Us Foods Holding Stock Price Prediction
| USFD Stock | USD 67.92 1.35 2.03% |
Oversold Vs Overbought
77
Oversold | Overbought |
Quarterly Earnings Growth 0.605 | EPS Estimate Next Quarter 0.78 | EPS Estimate Current Year 3.1194 | EPS Estimate Next Year 3.8169 | Wall Street Target Price 74.165 |
Using US Foods hype-based prediction, you can estimate the value of US Foods Holding from the perspective of US Foods response to recently generated media hype and the effects of current headlines on its competitors.
US Foods Holding Hype to Price Pattern
Investor biases related to US Foods' public news can be used to forecast risks associated with an investment in USFD. The trend in average sentiment can be used to explain how an investor holding USFD can time the market purely based on public headlines and social activities around US Foods Holding. Please note that most equities that are difficult to arbitrage are affected by market sentiment the most.
Some investors profit by finding stocks that are overvalued or undervalued based on market sentiment. The correlation of US Foods' market sentiment to its price can help taders to make decisions based on the overall investors consensus about US Foods.
The fear of missing out, i.e., FOMO, can cause potential investors in US Foods to buy its stock at a price that has no basis in reality. In that case, they are not buying USFD 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.
US Foods after-hype prediction price | USD 67.92 |
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.
USFD |
US Foods After-Hype Price Prediction Density Analysis
As far as predicting the price of US Foods 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 US Foods 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 US Foods, with the unreliable approximations that try to describe financial returns.
Next price density |
| Expected price to next headline |
US Foods Estimiated After-Hype Price Volatility
In the context of predicting US Foods' stock value on the day after the next significant headline, we show statistically significant boundaries of downside and upside scenarios based on US Foods' historical news coverage. US Foods' after-hype downside and upside margins for the prediction period are 66.69 and 69.15, respectively. We have considered US Foods' 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
US Foods is very steady at this time. Analysis and calculation of next after-hype price of US Foods Holding is based on 3 months time horizon.
US Foods Stock Price Prediction Analysis
Have you ever been surprised when a price of a Company such as US Foods is soaring high without any particular reason? This is usually happening because many institutional investors are aggressively trading US Foods 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 US Foods, 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 |
0.24 | 1.23 | 0.00 | 0.07 | 10 Events / Month | 7 Events / Month | In about 10 days |
| Latest traded price | Expected after-news price | Potential return on next major news | Average after-hype volatility | ||
67.92 | 67.92 | 0.00 |
|
US Foods Hype Timeline
US Foods Holding is at this time traded for 67.92. The entity stock is not elastic to its hype. The average elasticity to hype of competition is -0.07. USFD 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 over 100%. The immediate return on the next news is forecasted to be very small, whereas the daily expected return is at this time at 0.24%. %. The volatility of related hype on US Foods is about 427.41%, with the expected price after the next announcement by competition of 67.85. About 100.0% of the company outstanding shares are owned by institutional investors. The book value of US Foods was at this time reported as 19.57. The company has Price/Earnings To Growth (PEG) ratio of 0.24. US Foods Holding had not issued any dividends in recent years. Given the investment horizon of 90 days the next forecasted press release will be in about 10 days. Check out US Foods Basic Forecasting Models to cross-verify your projections.US Foods Related Hype Analysis
Having access to credible news sources related to US Foods' direct competition is more important than ever and may enhance your ability to predict US Foods' future price movements. Getting to know how US Foods' 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 US Foods may potentially react to the hype associated with one of its peers.
