Qs Energy Stock Market Value
| QSEP Stock | USD 0.16 0.01 6.67% |
| Symbol | QSEP |
QS Energy '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 QS Energy'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 QS Energy.
| 06/28/2025 |
| 12/25/2025 |
If you would invest 0.00 in QS Energy on June 28, 2025 and sell it all today you would earn a total of 0.00 from holding QS Energy or generate 0.0% return on investment in QS Energy over 180 days. QS Energy is related to or competes with Jutal Offshore, Renergen, Source Energy, Pulse Seismic, Pharos Energy, Tethys Petroleum, and Questerre Energy. QS Energy, Inc. develops and commercializes energy efficiency technologies in the United States and internationally More
QS Energy 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 QS Energy'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 QS Energy upside and downside potential and time the market with a certain degree of confidence.
| Information Ratio | (0.15) | |||
| Maximum Drawdown | 21.74 | |||
| Value At Risk | (10.00) | |||
| Potential Upside | 7.69 |
QS Energy Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for QS Energy's investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as QS Energy's standard deviation. In reality, there are many statistical measures that can use QS Energy historical prices to predict the future QS Energy's volatility.| Risk Adjusted Performance | (0.09) | |||
| Jensen Alpha | (0.66) | |||
| Total Risk Alpha | (1.02) | |||
| Treynor Ratio | (1.44) |
Sophisticated investors, who have witnessed many market ups and downs, anticipate that the market will even out over time. This tendency of QS Energy'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.
QS Energy Backtested Returns
QS Energy retains Efficiency (Sharpe Ratio) of -0.12, which implies the firm had a -0.12 % return per unit of price deviation over the last 3 months. QS Energy exposes twenty-one different technical indicators, which can help you to evaluate volatility embedded in its price movement. Please check QS Energy's market risk adjusted performance of (1.43), and Information Ratio of (0.15) to confirm the risk estimate we provide. The company owns a Beta (Systematic Risk) of 0.44, which implies possible diversification benefits within a given portfolio. As returns on the market increase, QS Energy's returns are expected to increase less than the market. However, during the bear market, the loss of holding QS Energy is expected to be smaller as well. At this point, QS Energy has a negative expected return of -0.54%. Please make sure to check QS Energy's variance, as well as the relationship between the potential upside and day median price , to decide if QS Energy performance from the past will be repeated at some future date.
Auto-correlation | -0.23 |
Weak reverse predictability
QS Energy has weak reverse predictability. Overlapping area represents the amount of predictability between QS Energy time series from 28th of June 2025 to 26th of September 2025 and 26th of September 2025 to 25th 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 QS Energy price movement. The serial correlation of -0.23 indicates that over 23.0% of current QS Energy price fluctuation can be explain by its past prices.
| Correlation Coefficient | -0.23 | |
| Spearman Rank Test | -0.37 | |
| Residual Average | 0.0 | |
| Price Variance | 0.0 |
QS Energy lagged returns against current returns
Autocorrelation, which is QS Energy 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 QS Energy's pink sheet expected returns. We can calculate the autocorrelation of QS Energy returns to help us make a trade decision. For example, suppose you find that QS Energy 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 |
QS Energy 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 QS Energy pink sheet is displaying a positive serial correlation, investors will expect a positive pattern to continue. However, if QS Energy pink sheet is observed to have a negative serial correlation, investors will generally project negative sentiment on having a locked-in long position in QS Energy pink sheet over time.
Current vs Lagged Prices |
| Timeline |
QS Energy Lagged Returns
When evaluating QS Energy's market value, investors can use the concept of autocorrelation to see how much of an impact past prices of QS Energy pink sheet have on its future price. QS Energy 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, QS Energy autocorrelation shows the relationship between QS Energy pink sheet current value and its past values and can show if there is a momentum factor associated with investing in QS Energy.
Regressed Prices |
| Timeline |
Pair Trading with QS Energy
One of the main advantages of trading using pair correlations is that every trade hedges away some risk. Because there are two separate transactions required, even if QS Energy position performs unexpectedly, the other equity can make up some of the losses. Pair trading also minimizes risk from directional movements in the market. For example, if an entire industry or sector drops because of unexpected headlines, the short position in QS Energy will appreciate offsetting losses from the drop in the long position's value.Moving against QSEP Pink Sheet
| 0.9 | RLMD | Relmada Therapeutics | PairCorr |
| 0.89 | REGN | Regeneron Pharmaceuticals | PairCorr |
| 0.86 | IDN | Intellicheck Mobilisa | PairCorr |
| 0.85 | CX | Cemex SAB de Sell-off Trend | PairCorr |
| 0.8 | GM | General Motors | PairCorr |
The ability to find closely correlated positions to QS Energy could be a great tool in your tax-loss harvesting strategies, allowing investors a quick way to find a similar-enough asset to replace QS Energy when you sell it. If you don't do this, your portfolio allocation will be skewed against your target asset allocation. So, investors can't just sell and buy back QS Energy - that would be a violation of the tax code under the "wash sale" rule, and this is why you need to find a similar enough asset and use the proceeds from selling QS Energy to buy it.
The correlation of QS Energy is a statistical measure of how it moves in relation to other instruments. This measure is expressed in what is known as the correlation coefficient, which ranges between -1 and +1. A perfect positive correlation (i.e., a correlation coefficient of +1) implies that as QS Energy moves, either up or down, the other security will move in the same direction. Alternatively, perfect negative correlation means that if QS Energy moves in either direction, the perfectly negatively correlated security will move in the opposite direction. If the correlation is 0, the equities are not correlated; they are entirely random. A correlation greater than 0.8 is generally described as strong, whereas a correlation less than 0.5 is generally considered weak.
Correlation analysis and pair trading evaluation for QS Energy can also be used as hedging techniques within a particular sector or industry or even over random equities to generate a better risk-adjusted return on your portfolios.Additional Tools for QSEP Pink Sheet Analysis
When running QS Energy's price analysis, check to measure QS Energy'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 QS Energy is operating at the current time. Most of QS Energy's value examination focuses on studying past and present price action to predict the probability of QS Energy's future price movements. You can analyze the entity against its peers and the financial market as a whole to determine factors that move QS Energy's price. Additionally, you may evaluate how the addition of QS Energy to your portfolios can decrease your overall portfolio volatility.