Quantum Computing Stock Volatility
| QUBT Stock | USD 7.19 -0.06 -0.83% |
Quantum Computing currently reflects a minimal volatility profile across the selected horizon. Quantum Computing currently reflects a Sharpe Ratio (Efficiency) of -0.14, which points to negative risk-adjusted returns over the last 3 months. 23 technical indicators currently contribute to the broader risk narrative.
Sharpe Ratio = -0.1402
| High Returns | Best Equity | |||
| Good Returns | ||||
| Average Returns | ||||
| Small Returns | ||||
| Cash | Small Risk | Average Risk | High Risk | Huge Risk |
| Negative Returns | QUBT |
Quantum Computing posted a Market Risk Adjusted Performance of -0.2%, a Risk of 5.36, and a Risk Adjusted Performance of -0.1% for the reported period. Quantum Computing is currently underperforming relative to its full potential based on monthly moving average. A well-diversified portfolio allocation may improve risk-adjusted returns.
Key indicators related to Quantum Computing's volatility include:90 Days Market Risk | Chance Of Distress | 90 Days Economic Sensitivity |
Volatility for Quantum Computing measures the dispersion of its stock returns around their average. Higher volatility implies greater uncertainty about Quantum Computing's future price, while lower volatility suggests more predictable price behavior.
Volatility Strategy
Market variability in Quantum Computing affects how it contributes to portfolio dispersion. Observed price cycles may shift risk-adjusted exposure. Current statistical measures show total volatility near 5.36% with a beta coefficient of 3.74, indicating sensitivity relative to the broader market benchmark. Risk-adjusted efficiency, represented by a Sharpe ratio of -0.14, evaluates return per unit of total risk. An alpha value of -0.32 reflects performance relative to systematic market exposure. Expected return estimates near -0.75% are derived from historical distribution modeling and help frame forward-looking return assumptions within a portfolio context. Macro developments can affect sector-level volatility.
Main indicators related to Quantum Computing's market risk premium analysis include:
Beta 3.74 | Alpha -0.32 | Risk 5.36 | Sharpe Ratio -0.14 | Expected Return -0.75 |
Moving together with Quantum Stock
| 0.93 | WRAP | Wrap Technologies | PairCorr |
| 0.85 | KULR | KULR Technology Group | PairCorr |
| 0.82 | NEON | Neonode | PairCorr |
| 0.83 | PLUS | ePlus inc | PairCorr |
| 0.91 | ARAI | Arrive AI | PairCorr |
| 0.73 | SVRE | SaverOne 2014 Tech Boost | PairCorr |
| 0.83 | LME | Laurion Mineral | PairCorr |
Moving against Quantum Stock
| 0.86 | KO | Coca Cola | PairCorr |
| 0.78 | EMR | Emergent Metals Corp | PairCorr |
| 0.72 | EWK | Earthworks Industries | PairCorr |
| 0.59 | GGL | GGL Resources Corp | PairCorr |
| 0.35 | ATX | ATEX Resources | PairCorr |
Sensitivity To Market
Beta analysis for Quantum Computing evaluates how its price movements correlate with the broader market. Beta is calculated as the slope of the regression between asset returns and benchmark returns. With a beta of 3.74, Quantum Computing reflects measurable exposure to systematic risk. Observed total volatility stands near 5.36%.Recent trading in Quantum Computing shows a measurable level of volatility. Downside deviation is near 0.0% and semi-deviation is near 0.0%, which emphasize downside-focused movement. Options markets imply a forward-looking volatility estimate near 173.0%. This suggests the market is pricing in the possibility of wider future price swings compared to recent historical dispersion. For stocks, measured downside deviation helps describe the intensity of negative return periods.
| α | -0.3156 | β | 3.74 | Check current 90 days Quantum Computing correlation with market (Dow Jones Industrial)
Downside Risk
Standard deviation of Quantum quantifies daily price dispersion around the mean over your chosen time horizon. High standard deviation indicates a volatile instrument; low standard deviation indicates a more stable one.
Standard Deviation | 5.36 |
Understanding the asymmetry between upside and downside risk is critical for investors in Quantum Computing. Upside risk is captured by Quantum Computing's standard deviation, while downside risk is measured by semi-deviation or downside deviation of Quantum Computing's daily returns. Quantum Computing posted a Maximum Drawdown of 30.75 for the reported period.
Using Quantum Put Option to Manage Risk Based on 2026-04-17 Contracts
Quantum Computing posted an Option Implied Volatility of 1.73 and an Option Max Pain Price of 6 for the reported period. A put option on Quantum Computing gives the holder the right, but not the obligation, to sell Quantum Computing shares at a predetermined strike price before expiration. Investors often purchase put options on Quantum Stock as a form of portfolio insurance.
