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.

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.

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.

About this Dataset

Results of scraping Google News search results for "JPY" (2017-2022).

Category

Markets

Keywords

jpy,news,google news,google

Row Count

1233

Price

$1700.00

Annual securities report, Large shareholding report, Registration Statement, Extraordinary report, Share repurchase report, Amendment-Report of Possession of Large Volume, Equity finance, TOB・M&A, Share buyback, Notice of general meeting of shareholders, Dividend forecast, Quarterly earnings report, Revised earnings forecast are available.

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).

Comprehensive dataset of 63 News services in Tokyo, Japan as of July, 2025. Includes verified contact information (email, phone), geocoded addresses, customer ratings, reviews, business categories, and operational details. Perfect for market research, lead generation, competitive analysis, and business intelligence. Download a complimentary sample to evaluate data quality and completeness.

Techsalerator offers an extensive dataset of End-of-Day Pricing Data for all 4 companies listed on the Nagoya Stock Exchange (XNGO) in Japan. This dataset includes the closing prices of equities (stocks), bonds, and indices at the end of each trading session. End-of-day prices are vital pieces of market data that are widely used by investors, traders, and financial institutions to monitor the performance and value of these assets over time.

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Top 5 used data fields in the End-of-Day Pricing Dataset for Japan:

1. Equity Closing Price :The closing price of individual company stocks at the end of the trading day.This field provides insights into the final price at which market participants were willing to buy or sell shares of a specific company.

2. Bond Closing Price: The closing price of various fixed-income securities, including government bonds, corporate bonds, and municipal bonds. Bond investors use this field to assess the current market value of their bond holdings.

3. Index Closing Price: The closing value of market indices, such as the Botswana stock market index, at the end of the trading day. These indices track the overall market performance and direction.

4. Equity Ticker Symbol: The unique symbol used to identify individual company stocks. Ticker symbols facilitate efficient trading and data retrieval.

5. Date of Closing Price: The specific trading day for which the closing price is provided. This date is essential for historical analysis and trend monitoring.

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Top 5 financial instruments with End-of-Day Pricing Data in Japan:

Nikkei 225: The main index that tracks the performance of major companies listed on the Tokyo Stock Exchange. This index provides an overview of the overall market performance in Japan.

TOPIX: The index that tracks the performance of all domestic companies listed on the Tokyo Stock Exchange. This index reflects the performance of a broader range of companies in the Japanese market.

Company A: A prominent Japanese company with diversified operations across various sectors, such as automotive, electronics, or manufacturing. This company's stock is widely traded on the Tokyo Stock Exchange.

Company B: A leading financial institution in Japan, offering banking, insurance, or investment services. This company's stock is actively traded on the Tokyo Stock Exchange.

Company C: A major player in the Japanese consumer goods sector or other industries, involved in the production and distribution of consumer products. This company's stock is listed and actively traded on the Tokyo Stock Exchange.

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If you're interested in accessing Techsalerator's End-of-Day Pricing Data for Japan, please contact info@techsalerator.com with your specific requirements. Techsalerator will provide you with a customized quote based on the number of data fields and records you need. The dataset can be delivered within 24 hours, and ongoing access options can be discussed if needed.

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Data fields included:

Equity Ticker Symbol Equity Closing Price Bond Ticker Symbol Bond Closing Price Index Ticker Symbol Index Closing Price Date of Closing Price Equity Name Equity Volume Equity High Price Equity Low Price Equity Open Price Bond Name Bond Coupon Rate Bond Maturity Index Name Index Change Index Percent Change Exchange Currency Total Market Capitalization Dividend Yield Price-to-Earnings Ratio (P/E) ‍

Q&A:

1. How much does the End-of-Day Pricing Data cost in Japan ?

The cost of this dataset may vary depending on factors such as the number of data fields, the frequency of updates, and the total records count. For precise pricing details, it is recommended to directly consult with a Techsalerator Data specialist.

1. How complete is the End-of-Day Pricing Data coverage in Japan?

Techsalerator provides comprehensive coverage of End-of-Day Pricing Data for various financial instruments, including equities, bonds, and indices. Thedataset encompasses major companies and securities traded on Japan exchanges.

