Graph and download economic data for Nikkei Stock Average, Nikkei 225 (NIKKEI225) from 1949-05-16 to 2025-07-22 about stocks, stock market, Japan, and indexes.

Key information about Japan Nikkei 225 Stock

• Japan Nikkei 225 Stock closed at 33,189.0 points in Jun 2023, compared with 30,887.9 points at the previous month end
• Japan Equity Market Index: Month End: Japan: Nikkei 225 Stock data is updated monthly, available from May 1949 to Jun 2023, with an average number of 9,363.1 points
• The data reached an all-time high of 38,915.9 points in Dec 1989 and a record low of 86.2 points in Jun 1950

CEIC calculates monthly Equity Market Index from daily Equity Market Index based on the last business day of the month. Nikkei provides Equity Market Index.


Further information about Japan Nikkei 225 Stock

• In the latest reports, Prime Market recorded a monthly P/E ratio of 20.0 in Jul 2023

Stock market return (%, year-on-year) in Japan was reported at 22.23 % in 2021, according to the World Bank collection of development indicators, compiled from officially recognized sources. Japan - Stock market return (%, year-on-year) - actual values, historical data, forecasts and projections were sourced from the World Bank on June of 2025.

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 Index Target Price Prediction

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

Key information about Japan Market Capitalization

• Japan Market Capitalization accounted for 6,358.159 USD bn in Feb 2025, compared with a percentage of 6,419.508 USD bn in the previous month
• Japan Market Capitalization is updated monthly, available from Jan 1957 to Feb 2025
• The data reached an all-time high of 6,919.601 USD bn in Sep 2021 and a record low of 4.473 USD bn in Aug 1957

CEIC converts monthly Market Capitalization into USD. Japan Exchange Group Inc. provides Market Capitalization in local currency. The Federal Reserve Board period end market exchange rate is used for currency conversions. Market Capitalization covers Tokyo Stock Exchange only, which is not the only equity market in the country but is highly representative. Before July 2013 Total Market Capitalization of TSE covers TSE 1st Section Shares, 2nd Section Shares and Mothers Shares. Since July 2013, Total Market Capitalization of TSE also covers Market Capitalization of Tokyo Pro Market Shares, JASDAQ Standard Shares and JASDAQ Growth Shares. On April 2022, the stock market was restructured into three new market segments (Prime Market, Standard Market, and Growth Market) replacing previous four market divisions: 1st Section, 2nd Section, Mothers, and JASDAQ (Standard and Growth).

In 2024, the stock trading value of the Tokyo Stock Exchange (TSE) in Japan amounted to ******* trillion Japanese yen, reaching a decade high. The combined market capitalization of companies listed on the Tokyo Stock Exchange reached ***** trillion yen in December 2024.

As of June 2025, the combined monthly market capitalization of companies listed on the Tokyo Stock Exchange (TSE) in Japan amounted to around ******* trillion Japanese yen. There were more than *** thousand companies listed on the TSE as of the end of 2024.

With LSEG's Tokyo Stock Exchange (TSE) Data, gain full access to benchmarks, indices, reference data, market depth data, and more.

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: Rising Tide or Ticking Time Bomb?

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

L'indice principal du marché boursier japonais, le JP225, a chuté à 38369 points le 20 juin 2025, perdant 0,31% par rapport à la séance précédente. Au cours du dernier mois, l'indice a progressé de 2,87%, bien qu'il soit encore inférieur de 0,59% par rapport à il y a un an, selon les échanges sur un contrat de différence (CFD) qui suit cet indice de référence du Japon. Les valeurs actuelles, des données historiques, des prévisions, des statistiques, des tableaux et le calendrier économique - Japon - Bourse des Valeurs.

Japan Index: NSE: Stock Price Index: 2nd Section Composite data was reported at 3,638.890 04Jan1968=100 in Oct 2018. This records an increase from the previous number of 3,634.600 04Jan1968=100 for Sep 2018. Japan Index: NSE: Stock Price Index: 2nd Section Composite data is updated monthly, averaging 1,350.530 04Jan1968=100 from Feb 1999 (Median) to Oct 2018, with 237 observations. The data reached an all-time high of 3,655.090 04Jan1968=100 in Jul 2018 and a record low of 871.670 04Jan1968=100 in Nov 2002. Japan Index: NSE: Stock Price Index: 2nd Section Composite data remains active status in CEIC and is reported by Nagoya Stock Exchange. The data is categorized under Global Database’s Japan – Table JP.Z002: All Stock Exchange: Market Indices.

Predictions indicate a sustained upward trend for the Nikkei 225 index. Positive global economic conditions, strong corporate earnings, and government stimulus measures are expected to support growth. However, potential risks include geopolitical tensions, interest rate hikes, and supply chain disruptions, which could lead to volatility and a slowdown in growth.

