Where Food Comes Stock Market Value
| WFCF Stock | USD 12.49 0.12 0.97% |
| Symbol | Where |
Where Food Comes Price To Book Ratio
Is Application Software space 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.
Earnings Share 0.36 | Revenue Per Share | Quarterly Revenue Growth 0.044 | Return On Assets | Return On Equity |
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.
| 01/02/2025 |
| 02/01/2025 |
If you would invest 0.00 in Where Food on January 2, 2025 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 Issuer Direct, Smith Midland, Bm Technologies, 1StdibsCom, and Rimini Street. 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.
| Downside Deviation | 3.24 | |||
| Information Ratio | 0.0378 | |||
| Maximum Drawdown | 17.91 | |||
| Value At Risk | (4.48) | |||
| Potential Upside | 4.26 |
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 | 0.0634 | |||
| Jensen Alpha | 0.1569 | |||
| Total Risk Alpha | (0.05) | |||
| Sortino Ratio | 0.031 | |||
| Treynor Ratio | 0.9478 |
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 appears to be somewhat reliable, given 3 months investment horizon. Where Food Comes shows Sharpe Ratio of 0.0812, which attests that the company had a 0.0812 % return per unit of risk over the last 3 months. We have found twenty-nine technical indicators for Where Food Comes, which you can use to evaluate the volatility of the company. Please utilize Where Food's Market Risk Adjusted Performance of 0.9578, downside deviation of 3.24, and Mean Deviation of 1.79 to validate if our risk estimates are consistent with your expectations. On a scale of 0 to 100, Where Food holds a performance score of 6. The firm maintains a market beta of 0.18, which attests to not very significant fluctuations relative to the market. As returns on the market increase, Where Food's returns are expected to increase less than the market. However, during the bear market, the loss of holding Where Food is expected to be smaller as well. Please check Where Food's jensen alpha, potential upside, accumulation distribution, as well as the relationship between the treynor ratio and expected short fall , to make a quick decision on whether Where Food's historical returns will revert.
Auto-correlation | -0.07 |
Very weak reverse predictability
Where Food Comes has very weak reverse predictability. Overlapping area represents the amount of predictability between Where Food time series from 2nd of January 2025 to 17th of January 2025 and 17th of January 2025 to 1st of February 2025. 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 -0.07 indicates that barely 7.0% of current Where Food price fluctuation can be explain by its past prices.
| Correlation Coefficient | -0.07 | |
| Spearman Rank Test | -0.38 | |
| Residual Average | 0.0 | |
| Price Variance | 0.04 |
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 |
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Check out Where Food Correlation, Where Food Volatility and Where Food Alpha and Beta module to complement your research on Where Food. You can also try the Commodity Directory module to find actively traded commodities issued by global exchanges.
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.