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theonegareth
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daily-usd-idr

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finance
currency
usd-idr
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The dataset viewer is not available for this split.
Cannot load the dataset split (in streaming mode) to extract the first rows.
Error code:   StreamingRowsError
Exception:    CastError
Message:      Couldn't cast
Date: string
Open: double
High: double
Low: double
Close: double
Volume: int64
Dividends: double
Stock Splits: double
-- schema metadata --
pandas: '{"index_columns": [{"kind": "range", "name": null, "start": 0, "' + 1159
to
{'Date': Value('string'), 'Open': Value('float64'), 'High': Value('float64'), 'Low': Value('float64'), 'Close': Value('float64'), 'Volume': Value('int64')}
because column names don't match
Traceback:    Traceback (most recent call last):
                File "/src/services/worker/src/worker/utils.py", line 99, in get_rows_or_raise
                  return get_rows(
                         ^^^^^^^^^
                File "/src/libs/libcommon/src/libcommon/utils.py", line 272, in decorator
                  return func(*args, **kwargs)
                         ^^^^^^^^^^^^^^^^^^^^^
                File "/src/services/worker/src/worker/utils.py", line 77, in get_rows
                  rows_plus_one = list(itertools.islice(ds, rows_max_number + 1))
                                  ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
                File "/usr/local/lib/python3.12/site-packages/datasets/iterable_dataset.py", line 2431, in __iter__
                  for key, example in ex_iterable:
                                      ^^^^^^^^^^^
                File "/usr/local/lib/python3.12/site-packages/datasets/iterable_dataset.py", line 1952, in __iter__
                  for key, pa_table in self._iter_arrow():
                                       ^^^^^^^^^^^^^^^^^^
                File "/usr/local/lib/python3.12/site-packages/datasets/iterable_dataset.py", line 1984, in _iter_arrow
                  pa_table = cast_table_to_features(pa_table, self.features)
                             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
                File "/usr/local/lib/python3.12/site-packages/datasets/table.py", line 2192, in cast_table_to_features
                  raise CastError(
              datasets.table.CastError: Couldn't cast
              Date: string
              Open: double
              High: double
              Low: double
              Close: double
              Volume: int64
              Dividends: double
              Stock Splits: double
              -- schema metadata --
              pandas: '{"index_columns": [{"kind": "range", "name": null, "start": 0, "' + 1159
              to
              {'Date': Value('string'), 'Open': Value('float64'), 'High': Value('float64'), 'Low': Value('float64'), 'Close': Value('float64'), 'Volume': Value('int64')}
              because column names don't match

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Daily USD/IDR Dataset

Dataset Description

This dataset contains daily historical exchange rate data for USD/IDR (US Dollar to Indonesian Rupiah). It includes daily price information such as opening rate, high, low, and closing rate.

Dataset Summary

Supported Tasks and Leaderboards

This dataset is suitable for:

  • Time series analysis
  • Foreign exchange modeling
  • Economic forecasting
  • Data visualization and exploration

Languages

The dataset is in English, with data sourced from Yahoo Finance.

Dataset Structure

Data Instances

Each instance represents a single trading day with the following features:

  • Date: The trading date (YYYY-MM-DD format)
  • Open: Opening exchange rate
  • High: Highest rate during the trading day
  • Low: Lowest rate during the trading day
  • Close: Closing exchange rate

Data Fields

  • Date (string): Trading date
  • Open (float): Opening rate
  • High (float): Daily high rate
  • Low (float): Daily low rate
  • Close (float): Closing rate

Data Splits

This is a single-file dataset with no predefined splits. Users can split the data as needed for their analysis (e.g., train/validation/test based on date ranges).

Dataset Creation

Curation Rationale

This dataset was created to provide easy access to historical USD/IDR exchange rate data for research, education, and analysis purposes. It complements other financial datasets like IHSG.

Source Data

  • Initial Data Collection and Normalization: Data was collected from Yahoo Finance using their API or web interface.
  • Who are the source language producers?: Yahoo Finance aggregates data from financial markets.

Annotations

No additional annotations were made; the data is raw historical exchange rate data.

Personal and Sensitive Information

This dataset contains only publicly available financial market data with no personal or sensitive information.

Considerations for Using the Data

Social Impact of Dataset

This dataset can be used to study currency trends, develop trading strategies, or analyze economic indicators. Users should be aware that past performance does not guarantee future results, and financial decisions should not be made solely based on this data.

Discussion of Biases

The data reflects actual market trading and may include periods of high volatility.

Other Known Limitations

  • Data availability depends on Yahoo Finance's records
  • Weekends and holidays are excluded
  • Historical data may be adjusted

Additional Information

Dataset Curators

Gareth Aurelius Harrison

Licensing Information

MIT License

Citation Information

If you use this dataset, please cite:

@dataset{daily_usd_idr,
  title={Daily USD/IDR Dataset},
  author={Gareth Aurelius Harrison},
  year={2024},
  url={https://huggingface.co/datasets/theonegareth/daily-usd-idr}
}

Contributions

Thanks to Yahoo Finance for providing the data source.

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