uniQure N.V. (QURE) Stock Price & Analysis
Market: NASDAQ • Sector: Healthcare • Industry: Biotechnology
uniQure N.V. (QURE) Profile & Business Summary
uniQure N.V., a gene therapy company, engages in the development of treatments for patients suffering from genetic and other devastating diseases. Its lead program is Etranacogene dezaparvovec (AMT-061), which is in Phase III HOPE-B pivotal trial for the treatment of hemophilia B. The company also engages in developing AMT-130, a gene therapy that is in Phase I/II clinical study for the treatment of Huntington's disease; AMT-060, which is in Phase I/II clinical trial for the treatment of hemophilia B; AMT-210, a product candidate for the treatment of Parkinson's disease; AMT-260 for temporal lobe epilepsy; AMT-240, a preclinical product candidate for the treatment of autosomal dominant Alzheimer's disease; and AMT-161 for the treatment of amyotrophic lateral sclerosis. uniQure N.V. was founded in 1998 and is headquartered in Amsterdam, the Netherlands.
Key Information
| Ticker | QURE |
|---|---|
| Exchange | NASDAQ |
| Official Site | https://www.uniqure.com |
Market Trend Overview for QURE
One model, two time views: what the market looks like right now, and where the larger trend is heading over time.
SRE (WhaleQuant Structural Regime Engine) SRE evaluates how price structure evolves across daily and weekly timeframes to define the prevailing market regime. Beyond identifying trends, consolidations, and exhaustion phases, it distinguishes between raw structural strength and deployable participation quality. The model dynamically adjusts for structural context and extension risk, assessing whether conditions are supportive, stretched, fragile, or structurally impaired. Its purpose is not to forecast precise price levels, but to determine whether risk deployment is aligned with underlying market structure.
Longer-Term Market Trend (Mid to Long Term)
Shows the bigger market trend, how strong it is, and where risks may start to build over the next few weeks or months. — Updated as of 2026-10-13 (ET)
As of 2026-10-13, QURE is showing signs of slowing down. Over the longer term, the trend remains bullish.
QURE last closed at 21.28. The price is about 0.3 ATR below its recent average price (22.39), and the market is currently in a trend that may be losing strength. Price at 21.28 is near minor support around 17.81. Momentum may slow, while light resistance sits near 23.84. View Support & Resistance from Options
Short-term weakness is unfolding within a broader uptrend, suggesting a pullback rather than a full trend reversal.
Trend score: 55 out of 100. Overall alignment is unclear. The market is currently in a late-stage trend that may be losing strength. The longer-term trend is still positive, but short-term signals are not yet confirming it.
There is no clear key risk boundary right now.
On 2026-09-04, trend conditions deteriorated, suggesting that moves in the prior direction became less dependable.
Recent bars show mixed price behavior without a clear shift in structural quality or efficiency.
There was no clear sign of meaningful positions being carried into the overnight session.
The model still sees a directional lean, but the edge is not thick enough after adjusting for reward/risk.
The model does not deploy this setup because the directional lean exists, but the edge is still not thick enough after risk adjustment, reward/risk remains too thin at -0.07 after adjustment, price is still close to a gamma transition zone, recent price behavior has shown failed reversal memory, and there is meaningful next-session pullback or digestion risk. Predictability is 37%, agreement is 86%, and reversal risk is 28%.
NOTE: This next-day up/down probability forecast module is still being tested for accuracy. Please do not rely on it for investment decisions. The model does not account for black swan events or company-specific fundamental news, and its estimates are based solely on technical conditions, capital flow, and market sentiment. View forecast history
This estimate uses 1-minute price, volume, and VWAP data from the last 58 trading days, with turnover-based decay. The sample period is 2026-07-23 to 2026-10-13. The current price is 21.28, 27.82% below the estimated average cost of 29.48. An estimated 3.2% of recent positioning is below the current price, while 96.0% is above it. The peak-density price is 23.10. The largest concentrated cost region is 21.55 to 25.65 and contains 64.1% of the estimated distribution. The current price is within the 20.95 to 21.35 cost region. The nearest region above the current price is 21.55 to 25.65.
Short Interest & Covering Risk for QURE
This analysis looks at overall short interest positioning, focusing on the broader setup rather than short-term noise.
Shows how likely a short squeeze may be under current market conditions.
Short Exposure Percentile
Short interest is at a very high historical level. If price moves against shorts, reactions could be sharp and volatile. (Historical percentile: 94%)
Structure Analysis
QURE Short positioning looks normal. Current days to cover is 1.9 trading days, meaning short positions could unwind at a normal pace. Short covering is likely to have a normal impact on price moves. Price is already trending lower (20D return -50.6%). The current configuration reflects active downside pressure rather than latent structural fragility.
Risk Summary
No clear bull trap characteristics detected. Recent price behavior remains broadly consistent with current positioning.This reading helps confirm that current price action remains structurally healthy and does not indicate elevated trap risk.
Why Price Reactions May Be Stronger?
Price action is compressing (range is tightening), which can make breaks more sensitive. Adaptive thresholds applied to liquidity weakness, near-high detection, and compression sensitivity. As a result, similar news or market events could lead to price moves about 1× larger than usual.
Note:
Short interest data is reported every two weeks by
FINRA.
The most recent snapshot is
2026-09-30 (ET).
Because this data updates slowly, it is not intended to predict short-term price moves. Instead, it helps describe longer-term market structure and where pressure may be building if prices begin to move.