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XRX (Xerox Holdings Corporation): every AI call and what happened next

TradeFlare's AI research teams analysed XRX on 10 market nights between May 4, 2026 and October 1, 2026. Each row is that night's verdict, the price that day, and how the price actually moved afterwards — wins and misses alike. Nothing is edited after the fact.

10 calls 4 BUY · 6 HOLD · 0 SELL BUY calls up after 20 trading days: 2 of 4
DateVerdictPriceTarget / stop5 days later20 days laterWhy (that night)
October 1, 2026 HOLD $3.17 $3.80 / $2.69 -7.0% not yet
The scanner trigger is a short-term mean-reversion signal, and the fundamental and risk profiles suggest a longer-term bearish outlook.
September 30, 2026 HOLD $3.21 — / — -5.0% not yet
The current setup does not warrant a trade.
September 29, 2026 HOLD $3.26 — / — -8.7% not yet
The current market regime and the stock's fundamental and sentiment analysis do not support a directional trade.
July 2, 2026 BUY $3.10 — / — +0.7% +5.4%
The scanner triggered a potential oversold bounce, but the fundamental and risk profiles are too bearish for a buy.
July 1, 2026 BUY $3.13 — / — -10.3% +12.6%
None identified given the current fundamental and sentiment outlook.
June 23, 2026 BUY $3.06 — / — -0.3% -15.3%
Potential for short squeeze given high short interest.
June 22, 2026 HOLD $3.02 — / — +3.6% -10.5%
Scanner trigger for a potential oversold bounce.
June 19, 2026 BUY $3.02 — / — +3.6% -10.5%
No immediate catalysts identified for a bullish reversal.
May 5, 2026 HOLD $2.60 $3.06 / $2.21 +3.4% +23.1%
The current market regime and the bearish fundamental outlook necessitate a cautious approach, waiting for clearer signals.
May 4, 2026 HOLD $2.70 — / — +2.3% +26.5%
Continued positive momentum from Q1 earnings beat and new service launches.

Prices are daily closes. "Days later" counts trading days from the close on the day of the call. A HOLD is not a recommendation to buy; only published signals are tracked with a target and stop on the public record. How the research works. Updated October 14, 2026. AI-generated research for educational purposes — it can be wrong and is not financial advice.