date stringdate 2017-08-17 00:00:00 2026-05-30 00:00:00 | close float64 3.19k 125k | ma200 float64 4.44k 110k ⌀ | ahr999 float64 0.22 8.11 ⌀ | quantile5y float64 0 1 ⌀ | windowKind stringclasses 3
values |
|---|---|---|---|---|---|
2017-08-17 | 4,285.08 | null | null | null | insufficient_samples |
2017-08-18 | 4,108.37 | null | null | null | insufficient_samples |
2017-08-19 | 4,139.98 | null | null | null | insufficient_samples |
2017-08-20 | 4,086.29 | null | null | null | insufficient_samples |
2017-08-21 | 4,016 | null | null | null | insufficient_samples |
2017-08-22 | 4,040 | null | null | null | insufficient_samples |
2017-08-23 | 4,114.01 | null | null | null | insufficient_samples |
2017-08-24 | 4,316.01 | null | null | null | insufficient_samples |
2017-08-25 | 4,280.68 | null | null | null | insufficient_samples |
2017-08-26 | 4,337.44 | null | null | null | insufficient_samples |
2017-08-27 | 4,310.01 | null | null | null | insufficient_samples |
2017-08-28 | 4,386.69 | null | null | null | insufficient_samples |
2017-08-29 | 4,587.48 | null | null | null | insufficient_samples |
2017-08-30 | 4,555.14 | null | null | null | insufficient_samples |
2017-08-31 | 4,724.89 | null | null | null | insufficient_samples |
2017-09-01 | 4,834.91 | null | null | null | insufficient_samples |
2017-09-02 | 4,472.14 | null | null | null | insufficient_samples |
2017-09-03 | 4,509.08 | null | null | null | insufficient_samples |
2017-09-04 | 4,100.11 | null | null | null | insufficient_samples |
2017-09-05 | 4,366.47 | null | null | null | insufficient_samples |
2017-09-06 | 4,619.77 | null | null | null | insufficient_samples |
2017-09-07 | 4,691.61 | null | null | null | insufficient_samples |
2017-09-08 | 4,282.8 | null | null | null | insufficient_samples |
2017-09-09 | 4,258.81 | null | null | null | insufficient_samples |
2017-09-10 | 4,130.37 | null | null | null | insufficient_samples |
2017-09-11 | 4,208.47 | null | null | null | insufficient_samples |
2017-09-12 | 4,163.72 | null | null | null | insufficient_samples |
2017-09-13 | 3,944.69 | null | null | null | insufficient_samples |
2017-09-14 | 3,189.02 | null | null | null | insufficient_samples |
2017-09-15 | 3,700 | null | null | null | insufficient_samples |
2017-09-16 | 3,714.95 | null | null | null | insufficient_samples |
2017-09-17 | 3,699.99 | null | null | null | insufficient_samples |
2017-09-18 | 4,035.01 | null | null | null | insufficient_samples |
2017-09-19 | 3,910.04 | null | null | null | insufficient_samples |
2017-09-20 | 3,900 | null | null | null | insufficient_samples |
2017-09-21 | 3,609.99 | null | null | null | insufficient_samples |
2017-09-22 | 3,595.87 | null | null | null | insufficient_samples |
2017-09-23 | 3,780 | null | null | null | insufficient_samples |
2017-09-24 | 3,660.02 | null | null | null | insufficient_samples |
2017-09-25 | 3,920.75 | null | null | null | insufficient_samples |
2017-09-26 | 3,882.35 | null | null | null | insufficient_samples |
2017-09-27 | 4,193 | null | null | null | insufficient_samples |
2017-09-28 | 4,174.5 | null | null | null | insufficient_samples |
2017-09-29 | 4,174.69 | null | null | null | insufficient_samples |
2017-09-30 | 4,378.51 | null | null | null | insufficient_samples |
2017-10-01 | 4,378.48 | null | null | null | insufficient_samples |
2017-10-02 | 4,380 | null | null | null | insufficient_samples |
2017-10-03 | 4,310 | null | null | null | insufficient_samples |
2017-10-04 | 4,208.59 | null | null | null | insufficient_samples |
2017-10-05 | 4,292.43 | null | null | null | insufficient_samples |
2017-10-06 | 4,369 | null | null | null | insufficient_samples |
2017-10-07 | 4,423 | null | null | null | insufficient_samples |
2017-10-08 | 4,640 | null | null | null | insufficient_samples |
2017-10-09 | 4,786.95 | null | null | null | insufficient_samples |
