Dataset Viewer
datetime
stringlengths 19
19
| <open>
float64 1.05k
2.15k
| <high>
float64 1.05k
2.15k
| <low>
float64 1.05k
2.14k
| <close>
float64 1.05k
2.15k
| <tickvol>
int64 0
13.1k
|
|---|---|---|---|---|---|
2011-11-01 01:00:00
| 1,710.45
| 1,710.75
| 1,710
| 1,710.15
| 121
|
2011-11-01 01:01:00
| 1,710.75
| 1,711.5
| 1,710.45
| 1,711.45
| 141
|
2011-11-01 01:02:00
| 1,711.35
| 1,711.35
| 1,711
| 1,711.1
| 46
|
2011-11-01 01:03:00
| 1,711
| 1,711.65
| 1,711
| 1,711.5
| 81
|
2011-11-01 01:04:00
| 1,710.7
| 1,711.35
| 1,710.65
| 1,711.1
| 101
|
2011-11-01 01:05:00
| 1,710.85
| 1,711.25
| 1,710.8
| 1,711.25
| 51
|
2011-11-01 01:06:00
| 1,711.2
| 1,711.2
| 1,711.15
| 1,711.15
| 6
|
2011-11-01 01:07:00
| 1,710.8
| 1,711.35
| 1,710.8
| 1,711.05
| 86
|
2011-11-01 01:08:00
| 1,711.1
| 1,711.45
| 1,710.8
| 1,711.45
| 96
|
2011-11-01 01:09:00
| 1,711.35
| 1,711.45
| 1,710.8
| 1,711.1
| 106
|
2011-11-01 01:10:00
| 1,711.05
| 1,711.1
| 1,710.7
| 1,710.8
| 56
|
2011-11-01 01:11:00
| 1,710.6
| 1,710.65
| 1,710.1
| 1,710.4
| 91
|
2011-11-01 01:12:00
| 1,710.2
| 1,710.55
| 1,710.2
| 1,710.55
| 36
|
2011-11-01 01:13:00
| 1,710.35
| 1,711.1
| 1,710.3
| 1,710.65
| 131
|
2011-11-01 01:14:00
| 1,710.3
| 1,711.45
| 1,710.3
| 1,711.45
| 116
|
2011-11-01 01:15:00
| 1,711.05
| 1,711.55
| 1,711
| 1,711.55
| 61
|
2011-11-01 01:16:00
| 1,711.2
| 1,711.9
| 1,711.2
| 1,711.8
| 81
|
2011-11-01 01:17:00
| 1,711.75
| 1,711.95
| 1,711.1
| 1,711.95
| 151
|
2011-11-01 01:18:00
| 1,711.35
| 1,712.95
| 1,711.35
| 1,712.75
| 181
|
2011-11-01 01:19:00
| 1,712.8
| 1,713.6
| 1,712.1
| 1,713
| 281
|
2011-11-01 01:20:00
| 1,713.05
| 1,713.7
| 1,710.3
| 1,713.6
| 626
|
2011-11-01 01:21:00
| 1,713.75
| 1,714.1
| 1,713.45
| 1,714.05
| 101
|
2011-11-01 01:22:00
| 1,714.1
| 1,714.2
| 1,713.4
| 1,714
| 151
|
2011-11-01 01:23:00
| 1,713.5
| 1,714
| 1,713
| 1,713.95
| 156
|
2011-11-01 01:24:00
| 1,713.3
| 1,714
| 1,713.3
| 1,713.95
| 76
|
2011-11-01 01:25:00
| 1,713.7
| 1,713.7
| 1,711.4
| 1,711.95
| 286
|
2011-11-01 01:26:00
| 1,711.4
| 1,712.55
| 1,711.4
| 1,712.55
| 116
|
2011-11-01 01:27:00
| 1,712.4
| 1,712.4
| 1,711.25
| 1,711.9
| 181
|
2011-11-01 01:28:00
| 1,711.95
| 1,712.8
| 1,711.5
| 1,712.5
| 206
|
2011-11-01 01:29:00
