Wildflower Brands Stock Market Value
Wildflower Brands' market value is the price at which a share of Wildflower Brands trades on a public exchange. It measures the collective expectations of Wildflower Brands investors about its performance. With this module, you can estimate the performance of a buy and hold strategy of Wildflower Brands and determine expected loss or profit from investing in Wildflower Brands over a given investment horizon. Check out Wildflower Brands Correlation, Wildflower Brands Volatility and Wildflower Brands Alpha and Beta module to complement your research on Wildflower Brands.
| Symbol | Wildflower |
Wildflower Brands '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 Wildflower Brands' pink sheet 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 Wildflower Brands.
| 08/05/2024 |
| 02/01/2025 |
If you would invest 0.00 in Wildflower Brands on August 5, 2024 and sell it all today you would earn a total of 0.00 from holding Wildflower Brands or generate 0.0% return on investment in Wildflower Brands over 180 days. Wildflower Brands Inc. develops, designs, and sells branded products in the cannabis in Washington and California More
Wildflower Brands 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 Wildflower Brands' pink sheet 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 Wildflower Brands upside and downside potential and time the market with a certain degree of confidence.
Wildflower Brands Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for Wildflower Brands' investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as Wildflower Brands' standard deviation. In reality, there are many statistical measures that can use Wildflower Brands historical prices to predict the future Wildflower Brands' volatility.Wildflower Brands Backtested Returns
We have found zero technical indicators for Wildflower Brands, which you can use to evaluate the volatility of the company. The firm maintains a market beta of 0.0, which attests to not very significant fluctuations relative to the market. the returns on MARKET and Wildflower Brands are completely uncorrelated.
Auto-correlation | 0.00 |
No correlation between past and present
Wildflower Brands has no correlation between past and present. Overlapping area represents the amount of predictability between Wildflower Brands time series from 5th of August 2024 to 3rd of November 2024 and 3rd of November 2024 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 Wildflower Brands price movement. The serial correlation of 0.0 indicates that just 0.0% of current Wildflower Brands price fluctuation can be explain by its past prices.
| Correlation Coefficient | 0.0 | |
| Spearman Rank Test | 1.0 | |
| Residual Average | 0.0 | |
| Price Variance | 0.0 |
Wildflower Brands lagged returns against current returns
Autocorrelation, which is Wildflower Brands pink sheet'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 Wildflower Brands' pink sheet expected returns. We can calculate the autocorrelation of Wildflower Brands returns to help us make a trade decision. For example, suppose you find that Wildflower Brands has exhibited high autocorrelation historically, and you observe that the pink sheet 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 |
Wildflower Brands 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 Wildflower Brands pink sheet is displaying a positive serial correlation, investors will expect a positive pattern to continue. However, if Wildflower Brands pink sheet is observed to have a negative serial correlation, investors will generally project negative sentiment on having a locked-in long position in Wildflower Brands pink sheet over time.
Current vs Lagged Prices |
| Timeline |
Wildflower Brands Lagged Returns
When evaluating Wildflower Brands' market value, investors can use the concept of autocorrelation to see how much of an impact past prices of Wildflower Brands pink sheet have on its future price. Wildflower Brands 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, Wildflower Brands autocorrelation shows the relationship between Wildflower Brands pink sheet current value and its past values and can show if there is a momentum factor associated with investing in Wildflower Brands.
Regressed Prices |
| Timeline |
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Other Information on Investing in Wildflower Pink Sheet
Wildflower Brands financial ratios help investors to determine whether Wildflower Pink Sheet is cheap or expensive when compared to a particular measure, such as profits or enterprise value. In other words, they help investors to determine the cost of investment in Wildflower with respect to the benefits of owning Wildflower Brands security.