Indonesia's main stock market index, the JCI, rose to 7047 points on July 11, 2025, gaining 0.60% from the previous session. Over the past month, the index has declined 2.18% and is down 3.82% compared to the same time last year, according to trading on a contract for difference (CFD) that tracks this benchmark index from Indonesia. Indonesia Stock Market (JCI) - values, historical data, forecasts and news - updated on July of 2025.

Unlock data-backed intelligence on Indonesia Stock Market, size at USD 1.93 billion in 2023, showcasing industry trends and opportunities.

The ID-SMSA Dataset is a collection of stock market-related Indonesian tweets that were collected via X (formerly known as Twitter). The dataset contains tweets in the Indonesian language, each labeled with sentiment categories: positive, negative, or neutral. A team of annotators completes the annotations using annotation guidelines that a clinical psychology specialist has reviewed. To facilitate future studies in sentiment analysis and financial market studies, other variables are also incorporated, such as the tweet's date and user engagement metrics (Quote Count, Reply Count, Retweet Count, and Favorite Count).

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.

Indonesia to Become a Global EV Battery Hub with $9 Billion Investment

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

Indonesia E-commerce Market valued USD 75.1 billion in 2024 and is projected to surpass USD 230.5 billion through 2032

The Indonesian Communication Services Market Report is Segmented by Type (Fixed Voice, Fixed Data, Mobile Voice, and Other IT Services). The Market Sizes and Forecasts are Provided in Terms of Value (USD) for all the Above Segments.

Indonesia Capital Market: Stock Trading: Average Daily Trading Volume: Growth data was reported at 13.350 % in Feb 2025. This records an increase from the previous number of -10.150 % for Jan 2025. Indonesia Capital Market: Stock Trading: Average Daily Trading Volume: Growth data is updated monthly, averaging 4.532 % from Dec 2017 (Median) to Feb 2025, with 87 observations. The data reached an all-time high of 216.159 % in Jan 2021 and a record low of -57.303 % in Feb 2020. Indonesia Capital Market: Stock Trading: Average Daily Trading Volume: Growth data remains active status in CEIC and is reported by Bank Indonesia. The data is categorized under Indonesia Premium Database’s Monetary – Table ID.KAI020: Financial System Statistics: Capital Market Sector.

Indonesia ID: Export Market for Goods and Services: Volume data was reported at 306.078 USD bn in 2026. This records an increase from the previous number of 293.780 USD bn for 2025. Indonesia ID: Export Market for Goods and Services: Volume data is updated yearly, averaging 179.364 USD bn from Dec 1995 (Median) to 2026, with 32 observations. The data reached an all-time high of 306.078 USD bn in 2026 and a record low of 64.989 USD bn in 1995. Indonesia ID: Export Market for Goods and Services: Volume data remains active status in CEIC and is reported by Organisation for Economic Co-operation and Development. The data is categorized under Global Database’s Indonesia – Table ID.OECD.EO: Trade Statistics: Share in World Trade and Performance Indicators: Forecast: Non OECD Member: Annual. XMKT - Export market for goods and services, volume OECD calculation, see OECD Economic Outlook database documentation

Stock market return (%, year-on-year) in Indonesia was reported at 18.73 % in 2021, according to the World Bank collection of development indicators, compiled from officially recognized sources. Indonesia - Stock market return (%, year-on-year) - actual values, historical data, forecasts and projections were sourced from the World Bank on July of 2025.

The Indonesia Box Office Market size is valued at USD 320 million in 2023, driven by market opportunities, player analysis, and strategic insights. Explore market share, revenue, and forecast analysis.

The Indonesia Agriculture Market size is valued at USD 161 billion in 2023, driven by market opportunities, sector trends, and strategic insights. Explore market share, revenue, and segmentation analysis.

This dataset contains daily historical price data and broker summary data for LQ45-listed stocks on the Indonesia Stock Exchange (IDX), covering the period from October 2, 2023 to October 11, 2024.The dataset includes:Daily OHLCV (Open, High, Low, Close, Volume) data per stockBroker summary data, showing buy/sell activity and average prices by brokerData for all active tickers within the LQ45 index during the covered periodEach data point is stored in CSV and JSON format and organized by ticker and trading date, making it suitable for analysis, backtesting, or academic research.

Indonesia Rolling Stock Power Conversion System Market is expected to grow during 2024-2031

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.

Telekomunikasi Indonesia's Outlook: Analysts Bullish on Strong Growth for (TLK)

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

Indonesia Wooden Carvings, Pyrography and Marquetry Market is expected to grow during 2024-2030

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.

INDO Indonesia Energy Corporation Limited Ordinary Shares

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

Indonesia education market is projected to grow at a robust CAGR during the forecast period driven by the government efforts to improve education standards

The Indonesia Enterprise Network Infrastructure Market is projected to grow at a CAGR of 9.12% during the forecast period from 2025 to 2033. In 2025, the market was valued at USD 0.52 million and is expected to reach USD 1.12 million by 2033. The growth of the market is primarily driven by the increasing adoption of cloud-based services, the need for improved network security, and the rising penetration of mobile devices in enterprises. Key industry trends include the growing adoption of software-defined networking (SDN) and network function virtualization (NFV), the proliferation of internet of things (IoT) devices, and the increasing use of artificial intelligence (AI) and machine learning (ML) in network management. The market is also witnessing a shift towards managed services, as enterprises seek to outsource their network management and support functions to specialized providers. The market is dominated by global vendors such as Cisco Systems Inc, HPE Aruba Networking, VMware LLC, and Extreme Networks. However, local vendors are also emerging as significant players, such as A10 Networks, Nokia, and ZTE Corporation. Recent developments include: October 2023 - ZTE Corporation, a provider of information and communication technology solutions, partnered with PT iForte Solusi Infotek, an Indonesian telecommunications infrastructure and internet services provider. Together, they aim to drive telecom energy innovation and bolster Indonesia's network infrastructure for sustainable development., January 2024: Indonesia's Nusantara Capital Authority (OIKN) announced that Nusantara, the slated new capital, has been gearing up for its telecommunications infrastructure to go live by August 2024. This move aligns with the capital's planned relocation from Jakarta, which was scheduled to commence in early 2024.. Key drivers for this market are: Rising Demand for High-speed Network and Data Transfer, Growing Industrial Automation. Potential restraints include: Rising Demand for High-speed Network and Data Transfer, Growing Industrial Automation. Notable trends are: Routers and Switches to Exhibit a Significant Growth Rate.

Indonesia Fats and Oils Market is expected to grow during 2024-2030

Forecast emerging behaviors in the Indonesia POS market, size at USD 5 billion, featuring market share analysis, digital retail expansion, and competitive benchmarking for payment technology firms.