Indonesia's main stock market index, the JCI, fell to 8147 points on October 8, 2025, losing 0.27% from the previous session. Over the past month, the index has climbed 6.79% and is up 8.61% 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 October of 2025.

Graph and download economic data for Volatility of Stock Price Index for Indonesia (DDSM01IDA066NWDB) from 1984 to 2021 about stocks, volatility, Indonesia, price index, indexes, and price.

Stock price volatility in Indonesia was reported at 21.77 in 2021, according to the World Bank collection of development indicators, compiled from officially recognized sources. Indonesia - Stock price volatility - actual values, historical data, forecasts and projections were sourced from the World Bank on October of 2025.

Context

This dataset contains historical data of stocks listed on IHSG with time ranges per minutes, hourly, and daily. The source of the dataset is taken from Yahoo Finance's public data and the IDX website which is listed in the metadata tab. This dataset was created with the intention of academic research purposes and not to be commercialized. If you have questions about the dataset, please ask in the discussion tab. Code snippet: https://github.com/muamkh/IHSGstockscraper

Content

Stock minutes data is taken from 1 November 2021 until 6 January 2023. Stock hourly data is taken from 16 April 2020 until 6 January 2023. Stock daily data is taken from 16 April 2001 until 6 January 2023. All of the data is using CSV format. Stock data isnt adjusted with dividend, stock split, and other corporate action.

Stocklist Structure

• Code = Stock code
• Name = Company name
• ListingDate = Listing date of stock on Indonesia Stock Exchange
• Shares = Amount of shares
• ListingBoard = Board category (Main Board, Development Board or Acceleration). More info: https://www.idx.co.id/en-us/products/stocks/
• Sector = Sector Category based on IDX-IC. More info: https://www.idx.co.id/en-us/products/stocks/
• LastPrice = Last stock price
• MarketCap = Market Capitalization.
• MinutesFirstAdded = Date the data first retrieved in minute range
• MinutesLastAdded = Date the data last retrieved in minute range
• HourlyFirstAdded = Date the data first retrieved in hourly range
• HourlyLastAdded = Date the data last retrieved in hourly range
• DailyFirstAdded = Date the data first retrieved in daily range
• DailyLastAdded = Date the data last retrieved in daily range

Struktur Data Saham

• timestamp = Date and time of stock transaction
• open = opening price
• low = lowest price in the timespan
• high = highest price in the timespan
• close = closing price
• volume = Total volume traded in the timespan

Prices for Jakarta Stock Exchange Composite Index including live quotes, historical charts and news. Jakarta Stock Exchange Composite Index was last updated by Trading Economics this October 5 of 2025.

Graph and download economic data for Capital Stock at Constant National Prices for Indonesia (RKNANPIDA666NRUG) from 1960 to 2019 about stocks, Indonesia, capital, and price.

Top 10 Stock Markets and Indonesia Stock Market Index

Dataset

This dataset was created by Aufa Wibowo

Contents

Graph and download economic data for Price Level of the Capital Stock for Indonesia (PLKCPPIDA670NRUG) from 1964 to 2019 about stocks, Indonesia, capital, and price.

Key information about Indonesia P/E ratio

• Indonesia IDX recorded a monthly P/E ratio of 12.040 on Mar 2025, compared with 12.590 from the previous month.
• Indonesia IDX P/E ratio is updated monthly, with historical data available from Jan 1992 to Feb 2025.
• The P/E ratio reached an all-time high of 32.530 in Apr 1995 and a record low of 2.740 in Feb 1999.
• Indonesia Stock Exchange provides monthly P/E Ratio. Indonesia Stock Exchange does not provide month end data; thus monthly average is used instead.

Stock Price Time Series for J Resources Asia Pasifik Tbk. PT J Resources Asia Pasifik Tbk engages in the gold mining business in Indonesia. It also provides general trading services. The company was formerly known as PT Pelita Sejahtera Abadi and changed its name to PT J Resources Asia Pasifik Tbk in January 2012. The company was founded in 2002 and is based in Jakarta Selatan, Indonesia.

Semen Indonesia stock price, live market quote, shares value, historical data, intraday chart, earnings per share and news.

