# When a well-known short-seller publicly abandons a position AND says the stock is still worth half its price, it usually shakes out other investors who were hoping the famous-name endorsement meant the bottom was in. Alibaba is already down 40% on worries

_AI-generated trading idea · BEARISH · BABA, XPEV_

> Canonical page: https://commonquant.ai/research/for-you/when-a-well-known-short-seller-publicly-abandons-a-position--fbc429f4-9b34-4d72-a658-092c0b67c696

When a well-known short-seller publicly abandons a position AND says the stock is still worth half its price, it usually shakes out other investors who were hoping the famous-name endorsement meant the bottom was in. Alibaba is already down 40% on worries that AI is eating its business, and now the management-credibility problem adds a second reason to sell. Xpeng's weak delivery forecast the same week shows this isn't just one company's problem — the market is losing faith in Chinese growth stories broadly. Betting against Alibaba while that sentiment deteriorates has the wind at its back.

## Idea

When a well-known short-seller publicly abandons a position AND says the stock is still worth half its price, it usually shakes out other investors who were hoping the famous-name endorsement meant the bottom was in. Alibaba is already down 40% on worries that AI is eating its business, and now the management-credibility problem adds a second reason to sell. Xpeng's weak delivery forecast the same week shows this isn't just one company's problem — the market is losing faith in Chinese growth stories broadly. Betting against Alibaba while that sentiment deteriorates has the wind at its back.

## Advanced Analysis

### Verdict: wait — the headlines are real but the signal isn't there yet

This is a headline-driven short thesis, and the strongest thing it has going is genuine sentiment damage: per the Yahoo Finance pieces from August 24, Michael Burry abandoned his Alibaba stake over a broken management pledge while calling for the stock to halve, and Xpeng's weak delivery forecast the same week (per CNBC) fed the idea's broader loss-of-faith narrative. But the fundamentals cut hard the other way: Alibaba still grew revenue 8.1% to $148.4B with gross margin recovered to 39.8%, and Xpeng inflected to a company-best 18.9% gross margin with positive free cash flow of $5.1B — these are not businesses rolling over. Critically, the strategy's rules never triggered across 1,237 evaluated daily bars, and the parameter sensitivity evaluation ran out of its time budget without establishing a robust setup, so there is no validated configuration and no live signal to act on. BABA's MACD at +2.06 and XPEV's ADX at 17.6 both sit on the wrong side of their entry gates, making this a wait, not a trade.

\*\*Conviction breakdown\*\*
\- \*\*Thesis support (35):\*\* the credibility shock is real, but shorting a 40%-down name with stable revenue against improving Xpeng numbers is a weak fundamental anchor.
\- \*\*Trade readiness (15):\*\* zero triggers in 60 months of evaluated bars and no robust parameter setup were established, so nothing is actionable.
\- \*\*Risk quality (45):\*\* the 2% fixed-risk cap and ~2:1 reward-to-risk framework are sensible, but XPEV's ~70% volatility and the basket's ~81% expected drawdown leave heavy tails.
\- \*\*Trigger proximity (40):\*\* BABA's ADX of 26.3 clears its gate but MACD is far off; XPEV is 2.4 ADX points short — partial, not confirmed.
\- \*\*Fundamentals trend (30):\*\* margins, growth, and cash flow at both companies contradict the deterioration the short requires.

#### Conviction score breakdown

Composite score computed by the server from the applicable evidence-tier dimensions.

| Measure | Value |
| --- | ---: |
| Thesis support | 35/100 |
| Trade readiness | 15/100 |
| Risk quality | 45/100 |
| Trigger proximity | 40/100 |
| Fundamentals trend | 30/100 |
| Score | 33/100 |
| Composite Score | 33/100 |
| Evidence Tier | rules\_not\_triggered |

#### Decision scenarios

Bull, base, and bear cases synthesized from the cited evidence tier. Likelihoods are rounded evidence-weighted judgments, not statistically calibrated forecasts.

| Measure | Value |
| --- | ---: |
| Evidence Tier | rules\_not\_triggered |

### Trade now

This is a watch-list setup, not a live signal: the strategy's rules were evaluated across 1,237 daily bars on Alibaba over the past 60 months and never opened an entry, so today's job is to monitor the trigger levels, not to press the short button. Alibaba last closed at $118.93, between nearest support at $117.93 and nearest resistance at $120. Momentum is only halfway to the strategy's requirements: the 14-day RSI at 36.5 is weak but not capitulatory, the 14-day ADX of about 26.3 already clears the 'above 20' trend-strength gate, but the MACD histogram near +2.1 sits on the wrong side of the 'below zero' trigger. Whether on-balance volume has crossed below its 20-day average cannot be confirmed with current data, so that condition remains unresolved.

XPeng is closer to the template. It closed at $11.14 — down about 60% from its range high and sitting at its range low — with an RSI of 27.9 and a MACD histogram of about -0.7 that already satisfies the negative-momentum condition. The gap is trend strength: its ADX of roughly 17.6 is about 2.4 points short of the 'above 20' trigger, and on-balance volume still needs to cross below its 20-day average. In practice, 'wait' means XPeng needs another leg of sustained selling — roughly two to three more distribution days — to push ADX above 20 and force the on-balance-volume cross.

