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Japan's main stock market index, the JP225, rose to 42762 points on August 12, 2025, gaining 2.25% from the previous session. Over the past month, the index has climbed 8.37% and is up 18.02% compared to the same time last year, according to trading on a contract for difference (CFD) that tracks this benchmark index from Japan. Japan Stock Market Index (JP225) - values, historical data, forecasts and news - updated on August of 2025.
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Prices for Japan Stock Market Index (JPVIX) including live quotes, historical charts and news. Japan Stock Market Index (JPVIX) was last updated by Trading Economics this August 11 of 2025.
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Graph and download economic data for Nikkei Stock Average, Nikkei 225 (NIKKEI225) from 1949-05-16 to 2025-08-08 about stocks, stock market, Japan, and indexes.
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Key information about Japan Nikkei 225 Stock
The Nikkei Stock Average (Nikkei 225) closed at ********* points in July 2025. In February 2024, the index surpassed an all-time high recorded in 1989. The Nikkei 225 is a price-weighted stock market index that has been calculated by the Nihon Keizai Shimbun (Nikkei) newspaper since 1950. It comprises 225 constituents listed on the Prime Market of the Tokyo Stock Exchange (TSE).
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With LSEG's Tokyo Stock Exchange (TSE) Data, gain full access to benchmarks, indices, reference data, market depth data, and more.
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Key information about Japan Market Capitalization
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Japan's main stock market index, the JP225, rose to 42751 points on August 12, 2025, gaining 2.23% from the previous session. Over the past month, the index has climbed 8.34% and is up 17.99% compared to the same time last year, according to trading on a contract for difference (CFD) that tracks this benchmark index from Japan. Japan Stock Market Index (JP225) - values, historical data, forecasts and news - updated on August of 2025.
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This analysis presents a rigorous exploration of financial data, incorporating a diverse range of statistical features. By providing a robust foundation, it facilitates advanced research and innovative modeling techniques within the field of finance.
Historical daily stock prices (open, high, low, close, volume)
Fundamental data (e.g., market capitalization, price to earnings P/E ratio, dividend yield, earnings per share EPS, price to earnings growth, debt-to-equity ratio, price-to-book ratio, current ratio, free cash flow, projected earnings growth, return on equity, dividend payout ratio, price to sales ratio, credit rating)
Technical indicators (e.g., moving averages, RSI, MACD, average directional index, aroon oscillator, stochastic oscillator, on-balance volume, accumulation/distribution A/D line, parabolic SAR indicator, bollinger bands indicators, fibonacci, williams percent range, commodity channel index)
Feature engineering based on financial data and technical indicators
Sentiment analysis data from social media and news articles
Macroeconomic data (e.g., GDP, unemployment rate, interest rates, consumer spending, building permits, consumer confidence, inflation, producer price index, money supply, home sales, retail sales, bond yields)
Stock price prediction
Portfolio optimization
Algorithmic trading
Market sentiment analysis
Risk management
Researchers investigating the effectiveness of machine learning in stock market prediction
Analysts developing quantitative trading Buy/Sell strategies
Individuals interested in building their own stock market prediction models
Students learning about machine learning and financial applications
The dataset may include different levels of granularity (e.g., daily, hourly)
Data cleaning and preprocessing are essential before model training
Regular updates are recommended to maintain the accuracy and relevance of the data
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TSE: C: Average: PE Ratio: SM: Wholesale Trade data was reported at 10.300 Times in Apr 2025. This stayed constant from the previous number of 10.300 Times for Mar 2025. TSE: C: Average: PE Ratio: SM: Wholesale Trade data is updated monthly, averaging 11.200 Times from Apr 2022 (Median) to Apr 2025, with 37 observations. The data reached an all-time high of 17.400 Times in Apr 2022 and a record low of 9.900 Times in Nov 2024. TSE: C: Average: PE Ratio: SM: Wholesale Trade data remains active status in CEIC and is reported by Japan Exchange Group Inc.. The data is categorized under Global Database’s Japan – Table JP.Z: Tokyo Stock Exchange: Price Earnings Ratio. [COVID-19-IMPACT]
