Uber Technologies, Inc. (UBER) Stock Price & Analysis
Market: NYSE • Sector: Technology • Industry: Software - Application
Uber Technologies, Inc. (UBER) Profile & Business Summary
Uber Technologies, Inc. develops and operates proprietary technology applications in the United States, Canada, Latin America, Europe, the Middle East, Africa, and the Asia Pacific. It connects consumers with independent providers of ride services for ridesharing services; and connects riders and other consumers with restaurants, grocers, and other stores with delivery service providers for meal preparation, grocery, and other delivery services. The company operates through three segments: Mobility, Delivery, and Freight. The Mobility segment provides products that connect consumers with mobility drivers who provide rides in a range of vehicles, such as cars, auto rickshaws, motorbikes, minibuses, or taxis. It also offers financial partnerships, transit, and vehicle solutions offerings. The Delivery segment allows consumers to search for and discover local restaurants, order a meal, and either pick-up at the restaurant or have the meal delivered; and offers grocery, alcohol, and convenience store delivery, as well as select other goods. The Freight segment connects carriers with shippers on the company's platform and enable carriers upfront, transparent pricing, and the ability to book a shipment, as well as transportation management and other logistics services offerings. The company was formerly known as Ubercab, Inc. and changed its name to Uber Technologies, Inc. in February 2011. Uber Technologies, Inc. was founded in 2009 and is headquartered in San Francisco, California.
Key Information
| Ticker | UBER |
|---|---|
| Exchange | NYSE |
| Official Site | https://www.uber.com |
Market Trend Overview for UBER
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 2026-03-25 (ET)
As of 2026-03-25, UBER is moving sideways with low volatility. Over the longer term, the trend remains bearish.
UBER last closed at 73.08. The price is about 0.4 ATR below its recent average price (74.19), and the market is currently in a sideways market with low volatility. Price at 73.08 is moving between light support near 71.94 and light resistance near 74.58. Direction remains unclear. View Support & Resistance from Options
Price is moving in a tight range. This often leads to a stronger move once the range breaks, increasing one-sided risk.
Trend score: 40 out of 100. Overall alignment is unclear. The market is currently in a sideways phase with tightening price movement. The longer-term trend is still negative, but short-term signals are not yet confirming it.
There is no clear risk level acting as a key boundary right now.
On 2026-03-12, trend conditions deteriorated, suggesting that moves in the prior direction became less dependable.
[2026-03-24] 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.
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 reading is based on the last 20 trading days of 15-minute price, volume, and VWAP data. Price is modestly below the recent estimated cost basis of 74.97, so the recent structure is still leaning somewhat under pressure. Price is in the lower half of the main cost band (72.33 to 74.41), so price support and pullback behavior matter more than immediate upside follow-through. The higher up selling area sits around 73.61 to 75.75, and overhead supply looks fairly concentrated there. About 86% of recent positioning remains under water, which usually makes rallies harder to sustain. From a trading point of view, the main question is whether rebounds remain healthy enough to reach and absorb the higher overhead supply zone.
Short Interest & Covering Risk for UBER
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: 43%)
Structure Analysis
UBER 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. No meaningful structural fragility is currently detected (Fragility Score 6/100, DTC percentile 53%).
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
2026-02-27 (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.