Qs Energy Stock Technical Analysis
| QSEP Stock | USD 0.09 0.01 10.00% |
As of the 10th of February, QS Energy owns the information ratio of (0.24), and Market Risk Adjusted Performance of 2.35. Concerning fundamental indicators, the technical analysis model allows you to check potential technical drivers of QS Energy, as well as the relationship between them.
QS Energy Momentum Analysis
Momentum indicators are widely used technical indicators which help to measure the pace at which the price of specific equity, such as QSEP, fluctuates. Many momentum indicators also complement each other and can be helpful when the market is rising or falling as compared to QSEPQSEP |
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.
| 11/12/2025 |
| 02/10/2026 |
If you would invest 0.00 in QS Energy on November 12, 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 90 days. QS Energy is related to or competes with Jutal Offshore, 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 | (0.24) | |||
| Maximum Drawdown | 34.22 | |||
| Value At Risk | (12.00) | |||
| Potential Upside | 6.67 |
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 | (0.17) | |||
| Jensen Alpha | (1.31) | |||
| Total Risk Alpha | (2.03) | |||
| Treynor Ratio | 2.34 |
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 February 10, 2026 Technical Indicators
| Cycle Indicators | ||
| Math Operators | ||
| Math Transform | ||
| Momentum Indicators | ||
| Overlap Studies | ||
| Pattern Recognition | ||
| Price Transform | ||
| Statistic Functions | ||
| Volatility Indicators | ||
| Volume Indicators |
| Risk Adjusted Performance | (0.17) | |||
| Market Risk Adjusted Performance | 2.35 | |||
| Mean Deviation | 4.01 | |||
| Coefficient Of Variation | (454.71) | |||
| Standard Deviation | 6.12 | |||
| Variance | 37.47 | |||
| Information Ratio | (0.24) | |||
| Jensen Alpha | (1.31) | |||
| Total Risk Alpha | (2.03) | |||
| Treynor Ratio | 2.34 | |||
| Maximum Drawdown | 34.22 | |||
| Value At Risk | (12.00) | |||
| Potential Upside | 6.67 | |||
| Skewness | (0.06) | |||
| Kurtosis | 4.65 |
QS Energy Backtested Returns
QS Energy retains Efficiency (Sharpe Ratio) of -0.23, which implies the firm had a -0.23 % return per unit of price deviation over the last 3 months. QS Energy exposes twenty different technical indicators, which can help you to evaluate volatility embedded in its price movement. Please check QS Energy's information ratio of (0.24), and Market Risk Adjusted Performance of 2.35 to confirm the risk estimate we provide. The company owns a Beta (Systematic Risk) of -0.58, which implies possible diversification benefits within a given portfolio. As returns on the market increase, returns on owning QS Energy are expected to decrease at a much lower rate. During the bear market, QS Energy is likely to outperform the market. At this point, QS Energy has a negative expected return of -1.48%. Please make sure to check QS Energy's variance, as well as the relationship between the potential upside and day typical price , to decide if QS Energy performance from the past will be repeated at some future date.
Auto-correlation | 0.88 |
Very good predictability
QS Energy has very good predictability. Overlapping area represents the amount of predictability between QS Energy time series from 12th of November 2025 to 27th of December 2025 and 27th of December 2025 to 10th of February 2026. 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 0.88 indicates that approximately 88.0% of current QS Energy price fluctuation can be explain by its past prices.
| Correlation Coefficient | 0.88 | |
| Spearman Rank Test | 0.66 | |
| Residual Average | 0.0 | |
| Price Variance | 0.0 |
QS Energy technical pink sheet 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, pink sheet market cycles, or different charting patterns.
QS Energy Technical Analysis
The output start index for this execution was one with a total number of output elements of sixty. The Normalized Average True Range is used to analyze tradable apportunities for QS Energy across different markets.
About QS Energy Technical Analysis
The technical analysis module can be used to analyzes prices, returns, volume, basic money flow, and other market information and help investors to determine the real value of QS Energy on a daily or weekly bases. We use both bottom-up as well as top-down valuation methodologies to arrive at the intrinsic value of QS Energy based on its technical analysis. In general, a bottom-up approach, as applied to this company, focuses on QS Energy price pattern first instead of the macroeconomic environment surrounding QS Energy. By analyzing QS Energy's financials, daily price indicators, and related drivers such as dividends, momentum ratios, and various types of growth rates, we attempt to find the most accurate representation of QS Energy's intrinsic value. As compared to a bottom-up approach, our top-down model examines the macroeconomic factors that affect the industry/economy before zooming in to QS Energy specific price patterns or momentum indicators. Please read more on our technical analysis page.
QS Energy February 10, 2026 Technical Indicators
Most technical analysis of QSEP help investors determine whether a current trend will continue and, if not, when it will shift. We provide a combination of tools to recognize potential entry and exit points for QSEP from various momentum indicators to cycle indicators. When you analyze QSEP charts, please remember that the event formation may indicate an entry point for a short seller, and look at different other indicators across different periods to confirm that a breakdown or reversion is likely to occur.
| Cycle Indicators | ||
| Math Operators | ||
| Math Transform | ||
| Momentum Indicators | ||
| Overlap Studies | ||
| Pattern Recognition | ||
| Price Transform | ||
| Statistic Functions | ||
| Volatility Indicators | ||
| Volume Indicators |
| Risk Adjusted Performance | (0.17) | |||
| Market Risk Adjusted Performance | 2.35 | |||
| Mean Deviation | 4.01 | |||
| Coefficient Of Variation | (454.71) | |||
| Standard Deviation | 6.12 | |||
| Variance | 37.47 | |||
| Information Ratio | (0.24) | |||
| Jensen Alpha | (1.31) | |||
| Total Risk Alpha | (2.03) | |||
| Treynor Ratio | 2.34 | |||
| Maximum Drawdown | 34.22 | |||
| Value At Risk | (12.00) | |||
| Potential Upside | 6.67 | |||
| Skewness | (0.06) | |||
| Kurtosis | 4.65 |
QS Energy February 10, 2026 Daily Trend Indicators
Traders often use several different daily volumes and price technical indicators to supplement a more traditional technical analysis when analyzing securities such as QSEP stock. With literally thousands of different options, investors must choose the best indicators for them and familiarize themselves with how they work. We suggest combining traditional momentum indicators with more near-term forms of technical analysis such as Accumulation Distribution or Daily Balance Of Power. With their quantitative nature, daily value technical indicators can also be incorporated into your automated trading systems.
| Accumulation Distribution | 0.00 | ||
| Daily Balance Of Power | (Huge) | ||
| Rate Of Daily Change | 0.90 | ||
| Day Median Price | 0.09 | ||
| Day Typical Price | 0.09 | ||
| Price Action Indicator | (0.01) |
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.