If and when an entry triggers, the risk framework is explicit: a stop at roughly 2.7% adverse movement (fixed-risk sizing at the second resistance level), a take-profit at 5.3%, an effective reward-to-risk of about 2-to-1, and a hard time stop at 45 trading bars. For Alibaba, a near-term stop on a short would logically sit just above the $120 resistance shelf, roughly 2.7% away near $122. For XPeng, resistance at $12.00 marks the same invalidation zone. The two names are nearly uncorrelated day to day (a correlation of about 0.05 over 730 days), so this is not a doubled bet on one factor.

#### BABA price and trigger map

Uses the idea timeframe and keeps price levels on the price axis.

| Measure | Value |
| --- | ---: |
| Ticker | BABA |
| Timeframe | 1d |

#### XPEV price and trigger map

Uses the idea timeframe and keeps price levels on the price axis.

| Measure | Value |
| --- | ---: |
| Ticker | XPEV |
| Timeframe | 1d |

### Why the bear case has real fuel

The bear thesis centers on a credibility shock: per the Yahoo Finance pieces from August 24, Michael Burry abandoned his Alibaba position over what he calls a broken management pledge, and separately argued the stock — already down roughly 40% on AI-disruption fears — still needs to fall by half. When a famous-name bear both exits and doubles down on the valuation call, the idea argues, the 'smart money has the…

#### XPEV Revenue

Revenue trend from CommonQuant fundamentals/XBRL data; +790336.2% from first to latest point.

| Measure | Value |
| --- | ---: |
| 2018-12-31 | $9706000 |
| 2019-12-31 | $2321219000 |
| 2020-12-31 | $895681000 |
| 2021-12-31 | $20988131000 |
| 2022-12-31 | $26855119000 |
| 2023-12-31 | $30676067000 |
| 2024-12-31 | $40866309000 |
| 2025-12-31 | $76719742000 |
| Latest Value | $76719742000 |
| Change Pct | $790336.2456212651 |
| Ticker | XPEV |
| Timeframe | reported periods |

#### XPEV Free cash flow

Free cash flow trend from CommonQuant fundamentals/XBRL data; +317.8% from first to latest point.

| Measure | Value |
| --- | ---: |
| 2018-12-31 | $-2343054000 |
| 2019-12-31 | $-5394358000 |
| 2020-12-31 | $-144955000 |
| 2021-12-31 | $-3394289000 |
| 2022-12-31 | $-12508214000 |
| 2023-12-31 | $-1140162000 |
| 2024-12-31 | $-4238454000 |
| 2025-12-31 | $5102664000 |
| Latest Value | $5102664000 |
| Change Pct | $317.7783354544966 |
| Ticker | XPEV |
| Timeframe | reported periods |

#### BABA sector percentile check

Ranks BABA against 540 companies in its sector using CommonQuant fundamentals.

| Measure | Value |
| --- | ---: |
| Rnd Intensity | \24.166666666666668th percentile |
| Return on equity | \68.69501466275659th percentile |
| Operating margin | \67.8030303030303th percentile |
| Revenue growth (YoY) | \34.96978851963746th percentile |
| Ticker | BABA |
| Sector | Information Technology |
| Peer Count | 540 |

### Scores

- **Conviction score breakdown:** 33
- **Thesis support:** 35
- **Trade readiness:** 15
- **Risk quality:** 45
- **Trigger proximity:** 40
- **Fundamentals trend:** 30

### Watch items

- **XPEV — ADX (14)**
- **XPEV — OBV vs 20-day average**
- **BABA — MACD (12,26,9) histogram**
- **BABA — Close vs support**
- **BABA — Close vs 10-day EMA**
- **XPEV — Close vs resistance**
- **BABA — Price below 0**
- **BABA — MACD (12,26,9) below 0**
- **BABA — ADX (14) above 20**
- **BABA — ADX (14) below 15**
- **BABA — Price above EMA (10)**

## Key details

- Symbols: BABA, XPEV
- Timeframes: 1d
- Tags: \#canonical-demand, \#cluster-version:1, \#direction:bearish, \#entity-kind:instrument, \#entity:BABA, \#entity:XPEV, \#horizon:unspecified, \#intent:research, \#symbol:BABA, \#symbol:XPEV

## Community

- Upvotes: 0
- Views: 0
- Copies: 0
- Cosigns: 0

## News sources

- [Michael Burry Abandons Alibaba Over Broken Management Pledge](https://finance.yahoo.com/markets/stocks/articles/michael-burry-abandons-alibaba-over-134538549.html) — Yahoo Finance
- [Down 40% on AI Pressure, Michael Burry Says Alibaba Needs to Still Fall by Half](https://finance.yahoo.com/markets/stocks/articles/down-40-ai-pressure-michael-134106375.html) — Yahoo Finance
- [Xpeng shares sink as weak delivery forecast overshadows $6.3 billion robot unit valuation](https://www.cnbc.com/2026/08/25/xpeng-shares-robot-valuation-china.html) — CNBC

## Related

- [BABA trade ideas](https://commonquant.ai/stocks/baba)
- [XPEV trade ideas](https://commonquant.ai/stocks/xpev)
- [Latest market news](https://commonquant.ai/news)

## About CommonQuant Research

Ideas and Advanced Analysis are generated with fresh, LLM-selected news headlines and grounded in SEC XBRL fundamentals and peer percentiles. Strategies built from these ideas are automatically backtested (12-month and 5-year, walk-forward tuned) and stress-tested before they can go live, then monitored against the news hourly while they run.