Hyperfine Stock Technical Analysis
| HYPR Stock | USD 1.16 0.09 8.41% |
As of the 10th of March, Hyperfine registers 1.16 per share in market pricing. Volatility and momentum metrics display Downside Deviation of 3.91, risk adjusted performance of 0.0509, and Market Risk Adjusted Performance of 0.2286. Quantitative signals are calculated from volatility clustering and momentum shifts. Relative strength metrics are assessed within peer group data.
Hyperfine Momentum Analysis
Momentum indicators are widely used technical indicators which help to measure the pace at which the price of specific equity, such as Hyperfine, fluctuates. Many momentum indicators also complement each other and can be helpful when the market is rising or falling as compared to HyperfineHyperfine | Build AI portfolio with Hyperfine Stock |
Hyperfine Analyst Consensus
| Target Price | Consensus | # of Analysts | |
| 1.65 | Buy | 4 | Odds |
Analyst recommendations for Hyperfine are summarized across multiple research providers. Average analyst consensus is included for context. Changes in analyst price targets for Hyperfine can be as informative as the ratings themselves. A maintained buy rating with a target cut for Hyperfine often signals deteriorating near-term expectations despite continued long-term optimism.
Earnings Share -0.52 | Revenue Per Share | Quarterly Revenue Growth -0.06 | Return On Assets | Return On Equity |
Understanding Hyperfine includes distinguishing between market value and book value, where book value reflects Hyperfine accounting equity. The intrinsic value concept focuses on underlying worth, which can diverge from market price and book value. Market price responds to sentiment, liquidity, and macro shifts, so gaps can appear. Valuation work aligns these measures into a single context.
The concept of value for Hyperfine differs from its quoted price, since each reflects a different lens. Context can include financial performance, operating efficiency, market trends, and peer comparisons. By contrast, market price reflects the level where buyers and sellers transact.
Hyperfine 'What if' Analysis
Running a what-if backtest on Hyperfine gives investors a practical way to test how changes in horizon, position size, or market timing might have affected the result. Used properly, this review helps investors decide whether Hyperfine's historical reward profile was stable enough to support the current thesis.
| 12/10/2025 |
| 03/10/2026 |
Starting with 0.00 in Hyperfine on December 10, 2025 and exiting today would produce 0.00 in aggregate gains. The change equals a 0.0% net return in Hyperfine on balance over a 90 day window.. Hyperfine has comparable peers such as InspireMD, Vivani Medical, Avita Medical, Fonar, EDAP TMS, Pulmonx Corp, and Connect Biopharma. Peer context can support comparative analysis. Hyperfine, Inc. provides imaging, monitoring, and magnetic resonance imaging products More
Upside and Downside Indicators for Hyperfine Signals
These indicators describe how Hyperfine momentum evolves across recent price ranges. The signals are presented as informational context for recent price movement.
| Downside Deviation | 3.91 | |||
| Information Ratio | 0.0528 | |||
| Maximum Drawdown | 18.91 | |||
| Value At Risk | -7.00 | |||
| Potential Upside | 8.77 |
Market Risk Indicators for Hyperfine Signals
Risk measures here provide context on Hyperfine's return distribution and drawdown behavior. This view provides neutral context for risk and variability.| Risk Adjusted Performance | 0.0509 | |||
| Jensen Alpha | 0.2371 | |||
| Total Risk Alpha | 0.2382 | |||
| Sortino Ratio | 0.0606 | |||
| Treynor Ratio | 0.2186 |
The mean reversion framework for Hyperfine's is built on the premise that markets are not perfectly efficient and that prices periodically overshoot their intrinsic value in both directions.
Hyperfine 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 | 0.0509 | |||
| Market Risk Adjusted Performance | 0.2286 | |||
| Mean Deviation | 3.47 | |||
| Semi Deviation | 3.52 | |||
| Downside Deviation | 3.91 | |||
| Coefficient Of Variation | 1819.77 | |||
| Standard Deviation | 4.49 | |||
| Variance | 20.17 | |||
| Information Ratio | 0.0528 | |||
| Jensen Alpha | 0.2371 | |||
| Total Risk Alpha | 0.2382 | |||
| Sortino Ratio | 0.0606 | |||
| Treynor Ratio | 0.2186 | |||
| Maximum Drawdown | 18.91 | |||
| Value At Risk | -7.00 | |||
| Potential Upside | 8.77 | |||
| Downside Variance | 15.3 | |||
| Semi Variance | 12.37 | |||
| Expected Short fall | -4.83 | |||
| Skewness | 0.448 | |||
| Kurtosis | -0.02 |
Hyperfine Backtested Returns
Hyperfine reflects a dangerously high risk exposure across the analytical window. It has a Sharpe Ratio of 0.0624, evidencing risk-calibrated returns. We identified thirty technical indicators influencing the company's volatility profile. Please analyze metrics such as Downside Deviation of 3.91, market risk-adjusted performance of 0.2286, and risk-adjusted performance of 0.0509 to evaluate coherence across risk measures. On a scale of 0 to 100, Hyperfine holds a performance score of 4. The company secures a Beta (Market Risk) of 1.08, which attests to a somewhat significant risk relative to the market. Hyperfine returns are very sensitive to returns on the market. As the market goes up or down, Hyperfine is expected to follow. Please confirm Hyperfine's the relationship between the kurtosis and market facilitation index , to make a quick decision on whether Hyperfine's historical price patterns will revert.
