To make your US stock investment more accessible, MOOMOO Securities has introduced the "micro US Stocks (Fractional Stocks)" service, which can be traded from 1 US dollar. has been newly introduced!
Even for those new to investing or those hoping to invest small amounts, you can now easily start investing in US stocks.
What are micro cap stocks in the US?
Normally, trading US stocks is based on trading in units of one share, but with micro cap US stocksInvesting is possible with less than one share, starting from one dollar!Order placement includesSpecifying the number of sharesandSpecifying the amountCan be selected.
Specifying the number of shares: Purchase is possible from 0.0001 shares.
For stocks with a price of 1 dollar or more, you can buy from 0.01 shares.You can buy from 0.01 shares.Additionally, concurrent ordering of single unit physical stocks is possible (market and limit orders only).
Specifying the amount：1 DollarCan be purchased from.
Now, receive a 500 yen cash back on your first U.S. stock trade! Check it out now >>
The appeal of micro US stocks (fractional stocks)
With industry-leading* trading fees of 0.132% (including tax), and 0 yen for NISA growth accounts!Even if there is a surplus of the growth investment quota in NISA,Aim for full utilization up to the limit!
Begin with beginner-friendly experiential investmentsStart investing with a smaller amount, and...

$Canopy Growth (CGC.US)$
The people investing here are seasoned individuals who have properly studied and understood the situation. They are investing based on the fundamentals that the DEA will reach stage 3 and that Trump will make statements about legalization in 2025. This is different from amateurs buying Orcan. We are investors.

$Canopy Growth (CGC.US)$ Buy gradually.

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Successfully increased the purchase of 200 shares in the $19 range.
Now is the time to lower the average acquisition cost.

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I've made various Posts this past month, but there hasn't been a single negative statement, because I believe Gorilla Technology will reach 50 to 100 dollars this year, having invested nearly 80 million.
The conviction has not changed even now. Looking forward to the webinar on February 19. Newcomers are also recommended to join Gorilla Technology.
This year. $Palantir (PLTR.US)$ $BigBear.ai Holdings (BBAI.US)$ I think it is a strong year for small Software combined with.

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Ligetti Computing (NASDAQ: Target Materials) CEO Sbord Kurkarni, in an interview with Yahoo Finance, stated that following the recent surge in stock prices, the company and the Quantum Computing industry need to "temper expectations."
"Especially in the field of Quantum Computing, there has been continued exaggeration and some incorrect statements, including from industry insiders, so it is necessary to temper expectations to some extent," said Kurkarni.Stated to the media.。
"So I have to tell investors that it's not the time to talk about sales or sales growth yet because we are still in the technology development stage," Mr. Kurkarni added. "We must complete the technology before significant differences in sales really begin to emerge."
Shares of Rigetti rose 18% in pre-market trading on Wednesday, IonQ ( IONQ), and Arqit Quantum (ARQQ), Quantum Computing(QUBT), D-Wave Systems(QBTS) and other stocks in the same sector also showed healthy price increases....

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Semianalysis, a US research firm that analyzes technological trends and market trends in the semiconductor, artificial intelligence (AI), and cloud computing fields, released a report on January 31st about expenses related to the development of Chinese AI startup Deep Seek. In the same report, Deep Seek attracted attention with one topic, that the 'training cost is less than 6 million dollars,' which only refers to the cost of the chips during pre-training and points out that it is only a very small part of the overall cost. Despite considering the impact of US semiconductor export regulations, Deep Seek estimated that they have spent at least over 0.5 billion dollars on purchasing semiconductor chips.
The report states that Deep Sea utilizes NVIDIA's super chip (Note 1), estimating that it uses approximately 0.01 million H800, 0.01 million H100, and 0.03 million H20, totaling more than 0.05 million super chips. H800 has the same computational power as H100, but its network bandwidth (Note 2) is limited. Both are subject to US export restrictions, but Deep Sea...

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Expecting great future prospects for TESLA!