1. How does Techsalerator collect this data?

Techsalerator collects End-of-Day Pricing Data from reliable sources, including stock exchanges, financial news outlets, and other market data providers. Data is carefully curated to ensure accuracy and reliability.

1. Can I select specific financial instruments or multiple countries with Techsalerator's End-of-Day Pricing Data?

Techsalerator offers the flexibility to select specific financial instruments, such as equities, bonds, or indices, depending on your needs. While the dataset focuses on Botswana, Techsalerator also provides data for other countries and international markets.

1. How do I pay for this dataset?

Techsalerator accepts various payment methods, including credit cards, direct transfers, ACH, and wire transfers, facilitating a convenient and secure payment process.

1. How do I receive...

Comprehensive dataset of 1 News services in Wakayama, Japan as of July, 2025. Includes verified contact information (email, phone), geocoded addresses, customer ratings, reviews, business categories, and operational details. Perfect for market research, lead generation, competitive analysis, and business intelligence. Download a complimentary sample to evaluate data quality and completeness.

Comprehensive dataset of 5 News services in Aichi, Japan as of July, 2025. Includes verified contact information (email, phone), geocoded addresses, customer ratings, reviews, business categories, and operational details. Perfect for market research, lead generation, competitive analysis, and business intelligence. Download a complimentary sample to evaluate data quality and completeness.

Post-Christmas, Asian markets rise as retail and tourism stocks thrive, with gains in Japan's Nikkei 225 and increased oil prices boosting the momentum.

The morning newspaper circulation in Japan amounted to about **** million copies in 2024, which was a decrease of about **** million copies compared to the previous year. Not included in this figure are morning edition newspapers that are sold together with evening edition newspapers as twice-daily publications.

Netflix was the leading subscription video-on-demand (SVOD) service in Japan in 2024. The service held a market share of **** percent during that year. The estimated value of the domestic SVOD market amounted to ***** billion Japanese yen in 2024, up from ***** billion yen in the previous year. According to the estimate, which was based on user fees paid to service operators and excluded advertising revenues, Netflix's market share slightly decreased compared to the previous year. Netflix in JapanNetflix entered the Japanese video-on-demand (VOD) market in September 2015, making it the first Asian market the company ventured into. According to news reports, Netflix expected Japan to be one of the slowest markets to penetrate due to the brand sensitivity of Japanese audiences. At the same time, this brand sensitivity was seen as a key to long-term payoffs once the service was embraced by Japanese consumers. In order to achieve this, the company secured long-term partnership deals with Japanese content creators throughout the years. Notably among them were several high-profile anime studios, whose products were also seen as a way to counter Disney. Other shows featuring domestic content include "The Naked Director," "Terrace House," and "Tidying Up with Marie Kondo." A lack of local content is considered to be one of the factors that hampered Hulu's initial uptake when it started its operations in Japan back in 2011. The Japanese video streaming marketVideo streaming has become an increasingly contested business in Japan as the market has shown strong growth figures in recent years. One major reason for this development can be found in the entry of several foreign services into the Japanese market, with Netflix and Amazon Prime Video both launching in 2015, DAZN following in 2016, and Disney joining the competition in early 2019. The share of people who use SVOD services has multiplied since the mid-2010s and the average time people spend on VOD consumption per weekday has also increased significantly since then.

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.

Nikkei 225 Forecast: Optimism Fuels Bullish Outlook for the Japanese Stock Market

Financial data:

• 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)

Machine learning features:

• 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)

Potential Applications:

• Stock price prediction

• Portfolio optimization

• Algorithmic trading

• Market sentiment analysis

• Risk management

Use Cases:

• 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

Additional Notes:

• 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

The circulation of twice-daily newspapers amounted to about **** million copies in 2024, which was a decrease of around ******* copies compared to the previous year. Separated from this figure are newspapers that are sold independently as either morning papers or evening papers.

The Japanese market for combine harvesters is expected to see a steady increase in demand over the next decade, with a projected CAGR of +1.9% in market volume and -0.6% in market value from 2024 to 2035. By the end of 2035, the market volume is expected to reach 1.7K units and the market value to reach $312M.

