Hong Kong's main stock market index, the HK50, fell to 24859 points on August 8, 2025, losing 0.89% from the previous session. Over the past month, the index has climbed 4.05% and is up 45.46% compared to the same time last year, according to trading on a contract for difference (CFD) that tracks this benchmark index from Hong Kong. Hong Kong Stock Market Index (HK50) - values, historical data, forecasts and news - updated on August of 2025.

With LSEG's Hong Kong Stock Exchange Issuer Information feed Service (IIS), gain real-time trading news and announcements from HKEX listed companies.

Hong Kong Exchanges stock price, live market quote, shares value, historical data, intraday chart, earnings per share and news.

As of April 2025, the Hang Seng Index at the Hong Kong Exchange amounted to ********* points. After the outbreak of COVID-19, the index dropped as part of a broader Pan-Asian trend. However, by the end of 2020, when the pandemic situation stabilized in many countries and news about a vaccine rollout came out, the Hang Seng Index recovered and recorded significant increases every month. Index composition The Hang Seng Index is the most prominent indicator of stock performance on the Hong Kong Exchange. By including the 50 largest companies, the index represents the market movements of more than half of the bourse’s market capitalization. In addition to that, the Hang Seng Index has numerous smaller indices which mirror smaller industries or market sections. The Hang Seng Composite Index One example of a sub-index is the Hang Seng Composite Index. It reflects the performance of the top 95 percentile of the total market capitalization. The financial industry accounted for the largest share of companies included in the index, followed by the information technology sector. Prominent companies represented in the index are Tencent, AIA, and Meituan.

Prices for Hong Kong Stock Market Index (HK50) including live quotes, historical charts and news. Hong Kong Stock Market Index (HK50) was last updated by Trading Economics this August 8 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.

Hang Seng Index: The Future of Hong Kong?

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

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