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TSE: C: Average: PE Ratio: SM: Precision Instruments data was reported at 16.100 Times in Apr 2025. This records a decrease from the previous number of 16.900 Times for Mar 2025. TSE: C: Average: PE Ratio: SM: Precision Instruments data is updated monthly, averaging 15.700 Times from Apr 2022 (Median) to Apr 2025, with 37 observations. The data reached an all-time high of 18.200 Times in May 2022 and a record low of 14.000 Times in Jul 2024. TSE: C: Average: PE Ratio: SM: Precision Instruments data remains active status in CEIC and is reported by Japan Exchange Group Inc.. The data is categorized under Global Database’s Japan – Table JP.Z: Tokyo Stock Exchange: Price Earnings Ratio. [COVID-19-IMPACT]
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TSE: C: Average: PE Ratio: SM: Fishery, Agriculture & Forestry data was reported at 20.000 Times in Apr 2025. This records a decrease from the previous number of 20.100 Times for Mar 2025. TSE: C: Average: PE Ratio: SM: Fishery, Agriculture & Forestry data is updated monthly, averaging 14.800 Times from Apr 2022 (Median) to Apr 2025, with 37 observations. The data reached an all-time high of 20.100 Times in Mar 2025 and a record low of 10.900 Times in Jun 2022. TSE: C: Average: PE Ratio: SM: Fishery, Agriculture & Forestry data remains active status in CEIC and is reported by Japan Exchange Group Inc.. The data is categorized under Global Database’s Japan – Table JP.Z: Tokyo Stock Exchange: Price Earnings Ratio.
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This analysis presents a rigorous exploration of financial data, incorporating a diverse range of statistical features. By providing a robust foundation, it facilitates advanced research and innovative modeling techniques within the field of finance.
Historical daily stock prices (open, high, low, close, volume)
Fundamental data (e.g., market capitalization, price to earnings P/E ratio, dividend yield, earnings per share EPS, price to earnings growth, debt-to-equity ratio, price-to-book ratio, current ratio, free cash flow, projected earnings growth, return on equity, dividend payout ratio, price to sales ratio, credit rating)
Technical indicators (e.g., moving averages, RSI, MACD, average directional index, aroon oscillator, stochastic oscillator, on-balance volume, accumulation/distribution A/D line, parabolic SAR indicator, bollinger bands indicators, fibonacci, williams percent range, commodity channel index)
Feature engineering based on financial data and technical indicators
Sentiment analysis data from social media and news articles
Macroeconomic data (e.g., GDP, unemployment rate, interest rates, consumer spending, building permits, consumer confidence, inflation, producer price index, money supply, home sales, retail sales, bond yields)
Stock price prediction
Portfolio optimization
Algorithmic trading
Market sentiment analysis
Risk management
Researchers investigating the effectiveness of machine learning in stock market prediction
Analysts developing quantitative trading Buy/Sell strategies
Individuals interested in building their own stock market prediction models
Students learning about machine learning and financial applications
The dataset may include different levels of granularity (e.g., daily, hourly)
Data cleaning and preprocessing are essential before model training
Regular updates are recommended to maintain the accuracy and relevance of the data
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License information was derived automatically
TSE: C: Average: PE Ratio: SM: Metal Products data was reported at 10.900 Times in Apr 2025. This records a decrease from the previous number of 11.100 Times for Mar 2025. TSE: C: Average: PE Ratio: SM: Metal Products data is updated monthly, averaging 11.200 Times from Apr 2022 (Median) to Apr 2025, with 37 observations. The data reached an all-time high of 13.000 Times in Mar 2024 and a record low of 8.800 Times in Sep 2022. TSE: C: Average: PE Ratio: SM: Metal Products data remains active status in CEIC and is reported by Japan Exchange Group Inc.. The data is categorized under Global Database’s Japan – Table JP.Z: Tokyo Stock Exchange: Price Earnings Ratio. [COVID-19-IMPACT]
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Japan Turnover: Value: Tokyo Stock Exchange: Daily Average data was reported at 3,188.023 JPY bn in Nov 2018. This records a decrease from the previous number of 3,530.589 JPY bn for Oct 2018. Japan Turnover: Value: Tokyo Stock Exchange: Daily Average data is updated monthly, averaging 1,174.660 JPY bn from Dec 1986 (Median) to Nov 2018, with 384 observations. The data reached an all-time high of 4,113.738 JPY bn in May 2013 and a record low of 167.590 JPY bn in Jan 1993. Japan Turnover: Value: Tokyo Stock Exchange: Daily Average data remains active status in CEIC and is reported by Japan Exchange Group. The data is categorized under Global Database’s Japan – Table JP.Z001: All Stock Exchange: Number of Listed Company, Market Cap, Capital Raised, Turnover.
