Japan's main stock market index, the JP225, rose to 40839 points on July 30, 2025, gaining 0.40% from the previous session. Over the past month, the index has climbed 2.13% and is up 4.44% 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 July of 2025.

Graph and download economic data for Nikkei Stock Average, Nikkei 225 (NIKKEI225) from 1949-05-16 to 2025-07-29 about stocks, stock market, Japan, and indexes.

The Nikkei Stock Average (Nikkei 225) closed at ********* points in June 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).

The Nikkei 225 Index reached an all-time high of ********* on *************. This was the highest value since the index peaked at ********* 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).

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 July 31 of 2025.

In 2024, the Nikkei 225 index closed at ********* points. The index surpassed a 34-year-old record in February and reached a new all-time high in July 2024. 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.

Japan's main stock market index, the JP225, rose to 41139 points on July 31, 2025, gaining 1.19% from the previous session. Over the past month, the index has climbed 2.88% and is up 7.90% 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 July of 2025.

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

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

Japan Nikkei 225 Futures: Trading Val: Balance: Inst: Financial Inst data was reported at 268,850.955 JPY mn in 16 Jul 2018. This records a decrease from the previous number of 419,428.452 JPY mn for 09 Jul 2018. Japan Nikkei 225 Futures: Trading Val: Balance: Inst: Financial Inst data is updated weekly, averaging 348,976.978 JPY mn from Jan 2014 (Median) to 16 Jul 2018, with 237 observations. The data reached an all-time high of 3,928,552.800 JPY mn in 04 Jun 2018 and a record low of 71,503.450 JPY mn in 29 Dec 2014. Japan Nikkei 225 Futures: Trading Val: Balance: Inst: Financial Inst data remains active status in CEIC and is reported by Japan Exchange Group. The data is categorized under Global Database’s Japan – Table JP.Z033: Nikkei 225 Futures: Trading by Type of Investor.

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 July 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

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.

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

Japan OSE: Open Interest: Nikkei 225 Call Options data was reported at 866,047.000 Unit in Oct 2018. This records an increase from the previous number of 784,536.000 Unit for Sep 2018. Japan OSE: Open Interest: Nikkei 225 Call Options data is updated monthly, averaging 263,777.000 Unit from Jun 1989 (Median) to Oct 2018, with 353 observations. The data reached an all-time high of 2,475,659.000 Unit in May 2013 and a record low of 7,590.000 Unit in Jul 1989. Japan OSE: Open Interest: Nikkei 225 Call Options data remains active status in CEIC and is reported by Japan Exchange Group. The data is categorized under Global Database’s Japan – Table JP.Z016: Osaka Exchange Inc: Futures and Options.

At the end of the fiscal year 2024, ***************************************** were the leading type of domestic investors in stocks in Japan, with stock holdings of around ***** trillion Japanese yen. Stock holdings of financial institutions, including insurance companies, investment trusts, and pension trusts, amounted to ***** trillion yen. Tokyo Stock Exchange With a market capitalization of over *** trillion Japanese yen and around ***** constituents, the Tokyo Stock Exchange, operated by the Japan Exchange Group, is one of the largest stock exchanges in Asia and the world. In parallel to its reorganization in April 2022, a series of reforms were introduced to improve corporate governance of listed companies and make Japanese stocks more attractive to investors. Driven by global investors, the Nikkei 225 stock market index, Japan’s benchmark index, surpassed a 34 year-old record-high in February 2024. Private investors Stock holdings of individuals amounted to around ***** trillion yen in fiscal 2024. Japanese households hold a comparably large share of assets in cash and deposits. According to estimates, around ** percent of the population were stock owners and equity and investment trusts accounted for around ** percent of the financial assets of households. To boost private investment in stocks and bonds, an amended version of Japan’s tax-exempt investment scheme, Nippon Individual Savings Account (NISA), was launched in January 2024.

Nikkei 225 Futures: Trading Val: Balance: Fin Inst: City&Reg Banks data was reported at 162,601.526 JPY mn in 19 Nov 2018. This records a decrease from the previous number of 220,186.513 JPY mn for 12 Nov 2018. Nikkei 225 Futures: Trading Val: Balance: Fin Inst: City&Reg Banks data is updated weekly, averaging 126,637.910 JPY mn from Jan 2014 (Median) to 19 Nov 2018, with 255 observations. The data reached an all-time high of 435,836.873 JPY mn in 07 Nov 2016 and a record low of 2,210.850 JPY mn in 29 Dec 2014. Nikkei 225 Futures: Trading Val: Balance: Fin Inst: City&Reg Banks data remains active status in CEIC and is reported by Japan Exchange Group. The data is categorized under Global Database’s Japan – Table JP.Z033: Nikkei 225 Futures: Trading by Type of Investor.

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.

Japan Nikkei 225 Futures: Trading Val: Balance: Fin Inst: Trust Banks data was reported at 108,843.407 JPY mn in 19 Nov 2018. This records a decrease from the previous number of 182,066.232 JPY mn for 12 Nov 2018. Japan Nikkei 225 Futures: Trading Val: Balance: Fin Inst: Trust Banks data is updated weekly, averaging 202,803.816 JPY mn from Jan 2014 (Median) to 19 Nov 2018, with 255 observations. The data reached an all-time high of 3,527,600.522 JPY mn in 04 Jun 2018 and a record low of 40,048.003 JPY mn in 30 Apr 2018. Japan Nikkei 225 Futures: Trading Val: Balance: Fin Inst: Trust Banks data remains active status in CEIC and is reported by Japan Exchange Group. The data is categorized under Global Database’s Japan – Table JP.Z033: Nikkei 225 Futures: Trading by Type of Investor.

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

As of December 2024, the combined market capitalization of companies listed on the Tokyo Stock Exchange (TSE) in Japan amounted to ***** trillion Japanese yen, reaching a decade high. Tokyo Stock Exchange Hosting over *** thousand listed companies, the Tokyo Stock Exchange is the main stock exchange in Japan. It is operated by Japan Exchange Group, which was established in 2013 following the merger of Tokyo Stock Exchange Group and Osaka Securities Exchange. The company is one of the largest stock market operators in the world by market capitalization. Reorganization of market segments In April 2022, the TSE restructured its market segments. The stock exchange formerly consisted of four market divisions, which were reorganized into three; the Prime Market, where some of Japan’s largest corporations based on market capitalization are listed, the Standard Market, and the Growth Market for startups and emerging companies. The change was made to reduce ambiguity about the concept of each market division and create incentives for listed companies to increase their corporate value.