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).

Indonesia's main stock market index, the JCI, rose to 7312 points on July 18, 2025, gaining 0.34% from the previous session. Over the past month, the index has climbed 4.93% and is up 0.24% 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.

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.

Dataset

This dataset was created by Aufa Wibowo

Contents

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

Dataset

This dataset was created by Adhito

Contents

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 Stock Exchange: Index: IDX Main Board Index data was reported at 2,047.935 NA in Sep 2024. This records a decrease from the previous number of 2,094.560 NA for Aug 2024. Indonesia Stock Exchange: Index: IDX Main Board Index data is updated monthly, averaging 1,648.290 NA from Jun 2013 (Median) to Sep 2024, with 136 observations. The data reached an all-time high of 2,094.560 NA in Aug 2024 and a record low of 1,191.370 NA in Aug 2013. Indonesia Stock Exchange: Index: IDX Main Board Index data remains active status in CEIC and is reported by Exchange Data International Limited. The data is categorized under Global Database’s Indonesia – Table ID.EDI.SE: Indonesia Stock Exchange: Monthly.

IDX: Market Capitalization Shares: Annual data was reported at 7,023,496.769 IDR bn in 2018. This records a decrease from the previous number of 7,052,388.626 IDR bn for 2017. IDX: Market Capitalization Shares: Annual data is updated yearly, averaging 195,377.537 IDR bn from Dec 1977 (Median) to 2018, with 42 observations. The data reached an all-time high of 7,052,388.626 IDR bn in 2017 and a record low of 2.730 IDR bn in 1977. IDX: Market Capitalization Shares: Annual data remains active status in CEIC and is reported by CEIC Data. The data is categorized under Global Database’s Indonesia – Table ID.ZA003: Indonesia Stock Exchange (IDX): Market Capitalization.

About this dataset

Stock market has become of the wonderful place to make money. Many loss and many gains. Many have tried to predict the price of a stock but fails miserably. Those who say they're able to do so, are the one who hide their biggest losses. If stock price cannot be determined by price alone, then there might be other way to predict it, or say to invest it in the "better" way. Otherwise Warren Buffet wouldn't as rich as he is now by luck alone. But who says we cannot play around with it and create our standard of investing in stock?

How to use this dataset

EDA RNN to predict future price Trend identifier Classifier Stock Recommendation

Features

Other Information

You also could use dataset outside this one. This dataset present all public company data in Indonesia. Might be helpful to do certain task, e.g. classification for the industry, etc.

Acknowledgement

Yahoo Finance

Indonesia Stock Exchange: Index: Jakarta Islamic Index 70 data was reported at 162.186 NA in Apr 2025. This records an increase from the previous number of 148.104 NA for Mar 2025. Indonesia Stock Exchange: Index: Jakarta Islamic Index 70 data is updated monthly, averaging 196.160 NA from May 2018 (Median) to Apr 2025, with 84 observations. The data reached an all-time high of 242.530 NA in Jan 2019 and a record low of 148.104 NA in Mar 2025. Indonesia Stock Exchange: Index: Jakarta Islamic Index 70 data remains active status in CEIC and is reported by Exchange Data International Limited. The data is categorized under Global Database’s Indonesia – Table ID.EDI.SE: Indonesia Stock Exchange: Monthly.

The dataset provided data on political connections, Sharia, short-run and long-run abnormal returns surrounding the M&A announcement of Indonesia listed firms between 2010 and 2016.

Comprehensive dataset of 12 Stock exchange buildings in Jakarta, Indonesia as of July, 2025. Includes verified contact information (email, phone), geocoded addresses, customer ratings, reviews, business categories, and operational details. Perfect for market research, lead generation, competitive analysis, and business intelligence. Download a complimentary sample to evaluate data quality and completeness.

This dataset is about stocks. It has 3 rows and is filtered where the company is PT Solusi Bangun Indonesia Tbk. It features 8 columns including stock name, company, exchange, and exchange symbol.

Indonesia Stock Exchange: Index: IDX Sector Financials data was reported at 1,373.275 NA in Apr 2025. This records an increase from the previous number of 1,341.717 NA for Mar 2025. Indonesia Stock Exchange: Index: IDX Sector Financials data is updated monthly, averaging 1,426.681 NA from Mar 2021 (Median) to Apr 2025, with 50 observations. The data reached an all-time high of 1,635.540 NA in Apr 2022 and a record low of 1,289.518 NA in Feb 2025. Indonesia Stock Exchange: Index: IDX Sector Financials data remains active status in CEIC and is reported by Exchange Data International Limited. The data is categorized under Global Database’s Indonesia – Table ID.EDI.SE: Indonesia Stock Exchange: Monthly.

This dataset is about stocks. It has 3 rows and is filtered where the company is ACE Hardware Indonesia. It features 8 columns including stock name, company, exchange, and exchange symbol.

Top 10 Stock Markets and Indonesia Stock Market Index

Indonesia Stock Exchange: Index: SMinfra18 data was reported at 252.506 NA in 15 May 2025. This records an increase from the previous number of 247.993 NA for 14 May 2025. Indonesia Stock Exchange: Index: SMinfra18 data is updated daily, averaging 317.510 NA from Feb 2013 (Median) to 15 May 2025, with 2970 observations. The data reached an all-time high of 403.220 NA in 26 Jan 2018 and a record low of 168.740 NA in 24 Mar 2020. Indonesia Stock Exchange: Index: SMinfra18 data remains active status in CEIC and is reported by Exchange Data International Limited. The data is categorized under High Frequency Database’s Financial and Futures Market – Table ID.EDI.SE: Indonesia Stock Exchange.

Comprehensive dataset of 2 Stock exchange buildings in West Nusa Tenggara, Indonesia as of July, 2025. Includes verified contact information (email, phone), geocoded addresses, customer ratings, reviews, business categories, and operational details. Perfect for market research, lead generation, competitive analysis, and business intelligence. Download a complimentary sample to evaluate data quality and completeness.

Comprehensive dataset of 11 Stock exchange buildings in East Java, Indonesia as of July, 2025. Includes verified contact information (email, phone), geocoded addresses, customer ratings, reviews, business categories, and operational details. Perfect for market research, lead generation, competitive analysis, and business intelligence. Download a complimentary sample to evaluate data quality and completeness.