Quantum Computing Stock Technical Analysis
| QUBT Stock | USD 9.13 0.52 5.39% |
As of the 4th of February, Quantum Computing holds the Variance of 34.77, risk adjusted performance of (0.04), and Coefficient Of Variation of (1,382). Compared to fundamental indicators, the technical analysis model allows you to check existing technical drivers of Quantum Computing, as well as the relationship between them.
Quantum Computing Momentum Analysis
Momentum indicators are widely used technical indicators which help to measure the pace at which the price of specific equity, such as Quantum, fluctuates. Many momentum indicators also complement each other and can be helpful when the market is rising or falling as compared to QuantumQuantum Computing's Momentum analyses are specifically helpful, as they help investors time the market using mark points where the market can reverse. The reversal spots are usually identified through divergence between price movement and momentum.Is there potential for Electronic Equipment, Instruments & Components market expansion? Will Quantum introduce new products? Factors like these will boost the valuation of Quantum Computing. Anticipated expansion of Quantum directly elevates investor willingness to pay premium valuations. Understanding fair value requires weighing current performance against future potential. All the valuation information about Quantum Computing listed above have to be considered, but the key to understanding future value is determining which factors weigh more heavily than others.
Quantum Computing's market price often diverges from its book value, the accounting figure shown on Quantum's balance sheet. Smart investors calculate Quantum Computing's intrinsic value - its true economic worth - which may differ significantly from both market price and book value. Analysts utilize numerous techniques to assess fundamental value, seeking to purchase shares when trading prices fall beneath estimated intrinsic worth. Since Quantum Computing's trading price responds to investor sentiment, macroeconomic conditions, and market psychology, it can swing far from fundamental value.
It's important to distinguish between Quantum Computing's intrinsic value and market price, which are calculated using different methodologies. Investment decisions regarding Quantum Computing should consider multiple factors including financial performance, growth metrics, competitive position, and professional analysis. However, Quantum Computing's price is the amount at which it trades on the open market and represents the number that a seller and buyer find agreeable to each party.
Quantum Computing '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 Quantum Computing's stock 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 Quantum Computing.
| 11/06/2025 |
| 02/04/2026 |
If you would invest 0.00 in Quantum Computing on November 6, 2025 and sell it all today you would earn a total of 0.00 from holding Quantum Computing or generate 0.0% return on investment in Quantum Computing over 90 days. Quantum Computing is related to or competes with Navitas Semiconductor, WEBTOON Entertainment, Concentrix, Grindr, BigBearai Holdings, Vishay Intertechnology, and Axcelis Technologies. Quantum Computing, Inc. focuses on providing software tools and applications for quantum computers in Virginia More
Quantum Computing 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 Quantum Computing's stock 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 Quantum Computing upside and downside potential and time the market with a certain degree of confidence.
| Information Ratio | (0.08) | |||
| Maximum Drawdown | 22.11 | |||
| Value At Risk | (9.32) | |||
| Potential Upside | 9.73 |
Quantum Computing Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for Quantum Computing's investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as Quantum Computing's standard deviation. In reality, there are many statistical measures that can use Quantum Computing historical prices to predict the future Quantum Computing's volatility.| Risk Adjusted Performance | (0.04) | |||
| Jensen Alpha | (0.52) | |||
| Total Risk Alpha | (0.87) | |||
| Treynor Ratio | (0.30) |
Quantum Computing February 4, 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 | (0.04) | |||
| Market Risk Adjusted Performance | (0.29) | |||
| Mean Deviation | 4.77 | |||
| Coefficient Of Variation | (1,382) | |||
| Standard Deviation | 5.9 | |||
| Variance | 34.77 | |||
| Information Ratio | (0.08) | |||
| Jensen Alpha | (0.52) | |||
| Total Risk Alpha | (0.87) | |||
| Treynor Ratio | (0.30) | |||
| Maximum Drawdown | 22.11 | |||
| Value At Risk | (9.32) | |||
| Potential Upside | 9.73 | |||
| Skewness | 0.3903 | |||
| Kurtosis | (0.38) |
Quantum Computing Backtested Returns
Quantum Computing maintains Sharpe Ratio (i.e., Efficiency) of -0.0724, which implies the firm had a -0.0724 % return per unit of risk over the last 3 months. Quantum Computing exposes twenty-three different technical indicators, which can help you to evaluate volatility embedded in its price movement. Please check Quantum Computing's Risk Adjusted Performance of (0.04), variance of 34.77, and Coefficient Of Variation of (1,382) to confirm the risk estimate we provide. The company holds a Beta of 1.48, which implies a somewhat significant risk relative to the market. As the market goes up, the company is expected to outperform it. However, if the market returns are negative, Quantum Computing will likely underperform. At this point, Quantum Computing has a negative expected return of -0.43%. Please make sure to check Quantum Computing's treynor ratio, as well as the relationship between the kurtosis and day typical price , to decide if Quantum Computing performance from the past will be repeated at some point in the near future.
