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Top Roiver Score stocks

The highest-scoring stocksi on Roiver Score™. Recomputed live from each company's most recent fundamentals and current market cap. The list reflects what we cover today — coverage expands as new fundamentals are ingested.

How the score works vs F-Score / Z-Score

Overall top 20

#	Ticker	Name	Sector	Market cap	Score	Tier
1	ASTL	Algoma Steel Group Inc. Common Shares	—	$450.1M	100	Excellent
2	PKX	POSCO Holdings Inc. American Depositary Shares (Each representing 1/4th of a share of Common Stock)	—	$19.0B	100	Excellent
3	BGI	Birks Group Inc	—	$7.4M	100	Excellent
4	TSM	Taiwan Semiconductor Manufacturing Company Ltd.	—	$2.25T	100	Excellent
5	UMC	United Microelectronic Corp.	—	$56.8B	100	Excellent
6	NMM	Navios Maritime Partners L.P.	—	$2.7B	100	Excellent
7	SLRC	SLR Investment Corp. Common Stock	—	$659.0M	100	Excellent
8	FLX	BingEx Limited American Depositary Shares	—	$112.6M	100	Excellent
9	HKD	AMTD Digital Inc. American Depositary Shares (every five of which represent two Class A Ordinary Shares)	—	$531.1M	100	Excellent
10	BIP	Brookfield Infrastructure Partners L.P. Limited Partnership Units	—	$17.0B	100	Excellent
11	LPAA	Launch One Acquisition Corp. Class A Ordinary shares	blank checks	$81.0M	100	Excellent
12	BWLP	BW LPG Limited	—	$3.8B	100	Excellent
13	SJ	Scienjoy Holding Corporation Class A Ordinary Shares	services-computer processing & data preparation	$29.7M	100	Excellent
14	TBBB	BBB Foods Inc.	—	$6.1B	100	Excellent
15	IRS	IRSA Inversiones y Representaciones S.A. Global Depositary Shares	—	$1.3B	100	Excellent
16	ALVO	Alvotech Ordinary Shares	—	$1.9B	100	Excellent
17	CHT	CHUNGHWA TELECOM CO., LTD	—	$34.8B	100	Excellent
18	TLK	PT Telekomunikasi Indonesia	—	$14.7B	100	Excellent
19	ZEPP	Zepp Health Corporation American depositary shares, each representing sixteen Class A ordinary shares	—	$67.2M	100	Excellent
20	FINV	FinVolution Group American depositary shares, each representing five Class A ordinary shares	—	$802.7M	100	Excellent

By sector

The same scoring logic applied within each sector. Useful for finding the best names in a specific area without cross-sector comparison.