Auto-correlation | -0.36 |
Poor reverse predictability
Hyperfine exhibits poor reverse predictability. Autocorrelation measures the degree of predictability between Hyperfine time series from 10th of December 2025 to 24th of January 2026 and from 24th of January 2026 to 10th of March 2026. The stronger the relationship between the current interval and its lagged values, the more accurately future price behavior of Hyperfine may be projected. A serial correlation of -0.36 indicates that just about 36.0% of current Hyperfine price fluctuations can be explained by its historical price movements. Given that Hyperfine has negative autocorrelation for the selected time horizon, market participants may evaluate potential contrarian price behavior over comparable future intervals.
| Correlation Coefficient | -0.36 | |
| Spearman Rank Test | -0.18 | |
| Residual Average | 0.0 | |
| Price Variance | 0.0 |
This technical analysis view for Hyperfine focuses on price, volume, and trend behavior. The model references moving averages, relative strength, and price correlation signals.
Hyperfine Technical Analysis
The output start index for this execution was twenty-four with a total number of output elements of thirty-seven. The Normalized Average True Range is used to analyze tradable apportunities for Hyperfine across different markets.
Hyperfine Moving Averages and Oscillators
Technical analysis of Hyperfine evaluates price structure, momentum, and volatility clustering. Lower liquidity may increase execution variability. We review the company from a portfolio-construction standpoint emphasizing diversification and stability.
Methodology
Unless otherwise specified, financial data for Hyperfine is derived from periodic company reporting (annual and quarterly where available). Asset-level metrics are computed daily by Macroaxis LLC and refreshed regularly based on asset type. Hyperfine (USA Stocks:HYPR) prices are typically delayed by approximately 20 minutes from primary exchanges for listed equities. Data may be delayed depending on reporting sources and market conventions Technical and fundamental diagnostic scores are rule-based values computed from historical price and fundamental inputs.
Assumptions
The dataset for Hyperfine incorporates public filings and market reference sources and official institutional disclosures, including U.S. Securities and Exchange Commission (SEC) via EDGAR and the U.S. Food & Drug Administration (FDA). Some inputs may not update instantaneously. All analytics are generated using standardized, rules-based models designed to promote consistency and comparability across instruments. Model assumptions, reference parameters, and selected computational inputs are available in the Model Inputs section. If you have questions about our data sources or methodology, please contact Macroaxis Support.Analyst Sources
Hyperfine may have analyst coverage included in Macroaxis-derived consensus inputs when available. Updates may occur throughout the day.
Hyperfine Technical Indicators
A technical review of Hyperfine can improve timing discipline by comparing momentum, reversal risk, and confirmation signals across several time horizons. The stronger process confirms one signal with others instead of reacting to one pattern in isolation.
| Cycle Indicators | ||
| Math Operators | ||
| Math Transform | ||
| Momentum Indicators | ||
| Overlap Studies | ||
| Pattern Recognition | ||
| Price Transform | ||
| Statistic Functions | ||
| Volatility Indicators | ||
| Volume Indicators |
| Risk Adjusted Performance | 0.0509 | |||
| Market Risk Adjusted Performance | 0.2286 | |||
| Mean Deviation | 3.47 | |||
| Semi Deviation | 3.52 | |||
| Downside Deviation | 3.91 | |||
| Coefficient Of Variation | 1819.77 | |||
| Standard Deviation | 4.49 | |||
| Variance | 20.17 | |||
| Information Ratio | 0.0528 | |||
| Jensen Alpha | 0.2371 | |||
| Total Risk Alpha | 0.2382 | |||
| Sortino Ratio | 0.0606 | |||
| Treynor Ratio | 0.2186 | |||
| Maximum Drawdown | 18.91 | |||
| Value At Risk | -7.00 | |||
| Potential Upside | 8.77 | |||
| Downside Variance | 15.3 | |||
| Semi Variance | 12.37 | |||
| Expected Short fall | -4.83 | |||
| Skewness | 0.448 | |||
| Kurtosis | -0.02 |
Hyperfine March 10, 2026 Daily Trend Indicators
A technical review of Hyperfine can improve timing discipline by comparing momentum, reversal risk, and confirmation signals across several time horizons. The stronger process confirms one signal with others instead of reacting to one pattern in isolation.
| Accumulation Distribution | 0.08 | ||
| Daily Balance Of Power | 1.00 | ||
| Rate Of Daily Change | 1.08 | ||
| Day Median Price | 1.12 | ||
| Day Typical Price | 1.13 | ||
| Price Action Indicator | 0.09 | ||
| Market Facilitation Index | 0.09 |
Additional Tools for Hyperfine Stock Analysis
| Global Correlations Find global opportunities by holding instruments from different markets | |
| Performance Analysis Check effects of mean-variance optimization against your current asset allocation | |
| CEOs Directory Screen CEOs from public companies around the world | |
| Portfolio Volatility Check portfolio volatility and analyze historical return density to properly model market risk | |
| Content Syndication Quickly integrate customizable finance content to your own investment portal | |
| Watchlist Optimization Optimize watchlists to build efficient portfolios or rebalance existing positions based on the mean-variance optimization algorithm | |
| Top Crypto Exchanges Search and analyze digital assets across top global cryptocurrency exchanges | |
| Portfolio Anywhere Track or share privately all of your investments from the convenience of any device |