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Time Series Analysis is an important part in Data science toolkit. This dataset was created from Yahoo Finance with the help of their official API yfinance.
This dataset contains closing price of Top 4 indexes recorded over daily frame from 1994 to 2021 October (27 years).
Column | Description |
---|---|
Date | Date from 7th January 1994 to 28th October 2021 in format yyyy/mm/dd |
spx | The S&P 500 Index, or Standard & Poor's 500 Index, is a market-capitalization-weighted index of 500 leading publicly traded companies in the U.S |
dax | The DAX—also known as the Deutscher Aktien Index—is a stock index that represents 40 of the largest and most liquid German companies that trade on the Frankfurt Exchange |
ftse | The Financial Times Stock Exchange (FTSE), now known as FTSE Russell Group, is a British financial organization that specializes in providing index offerings for the global financial markets |
nikkie | The Nikkei is short for Japan's Nikkei 225 Stock Average, the leading and most-respected index of Japanese stocks. |
In 2025, stock markets in the United States accounted for roughly ** percent of world stocks. The next largest country by stock market share was China, followed by the European Union as a whole. The New York Stock Exchange (NYSE) and the NASDAQ are the largest stock exchange operators worldwide. What is a stock exchange? The first modern publicly traded company was the Dutch East Industry Company, which sold shares to the general public to fund expeditions to Asia. Since then, groups of companies have formed exchanges in which brokers and dealers can come together and make transactions in one space. Stock market indices group companies trading on a given exchange, giving an idea of how they evolve in real time. Appeal of stock ownership Over half of adults in the United States are investing money in the stock market. Stocks are an attractive investment because the possible return is higher than offered by other financial instruments.
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Japan TSE: Market Capitalization: All Shares data was reported at 953,183.830 JPY bn in Apr 2025. This records an increase from the previous number of 947,316.384 JPY bn for Mar 2025. Japan TSE: Market Capitalization: All Shares data is updated monthly, averaging 254,027.652 JPY bn from May 1949 (Median) to Apr 2025, with 912 observations. The data reached an all-time high of 1,007,704.962 JPY bn in Mar 2024 and a record low of 105.296 JPY bn in Feb 1950. Japan TSE: Market Capitalization: All Shares data remains active status in CEIC and is reported by Japan Exchange Group Inc.. The data is categorized under Global Database’s Japan – Table JP.Z: Tokyo Stock Exchange: Market Capitalization. Before 2013 July, total Market Capitalization of TSE covers TSE 1st section, 2nd section and Mothers, Starting from 2013 July, total Market Capitalization of TSE also covers market capitalization of TOKYO PRO Market, JASDAQ Standard and JASDAQ Growth.