Quantum Computing's PUT expiring on 2026-05-01
Profit |
| Quantum Computing Price At Expiration |
Current Quantum Computing Insurance Chain
| Delta | Gamma | Open Int | Expiration | Current Spread | Last Price | |||
Put | QUBT260417P00001000 | -0.011127 | 0.003465 | 210 | 2026-04-17 | 0.0 - 0.05 | 0.0 | View |
Put | QUBT260417P00002000 | -0.006083 | 0.004074 | 1023 | 2026-04-17 | 0.0 - 0.01 | 0.0 | View |
Put | QUBT260417P00003000 | -0.042044 | 0.019777 | 447 | 2026-04-17 | 0.0 - 0.1 | 0.0 | View |
Put | QUBT260417P00004000 | -0.102992 | 0.03935 | 431 | 2026-04-17 | 0.0 - 0.3 | 0.0 | View |
Put | QUBT260417P00005000 | -0.080588 | 0.068952 | 2617 | 2026-04-17 | 0.03 - 0.09 | 0.0 | View |
Put | QUBT260417P00006000 | -0.166466 | 0.153671 | 1074 | 2026-04-17 | 0.15 - 0.18 | 0.0 | View |
Put | QUBT260417P00007000 | -0.389513 | 0.240175 | 7410 | 2026-04-17 | 0.45 - 0.51 | 0.0 | View |
Put | QUBT260417P00008000 | -0.620321 | 0.22994 | 3483 | 2026-04-17 | 1.06 - 1.12 | 0.0 | View |
Put | QUBT260417P00009000 | -0.805461 | 0.172762 | 3082 | 2026-04-17 | 1.7 - 2.0 | 0.0 | View |
Put | QUBT260417P00010000 | 0.0 | 0.0 | 4405 | 2026-04-17 | 2.16 - 3.0 | 0.0 | View |
Put | QUBT260417P00011000 | -0.867005 | 0.091614 | 5596 | 2026-04-17 | 3.35 - 4.6 | 0.0 | View |
Stock Volatility Analysis
Volatility is a statistical measure of the dispersion of Quantum Computing stock returns over a given period of time. It is generally measured from either the standard deviation or variance between returns from that same stock. In most cases, the higher the volatility, the riskier the stock.
Transformation |
This analysis covers sixty-one data points across the selected time horizon. Quantum Computing Average Price is the average of the sum of open, high, low and close daily prices of a bar. It can be used to smooth an indicator that normally takes just the closing price as input.
Projected Return Density Against Market
Given the investment horizon of 90 days Quantum Computing has a beta of 3.741 indicating as the benchmark fluctuates upward, the company is expected to outperform it on average. However, if the benchmark returns are projected to be negative, Quantum Computing will likely underperform.Risk for Quantum Computing can be divided into market-wide and asset-specific components. While diversification may mitigate unsystematic factors, systematic risk tied to the stock market cannot be eliminated. Historical beta and volatility measures provide context. Quantum Computing posted a Mean Deviation of 4.24, an Option Implied Volatility of 1.73, and a Standard Deviation of 5.66 for the reported period.
Predicted Return Density |
| Returns |
What Drives Quantum Computing's Price Volatility?
Several factors can influence Quantum Computing's market volatility:Industry Dynamics
Sector-level events can directly affect Quantum Computing's price stability. Regulatory changes, supply disruptions, or shifts in demand within Quantum Computing's industry may create volatility even when the broader market is calm. Competitive dynamics and industry consolidation can also amplify price swings for companies like Quantum Computing.Political and Economic Environment
Macroeconomic conditions and policy decisions shape the backdrop for Quantum Computing's price movements. Interest rate changes, trade policy shifts, and fiscal legislation can all alter investor sentiment toward Quantum Computing. During periods of economic expansion, Quantum Computing's price tends to benefit from broader market optimism, while downturns can amplify selling pressure.Quantum Computing's Company-Specific Factors
Volatility can also stem from events unique to Quantum Computing. Earnings surprises, management changes, product launches, or legal developments may trigger sharp price reactions in Quantum Computing's stock. Conversely, operational setbacks, guidance revisions, or data breaches can weigh on Quantum Computing's share price.Stock Risk Measures
Given the investment horizon of 90 days the coefficient of variation of Quantum Computing is -713.49. The daily returns are distributed with a variance of 28.68 and standard deviation of 5.36. The mean deviation of Quantum Computing is currently at 3.95. For similar time horizon, the selected benchmark (Dow Jones Industrial) has volatility of 0.79
α | Alpha over Dow Jones | -0.3156 | |
β | Beta against Dow Jones | 3.74 | |
σ | Overall volatility | 5.36 | |
Ir | Information ratio | -0.0969 |
Stock Return Volatility
Daily return volatility for Quantum Computing measures how far stock returns deviate from their average on a day-to-day basis. The firm shows 5.3555% volatility of returns over 90 trading days. For comparison, Dow Jones Industrial has volatility of 0.8239% on return distribution over a 90-day investment horizon. Performance |
| Timeline |
Related Correlations Analysis
Correlation Matchups
Over a given time period, the two securities move together when the Correlation Coefficient is positive. Conversely, the two assets move in opposite directions when the Correlation Coefficient is negative. Determining your positions' relationship to each other is valuable for analyzing and projecting your portfolio's future expected return and risk.High positive correlations
| High negative correlations
