GRANITESHARES 2X LONG MU ETF (MULL:NASDAQ)

$25.81 -0.67 (-2.5302%)

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Most Recent Average Sentiment Analysis Score (0 to 100): 45

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

Analysed GRANITESHARES 2X LONG MU ETF (MULL:NASDAQ) News Sources

Best-Performing Leveraged ETF Areas of Last Week

15-09-2025

yahoo.com

Micron Soars Post Q3 Earnings on AI Memory Crunch: ETFs to Watch

25-06-2026

yahoo.com

The Zacks Analyst Blog Highlights Micron, MUU, MULL, SHOC,CHPX and FTXL

26-06-2026

yahoo.com

GRANITESHARES 2X LONG MU ETF (MULL:NASDAQ) Sentiment Trend

0 25 50 75 100 74 2 60 15-09-2025 25-06-2026 26-06-2026 #1 #2 #3 Negative < 35 Neutral 35–65 Positive > 65 View FAQ

GRANITESHARES 2X LONG MU ETF (MULL:NASDAQ) FAQs

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What is the current price of GRANITESHARES 2X LONG MU ETF (MULL:NASDAQ)?

The current price of GRANITESHARES 2X LONG MU ETF (MULL:NASDAQ) is $25.81.


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GRANITESHARES 2X LONG MU ETF (MULL:NASDAQ) absolute price change since previous trading day?

The absolute price change of GRANITESHARES 2X LONG MU ETF (MULL:NASDAQ) since the previous trading day is $-0.67.


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GRANITESHARES 2X LONG MU ETF (MULL:NASDAQ) percentage price change since previous trading day?

The percentage price change of GRANITESHARES 2X LONG MU ETF (MULL:NASDAQ) since the previous trading day is -2.5302%.


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What is the most recent average sentiment score for GRANITESHARES 2X LONG MU ETF (MULL:NASDAQ)?

The most recent average sentiment score for GRANITESHARES 2X LONG MU ETF (MULL:NASDAQ) is 45 out of 100.


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What is the most recent average sentiment for GRANITESHARES 2X LONG MU ETF (MULL:NASDAQ)?

The most recent sentiment for GRANITESHARES 2X LONG MU ETF (MULL:NASDAQ) is .


SEC-8K** Filing Available For GRANITESHARES 2X LONG MU ETF (MULL:NASDAQ)

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

Author: MattELab

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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.