Serve Robotics Inc. (SERV) Stock Price & Analysis
Market: NASDAQ • Sector: Industrials • Industry: Industrial - Machinery
Serve Robotics Inc. (SERV) Profile & Business Summary
Serve Robotics Inc. designs, develops, and operates low-emission robots that serve people in public spaces with food delivery in the United States. It builds self-driving delivery robots. The company was formerly known as Patricia Acquisition Corp. and changed its name to Serve Robotics Inc. in July 2023. Serve Robotics Inc. was founded in 2017 and is based in Redwood City, California.
Key Information
| Ticker | SERV |
|---|---|
| Exchange | NASDAQ |
| Official Site | https://www.serverobotics.com |
Market Trend Overview for SERV
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, SERV is moving sideways with low volatility. Over the longer term, the trend remains bullish.
SERV last closed at 9.32. The price is about 0.8 ATR below its recent average price (10.10), and the market is currently in a sideways market with low volatility. Price at 9.32 is moving between light support near 9.11 and minor resistance near 9.60. 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 positive, but short-term signals are not yet confirming it.
There is no clear risk level acting as a key boundary right now.
On 2026-01-23, trend conditions deteriorated, suggesting that moves in the prior direction became less dependable.
[2026-03-02] 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 stays neutral because the setup is not clear enough to justify a directional deployment.
The model does not deploy this setup because predictability is still too low, internal signals are not aligned strongly enough, price is still close to a gamma transition zone, and recent price behavior has shown failed reversal memory. Predictability is 17%, agreement is 31%, 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 reading is based on the last 20 trading days of 15-minute price, volume, and VWAP data. Price is trading 3.1% below the recent estimated cost basis of 9.62, so the recent structure is still leaning under pressure. Price is in the upper half of the main cost band (9.06 to 9.48), which is usually a healthier short-term location because price is holding the stronger side of recent trading activity. Roughly 68% of recent positioning remains under water, so rebound attempts can still run into supply from trapped holders. From a trading point of view, the most useful read is to compare price with the main cost band first, because there is no especially clear nearby support or overhead cluster right now.
Short Interest & Covering Risk for SERV
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 relatively low, indicating limited pressure from short positions. (Historical percentile: 12%)
Structure Analysis
SERV Short positioning is starting to look crowded. Current days to cover is 6.1 trading days, meaning short positions would unwind more slowly than usual. Short covering could add extra momentum to price moves. Price is already trending lower (20D return -10.0%). The current configuration reflects active downside pressure rather than latent structural fragility.
Risk Summary
Risk conditions are elevated. Recent price strength may be less stable if selling pressure increases.This indicator is intended as a risk filter, not a directional signal. A High or Extreme reading does not predict an immediate move, but suggests that if prices weaken, downside reactions may be more pronounced.
Why Price Reactions May Be Stronger?
Short positioning is elevated both relative to its own history and in absolute short-interest terms. Average trading volume is weakening, indicating contracting liquidity. Price action is compressing (range is tightening), which can make breaks more sensitive. Phase: Building. Adaptive thresholds applied to liquidity weakness, near-high detection, and compression sensitivity. Crowded short positioning and weakening liquidity are reinforcing each other. As a result, similar news or market events could lead to price moves about 4× 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.