Stock Price Time Series for Roda Vivatex Tbk. PT Roda Vivatex Tbk, through its subsidiaries, engages in the rental of office spaces in Indonesia. It also provides related maintenance services. PT Roda Vivatex Tbk was incorporated in 1980 and is headquartered in Jakarta Selatan, Indonesia.

Stock Price Time Series for Arita Prima Indonesia Tbk. PT Arita Prima Indonesia Tbk engages in the export and import trading of metal goods in Indonesia. It operates through Valve, Fitting, Instrument, and Others segments. The company offers CCTV, control valve, firefighting products, flexible hose and expansion joint, flowmeter, pressure and temperature measurement, fitting flange, thermoplastic, and water pump. It also engages in construction services; repair services and equipment installation; architectural and engineering services; water management; and manufactures and trades in valve and other products. The company was founded in 2000 and is headquartered in Jakarta Utara, Indonesia. PT Arita Prima Indonesia Tbk is a subsidiary of PT Arita Global.

Graph and download economic data for Share Prices: All Shares/Broad: Total for Indonesia (IDNSPASTT01GYM) from Jul 1998 to Aug 2025 about , and Indonesia.

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

Graph and download economic data for Share Prices: All Shares/Broad: Total for Indonesia (SPASTT01IDQ657N) from Q4 1997 to Q2 2025 about Indonesia and stock market.

Stock Price Time Series for Gunung Raja Paksi. PT Gunung Raja Paksi Tbk produces and sells steel and steel products. The company offers hot rolled coils, steel plates, and coil plates; ERW pipes, cold rolled coils, lipped channels, and welded beams; cut to shape, beam boxes, cell beams, honeycombs, UNP, L-angles, H-beams, wide flanges, T-beams, and plates; and equal angles, rectangular hollow section, square hollow section, unequal angles, expanded mesh, colf-formed angles, bridge decks, and rectangular pipes. It also exports its products. The company was formerly known as PT Gunung Naga Mas and changed its name to PT Gunung Raja Paksi Tbk in 1991. PT Gunung Raja Paksi Tbk was founded in 1970 and is headquartered in Bekasi, Indonesia.

Abstract Stock price fluctuations affect investor returns, particularly, in this pandemic situation that has triggered stock market shocks. As a result of this situation, investors prefer to move their money into a safer portfolio. Therefore, in this study, we approach an efficient portfolio model using smart beta and combining others to obtain a fast method to predict investment stock returns. Smart beta is a method to selects stocks that will enter a portfolio quickly and concisely by considering the level of return and risk that has been set according to the ability of investors. A smart beta portfolio is efficient because it tracks with an underlying index and is optimized using the same techniques that active portfolio managers utilize. Using the logistic regression method and the data of 100 low volatility stocks listed on the Indonesia stock exchange from 2009–2019, an efficient portfolio model was made. It can be concluded that an efficient portfolio is formed by a group of stocks that are aggressive and actively traded to produce optimal returns at a certain level of risk in the long-term period. And also, the portfolio selection model generated using the smart beta, beta, alpha, and stock variants is a simple and fast model in predicting the rate of return with an adjusted risk level so that investors can anticipate risks and minimize errors in stock selection.

Stock Price Time Series for Sentral Mitra Informatika Tbk PT. PT Sentral Mitra Informatika Tbk provides hardware, software, and IT services and solutions in Indonesia. It operates through two segments: Trading and Rentals. The company sells electronic items; and provides printer rental, click, and other services. It also engages in computer consulting; information security consulting; and computer facilities management activities, such as planning and designing a computer system that integrates computer hardware, software, and communication technology, as well as publishes software. In addition, the company engages in the wholesale of computers and computer equipment; telecommunication equipment, including telecommunications transmission equipment, telecommunications equipment, information technology, and multimedia equipment; and software, as well as provides publishing, graphic design and printing, magazine printing, tabloids, and documents; and computer assembly. Further, the company involved in the provision of software support and other information services activities; computers and office machines rentals; and manufactures flash drives, optical disk drives, keyboards, and others. Additionally, it provides printing support services, such as bookbinding; drawing and installation of images on printing machines; photocopying, document preparation and other special office supporting activities; and other management consulting and business support services. PT Sentral Mitra Informatika Tbk was founded in 2008 and is based in Jakarta Selatan, Indonesia.