Where Food Comes Stock Market Value
| WFCF Stock | USD 11.40 0.27 2.43% |
| Symbol | Where |
Where Food Comes Price To Book Ratio
Is Where Food's industry expected to grow? Or is there an opportunity to expand the business' product line in the future? Factors like these will boost the valuation of Where Food. If investors know Where will grow in the future, the company's valuation will be higher. The financial industry is built on trying to define current growth potential and future valuation accurately. All the valuation information about Where Food listed above have to be considered, but the key to understanding future value is determining which factors weigh more heavily than others.
Quarterly Earnings Growth 0.895 | Earnings Share 0.39 | Revenue Per Share 4.582 | Quarterly Revenue Growth 0.105 | Return On Assets 0.0975 |
The market value of Where Food Comes is measured differently than its book value, which is the value of Where that is recorded on the company's balance sheet. Investors also form their own opinion of Where Food's value that differs from its market value or its book value, called intrinsic value, which is Where Food's true underlying value. Investors use various methods to calculate intrinsic value and buy a stock when its market value falls below its intrinsic value. Because Where Food's market value can be influenced by many factors that don't directly affect Where Food's underlying business (such as a pandemic or basic market pessimism), market value can vary widely from intrinsic 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. However, Where Food's price is the amount at which it trades on the open market and represents the number that a seller and buyer find agreeable to each party.
Where Food 'What if' Analysis
In the world of financial modeling, what-if analysis is part of sensitivity analysis performed to test how changes in assumptions impact individual outputs in a model. When applied to Where Food's stock what-if analysis refers to the analyzing how the change in your past investing horizon will affect the profitability against the current market value of Where Food.
| 03/24/2024 |
| 04/23/2024 |
If you would invest 0.00 in Where Food on March 24, 2024 and sell it all today you would earn a total of 0.00 from holding Where Food Comes or generate 0.0% return on investment in Where Food over 30 days. Where Food is related to or competes with C3 Ai, Shopify, Snowflake, and ServiceNow. Where Food Comes From, Inc., together with its subsidiaries, provides verification and certification solutions for the a... More
Where Food Upside/Downside Indicators
Understanding different market momentum indicators often help investors to time their next move. Potential upside and downside technical ratios enable traders to measure Where Food's stock current market value against overall market sentiment and can be a good tool during both bulling and bearish trends. Here we outline some of the essential indicators to assess Where Food Comes upside and downside potential and time the market with a certain degree of confidence.
| Information Ratio | (0.13) | |||
| Maximum Drawdown | 13.69 | |||
| Value At Risk | (5.76) | |||
| Potential Upside | 4.35 |
Where Food Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for Where Food's investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as Where Food's standard deviation. In reality, there are many statistical measures that can use Where Food historical prices to predict the future Where Food's volatility.| Risk Adjusted Performance | (0.05) | |||
| Jensen Alpha | (0.25) | |||
| Total Risk Alpha | (0.65) | |||
| Treynor Ratio | 0.5385 |
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 Comes Backtested Returns
Where Food Comes shows Sharpe Ratio of -0.0787, which attests that the company had a -0.0787% return per unit of risk over the last 3 months. Where Food Comes exposes twenty-three different technical indicators, which can help you to evaluate volatility embedded in its price movement. Please check out Where Food's Market Risk Adjusted Performance of 0.5485, mean deviation of 1.92, and Standard Deviation of 2.87 to validate the risk estimate we provide. The firm maintains a market beta of -0.54, which attests to possible diversification benefits within a given portfolio. As returns on the market increase, returns on owning Where Food are expected to decrease at a much lower rate. During the bear market, Where Food is likely to outperform the market. Where Food Comes has an expected return of -0.23%. Please make sure to check out Where Food Comes treynor ratio, accumulation distribution, price action indicator, as well as the relationship between the potential upside and day median price , to decide if Where Food Comes performance from the past will be repeated at some point in the near future.
