Where Food Stock Forward View - Simple Moving Average
| WFCF Stock | USD 11.10 0.20 1.77% |
Where Stock outlook is based on your current time horizon. We suggest always using this module together with an analysis of Where Food's historical fundamentals, such as revenue growth or operating cash flow patterns.
As of 2nd of February 2026, the relative strength index (RSI) of Where Food's share price is approaching 41. This entails that the stock is in nutural position, most likellhy at or near its support level. The main point of RSI analysis is to track how fast people are buying or selling Where Food, making its price go up or down. Momentum 41
Sell Extended
Oversold | Overbought |
Quarterly Earnings Growth 1.41 | Wall Street Target Price 18.3 | Quarterly Revenue Growth (0.01) |
Using Where Food hype-based prediction, you can estimate the value of Where Food Comes from the perspective of Where Food response to recently generated media hype and the effects of current headlines on its competitors.
The Simple Moving Average forecasted value of Where Food Comes on the next trading day is expected to be 11.10 with a mean absolute deviation of 0.19 and the sum of the absolute errors of 11.50. Where Food after-hype prediction price | USD 11.1 |
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 Where Food to cross-verify your projections. Where Food Additional Predictive Modules
Most predictive techniques to examine Where price help traders to determine how to time the market. We provide a combination of tools to recognize potential entry and exit points for Where using various technical indicators. When you analyze Where 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 |
Where Food Simple Moving Average Price Forecast For the 3rd of February
Given 90 days horizon, the Simple Moving Average forecasted value of Where Food Comes on the next trading day is expected to be 11.10 with a mean absolute deviation of 0.19, mean absolute percentage error of 0.07, and the sum of the absolute errors of 11.50.Please note that although there have been many attempts to predict Where Stock prices using its time series forecasting, we generally do not suggest using it to place bets in the real market. The most commonly used models for forecasting predictions are the autoregressive models, which specify that Where Food's next future price depends linearly on its previous prices and some stochastic term (i.e., imperfectly predictable multiplier).
Where Food Stock Forecast Pattern
| Backtest Where Food | Where Food Price Prediction | Research Analysis |
Where Food Forecasted Value
In the context of forecasting Where Food'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. Where Food's downside and upside margins for the forecasting period are 9.18 and 13.02, respectively. We have considered Where Food'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 Moving Average forecasting method's relative quality and the estimations of the prediction error of Where Food stock data series using in forecasting. Note that when a statistical model is used to represent Where Food 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 | 111.8338 |
| Bias | Arithmetic mean of the errors | 0.0366 |
| MAD | Mean absolute deviation | 0.1949 |
| MAPE | Mean absolute percentage error | 0.0163 |
| SAE | Sum of the absolute errors | 11.5 |
Predictive Modules for Where Food
There are currently many different techniques concerning forecasting the market as a whole, as well as predicting future values of individual securities such as Where Food Comes. 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.Sophisticated investors, who have witnessed many market ups and downs, anticipate that the market will even out over time. This tendency of Where Food's price to converge to an average value over time is called mean reversion. However, historically, high market prices usually discourage investors that believe in mean reversion to invest, while low prices are viewed as an opportunity to buy.
Where Food After-Hype Price Density Analysis
As far as predicting the price of Where Food 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 Where Food 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 Where Food, with the unreliable approximations that try to describe financial returns.
Next price density |
| Expected price to next headline |
Where Food Estimiated After-Hype Price Volatility
In the context of predicting Where Food's stock value on the day after the next significant headline, we show statistically significant boundaries of downside and upside scenarios based on Where Food's historical news coverage. Where Food's after-hype downside and upside margins for the prediction period are 9.19 and 13.01, respectively. We have considered Where Food'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 compare with traditional linear, nonlinear models or artificial intelligence models to provide accurate predictions consistently.
Current Value
Where Food is not too volatile at this time. Analysis and calculation of next after-hype price of Where Food Comes is based on 3 months time horizon.
Where Food Stock Price Outlook Analysis
Have you ever been surprised when a price of a Company such as Where Food is soaring high without any particular reason? This is usually happening because many institutional investors are aggressively trading Where Food 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 Where Food, 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 |
0.18 | 1.92 | 0.11 | 0.04 | 8 Events / Month | 6 Events / Month | In about 8 days |
| Latest traded price | Expected after-news price | Potential return on next major news | Average after-hype volatility | |
11.10 | 11.10 | 0.00 |
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Where Food Hype Timeline
Where Food Comes is at this time traded for 11.10. The entity has historical hype elasticity of 0.11, and average elasticity to hype of competition of 0.04. Where 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 -0.18%. %. The volatility of related hype on Where Food is about 909.95%, with the expected price after the next announcement by competition of 11.14. About 52.0% of the company outstanding shares are owned by insiders. The company last dividend was issued on the 26th of July 2021. Where Food Comes had 1:4 split on the 7th of December 2020. Given the investment horizon of 90 days the next forecasted press release will be in about 8 days. Check out Historical Fundamental Analysis of Where Food to cross-verify your projections.Where Food Related Hype Analysis
Having access to credible news sources related to Where Food's direct competition is more important than ever and may enhance your ability to predict Where Food's future price movements. Getting to know how Where Food'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 Where Food may potentially react to the hype associated with one of its peers.