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The Japan Trade Finance market, valued at approximately ¥30 trillion (estimated based on global market trends and the provided CAGR) in 2025, exhibits robust growth potential with a Compound Annual Growth Rate (CAGR) exceeding 6.00%. This expansion is fueled by several key drivers. Firstly, Japan's significant role in global trade, particularly within Asia, creates consistent demand for trade finance solutions. Secondly, the increasing complexity of international trade transactions necessitates sophisticated financial instruments and services. Thirdly, government initiatives aimed at promoting exports and attracting foreign investment indirectly stimulate the market. The market segmentation reveals a significant contribution from banks and trade finance companies as service providers, while international trade transactions represent a substantial share of applications. This market's growth, however, faces certain restraints, including global economic uncertainty, fluctuations in currency exchange rates, and increasingly stringent regulatory compliance requirements. These factors can impact both the volume of trade and the risk appetite of financial institutions. Looking ahead to 2033, the Japan Trade Finance market is projected to experience considerable expansion driven by continued growth in Japanese exports and imports and the increasing adoption of digital trade finance solutions. This digital shift promises to streamline processes, reduce costs, and enhance efficiency. While challenges remain, proactive adaptation by market players, focusing on innovative technology, risk mitigation strategies, and regulatory compliance, will be crucial in navigating the evolving landscape and capturing the market's growth potential. The prominence of established players like Wells Fargo, Morgan Stanley, and Sumitomo Mitsui Banking Corporation underscores the market's maturity and competitive intensity. However, the emergence of fintech companies and their innovative offerings presents both opportunities and challenges for traditional players. Recent developments include: October 2022: Morgan Stanley Investment Management (MSIM) chose Opportunity Finance Network (OFN) as its diversity and inclusion partner for MSIM's charity donation connected to the recently introduced Impact Class, the firm said today. The OFN is a top national network comprising 370 Community Development Finance Institutions (CDFIs). Its goal is to help underserved areas get cheap, honest financial services and products., August 2022: A Memorandum of Understanding (MOU) was signed between Sumitomo Mitsui Banking Corporation (SMBC; President and CEO: Makoto Takashima) and Banque Misr to foster cooperation about trade digitization. The two banks' collaboration in trade digitalization will be accelerated by signing this MOU, which also aims to strengthen cross-industry collaboration. This collaboration will include digitalizing trade documents and visualizing trade transaction processes between Egypt, Japan, and other Asian nations.. Notable trends are: Digitization is Boosting the Market.
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The Japan IT Services Market size was valued at USD 77.90 billion in 2023 and is projected to reach USD 149.88 billion by 2032, exhibiting a CAGR of 9.8 % during the forecasts period. The Japan IT services market is one of the significant components of the Japanese economy, backed up by the high need for technological breakthrough in the country’s companies. The Japanese IT services market entrée comprehensively covers any services, which include cloud services, security solutions, software solutions as well as IT advisory. Today, companies in Japan utilize such services in an attempt to increase the organizational effectiveness, enhance the quality of deliveries for customers, and stay relevant in today’s fast-growing environment. The main trends in the market are characterized by automations and artificial intelligence as well as the practice of using hybrid cloud options. Moreover, the compliance with the required regulations due to the protection of the individual data is also becoming more important. Recent developments include: In August 2023, Fujitsu Limited introduced an innovative AI module tailored for retailers, designed to produce AI avatars and personalized promotional content on digital signage by analyzing in-store consumer behavior data. The objective is to tackle labor shortages by automating certain tasks and delivering tailored services that cater to individual customer preferences, achieved through practical and innovative AI solutions , In August 2023, Accenture and Coca-Cola Bottlers Japan Inc., a Japanese soft drinks manufacturer, announced their collaboration to create a joint venture that would begin operations in January 2024. This partnership aims to assist Coca-Cola in transforming into a data-focused organization with more efficient back-office and administrative functions. Accenture will play a key role in delivering localized business process-managed services as part of this initiative , In July 2023, NEC Corporation developed a generative artificial intelligence (AI) system that can be tailored to the specific needs of individual customers, enabling companies to adapt to evolving business landscapes influenced by emerging technologies. Commencing in July 2023 in Japan, NEC launched the "NEC Generative AI Service," offering licenses for exclusive large language models (LLM), software, dedicated hardware, consulting services, and additional support. Subsequently, expansion into new markets is planned after the fiscal year 2024 .
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Japan's main stock market index, the JP225, rose to 42762 points on August 12, 2025, gaining 2.25% from the previous session. Over the past month, the index has climbed 8.37% and is up 18.02% compared to the same time last year, according to trading on a contract for difference (CFD) that tracks this benchmark index from Japan. Japan Stock Market Index (JP225) - values, historical data, forecasts and news - updated on August of 2025.