Auto-correlation | -0.69 |
Very good reverse predictability
Where Food Comes has very good reverse predictability. Overlapping area represents the amount of predictability between Where Food time series from 24th of March 2024 to 8th of April 2024 and 8th of April 2024 to 23rd of April 2024. The more autocorrelation exist between current time interval and its lagged values, the more accurately you can make projection about the future pattern of Where Food Comes price movement. The serial correlation of -0.69 indicates that around 69.0% of current Where Food price fluctuation can be explain by its past prices.
| Correlation Coefficient | -0.69 | |
| Spearman Rank Test | -0.32 | |
| Residual Average | 0.0 | |
| Price Variance | 0.11 |
Where Food Comes lagged returns against current returns
Autocorrelation, which is Where Food stock's lagged correlation, explains the relationship between observations of its time series of returns over different periods of time. The observations are said to be independent if autocorrelation is zero. Autocorrelation is calculated as a function of mean and variance and can have practical application in predicting Where Food's stock expected returns. We can calculate the autocorrelation of Where Food returns to help us make a trade decision. For example, suppose you find that Where Food has exhibited high autocorrelation historically, and you observe that the stock is moving up for the past few days. In that case, you can expect the price movement to match the lagging time series.
Current and Lagged Values |
| Timeline |
Where Food regressed lagged prices vs. current prices
Serial correlation can be approximated by using the Durbin-Watson (DW) test. The correlation can be either positive or negative. If Where Food stock is displaying a positive serial correlation, investors will expect a positive pattern to continue. However, if Where Food stock is observed to have a negative serial correlation, investors will generally project negative sentiment on having a locked-in long position in Where Food stock over time.
Current vs Lagged Prices |
| Timeline |
Where Food Lagged Returns
When evaluating Where Food's market value, investors can use the concept of autocorrelation to see how much of an impact past prices of Where Food stock have on its future price. Where Food autocorrelation represents the degree of similarity between a given time horizon and a lagged version of the same horizon over the previous time interval. In other words, Where Food autocorrelation shows the relationship between Where Food stock current value and its past values and can show if there is a momentum factor associated with investing in Where Food Comes.
Regressed Prices |
| Timeline |
Also Currently Popular
Analyzing currently trending equities could be an opportunity to develop a better portfolio based on different market momentums that they can trigger. Utilizing the top trending stocks is also useful when creating a market-neutral strategy or pair trading technique involving a short or a long position in a currently trending equity.When determining whether Where Food Comes is a strong investment it is important to analyze Where Food's competitive position within its industry, examining market share, product or service uniqueness, and competitive advantages. Beyond financials and market position, potential investors should also consider broader economic conditions, industry trends, and any regulatory or geopolitical factors that may impact Where Food's future performance. For an informed investment choice regarding Where Stock, refer to the following important reports:Check out Where Food Correlation, Where Food Volatility and Where Food Alpha and Beta module to complement your research on Where Food. Note that the Where Food Comes information on this page should be used as a complementary analysis to other Where Food's statistical models used to find the right mix of equity instruments to add to your existing portfolios or create a brand new portfolio. You can also try the Efficient Frontier module to plot and analyze your portfolio and positions against risk-return landscape of the market..
Complementary Tools for Where Stock analysis
When running Where Food's price analysis, check to measure Where Food'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 Where Food is operating at the current time. Most of Where Food's value examination focuses on studying past and present price action to predict the probability of Where Food's future price movements. You can analyze the entity against its peers and the financial market as a whole to determine factors that move Where Food's price. Additionally, you may evaluate how the addition of Where Food to your portfolios can decrease your overall portfolio volatility.
| Content Syndication Quickly integrate customizable finance content to your own investment portal | |
| Theme Ratings Determine theme ratings based on digital equity recommendations. Macroaxis theme ratings are based on combination of fundamental analysis and risk-adjusted market performance | |
| Financial Widgets Easily integrated Macroaxis content with over 30 different plug-and-play financial widgets | |
| Companies Directory Evaluate performance of over 100,000 Stocks, Funds, and ETFs against different fundamentals | |
| Global Correlations Find global opportunities by holding instruments from different markets | |
| Bollinger Bands Use Bollinger Bands indicator to analyze target price for a given investing horizon | |
| Pattern Recognition Use different Pattern Recognition models to time the market across multiple global exchanges | |
| Global Markets Map Get a quick overview of global market snapshot using zoomable world map. Drill down to check world indexes | |
| AI Investment Finder Use AI to screen and filter profitable investment opportunities | |
| Stock Tickers Use high-impact, comprehensive, and customizable stock tickers that can be easily integrated to any websites | |
| Fundamentals Comparison Compare fundamentals across multiple equities to find investing opportunities | |
| Transaction History View history of all your transactions and understand their impact on performance |
Where Food technical stock analysis exercises models and trading practices based on price and volume transformations, such as the moving averages, relative strength index, regressions, price and return correlations, business cycles, stock market cycles, or different charting patterns.