| HypeElasticity | NewsDensity | SemiDeviation | InformationRatio | PotentialUpside | ValueAt Risk | MaximumDrawdown | |||
| YXT | YXTCOM GROUP HOLDING | (0.02) | 5 per month | 0.00 | (0.03) | 11.11 | (10.00) | 41.05 | |
| HKIT | Hitek Global Ordinary | 0.09 | 5 per month | 9.63 | 0.04 | 12.23 | (15.12) | 122.99 | |
| UPLD | Upland Software | 0.02 | 10 per month | 0.00 | (0.24) | 5.23 | (5.42) | 11.78 | |
| ATHR | Aether Holdings | 0.06 | 9 per month | 3.27 | 0.02 | 7.88 | (4.62) | 18.55 | |
| QH | Quhuo | 0.03 | 9 per month | 0.00 | (0.06) | 25.50 | (14.29) | 109.99 | |
| SNCR | Synchronoss Technologies | 0.03 | 11 per month | 2.09 | 0.13 | 6.21 | (5.80) | 66.10 | |
| SOGP | Lizhi Inc | 1.97 | 3 per month | 0.00 | (0.02) | 10.82 | (10.01) | 37.07 | |
| KNRX | KNOREX LTD | 0.07 | 4 per month | 0.00 | (0.1) | 11.57 | (10.20) | 41.01 | |
| NUKK | Nukkleus | (0.11) | 10 per month | 0.00 | (0.20) | 13.02 | (12.32) | 38.98 | |
| MSAI | Infrared Cameras Holdings | (0.03) | 6 per month | 0.00 | (0.08) | 18.82 | (17.16) | 63.02 |
Other Forecasting Options for Where Food
For every potential investor in Where, whether a beginner or expert, Where Food's price movement is the inherent factor that sparks whether it is viable to invest in it or hold it better. Where Stock price charts are filled with many 'noises.' These noises can hugely alter the decision one can make regarding investing in Where. Basic forecasting techniques help filter out the noise by identifying Where Food's price trends.Where Food 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 Where Food stock to make a market-neutral strategy. Peer analysis of Where Food could also be used in its relative valuation, which is a method of valuing Where Food by comparing valuation metrics with similar companies.
| Risk & Return | Correlation |
Where Food Market Strength Events
Market strength indicators help investors to evaluate how Where Food stock reacts to ongoing and evolving market conditions. The investors can use it to make informed decisions about market timing, and determine when trading Where Food shares will generate the highest return on investment. By undertsting and applying Where Food stock market strength indicators, traders can identify Where Food Comes entry and exit signals to maximize returns.
| Rate Of Daily Change | 0.98 | |||
| Day Median Price | 11.1 | |||
| Day Typical Price | 11.1 | |||
| Price Action Indicator | (0.10) | |||
| Period Momentum Indicator | (0.20) | |||
| Relative Strength Index | 41.71 |
Where Food Risk Indicators
The analysis of Where Food's basic risk indicators is one of the essential steps in accurately forecasting its future price. The process involves identifying the amount of risk involved in Where Food's investment and either accepting that risk or mitigating it. Along with some essential techniques for forecasting where stock prices, we also provide a set of basic risk indicators that can assist in the individual investment decision or help in hedging the risk of your existing portfolios.
| Mean Deviation | 1.25 | |||
| Standard Deviation | 1.86 | |||
| Variance | 3.47 |
Please note, the risk measures we provide can be used independently or collectively to perform a risk assessment. When comparing two potential investments, we recommend comparing similar equities with homogenous growth potential and valuation from related markets to determine which investment holds the most risk.
Story Coverage note for Where Food
The number of cover stories for Where Food depends on current market conditions and Where Food's risk-adjusted performance over time. The coverage that generates the most noise at a given time depends on the prevailing investment theme that Where Food 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 Where Food'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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Where Food Short Properties
Where Food's future price predictability will typically decrease when Where Food's long traders begin to feel the short-sellers pressure to drive the price lower. The predictive aspect of Where Food Comes often depends not only on the future outlook of the potential Where Food'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. Where Food's indicators that are reflective of the short sentiment are summarized in the table below.
| Common Stock Shares Outstanding | 5.3 M | |
| Cash And Short Term Investments | 2 M |
Check out Historical Fundamental Analysis of Where Food to cross-verify your projections. You can also try the Equity Forecasting module to use basic forecasting models to generate price predictions and determine price momentum.
Can Research & Consulting Services industry sustain growth momentum? Does Where have expansion opportunities? Factors like these will boost the valuation of Where Food. Anticipated expansion of Where directly elevates investor willingness to pay premium valuations. Determining accurate worth demands scrutiny of both present operating results and projected expansion capacity. Evaluating Where Food demands reviewing these metrics collectively while recognizing certain factors exert disproportionate influence.
Quarterly Earnings Growth 1.41 | Earnings Share 0.52 | Revenue Per Share | Quarterly Revenue Growth (0.01) | Return On Assets |
Understanding Where Food Comes requires distinguishing between market price and book value, where the latter reflects Where's accounting equity. The concept of intrinsic value—what Where Food's is actually worth based on fundamentals—guides informed investors toward better entry and exit points. Market participants employ diverse analytical approaches to determine fair value and identify buying opportunities when prices dip below calculated worth. Market sentiment, economic cycles, and investor behavior can push Where Food's price substantially above or below its fundamental value.
Please note, there is a significant difference between Where Food's value and its price as these two are different measures arrived at by different means. Investors typically determine if Where Food is a good investment by looking at such factors as earnings, sales, fundamental and technical indicators, competition as well as analyst projections. In contrast, Where Food's trading price reflects the actual exchange value where willing buyers and sellers reach mutual agreement.