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Datasets:
smilegeng
/
ahr999-dataset

Tasks:
Time Series Forecasting
Modalities:
Tabular
Time-series
Languages:
English
Tags:
ahr999
bitcoin
btc
cryptocurrency
finance
time-series
License:
Dataset card Files
xet
 Community
Dataset Viewer
The dataset viewer is not available for this subset.
Cannot get the split names for the config 'default' of the dataset.
Exception:    SplitsNotFoundError
Message:      The split names could not be parsed from the dataset config.
Traceback:    Traceback (most recent call last):
                File "/usr/local/lib/python3.12/site-packages/datasets/inspect.py", line 286, in get_dataset_config_info
                  for split_generator in builder._split_generators(
                                         ^^^^^^^^^^^^^^^^^^^^^^^^^^
                File "/usr/local/lib/python3.12/site-packages/datasets/packaged_modules/tsfile/tsfile.py", line 271, in _split_generators
                  scan = self._scan_metadata(all_files)
                         ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
                File "/usr/local/lib/python3.12/site-packages/datasets/packaged_modules/tsfile/tsfile.py", line 304, in _scan_metadata
                  from tsfile.constants import TIME_COLUMN, ColumnCategory
              ModuleNotFoundError: No module named 'tsfile'
              
              The above exception was the direct cause of the following exception:
              
              Traceback (most recent call last):
                File "/src/services/worker/src/worker/job_runners/config/split_names.py", line 66, in compute_split_names_from_streaming_response
                  for split in get_dataset_split_names(
                               ^^^^^^^^^^^^^^^^^^^^^^^^
                File "/usr/local/lib/python3.12/site-packages/datasets/inspect.py", line 340, in get_dataset_split_names
                  info = get_dataset_config_info(
                         ^^^^^^^^^^^^^^^^^^^^^^^^
                File "/usr/local/lib/python3.12/site-packages/datasets/inspect.py", line 291, in get_dataset_config_info
                  raise SplitsNotFoundError("The split names could not be parsed from the dataset config.") from err
              datasets.inspect.SplitsNotFoundError: The split names could not be parsed from the dataset config.

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AHR999 BTC Hoarding Index converted to TsFile

This dataset is a TsFile conversion of kshift/ahr999-dataset. The source dataset is an open, daily-updated AHR999 BTC hoarding index dataset self-computed from Binance BTCUSDT daily closes and published as CSV and JSON.

The source repository is a mirror. The original dataset card lists these canonical endpoints:

Source License and Attribution

Data files are licensed under CC BY 4.0. When redistributing or building upon this dataset, cite:

ahr999-dataset contributors (2026). "ahr999-dataset - open BTC hoarding index computed from Binance BTCUSDT daily closes". https://github.com/RuochenLyu/ahr999-dataset

The underlying price data is sourced from the Binance public market API. The source dataset does not redistribute raw OHLCV data; it publishes daily close and derived AHR999 values.

This dataset is for research, education, and observability only. It is not financial advice.

Source Files

The TsFile was built from:

  • ahr999.csv

The source repository also provides ahr999.json, but it contains the same records in JSON form and is not separately converted.

TsFile Layout

  • TsFile: ahr999-dataset.tsfile
  • Table: ahr999_dataset
  • Time precision: ms
  • Tags: none
  • Fields: close, ma200, ahr999, quantile5y, windowKind
  • Row count: 3,218
  • Date range: 2017-08-17 to 2026-06-08

This is a single-series dataset. No TsFile tag columns are used. The asset is BTCUSDT and the source described by the original dataset is Binance public market data; those values are documented here instead of being repeated as constant tag columns.

Timestamp Handling

The source files do not contain wall-clock timestamps beyond a UTC date string in YYYY-MM-DD format. For TsFile conversion, date is parsed as UTC midnight and converted to epoch milliseconds:

Time = epoch_ms(date at 00:00:00 UTC)

The original date column is not retained as a TsFile field. It is used only to create the TsFile Time column, so the date information is represented by the timestamp itself. These timestamps represent UTC daily close dates, not intraday event times.

Null Handling

Null values are preserved. Early rows have null ma200, ahr999, and quantile5y because the rolling windows do not yet have enough historical samples:

  • ma200: first 199 rows are null
  • ahr999: first 199 rows are null
  • quantile5y: first 563 rows are null

No null values are filled, forward-filled, or dropped.

Row Ordering

Rows are ordered by Time ascending. The source CSV already uses ascending UTC date order and contains no duplicate dates.
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