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新興市場銘柄ダイジェスト:リネットジャパンは急騰、イオレがストップ高

新興市場股票摘要:亮點日本加速拉升,IORE達到漲停價。

Fisco日本 ·  08/23 02:07

<9348> ispace 601 上漲9

上漲。本日,民間月面探査程序「HAKUTO-R」任務2向股東紀念優待制度的挑戰宣佈,並受到好評。根據持有股份的單位數,提供僅限股東參加任務2相關活動的申請權益、RESILIENCE(耐力)登月器的LED亞克力底座、任務2期間拍攝的僅限股東特別照片等。提供給持有截止2024年9月底股權登記簿中記載或記錄的股份1單位(100股)以上的股東。

<3556> リネットジャパン 323 上漲53

急漲。本日,根據《日本經濟新聞》電子板的報道,環境省在2025財年的稅制改革中,要求減稅措施,以便向獲得國家認定的具備高級廢物處理技術的經營者徵收法人稅。該公司在自家網站等途徑銷售再利用領域,並與全國各自治體合作,利用快遞服務回收電腦、手機、使用過的小型家電等小家電回收領域進行業務拓展。

<4068> ベイシス 1215 上漲54

急漲。本日,宣佈與電子元器件及應用設備在國內外銷售的電子商社丸文展開合作,被視爲利好消息。丸文將在其提供的無線區域設計伴隨服務中,作爲NW設備供應商和本地5G運營商與終端用戶之間的伴隨者,加強對設備安裝優化的支持。此外,通過利用丸文的新服務"イーリス顧客ポータル",使客戶能夠自行了解支持信息等,從而支持減輕運營管理工作。

<4019> スタメン 672 下跌1

Stalemate. The smartphone-based welfare service "TUNAG Benefit", which can be used every day, announced that it has exceeded 2 million users in its 10 months after release. TUNAG is a service that aims to improve organizational productivity, reduce turnover rate, promote internal communication and information sharing, and improve employee engagement. The number of companies using TUNAG has exceeded 900. TUNAG Benefit has steadily increased the number of welfare coupons issued while adding functions such as the addition of the 'Custom Coupon' function, which allows each company to add its own welfare content.

<2334> 伊奧勒 724 +100

Hit the limit. DEA and Simplex have announced the start of media cooperation with 'Rakuraku Renraku Network' regarding 'Answer to Earn', and the delivery of quiz-type advertisements through 'Rakuraku Renraku Network'. 'Answer to Earn' is a Web3-type advertising service that allows users to earn rewards by answering quizzes and questions. With this collaboration, it is possible to conduct promotions and market research using 'Answer to Earn' cryptographic assets as incentives to the 7 million members registered with Rakuraku Renraku Network.

<4378> CINC 650 +19

Rebound. It has been announced that the M&A brokerage matching system 'CAMM DB (Camdibbe)' utilizing generated AI has been developed. CAMM DB is a system that builds a database of M&A needs using generated AI and achieves optimal matching. At present, CAMM DB can automatically collect and analyze data on M&A achievements of about 20,000 companies. It can refer to a huge number of buyer needs, including information on privately held companies that are considered difficult to acquire, increase seller options, and achieve higher accuracy matching.

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