 Fast Retailing to buy its pink sheet at a price that has no basis in reality. In that case, they are not buying Fast 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.
Fast Retailing after-hype prediction price | USD 32.0 |
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.
Fast |
Fast Retailing After-Hype Price Prediction Density Analysis
As far as predicting the price of Fast Retailing 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 Fast Retailing 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 Fast Retailing, with the unreliable approximations that try to describe financial returns.
Next price density |
| Expected price to next headline |
Fast Retailing Estimiated After-Hype Price Volatility
In the context of predicting Fast Retailing's pink sheet value on the day after the next significant headline, we show statistically significant boundaries of downside and upside scenarios based on Fast Retailing's historical news coverage. Fast Retailing's after-hype downside and upside margins for the prediction period are 30.20 and 33.80, respectively. We have considered Fast Retailing'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
Fast Retailing is very steady at this time. Analysis and calculation of next after-hype price of Fast Retailing is based on 3 months time horizon.
Fast Retailing Pink Sheet Price Prediction Analysis
Have you ever been surprised when a price of a Company such as Fast Retailing is soaring high without any particular reason? This is usually happening because many institutional investors are aggressively trading Fast Retailing 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 Fast Retailing, 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 |
0.03 | 1.80 | 0.00 | 0.01 | 0 Events / Month | 8 Events / Month | In a few days |
| Latest traded price | Expected after-news price | Potential return on next major news | Average after-hype volatility | ||
32.00 | 32.00 | 0.00 |
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Fast Retailing Hype Timeline
Fast Retailing is currently traded for 32.00. The entity stock is not elastic to its hype. The average elasticity to hype of competition is 0.01. Fast is estimated 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 estimated to be very small, whereas the daily expected return is currently at 0.03%. %. The volatility of related hype on Fast Retailing is about 382.35%, with the expected price after the next announcement by competition of 32.01. The company has Price/Earnings To Growth (PEG) ratio of 1.47. Fast Retailing last dividend was issued on the 30th of August 2022. Assuming the 90 days horizon the next estimated press release will be in a few days. Check out Fast Retailing Basic Forecasting Models to cross-verify your projections.Fast Retailing Related Hype Analysis
Having access to credible news sources related to Fast Retailing's direct competition is more important than ever and may enhance your ability to predict Fast Retailing's future price movements. Getting to know how Fast Retailing'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 Fast Retailing may potentially react to the hype associated with one of its peers.
| HypeElasticity | NewsDensity | SemiDeviation | InformationRatio | PotentialUpside | ValueAt Risk | MaximumDrawdown | |||
| TJX | The TJX Companies | 1.22 | 9 per month | 0.79 | (0.0007) | 1.35 | (1.60) | 8.34 | |
| LULU | Lululemon Athletica | 3.90 | 8 per month | 1.80 | 0.08 | 3.24 | (3.10) | 11.09 | |
| IDEXF | Industria de Diseo | 0.00 | 0 per month | 2.00 | (0.01) | 4.66 | (2.84) | 11.06 | |
| ROST | Ross Stores | 0.34 | 13 per month | 0.00 | (0.12) | 2.04 | (2.62) | 7.98 | |
| URBN | Urban Outfitters | 0.44 | 11 per month | 0.00 | (0.09) | 3.25 | (3.13) | 12.65 | |
| BOOT | Boot Barn Holdings | 0.20 | 12 per month | 3.83 | (0.03) | 2.98 | (3.12) | 29.69 | |
| ZUMZ | Zumiez Inc | 0.27 | 11 per month | 0.00 | (0.13) | 5.33 | (5.10) | 17.19 | |
| FRCOF | Fast Retailing Co | 0.00 | 0 per month | 0.00 | 0.09 | 7.00 | (6.37) | 23.45 | |
| GCO | Genesco | 0.44 | 8 per month | 3.31 | (0.03) | 6.15 | (4.32) | 17.20 | |
| CTRN | Citi Trends | 0.27 | 10 per month | 2.65 | 0.06 | 5.18 | (4.32) | 17.32 | |
| HIBB | Hibbett Sports | (0.27) | 7 per month | 0.00 | 0.10 | 0.56 | (0.24) | 19.75 | |
| BKE | Buckle Inc | 0.10 | 10 per month | 1.35 | 0.06 | 4.83 | (2.37) | 7.75 | |
| SCVL | Shoe Carnival | (0.79) | 10 per month | 0.00 | (0.15) | 5.16 | (5.85) | 16.24 |
Fast Retailing Additional Predictive Modules
Most predictive techniques to examine Fast price help traders to determine how to time the market. We provide a combination of tools to recognize potential entry and exit points for Fast using various technical indicators. When you analyze Fast 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 Fast Retailing Predictive Indicators
The successful prediction of Fast Retailing 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 Fast Retailing Co, 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 Fast Retailing based on analysis of Fast Retailing hews, social hype, general headline patterns, and widely used predictive technical indicators.
We also calculate exposure to Fast Retailing's market risk, different technical and fundamental indicators, relevant financial multiples and ratios, and then comparing them to Fast Retailing's related companies.
Story Coverage note for Fast Retailing
The number of cover stories for Fast Retailing depends on current market conditions and Fast Retailing's risk-adjusted performance over time. The coverage that generates the most noise at a given time depends on the prevailing investment theme that Fast Retailing 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 Fast Retailing'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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Fast Retailing Short Properties
Fast Retailing's future price predictability will typically decrease when Fast Retailing's long traders begin to feel the short-sellers pressure to drive the price lower. The predictive aspect of Fast Retailing Co often depends not only on the future outlook of the potential Fast Retailing'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. Fast Retailing's indicators that are reflective of the short sentiment are summarized in the table below.
| Common Stock Shares Outstanding | 102.2 M |
Additional Tools for Fast Pink Sheet Analysis
When running Fast Retailing's price analysis, check to measure Fast Retailing'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 Fast Retailing is operating at the current time. Most of Fast Retailing's value examination focuses on studying past and present price action to predict the probability of Fast Retailing's future price movements. You can analyze the entity against its peers and the financial market as a whole to determine factors that move Fast Retailing's price. Additionally, you may evaluate how the addition of Fast Retailing to your portfolios can decrease your overall portfolio volatility.