Auto-correlation | 0.35 |
Below average predictability
Quantum Computing has below average predictability. Overlapping area represents the amount of predictability between Quantum Computing time series from 6th of November 2025 to 21st of December 2025 and 21st of December 2025 to 4th 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 Quantum Computing price movement. The serial correlation of 0.35 indicates that nearly 35.0% of current Quantum Computing price fluctuation can be explain by its past prices.
| Correlation Coefficient | 0.35 | |
| Spearman Rank Test | 0.07 | |
| Residual Average | 0.0 | |
| Price Variance | 0.96 |
Quantum Computing technical stock 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, stock market cycles, or different charting patterns.
Quantum Computing Technical Analysis
The output start index for this execution was twenty-four with a total number of output elements of thirty-seven. The Average True Range was developed by J. Welles Wilder in 1970s. It is one of components of the Welles Wilder Directional Movement indicators. The ATR is a measure of Quantum Computing volatility. High ATR values indicate high volatility, and low values indicate low volatility.
About Quantum Computing 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 Quantum Computing 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 Quantum Computing based on its technical analysis. In general, a bottom-up approach, as applied to this company, focuses on Quantum Computing price pattern first instead of the macroeconomic environment surrounding Quantum Computing. By analyzing Quantum Computing'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 Quantum Computing'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 Quantum Computing specific price patterns or momentum indicators. Please read more on our technical analysis page.
Quantum Computing February 4, 2026 Technical Indicators
Most technical analysis of Quantum 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 Quantum from various momentum indicators to cycle indicators. When you analyze Quantum 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 | (0.04) | |||
| Market Risk Adjusted Performance | (0.29) | |||
| Mean Deviation | 4.77 | |||
| Coefficient Of Variation | (1,382) | |||
| Standard Deviation | 5.9 | |||
| Variance | 34.77 | |||
| Information Ratio | (0.08) | |||
| Jensen Alpha | (0.52) | |||
| Total Risk Alpha | (0.87) | |||
| Treynor Ratio | (0.30) | |||
| Maximum Drawdown | 22.11 | |||
| Value At Risk | (9.32) | |||
| Potential Upside | 9.73 | |||
| Skewness | 0.3903 | |||
| Kurtosis | (0.38) |
Quantum Computing February 4, 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 Quantum 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 | 1,415,990 | ||
| Daily Balance Of Power | (0.57) | ||
| Rate Of Daily Change | 0.95 | ||
| Day Median Price | 9.08 | ||
| Day Typical Price | 9.10 | ||
| Price Action Indicator | (0.21) |
Additional Tools for Quantum Stock Analysis
When running Quantum Computing's price analysis, check to measure Quantum Computing'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 Quantum Computing is operating at the current time. Most of Quantum Computing's value examination focuses on studying past and present price action to predict the probability of Quantum Computing's future price movements. You can analyze the entity against its peers and the financial market as a whole to determine factors that move Quantum Computing's price. Additionally, you may evaluate how the addition of Quantum Computing to your portfolios can decrease your overall portfolio volatility.