Qualstar Stock Market Value
| QBAK Stock | USD 18.65 0.05 0.27% |
| Symbol | Qualstar |
Qualstar '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 Qualstar's 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 Qualstar.
| 11/29/2025 |
| 12/29/2025 |
If you would invest 0.00 in Qualstar on November 29, 2025 and sell it all today you would earn a total of 0.00 from holding Qualstar or generate 0.0% return on investment in Qualstar over 30 days. Qualstar is related to or competes with CHAR Technologies, Greenlane Renewables, and EnWave. Qualstar Corporation engages in power solutions and data storage systems businesses worldwide More
Qualstar 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 Qualstar's 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 Qualstar upside and downside potential and time the market with a certain degree of confidence.
| Downside Deviation | 7.88 | |||
| Information Ratio | 0.0751 | |||
| Maximum Drawdown | 43.61 | |||
| Value At Risk | (5.24) | |||
| Potential Upside | 13.31 |
Qualstar Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for Qualstar's investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as Qualstar's standard deviation. In reality, there are many statistical measures that can use Qualstar historical prices to predict the future Qualstar's volatility.| Risk Adjusted Performance | 0.0716 | |||
| Jensen Alpha | 0.4387 | |||
| Total Risk Alpha | (0.12) | |||
| Sortino Ratio | 0.0567 | |||
| Treynor Ratio | 0.4732 |
Qualstar Backtested Returns
Qualstar appears to be somewhat reliable, given 3 months investment horizon. Qualstar maintains Sharpe Ratio (i.e., Efficiency) of 0.0879, which implies the firm had a 0.0879 % return per unit of risk over the last 3 months. By analyzing Qualstar's technical indicators, you can evaluate if the expected return of 0.53% is justified by implied risk. Please evaluate Qualstar's Risk Adjusted Performance of 0.0716, coefficient of variation of 1118.25, and Semi Deviation of 4.34 to confirm if our risk estimates are consistent with your expectations. On a scale of 0 to 100, Qualstar holds a performance score of 6. The company holds a Beta of 1.1, which implies a somewhat significant risk relative to the market. Qualstar returns are very sensitive to returns on the market. As the market goes up or down, Qualstar is expected to follow. Please check Qualstar's information ratio, downside variance, day typical price, as well as the relationship between the treynor ratio and kurtosis , to make a quick decision on whether Qualstar's historical price patterns will revert.
Auto-correlation | -0.78 |
Almost perfect reverse predictability
Qualstar has almost perfect reverse predictability. Overlapping area represents the amount of predictability between Qualstar time series from 29th of November 2025 to 14th of December 2025 and 14th of December 2025 to 29th of December 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 Qualstar price movement. The serial correlation of -0.78 indicates that around 78.0% of current Qualstar price fluctuation can be explain by its past prices.
| Correlation Coefficient | -0.78 | |
| Spearman Rank Test | -0.72 | |
| Residual Average | 0.0 | |
| Price Variance | 0.23 |
Qualstar lagged returns against current returns
Autocorrelation, which is Qualstar 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 Qualstar's pink sheet expected returns. We can calculate the autocorrelation of Qualstar returns to help us make a trade decision. For example, suppose you find that Qualstar 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 |
Qualstar 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 Qualstar pink sheet is displaying a positive serial correlation, investors will expect a positive pattern to continue. However, if Qualstar pink sheet is observed to have a negative serial correlation, investors will generally project negative sentiment on having a locked-in long position in Qualstar pink sheet over time.
Current vs Lagged Prices |
| Timeline |
Qualstar Lagged Returns
When evaluating Qualstar's market value, investors can use the concept of autocorrelation to see how much of an impact past prices of Qualstar pink sheet have on its future price. Qualstar 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, Qualstar autocorrelation shows the relationship between Qualstar pink sheet current value and its past values and can show if there is a momentum factor associated with investing in Qualstar.
Regressed Prices |
| Timeline |
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Try AI Portfolio ProphetOther Information on Investing in Qualstar Pink Sheet
Qualstar financial ratios help investors to determine whether Qualstar 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 Qualstar with respect to the benefits of owning Qualstar security.