Japans wichtigster Aktienmarktindex, der JP225, fiel am 22. Juli 2025 auf 39775 Punkte und verlor 0,11% gegenüber der vorherigen Sitzung. Im Laufe des letzten Monats ist der Index um 3,70% gestiegen und im Vergleich zum Vorjahr um 0,46% gestiegen, basierend auf dem Handel eines Differenzkontrakts (CFD), der diesen Benchmark-Index aus Japan verfolgt. Diese Werte, historische Daten, Prognosen, Statistiken, Diagramme und ökonomische Kalender - Japan - Börse.

Japan Index: Nagoya Stock Exchange (NSE): Option 25 Index: Price data was reported at 1,104.130 04Jan1988=1000 in Nov 2018. This records a decrease from the previous number of 1,107.090 04Jan1988=1000 for Oct 2018. Japan Index: Nagoya Stock Exchange (NSE): Option 25 Index: Price data is updated monthly, averaging 876.945 04Jan1988=1000 from Jun 1992 (Median) to Nov 2018, with 318 observations. The data reached an all-time high of 1,519.300 04Jan1988=1000 in Jun 2007 and a record low of 577.620 04Jan1988=1000 in May 2012. Japan Index: Nagoya Stock Exchange (NSE): Option 25 Index: Price data remains active status in CEIC and is reported by Nagoya Stock Exchange. The data is categorized under Global Database’s Japan – Table JP.Z002: All Stock Exchange: Market Indices. Data prior to January 1999 was taken from daily conversion.

Stock market capitalization to GDP (%) in Japan was reported at 133 % in 2020, according to the World Bank collection of development indicators, compiled from officially recognized sources. Japan - Stock market capitalization to GDP - actual values, historical data, forecasts and projections were sourced from the World Bank on July of 2025.

Market capitalization of listed domestic companies (current US$) in Japan was reported at 6310681430000 USD in 2024, according to the World Bank collection of development indicators, compiled from officially recognized sources. Japan - Market capitalization of listed companies - actual values, historical data, forecasts and projections were sourced from the World Bank on July of 2025.

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.

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.

Will the Nikkei 225 Index Recover?

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

Index: TSE: 1st Section: MA: Real Estate data was reported at 1,520.779 04Jan1968=100 in Jun 2018. This records a decrease from the previous number of 1,559.857 04Jan1968=100 for May 2018. Index: TSE: 1st Section: MA: Real Estate data is updated monthly, averaging 925.960 04Jan1968=100 from Dec 1987 (Median) to Jun 2018, with 367 observations. The data reached an all-time high of 2,363.700 04Jan1968=100 in Dec 1989 and a record low of 402.363 04Jan1968=100 in Apr 2003. Index: TSE: 1st Section: MA: Real Estate data remains active status in CEIC and is reported by Japan Exchange Group. The data is categorized under Global Database’s Japan – Table JP.Z002: All Stock Exchange: Market Indices.

The Asia-Pacific capital market exchange ecosystem is experiencing robust growth, driven by increasing financialization in the region's rapidly developing economies. A compound annual growth rate (CAGR) exceeding 7% from 2019 to 2024 suggests a significant market expansion, projected to continue into the forecast period (2025-2033). Key drivers include rising domestic savings, increasing foreign direct investment (FDI), and the proliferation of retail and institutional investors. The expansion of digital financial services and fintech innovations further fuels this growth, facilitating easier access to markets and investment products. While market segments vary significantly across the region, the dominance of equity and debt markets is evident, reflecting the developmental stage of many economies. The presence of major stock exchanges like the Shanghai, Tokyo, and Hong Kong exchanges underscores the region's importance in the global financial landscape. However, regulatory hurdles, geopolitical uncertainties, and potential macroeconomic shifts pose some restraints to sustained growth. The study focuses on key markets within the Asia-Pacific region, including China, Japan, South Korea, India, Australia, and others, providing a detailed picture of market dynamics and future potential within each specific nation. Furthermore, the growing participation of institutional investors, alongside a rising retail investor base, points to a mature and deepening market. This expanding market presents significant opportunities for both domestic and international players. However, navigating the diverse regulatory environments and understanding the unique characteristics of each national market is crucial for success. Future growth will likely be shaped by government policies promoting financial inclusion, technological advancements enhancing market efficiency, and the overall macroeconomic stability of the region. The continued development and deepening of these capital markets will play a critical role in driving economic growth and development across the Asia-Pacific region for the foreseeable future, attracting further foreign investment and fostering greater financial integration within the area. Please note: I cannot create hyperlinks. I also cannot provide financial data (market size, growth rates, etc.) as this requires specialized market research. The following report description provides a framework; you would need to fill in the financial data from your research. Recent developments include: July 2022: The eligible companies listed on Beijing Stock Exchange were allowed to apply for transfer to the Star Market of the Shanghai Stock Exchange. A transfer system is a positive approach for bridge-building efforts between China's multiple layers of the capital market., February 2022: The China Securities Regulatory Commission (CSRC) approved the merger of Shenzhen Stock Exchange's main board with the SME board. The merger will optimize the trading structure of the Shenzhen Stock Exchange.. Notable trends are: Increasing Foreign Direct Investment in Various Developing Economies in Asia-Pacific.