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PKSHA Technology Inc.(3993) Summary

3993
TSE Prime
PKSHA Technology Inc.
2,799
JPY
-115
(-3.95%)
Apr 16, 11:30 am JST
19.60
USD
Apr 15, 10:30 pm EDT
Result
PTS
outside of trading hours
2,799.4
Apr 16, 11:29 am JST
Summary Chart Historical News Financial Result
PER
33.4
PBR
2.57
Yield
ー%
Margin Trading Ratio
4.37
Stock Price
Apr 16, 2025
Opening Apr 16, 9:00 am
2,910 JPY 20.32 USD
Previous Close Apr 15
2,914 JPY 20.37 USD
High Apr 16, 9:00 am
2,910 JPY 20.32 USD
Low Apr 16, 11:14 am
2,787 JPY 19.52 USD
Volume
396,100
Trading Value
1.13B JPY 7.90M USD
VWAP
2845.13 JPY 19.94 USD
Minimum Trading Value
279,900 JPY 1,960 USD
Market Cap
0.09T JPY 0.63B USD
Number of Trades
1,786
Liquidity & Number of Trades
As of Apr 16, 2025
Liquidity
High
1-Year Average
1,576
1-Year High Jan 29, 2025
6,749
Margin Trading
Date Short Interest Long Margin Positions Ratio
Apr 11, 2025 337,300 2,093,500 6.21
Apr 4, 2025 332,400 2,367,900 7.12
Mar 28, 2025 317,400 2,644,500 8.33
Mar 21, 2025 313,000 2,541,800 8.12
Mar 14, 2025 319,500 2,447,300 7.66
Company Profile
PKSHA Technology Inc. is an AI venture company focusing on deep learning technology development, including image recognition and automated dialogue. The company collaborates with Toyota.
Sector
Information & Communication
PKSHA Technology Inc. develops algorithm modules centered on machine learning, natural language processing, and deep learning as an AI venture. Utilizing these technologies, the company supports client businesses in improving operational efficiency and enhancing added value. In its AI Research & Solution business, PKSHA Technology conducts comprehensive services from joint research and development to solution provision with partner companies. The AI SaaS business offers products such as automated response engines, FAQ systems, and RPA software, enabling automation and efficiency in corporate customer touchpoints and internal operations. Through partnerships with industry-leading companies, PKSHA Technology develops high-quality software. The company achieves high retention rates and profitability through accuracy improvements based on data feedback and a monthly subscription model.