---
dataset_info:
  features:
  - name: Date
    dtype: string
  - name: Open
    dtype: float64
  - name: High
    dtype: float64
  - name: Low
    dtype: float64
  - name: Close
    dtype: float64
  - name: Volume
    dtype: int64
  splits:
  - name: train
    num_bytes: 680495
    num_examples: 7680
  download_size: 680495
  dataset_size: 680495
tags:
  - finance
  - ihsg
  - indonesia
license: mit
---

# Daily IHSG index

Daily prices for the IHSG (Indeks Harga Saham Gabungan), the Indonesia Stock Exchange composite
index: open, high, low, close, volume. 7,692 rows covering 1995-01-02 through 2026-08-19,
refreshed daily. Source is Yahoo Finance, which takes the data from IDX.

- Source: [Yahoo Finance ^JKSE](https://finance.yahoo.com/quote/%5EJKSE/)
- Dataset: [huggingface.co/datasets/theonegareth/daily-IHSG](https://huggingface.co/datasets/theonegareth/daily-IHSG)
- Maintainer: Gareth Aurelius Harrison
- Licence: MIT

## Files

One file, `ihsg_daily.csv`:

| Column | Type | Meaning |
|---|---|---|
| `Date` | string | Trading date, `YYYY-MM-DD` |
| `Open` | float | Opening index level |
| `High` | float | Session high |
| `Low` | float | Session low |
| `Close` | float | Closing index level |
| `Volume` | integer | Shares traded across the index |

There is no adjusted-close column. An index level needs no dividend or split adjustment.

There are no splits. Split by date range yourself if you need train/validation/test.

## Loading

```python
import pandas as pd

df = pd.read_csv("ihsg_daily.csv", parse_dates=["Date"])
```

## Limitations

- `Volume` is 0 on 110 of the 7,692 rows, nearly all of them in the 1990s. Treat a zero as
  missing, not as a day with no trading.
- Weekends and Indonesian market holidays are absent, so the series has gaps.
- Coverage depends on Yahoo Finance's records. Yahoo revises history without notice, so a
  re-download can change old rows.
- Early-1990s levels come from a period of lower liquidity and thinner index membership. They are
  not comparable to recent levels without care.

The data is public market data. It contains nothing personal.

## Citation

```
@dataset{daily_ihsg,
  title={Daily IHSG Dataset},
  author={Gareth Aurelius Harrison},
  year={2024},
  url={https://huggingface.co/datasets/theonegareth/daily-IHSG}
}
```

Data from Yahoo Finance.