2017-10-10 | 4,783.06 | null | null | null | insufficient_samples |
2017-10-11 | 4,821.43 | null | null | null | insufficient_samples |
2017-10-12 | 5,430 | null | null | null | insufficient_samples |
2017-10-13 | 5,649.98 | null | null | null | insufficient_samples |
2017-10-14 | 5,869.99 | null | null | null | insufficient_samples |
2017-10-15 | 5,709.99 | null | null | null | insufficient_samples |
2017-10-16 | 5,760.02 | null | null | null | insufficient_samples |
2017-10-17 | 5,595 | null | null | null | insufficient_samples |
2017-10-18 | 5,512.06 | null | null | null | insufficient_samples |
2017-10-19 | 5,683.9 | null | null | null | insufficient_samples |
2017-10-20 | 6,010.01 | null | null | null | insufficient_samples |
2017-10-21 | 6,024.97 | null | null | null | insufficient_samples |
2017-10-22 | 5,950.02 | null | null | null | insufficient_samples |
2017-10-23 | 5,915.93 | null | null | null | insufficient_samples |
2017-10-24 | 5,477.03 | null | null | null | insufficient_samples |
2017-10-25 | 5,689.99 | null | null | null | insufficient_samples |
2017-10-26 | 5,861.77 | null | null | null | insufficient_samples |
2017-10-27 | 5,768.83 | null | null | null | insufficient_samples |
2017-10-28 | 5,719.64 | null | null | null | insufficient_samples |
2017-10-29 | 6,169.98 | null | null | null | insufficient_samples |
2017-10-30 | 6,120.5 | null | null | null | insufficient_samples |
2017-10-31 | 6,463 | null | null | null | insufficient_samples |
2017-11-01 | 6,753.98 | null | null | null | insufficient_samples |
2017-11-02 | 7,019.98 | null | null | null | insufficient_samples |
2017-11-03 | 7,115.04 | null | null | null | insufficient_samples |
2017-11-04 | 7,357.09 | null | null | null | insufficient_samples |
2017-11-05 | 7,345.01 | null | null | null | insufficient_samples |
2017-11-06 | 6,960.12 | null | null | null | insufficient_samples |
2017-11-07 | 7,064.04 | null | null | null | insufficient_samples |
2017-11-08 | 7,303 | null | null | null | insufficient_samples |
2017-11-09 | 7,079.99 | null | null | null | insufficient_samples |
2017-11-10 | 6,506.98 | null | null | null | insufficient_samples |
2017-11-11 | 6,245.05 | null | null | null | insufficient_samples |
2017-11-12 | 5,811.03 | null | null | null | insufficient_samples |
2017-11-13 | 6,465.99 | null | null | null | insufficient_samples |
2017-11-14 | 6,574.99 | null | null | null | insufficient_samples |
2017-11-15 | 7,240.06 | null | null | null | insufficient_samples |
2017-11-16 | 7,864.5 | null | null | null | insufficient_samples |
2017-11-17 | 7,699.19 | null | null | null | insufficient_samples |
2017-11-18 | 7,761.94 | null | null | null | insufficient_samples |
2017-11-19 | 8,038 | null | null | null | insufficient_samples |
2017-11-20 | 8,212 | null | null | null | insufficient_samples |
2017-11-21 | 8,119.51 | null | null | null | insufficient_samples |
2017-11-22 | 8,205.92 | null | null | null | insufficient_samples |
2017-11-23 | 8,019.99 | null | null | null | insufficient_samples |
2017-11-24 | 8,138 | null | null | null | insufficient_samples |
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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:
| field | type | notes |
|---|---|---|
date |
string | UTC date in YYYY-MM-DD. |
close |
number | BTCUSDT daily close from Binance public market data. |
ma200 |
number or null | 200-day simple moving average of close; null until enough history exists. |
ahr999 |
number or null | (close / ma200) * (close / fitted); null when ma200 is null. |
quantile5y |
number or null | Empirical rank of ahr999 inside the active recent window. |
windowKind |
string | insufficient_samples, expanding, or rolling_5y. |
Usage
from datasets import load_dataset
ds = load_dataset("kshift/ahr999-dataset", split="train")
print(ds[-1])
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.
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