Sinostar Pec (C9Q:SGX)

$0.102 -0.006 (-5.556%)

watchlist-icon
search-icon
Profile Icon

Most Recent Average Sentiment Analysis Score (0 to 100): 46

negative-sentiment
Negative [0, 35)
neutral-sentiment
Neutral [35, 65]
positive-sentiment
Positive (65, 100]
Visualize Sentiment Trendline

Analysed Sinostar Pec (C9Q:SGX) News Sources

Investors in Sinostar PEC Holdings (SGX:C9Q) have unfortunately lost 36% over the last three years

02-01-2026

yahoo.com

Sinostar PEC Holdings' (SGX:C9Q) Returns On Capital Not Reflecting Well On The Business

11-02-2026

yahoo.com

Sinostar PEC Holdings' (SGX:C9Q) Soft Earnings Are Actually Better Than They Appear

15-04-2026

yahoo.com

We Think You Can Look Beyond Sinostar PEC Holdings' (SGX:C9Q) Lackluster Earnings

19-05-2026

yahoo.com

Sinostar Pec (C9Q:SGX) Sentiment Trend

0 25 50 75 100 77 2 46 57 02-01-2026 11-02-2026 15-04-2026 19-05-2026 #1 #2 #3 #4 Negative < 35 Neutral 35–65 Positive > 65 View FAQ

Sinostar Pec (C9Q:SGX) FAQs

toggle

What is the current price of Sinostar Pec (C9Q:SGX)?

The current price of Sinostar Pec (C9Q:SGX) is $0.102.


toggle

Sinostar Pec (C9Q:SGX) absolute price change since previous trading day?

The absolute price change of Sinostar Pec (C9Q:SGX) since the previous trading day is $-0.006.


toggle

Sinostar Pec (C9Q:SGX) percentage price change since previous trading day?

The percentage price change of Sinostar Pec (C9Q:SGX) since the previous trading day is -5.556%.


toggle

What is the most recent average sentiment score for Sinostar Pec (C9Q:SGX)?

The most recent average sentiment score for Sinostar Pec (C9Q:SGX) is 46 out of 100.


toggle

What is the most recent average sentiment for Sinostar Pec (C9Q:SGX)?

The most recent sentiment for Sinostar Pec (C9Q:SGX) is .


SEC-8K** Filing Unavailable For Sinostar Pec (C9Q:SGX)

** material developments that could impact a company's financial condition or stock price.

Author: MattELab

X Icon

GitHub Icon

MattELab is the founder and lead developer of SentientMerchant. With a Computer Science and Quantitative Finance background from a T10 university, he brings over 6 years of expertise in NLP, programmatic SEO, and full-stack development to build highly scalable AI and FinTech solutions.