Strainsforpains Stock Market Value
| EBYH Stock | USD 0.18 0.03 14.29% |
| Symbol | Strainsforpains |
Strainsforpains '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 Strainsforpains' 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 Strainsforpains.
| 02/11/2023 |
| 01/31/2025 |
If you would invest 0.00 in Strainsforpains on February 11, 2023 and sell it all today you would earn a total of 0.00 from holding Strainsforpains or generate 0.0% return on investment in Strainsforpains over 720 days. Strainsforpains is related to or competes with Certara, OPTIMIZERx Corp, National Research, Omnicell, Schrodinger, Veeva Systems, and Doximity. Strainsforpains, Inc. operates as a medical marijuana data recommendation system More
Strainsforpains 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 Strainsforpains' 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 Strainsforpains upside and downside potential and time the market with a certain degree of confidence.
| Information Ratio | (0.06) | |||
| Maximum Drawdown | 30.95 | |||
| Value At Risk | (8.70) | |||
| Potential Upside | 4.76 |
Strainsforpains Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for Strainsforpains' investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as Strainsforpains' standard deviation. In reality, there are many statistical measures that can use Strainsforpains historical prices to predict the future Strainsforpains' volatility.| Risk Adjusted Performance | (0.02) | |||
| Jensen Alpha | (0.19) | |||
| Total Risk Alpha | (0.51) | |||
| Treynor Ratio | (0.17) |
Sophisticated investors, who have witnessed many market ups and downs, anticipate that the market will even out over time. This tendency of Strainsforpains' 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.
Strainsforpains Backtested Returns
Strainsforpains owns Efficiency Ratio (i.e., Sharpe Ratio) of -0.032, which indicates the firm had a -0.032 % return per unit of risk over the last 3 months. Strainsforpains exposes twenty-two different technical indicators, which can help you to evaluate volatility embedded in its price movement. Please validate Strainsforpains' Risk Adjusted Performance of (0.02), variance of 12.89, and Coefficient Of Variation of (3,129) to confirm the risk estimate we provide. The entity has a beta of 0.72, which indicates possible diversification benefits within a given portfolio. As returns on the market increase, Strainsforpains' returns are expected to increase less than the market. However, during the bear market, the loss of holding Strainsforpains is expected to be smaller as well. At this point, Strainsforpains has a negative expected return of -0.11%. Please make sure to validate Strainsforpains' jensen alpha, skewness, as well as the relationship between the Skewness and day typical price , to decide if Strainsforpains performance from the past will be repeated at some point in the near future.
Auto-correlation | -0.22 |
Weak reverse predictability
Strainsforpains has weak reverse predictability. Overlapping area represents the amount of predictability between Strainsforpains time series from 11th of February 2023 to 6th of February 2024 and 6th of February 2024 to 31st of January 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 Strainsforpains price movement. The serial correlation of -0.22 indicates that over 22.0% of current Strainsforpains price fluctuation can be explain by its past prices.
| Correlation Coefficient | -0.22 | |
| Spearman Rank Test | -0.44 | |
| Residual Average | 0.0 | |
| Price Variance | 0.0 |
Strainsforpains lagged returns against current returns
Autocorrelation, which is Strainsforpains 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 Strainsforpains' pink sheet expected returns. We can calculate the autocorrelation of Strainsforpains returns to help us make a trade decision. For example, suppose you find that Strainsforpains 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 |
Strainsforpains 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 Strainsforpains pink sheet is displaying a positive serial correlation, investors will expect a positive pattern to continue. However, if Strainsforpains pink sheet is observed to have a negative serial correlation, investors will generally project negative sentiment on having a locked-in long position in Strainsforpains pink sheet over time.
Current vs Lagged Prices |
| Timeline |
Strainsforpains Lagged Returns
When evaluating Strainsforpains' market value, investors can use the concept of autocorrelation to see how much of an impact past prices of Strainsforpains pink sheet have on its future price. Strainsforpains 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, Strainsforpains autocorrelation shows the relationship between Strainsforpains pink sheet current value and its past values and can show if there is a momentum factor associated with investing in Strainsforpains.
Regressed Prices |
| Timeline |
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Other Information on Investing in Strainsforpains Pink Sheet
Strainsforpains financial ratios help investors to determine whether Strainsforpains 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 Strainsforpains with respect to the benefits of owning Strainsforpains security.