| HypeElasticity | NewsDensity | SemiDeviation | InformationRatio | PotentialUpside | ValueAt Risk | MaximumDrawdown | |||
| CHEF | The Chefs Warehouse | 0.22 | 9 per month | 1.65 | 0.03 | 3.32 | (2.71) | 8.59 | |
| SYY | Sysco | 0.62 | 9 per month | 0.00 | (0.12) | 1.43 | (1.80) | 5.28 | |
| SPTN | SpartanNash Co | 0.23 | 9 per month | 0.00 | (0.13) | 2.26 | (3.34) | 16.02 | |
| CVGW | Calavo Growers | (0.52) | 8 per month | 1.48 | 0.03 | 4.84 | (2.66) | 14.87 | |
| PFGC | Performance Food Group | 0.73 | 8 per month | 0.79 | 0.09 | 2.42 | (1.54) | 9.40 | |
| UNFI | United Natural Foods | (0.42) | 12 per month | 2.55 | 0.18 | 5.19 | (4.28) | 40.04 | |
| ANDE | The Andersons | (0.53) | 8 per month | 0.00 | (0.05) | 2.61 | (2.78) | 15.56 | |
| AVO | Mission Produce | 0.08 | 11 per month | 1.02 | 0.09 | 2.43 | (2.01) | 24.92 | |
| DIT | AMCON Distributing | (3.00) | 7 per month | 0.00 | (0.06) | 7.69 | (5.43) | 20.23 |
US Foods Additional Predictive Modules
Most predictive techniques to examine USFD price help traders to determine how to time the market. We provide a combination of tools to recognize potential entry and exit points for USFD using various technical indicators. When you analyze USFD 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 US Foods Predictive Indicators
The successful prediction of US Foods 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 US Foods Holding, 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 US Foods based on analysis of US Foods hews, social hype, general headline patterns, and widely used predictive technical indicators.
We also calculate exposure to US Foods's market risk, different technical and fundamental indicators, relevant financial multiples and ratios, and then comparing them to US Foods's related companies. | 2016 | 2023 (projected) | Dividend Yield | 0.12 | 0.005584 | Price To Sales Ratio | 0.24 | 0.2 |
Story Coverage note for US Foods
The number of cover stories for US Foods depends on current market conditions and US Foods' risk-adjusted performance over time. The coverage that generates the most noise at a given time depends on the prevailing investment theme that US Foods 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 US Foods' long-term prospects. So, having above-average coverage will typically attract above-average short interest, leading to significant price volatility.
Contributor Headline
Latest Perspective From Macroaxis
US Foods Short Properties
US Foods' future price predictability will typically decrease when US Foods' long traders begin to feel the short-sellers pressure to drive the price lower. The predictive aspect of US Foods Holding often depends not only on the future outlook of the potential US Foods' 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. US Foods' indicators that are reflective of the short sentiment are summarized in the table below.
| Common Stock Shares Outstanding | 250 M | |
| Cash And Short Term Investments | 269 M |
Complementary Tools for USFD Stock analysis
When running US Foods' price analysis, check to measure US Foods' 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 US Foods is operating at the current time. Most of US Foods' value examination focuses on studying past and present price action to predict the probability of US Foods' future price movements. You can analyze the entity against its peers and the financial market as a whole to determine factors that move US Foods' price. Additionally, you may evaluate how the addition of US Foods to your portfolios can decrease your overall portfolio volatility.
| Efficient Frontier Plot and analyze your portfolio and positions against risk-return landscape of the market. | |
| Balance Of Power Check stock momentum by analyzing Balance Of Power indicator and other technical ratios | |
| Portfolio Rebalancing Analyze risk-adjusted returns against different time horizons to find asset-allocation targets | |
| Equity Analysis Research over 250,000 global equities including funds, stocks and ETFs to find investment opportunities | |
| Portfolio Comparator Compare the composition, asset allocations and performance of any two portfolios in your account | |
| Price Exposure Probability Analyze equity upside and downside potential for a given time horizon across multiple markets | |
| Portfolio Volatility Check portfolio volatility and analyze historical return density to properly model market risk | |
| Fundamental Analysis View fundamental data based on most recent published financial statements | |
| Cryptocurrency Center Build and monitor diversified portfolio of extremely risky digital assets and cryptocurrency |