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Essex Property Trust, Inc. (ESS) Corporate Logo

Essex Property Trust, Inc. (ESS) Stock Price & Analysis

Market: NYSE • Sector: Real Estate • Industry: REIT - Residential

Essex Property Trust, Inc. (ESS) Profile & Business Summary

Essex Property Trust, Inc., an S&P 500 company, is a fully integrated real estate investment trust (REIT) that acquires, develops, redevelops, and manages multifamily residential properties in selected West Coast markets. Essex currently has ownership interests in 246 apartment communities comprising approximately 60,000 apartment homes with an additional 6 properties in various stages of active development.

Key Information

Ticker ESS
Exchange NYSE
Official Site https://www.essexapartmenthomes.com
CIK Number 0000920522
View SEC Filings

Market Trend Overview for ESS

One model, two time views: what the market looks like right now, and where the larger trend is heading over time.

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 2026-03-27 (ET)

As of 2026-03-27, ESS is showing signs of slowing down. Over the longer term, the trend remains bullish.

ESS last closed at 239.61. The price is about 1.5 ATR below its recent average price (245.94), and the market is currently in a trend that may be losing strength. Price at 239.61 is near minor support around 231.37. Momentum may slow, while minor resistance sits near 258.48. View Support & Resistance from Options

Short-term weakness is unfolding within a broader uptrend, suggesting a pullback rather than a full trend reversal.

Trend Alignment Summary

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.

Key Risk Level

There is no clear risk level acting as a key boundary right now.

Recent Trend Signal

On 2026-03-19, trend conditions deteriorated, suggesting that moves in the prior direction became less dependable.

Unusual Price Movement

[2026-03-27] Price moved quickly and looked strong, but participation was limited.Bearish signal in open space between key levels. Pattern is less clear, so strength is reduced.

Recent Price Behavior

Recent bars show mixed price behavior without a clear shift in structural quality or efficiency.

Overnight Positioning

There was no clear sign of meaningful positions being carried into the overnight session.

Next-day directional probability forecast Last updated: 2026-03-27 (ET)
Next-session outlook for 2026-03-30 (ET)
No clear next-day edge

What the model sees

The model stays neutral because the setup is not clear enough to justify a directional deployment.


Why the model says this

The model does not issue an actionable directional forecast. Predictability is 38%, agreement is 90%, and reversal risk is 18%.

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

Recent Cost Distribution Last updated: 2026-03-27 (ET)

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 247.21, so the recent structure is still leaning under pressure. Price is below the main cost band (242.13 to 246.69), and roughly 96% of recent positioning remains under water. That means rebounds can still run into supply from trapped holders. The higher up selling area sits around 242.32 to 245.10, and overhead supply looks fairly concentrated there. There is also a nearby thin-trading zone below between 238.36 and 238.95, so downside can speed up if support fails and price drops into that area. From a trading point of view, this setup remains tougher until price can reclaim the lower edge of the main cost band near 242.13.

Short Interest & Covering Risk for ESS

This analysis looks at overall short interest positioning, focusing on the broader setup rather than short-term noise.

Squeeze Score 0.93

Shows how likely a short squeeze may be under current market conditions.

Key Market Risk Indicators
Short Crowding (Short Interest / Float) 2.79%
Short Positions Trend Increasing
Liquidity Trend (Average Daily Volume) -23.77%
20-Day Return -6.08%
Price vs 20-Day High Below Recent Highs

Short Exposure Percentile

Short interest is within its typical range, with no clear imbalance between buyers and sellers. (Historical percentile: 50%)

Structure Analysis

ESS Short positioning looks normal. Current days to cover is 3.7 trading days, meaning short positions would unwind somewhat slower than average. Short covering is likely to have a normal impact on price moves. Price is already trending lower (20D return -6.1%). 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. In the latest reporting period, short interest continues to increase. Average trading volume is weakening, indicating contracting liquidity. Adaptive thresholds applied to liquidity weakness, near-high detection, and compression sensitivity. Rising short pressure is occurring while liquidity is deteriorating. As a result, similar news or market events could lead to price moves about 2× 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.

Analytical Modules