Booking Holdings Inc. (BKNG) Stock Price & Analysis
Market: NASDAQ • Sector: Consumer Cyclical • Industry: Travel Services
Booking Holdings Inc. (BKNG) Profile & Business Summary
Booking Holdings Inc. provides travel and restaurant online reservation and related services worldwide. The company operates Booking.com, which offers online accommodation reservations; Rentalcars.com that provides online rental car reservation services; Priceline, which offer online travel reservation services, and consumers hotel, flight, and rental car reservation services, as well as vacation packages, cruises, and hotel distribution services. It also operates Agoda that provides online accommodation reservation services, as well as flight, ground transportation and activities reservation services. In addition, the company operates KAYAK, an online price comparison service that allows consumers to search and compare travel itineraries and prices, comprising airline ticket, accommodation reservation, and rental car reservation information; and OpenTable for booking online restaurant reservations. Further, it offers travel-related insurance products, and restaurant management services to consumers, travel service providers, and restaurants. The company was formerly known as The Priceline Group Inc. and changed its name to Booking Holdings Inc. in February 2018. The company was founded in 1997 and is headquartered in Norwalk, Connecticut.
Key Information
| Ticker | BKNG |
|---|---|
| Exchange | NASDAQ |
| Official Site | https://www.bookingholdings.com |
Market Trend Overview for BKNG
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 2026-10-01 (ET)
As of 2026-10-01, BKNG is showing signs of slowing down. Over the longer term, the trend remains bearish.
BKNG last closed at 160.28. The price is about 0.3 ATR below its recent average price (163.59), and the market is currently in a trend that may be losing strength. Price at 160.28 is near minor support around 155.37. Momentum may slow, while minor resistance sits near 166.19. View Support & Resistance from Options
Short-term and long-term trends are aligned to the downside, keeping downside risk dominant.
Trend score: 45 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 negative, but short-term signals are not yet confirming it.
There is no clear key risk boundary right now.
On 2026-08-17, trend conditions deteriorated, suggesting that moves in the prior direction became less dependable.
[2026-08-26] Price moved quickly and looked strong, but participation was limited.
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 -0.15 after adjustment, and price is still close to a gamma transition zone. Predictability is 43%, agreement is 93%, and reversal risk is 24%.
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 50 trading days, with turnover-based decay. The sample period is 2026-07-23 to 2026-10-01. The current price is 160.28, 12.80% below the estimated average cost of 183.81. An estimated 9.3% of recent positioning is below the current price, while 90.3% is above it. The peak-density price is 171.40. The largest concentrated cost region is 167.90 to 173.50 and contains 16.2% of the estimated distribution. The nearest region below the current price is 155.70 to 158.30. The nearest region above the current price is 160.70 to 165.30.
Short Interest & Covering Risk for BKNG
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 within its typical range, with no clear imbalance between buyers and sellers. (Historical percentile: 58%)
Structure Analysis
BKNG Short positioning looks normal. Current days to cover is 2.6 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 -19.7%). 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
2026-09-15 (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.