| 1,712.7
| 1,712.7
| 1,711.85
| 1,712.4
| 141
|
2011-11-01 01:30:00
| 1,712.6
| 1,713.2
| 1,712.45
| 1,712.6
| 151
|
2011-11-01 01:31:00
| 1,712.5
| 1,713.6
| 1,712.25
| 1,712.25
| 246
|
2011-11-01 01:32:00
| 1,712.35
| 1,712.4
| 1,711.65
| 1,711.8
| 96
|
2011-11-01 01:33:00
| 1,711.75
| 1,711.85
| 1,711.55
| 1,711.55
| 41
|
2011-11-01 01:34:00
| 1,711.5
| 1,711.55
| 1,711.1
| 1,711.5
| 91
|
2011-11-01 01:35:00
| 1,711.45
| 1,711.45
| 1,711.3
| 1,711.35
| 21
|
2011-11-01 01:36:00
| 1,711.6
| 1,712
| 1,711.2
| 1,711.95
| 126
|
2011-11-01 01:37:00
| 1,712
| 1,712.4
| 1,712
| 1,712.4
| 41
|
2011-11-01 01:38:00
| 1,712.8
| 1,713
| 1,712.8
| 1,713
| 21
|
2011-11-01 01:39:00
| 1,712.95
| 1,712.95
| 1,712.4
| 1,712.85
| 101
|
2011-11-01 01:40:00
| 1,712.95
| 1,713.05
| 1,712.9
| 1,712.95
| 31
|
2011-11-01 01:41:00
| 1,713
| 1,713
| 1,712.55
| 1,712.55
| 46
|
2011-11-01 01:42:00
| 1,712.65
| 1,712.65
| 1,712.3
| 1,712.3
| 36
|
2011-11-01 01:43:00
| 1,712.2
| 1,712.5
| 1,712.15
| 1,712.2
| 71
|
2011-11-01 01:44:00
| 1,712.25
| 1,712.45
| 1,712.2
| 1,712.2
| 46
|
2011-11-01 01:45:00
| 1,712.45
| 1,712.45
| 1,712.2
| 1,712.25
| 31
|
2011-11-01 01:46:00
| 1,712.3
| 1,712.5
| 1,712.3
| 1,712.5
| 21
|
2011-11-01 01:47:00
| 1,712.45
| 1,712.75
| 1,712.45
| 1,712.6
| 46
|
2011-11-01 01:48:00
| 1,712.7
| 1,712.95
| 1,712.4
| 1,712.85
| 96
|
2011-11-01 01:49:00
| 1,712.75
| 1,713
| 1,712.5
| 1,712.8
| 96
|
2011-11-01 01:50:00
| 1,712.85
| 1,712.85
| 1,712.7
| 1,712.85
| 31
|
2011-11-01 01:51:00
| 1,712.9
| 1,713
| 1,712.35
| 1,712.35
| 76
|
2011-11-01 01:52:00
| 1,712.25
| 1,712.25
| 1,712.15
| 1,712.15
| 11
|
2011-11-01 01:53:00
| 1,712.2
| 1,712.25
| 1,712.2
| 1,712.25
| 6
|
2011-11-01 01:54:00
| 1,712.35
| 1,712.55
| 1,712.35
| 1,712.45
| 31
|
2011-11-01 01:55:00
| 1,712.4
| 1,712.7
| 1,712.4
| 1,712.7
| 31
|
2011-11-01 01:56:00
| 1,712.85
| 1,712.95
| 1,712.85
| 1,712.85
| 21
|
2011-11-01 01:57:00
| 1,712.9
| 1,713.7
| 1,712.9
| 1,713.7
| 81
|
2011-11-01 01:58:00
| 1,713.95
| 1,714.25
| 1,713.55
| 1,713.85
| 131
|
2011-11-01 01:59:00
| 1,713.9
| 1,714.75
| 1,713.9
| 1,714.15
| 146
|
2011-11-01 02:00:00
| 1,714.2
| 1,715.6
| 1,714.1
| 1,715
| 221
|
2011-11-01 02:01:00
| 1,714.95