|
Risk-Adjusted Indicators
Strong stock returns do not always mean Quantum Computing Company is outperforming its peers on a fundamental level. Risk-adjusted metrics allow investors to compare Quantum Computing's efficiency and downside exposure against peers in a more meaningful way. These indicators are quantitative in nature and help investors forecast volatility and risk-adjusted expected returns across various positions.| Mean Deviation | Jensen Alpha | Sortino Ratio | Treynor Ratio | Semi Deviation | Expected Shortfall | Potential Upside | Value @Risk | Maximum Drawdown | ||
|---|---|---|---|---|---|---|---|---|---|---|
| NVTS | 5.43 | 0.72 | 0.07 | 0.08 | 5.57 | 17.37 | 32.82 | |||
| WBTN | 2.10 | -0.37 | 0.00 | -0.32 | 0.00 | 3.36 | 15.87 | |||
| CNXC | 3.40 | 0.00 | 0.00 | -0.08 | 0.00 | 5.72 | 19.57 | |||
| GRND | 1.59 | -0.04 | 0.00 | -0.19 | 0.00 | 3.37 | 7.96 | |||
| BBAI | 4.02 | -0.77 | 0.00 | 2.67 | 0.00 | 8.15 | 23.56 | |||
| VSH | 2.14 | 0.40 | 0.14 | 0.15 | 2.25 | 5.48 | 13.69 | |||
| ACLS | 2.64 | -0.04 | 0.02 | 0.00 | 3.94 | 5.46 | 23.94 | |||
| ALRM | 1.23 | -0.10 | 0.00 | -0.19 | 0.00 | 3.42 | 8.48 | |||
| ODD | 3.79 | -1.36 | 0.00 | -25.31 | 0.00 | 5.26 | 55.97 | |||
| DXC | 2.27 | -0.18 | 0.00 | -0.20 | 0.00 | 5.56 | 18.35 |
Risk Metrics, Assumptions & Methodology
Volatility for Quantum Computing measures return dispersion and uncertainty over time. Stronger market liquidity could contribute to more stable trading conditions. Quantum Computing has a market cap of 1.61 B, P/E of 0.77, ROE of -2.19%.
Data shown for Quantum Computing is aggregated from periodic company reporting and market reference feeds and normalized across reporting formats. Source publication cadence can introduce delays. Volatility and downside metrics are estimated from historical return dispersion.
This content is curated and reviewed by:
Vlad Skutelnik - Macroaxis ContributorQuantum Computing Investment Opportunity
Measured over the selected horizon, Quantum Computing carries roughly 6.54 times the return volatility of Dow Jones Industrial. The higher-risk profile should usually be reviewed beside Sharpe Ratio, downside risk, and catalyst strength before the position is sized up.You can use Quantum Computing to protect your portfolios against small market fluctuations. This directional read frames the latest price swing through a simple momentum and follow-through lens. It is intended to separate routine noise from more speculative bursts in price action. a moderate downward daily trend and can be a good diversifier. Check odds of Quantum Computing to be traded at $7.05 in 90 days.Weak diversification
For the present investment horizon, the measured correlation between QUBT and DJI stands at 0.36, or Weak diversification. This matters because lower overlap can improve diversification, while higher overlap leaves more of the same risk inside the portfolio.
Quantum Computing Additional Risk Indicators
Looking at additional risk metrics for Quantum Computing frames how the position may behave under different market and portfolio conditions. The practical goal is to identify how much risk is being accepted and whether that risk still fits the thesis.
| Risk Adjusted Performance | -0.08 | |||
| Market Risk Adjusted Performance | -0.16 | |||
| Mean Deviation | 4.24 | |||
| Coefficient Of Variation | -907.51 | |||
| Standard Deviation | 5.66 | |||
| Variance | 32.04 | |||
| Information Ratio | -0.1 |
Quantum Computing Suggested Diversification Pairs
Pair trading with Quantum Computing can help investors hedge some company-specific exposure by balancing a long view with an offsetting position. Used properly, pair trading is less about prediction in isolation and more about identifying relative mispricing between related positions.
Pair diversification lowers overall risk, though certain risk categories remain unaffected regardless of how positions are paired. Systematic risk - the risk tied to the overall market - cannot be eliminated by pairing Quantum Computing with another position. However, Quantum Computing's company-specific risk can be partially offset by selecting a pair that does not move in lockstep with Quantum Computing.
Additional Tools for Quantum Stock Analysis
| Transaction History View history of all your transactions and understand their impact on performance | |
| Fundamentals Comparison Compare fundamentals across multiple equities to find investing opportunities | |
| Correlation Analysis Reduce portfolio risk simply by holding instruments which are not perfectly correlated | |
| Pair Correlation Compare performance and examine fundamental relationship between any two equity instruments | |
| USA ETFs Find actively traded Exchange Traded Funds (ETF) in USA | |
| Watchlist Optimization Optimize watchlists to build efficient portfolios or rebalance existing positions based on the mean-variance optimization algorithm | |
| Equity Valuation Check real value of public entities based on technical and fundamental data | |
| Portfolio Manager State of the art Portfolio Manager to monitor and improve performance of your invested capital | |
| Companies Directory Evaluate performance of over 100,000 Stocks, Funds, and ETFs against different fundamentals |