WhaleQuant.io
Full Truck Alliance Co. Ltd. (YMM) Corporate Logo

Full Truck Alliance Co. Ltd. (YMM) Stock Price & Analysis

Market: NYSE • Sector: Technology • Industry: Software - Application

Full Truck Alliance Co. Ltd. (YMM) Profile & Business Summary

Full Truck Alliance Co. Ltd., together with its subsidiaries, operates a digital freight platform that connects shippers with truckers to facilitate shipments across distance ranges, cargo weights, and types in the People's Republic of China. The company offers freight listing, matching, and brokerage services; and online transaction services, as well as various value-added services, such as credit solutions, insurance brokerage, electronic toll collection, and energy services. It also provides technology development and other services. The company was founded in 2011 and is based in Guiyang, China.

Key Information

Ticker YMM
Exchange NYSE
Official Site https://www.fulltruckalliance.com
CIK Number 0001838413
View SEC Filings

Market Trend Overview for YMM

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 2026-03-25 (ET)

As of 2026-03-25, YMM is showing signs of slowing down. Over the longer term, the trend remains bearish.

YMM last closed at 8.35. The price is about 0.8 ATR below its recent average price (8.63), and the market is currently in a trend that may be losing strength. Price at 8.35 is near minor support around 7.89. Momentum may slow, while minor resistance sits near 9.46. View Support & Resistance from Options

Short-term and long-term trends are aligned to the downside, keeping downside risk dominant.

Trend Alignment Summary

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.

Key Risk Level

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

Recent Trend Signal

On 2026-01-08, trend conditions deteriorated, suggesting that moves in the prior direction became less dependable.

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: 2026-03-25 (ET)
Next-session outlook for 2026-03-26 (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 deploy this setup because predictability is still too low, price is still close to a gamma transition zone, recent price behavior has shown failed reversal memory, and there is meaningful next-session pullback or digestion risk. Predictability is 27%, agreement is 67%, and reversal risk is 27%.

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: 2026-03-25 (ET)

This reading is based on the last 20 trading days of 15-minute price, volume, and VWAP data. Price is trading 4.0% below the recent estimated cost basis of 8.70, so the recent structure is still leaning under pressure. Price is in the upper half of the main cost band (8.21 to 8.37), which is usually a healthier short-term location because price is holding the stronger side of recent trading activity. The higher up selling area sits around 8.79 to 8.81, so rebounds may begin to slow as price pushes into that zone. Recent positioning looks fairly balanced, with 35% in profit and 65% under water. 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 YMM

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

Squeeze Score 0.75

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

Key Market Risk Indicators
Short Crowding (Short Interest / Float) 2.10%
Short Positions Trend Not Increasing
Liquidity Trend (Average Daily Volume) -16.54%
20-Day Return -12.93%
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

YMM Short positioning looks normal. Current days to cover is 2.8 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 -12.9%). 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 2026-02-27 (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