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kshift/ahr999-dataset

AHR999 BTC Hoarding Index Dataset Open, daily-updated AHR999 BTC hoarding index dataset, self-computed from Binance BTCUSDT daily closes and published as CSV and JSON. This Hugging Face repository is a mirror. The canonical dataset endpoints are: Dashboard: https://ahr999.aix4u.com/ GitHub: https://github.com/RuochenLyu/ahr999-dataset CSV endpoint: https://ahr999.aix4u.com/datasets/ahr999.csv JSON endpoint: https://ahr999.aix4u.com/datasets/ahr999.json Kaggle discovery mirror:… See the full description on the dataset page: https://huggingface.co/datasets/kshift/ahr999-dataset.

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AHR999 BTC Hoarding Index Dataset

Open, daily-updated AHR999 BTC hoarding index dataset, self-computed from Binance BTCUSDT daily closes and published as CSV and JSON.

This Hugging Face repository is a mirror. The canonical dataset endpoints are:

  • —Dashboard: https://ahr999.aix4u.com/
  • —GitHub: https://github.com/RuochenLyu/ahr999-dataset
  • —CSV endpoint: https://ahr999.aix4u.com/datasets/ahr999.csv
  • —JSON endpoint: https://ahr999.aix4u.com/datasets/ahr999.json
  • —Kaggle discovery mirror: https://www.kaggle.com/datasets/kshift/ahr999-btc-hoarding-index-dataset
  • —Zenodo archival snapshot: https://doi.org/10.5281/zenodo.20412604

The canonical GitHub Actions pipeline refreshes the dataset daily after the UTC BTCUSDT close is available, then mirrors the latest CSV and JSON files here when mirror credentials are configured.

Files

  • —ahr999.csv: UTF-8 CSV with a header row.
  • —ahr999.json: JSON array ordered by UTC date ascending.
  • —DATA_LICENSE: CC BY 4.0 data license and attribution text.

Schema

Each row is one UTC daily close:

fieldtypenotes
datestringUTC date in YYYY-MM-DD.
closenumberBTCUSDT daily close from Binance public market data.
ma200number or null200-day simple moving average of close; null until enough history exists.
ahr999number or null(close / ma200) * (close / fitted); null when ma200 is null.
quantile5ynumber or nullEmpirical rank of ahr999 inside the active recent window.
windowKindstringinsufficient_samples, expanding, or rolling_5y.

Usage

python
from datasets import load_dataset

ds = load_dataset("kshift/ahr999-dataset", split="train")
print(ds[-1])
python
import pandas as pd

df = pd.read_csv("hf://datasets/kshift/ahr999-dataset/ahr999.csv")
latest = df.iloc[-1]
print(latest)

Attribution

Data files are licensed under CC BY 4.0. Cite:

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

This dataset is for research, education, and observability only. It is not financial advice. AHR999 is a heuristic indicator; past behavior does not predict future results.