Comprehensive dataset of 6 News services in Saitama, Japan as of July, 2025. Includes verified contact information (email, phone), geocoded addresses, customer ratings, reviews, business categories, and operational details. Perfect for market research, lead generation, competitive analysis, and business intelligence. Download a complimentary sample to evaluate data quality and completeness.

Techsalerator’s News Event Data in Asia offers a detailed and expansive dataset designed to provide businesses, analysts, journalists, and researchers with comprehensive insights into significant news events across the Asian continent. This dataset captures and categorizes major events reported from a diverse range of news sources, including press releases, industry news sites, blogs, and PR platforms, offering valuable perspectives on regional developments, economic shifts, political changes, and cultural occurrences.

Key Features of the Dataset: Extensive Coverage:

The dataset aggregates news events from a wide range of sources such as company press releases, industry-specific news outlets, blogs, PR sites, and traditional media. This broad coverage ensures a diverse array of information from multiple reporting channels. Categorization of Events:

News events are categorized into various types including business and economic updates, political developments, technological advancements, legal and regulatory changes, and cultural events. This categorization helps users quickly find and analyze information relevant to their interests or sectors. Real-Time Updates:

The dataset is updated regularly to include the most current events, ensuring users have access to the latest news and can stay informed about recent developments as they happen. Geographic Segmentation:

Events are tagged with their respective countries and regions within Asia. This geographic segmentation allows users to filter and analyze news events based on specific locations, facilitating targeted research and analysis. Event Details:

Each event entry includes comprehensive details such as the date of occurrence, source of the news, a description of the event, and relevant keywords. This thorough detailing helps users understand the context and significance of each event. Historical Data:

The dataset includes historical news event data, enabling users to track trends and perform comparative analysis over time. This feature supports longitudinal studies and provides insights into the evolution of news events. Advanced Search and Filter Options:

Users can search and filter news events based on criteria such as date range, event type, location, and keywords. This functionality allows for precise and efficient retrieval of relevant information. Asian Countries and Territories Covered: Central Asia: Kazakhstan Kyrgyzstan Tajikistan Turkmenistan Uzbekistan East Asia: China Hong Kong (Special Administrative Region of China) Japan Mongolia North Korea South Korea Taiwan South Asia: Afghanistan Bangladesh Bhutan India Maldives Nepal Pakistan Sri Lanka Southeast Asia: Brunei Cambodia East Timor (Timor-Leste) Indonesia Laos Malaysia Myanmar (Burma) Philippines Singapore Thailand Vietnam Western Asia (Middle East): Armenia Azerbaijan Bahrain Cyprus Georgia Iraq Israel Jordan Kuwait Lebanon Oman Palestine Qatar Saudi Arabia Syria Turkey (partly in Europe, but often included in Asia contextually) United Arab Emirates Yemen Benefits of the Dataset: Strategic Insights: Businesses and analysts can use the dataset to gain insights into significant regional developments, economic conditions, and political changes, aiding in strategic decision-making and market analysis. Market and Industry Trends: The dataset provides valuable information on industry-specific trends and events, helping users understand market dynamics and identify emerging opportunities. Media and PR Monitoring: Journalists and PR professionals can track relevant news across Asia, enabling them to monitor media coverage, identify emerging stories, and manage public relations efforts effectively. Academic and Research Use: Researchers can utilize the dataset for longitudinal studies, trend analysis, and academic research on various topics related to Asian news and events. Techsalerator’s News Event Data in Asia is a crucial resource for accessing and analyzing significant news events across the continent. By offering detailed, categorized, and up-to-date information, it supports effective decision-making, research, and media monitoring across diverse sectors.

Newspaper Price in Japan - 2023. Find the latest marketing data on the IndexBox platform.

Comprehensive dataset of 2 News services in Niigata, Japan as of July, 2025. Includes verified contact information (email, phone), geocoded addresses, customer ratings, reviews, business categories, and operational details. Perfect for market research, lead generation, competitive analysis, and business intelligence. Download a complimentary sample to evaluate data quality and completeness.