| --- |
| license: cc-by-4.0 |
| task_categories: |
| - table-question-answering |
| - feature-extraction |
| - text-generation |
| - summarization |
| language: |
| - id |
| - en |
| tags: |
| - finance |
| - indonesia |
| - idx |
| - stock-market |
| - financial-statements |
| - excel-parsing |
| - fundamental-analysis |
| - accounting |
| --- |
| |
| # IDX_Financial_Statements_Excel |
| |
| This repository contains a comprehensive collection of financial statement data from public companies listed on the **Indonesia Stock Exchange (IDX)**. The data is structured to facilitate automated financial analysis, trend monitoring, and the training of machine learning models for the Indonesian capital market. |
| |
| ## Dataset Overview |
| |
| The dataset provides structured access to the primary components of corporate financial reporting: |
| - **Statement of Financial Position** (Neraca) |
| - **Statement of Comprehensive Income** (Laporan Laba Rugi) |
| - **Statement of Cash Flows** (Laporan Arus Kas) |
| - **Statement of Changes in Equity** (Laporan Perubahan Ekuitas) |
| |
| The data originates from Excel-based reporting submissions, which have been processed into a format suitable for computational use while maintaining the integrity of the original accounting figures. |
| |
| ## Key Features |
| |
| - **Standardized Labels**: Mapping of various Indonesian accounting terms to standardized fields for easier cross-company comparison. |
| - **Multi-Year Coverage**: Historical data allowing for time-series analysis of company performance. |
| - **Bilingual Context**: Includes both Indonesian (ID) and English (EN) financial terminology as per IDX reporting standards. |
| - **Ready for RAG**: Optimized for Financial RAG (Retrieval-Augmented Generation) where users can ask complex questions about a company's debt-to-equity ratio, revenue growth, or liquidity. |
| |
| ## Use Cases |
| |
| 1. **Automated Fundamental Analysis**: Calculate financial ratios (PER, PBV, ROE, DER) automatically across the entire IDX universe. |
| 2. **Financial Chatbots**: Power AI assistants that can answer specific questions like *"Berapa laba bersih PT Telkom pada tahun 2023?"* |
| 3. **Anomaly Detection**: Identify unusual accounting patterns or outliers in financial reporting. |
| 4. **Investment Research**: Data sourcing for quantitative investment strategies and equity research reports. |
| |
| ## Data Schema |
| |
| The dataset typically includes: |
| - `ticker`: The 4-letter company stock code (e.g., BBCA, TLKM). |
| - `period`: The reporting period (e.g., FY 2023, Q1 2024). |
| - `account_name`: The specific line item (e.g., Total Assets, Net Profit). |
| - `value`: The numerical amount recorded. |
| - `currency`: Usually IDR (Rupiah). |
|
|
| ## License |
|
|
| This dataset is licensed under the [Creative Commons Attribution 4.0 International (CC BY 4.0)](https://creativecommons.org/licenses/by/4.0/). You are free to share, copy, and adapt the data for commercial and non-commercial purposes, provided you give appropriate credit to the source. |
|
|
| ## Disclaimer |
|
|
| This dataset is intended for educational and research purposes. While efforts are made to ensure data accuracy, users should verify critical financial information against official disclosures on the [IDX Website](https://www.idx.co.id). |
|
|
| --- |
|
|
