News Quantified

GWLLY – great wall motor co adr (US:NASDAQ)

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China and Global Two-wheeler Intelligence and Industry Chain Research Report 2025-2026: New National Standard Drives Intelligent Popularization, AI Agent Makes Its Way onto Vehicles [Yahoo! Finance]

Great Wall Motor plans Europe relaunch with hybrids and local plant [Yahoo! Finance]

Asian Dividend Stocks To Watch In December 2025 [Yahoo! Finance]

Top News Gainers

8/8 Great Wall Motor Co Posts July Sales Volume 60,357 Units [Reuters] 9.2%

1/25 Great Wall Motor Co Posts FY Net Profit Attributable RMB 5.35 BLN, UP 6.51 PCT [Reuters] 4.1%

10/30 China shares rise after regulator pledges to enhance liquidity [Reuters (UK)] 2.7%

11/13 Great Wall Motor Co Ltd To Issue Super Short-Term Commercial Papers [Reuters] 2.5%

1/8 Great Wall Motor's Dec Vehicle Sales Up 6.5 Pct, 2018 Vehicle Sales Down 1.6 Pct [Reuters] 2.3%

10/29 GREAT WALL Mtr/ADR (OTCMKTS: GWLLY) was downgraded by analysts at HSBC Holdings plc from a "hold" rating to a "reduce" rating. 2.0%

3/28 Shanghai stocks pare most losses; Beijing vows further financial sector opening [Reuters] 1.6%

3/11 China auto sales fall 14 pct in February, mark eighth month of decline [Reuters] 1.3%

4/29 Great Wall Motor Q1 Net Profit Attributable Falls To RMB773.3 Mln [Reuters] 1.2%

3/7 Great Wall Motor Posts Feb Total Sales Volume Of 69,037 Units [Reuters] 0.4%

Top News Decliners

7/19 Great Wall Motor Sees HY Net Profit Attributable Of About RMB1.24 Bln [Reuters] -4.8%

12/27 Great Wall Motor Enters Into Asset Transfer Agreements [Reuters] -2.4%

10/27 Great Wall Motor posts record sales drop as China car market stalls [Reuters] -2.1%

4/10 China, Hong Kong stocks fall amid global slowdown worries [Reuters] -0.7%

1/11 Great Wall Motor Says Honeycomb Energy In Construction Period For Plant, Production Expected In 2020 [Reuters] -0.3%

12/6 Hong Kong SFC Reprimands And Fines SFC HK Management [Reuters] -0.2%

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In short, News Quantified specializes in matching financial news with market data. We've analyzed 10s of millions of news events and know exactly which ones have an outsized impact on stock prices. So every single time a news item is released we know exactly what the average effect will be on a particular stock.

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