Stellantis N.V. (STLA) Stock Price & Analysis
Market: NYSE • Sector: Consumer Cyclical • Industry: Auto - Manufacturers
Stellantis N.V. (STLA) Profile & Business Summary
Stellantis N.V. engages in the design, engineering, manufacturing, distribution, and sale of automobiles and light commercial vehicles, engines, transmission systems, metallurgical products, and production systems worldwide. It provides luxury, premium, and mainstream passenger vehicles; pickup trucks, sport utility vehicles, and commercial vehicles; and parts and services, as well as retail and dealer financing, leasing, and rental services. The company offers its products under the Abarth, Alfa Romeo, Chrysler, Citroën, DS, Dodge, Fiat, Fiat Professional, Jeep, Maserati, Ram, Opel, Lancia, Vauxhall, Peugeot, Teksid, and Comau brand names. It sells its products directly, as well as through distributors and dealers. Stellantis N.V. was founded in 1899 and is headquartered in Hoofddorp, the Netherlands.
Key Information
| Ticker | STLA |
|---|---|
| Exchange | NYSE |
| Official Site | https://www.stellantis.com |
Market Trend Overview for STLA
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 2026-08-17 (ET)
As of 2026-08-17, STLA is showing signs of slowing down. Over the longer term, the trend remains bearish.
STLA last closed at 5.12. The price is about 1.4 ATR below its recent average price (5.54), and the market is currently in a trend that may be losing strength. Price at 5.12 is near minor support around 4.82. Momentum may slow, while minor resistance sits near 5.92. 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 2026-06-04, trend conditions deteriorated, suggesting that moves in the prior direction became less dependable.
[2026-07-21] 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 sees a bearish edge, but still treats it as a selective downside setup rather than an aggressive downside call.
Up probability is only 38.8%, with predictability at 60% and agreement at 93%. Reversal risk is 33%, while reward/risk stands at -0.25. That suggests downside pressure is present, while the setup still remains selective rather than extreme. At the same time, recent price behavior has shown failed reversal memory.
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 18 trading days, with turnover-based decay. The sample period is 2026-07-23 to 2026-08-17. The current price is 5.12, 9.20% below the estimated average cost of 5.64. An estimated 1.1% of recent positioning is below the current price, while 97.7% is above it. The peak-density price is 5.66. The largest concentrated cost region is 5.58 to 5.86 and contains 58.0% of the estimated distribution. The current price is within the 5.12 to 5.12 cost region. The nearest region above the current price is 5.33 to 5.36.
Short Interest & Covering Risk for STLA
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 above its usual range, suggesting rising pressure on short positions, though not yet extreme. (Historical percentile: 62%)
Structure Analysis
STLA Short positioning looks normal. Current days to cover is 4.7 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 -11.0%). 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?
Days-to-Cover is elevated versus its own history, but absolute short interest remains moderate. 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
2026-07-31 (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.