| 1,715.9
| 1,714.8
| 1,715.45
| 171
|
2011-11-01 02:02:00
| 1,715.2
| 1,716.35
| 1,715.2
| 1,716.35
| 116
|
2011-11-01 02:03:00
| 1,716.4
| 1,717
| 1,715.8
| 1,716
| 201
|
2011-11-01 02:04:00
| 1,716.1
| 1,716.2
| 1,715.7
| 1,716.2
| 91
|
2011-11-01 02:05:00
| 1,716.1
| 1,716.1
| 1,714.8
| 1,715.15
| 166
|
2011-11-01 02:06:00
| 1,715.75
| 1,716.55
| 1,715.15
| 1,716.55
| 201
|
2011-11-01 02:07:00
| 1,716.75
| 1,716.95
| 1,715.7
| 1,715.95
| 171
|
2011-11-01 02:08:00
| 1,715.7
| 1,717.15
| 1,715.7
| 1,716.7
| 191
|
2011-11-01 02:09:00
| 1,717.05
| 1,717.45
| 1,716.6
| 1,716.95
| 161
|
2011-11-01 02:10:00
| 1,716.6
| 1,716.95
| 1,715.7
| 1,716.3
| 221
|
2011-11-01 02:11:00
| 1,716.35
| 1,716.35
| 1,715.15
| 1,715.35
| 141
|
2011-11-01 02:12:00
| 1,715.4
| 1,715.4
| 1,714.6
| 1,714.7
| 91
|
2011-11-01 02:13:00
| 1,714.65
| 1,714.65
| 1,714.2
| 1,714.2
| 46
|
2011-11-01 02:14:00
| 1,714.15
| 1,714.2
| 1,712.05
| 1,712.45
| 261
|
2011-11-01 02:15:00
| 1,712.5
| 1,712.95
| 1,711.85
| 1,712.95
| 176
|
2011-11-01 02:16:00
| 1,712.9
| 1,713
| 1,711.65
| 1,711.65
| 146
|
2011-11-01 02:17:00
| 1,712.1
| 1,713.7
| 1,711.8
| 1,712.15
| 376
|
2011-11-01 02:18:00
| 1,711.8
| 1,712.15
| 1,710.3
| 1,711.35
| 326
|
2011-11-01 02:19:00
| 1,711.45
| 1,711.5
| 1,710.9
| 1,711.15
| 91
|
2011-11-01 02:20:00
| 1,711
| 1,711.25
| 1,710.6
| 1,710.95
| 126
|
2011-11-01 02:21:00
| 1,711
| 1,712.55
| 1,710.6
| 1,711.95
| 296
|
2011-11-01 02:22:00
| 1,711.9
| 1,712.6
| 1,711.9
| 1,712.4
| 91
|
2011-11-01 02:23:00
| 1,712.35
| 1,713.15
| 1,712.35
| 1,713.15
| 81
|
2011-11-01 02:24:00
| 1,713.25
| 1,714.35
| 1,713.25
| 1,714.1
| 136
|
2011-11-01 02:25:00
| 1,714
| 1,714.75
| 1,714
| 1,714.7
| 81
|
2011-11-01 02:26:00
| 1,714.3
| 1,714.95
| 1,713.8
| 1,714.35
| 226
|
2011-11-01 02:27:00
| 1,713.8
| 1,714.6
| 1,713.7
| 1,714.1
| 151
|
2011-11-01 02:28:00
| 1,713.7
| 1,715.2
| 1,713.6
| 1,715.1
| 181
|
2011-11-01 02:29:00
| 1,714.5
| 1,715.45
| 1,714.2
| 1,715.35
| 166
|
2011-11-01 02:30:00
| 1,715.15
| 1,715.95
| 1,714.8
| 1,715.5
| 196
|
2011-11-01 02:31:00
| 1,715
| 1,715.15
| 1,714.3
| 1,714.7
| 141
|
2011-11-01 02:32:00
| 1,714.9
| 1,716
| 1,714.6
| 1,715.4
| 231
|
2011-11-01 02:33:00
| 1,715
| 1,715.4
| 1,714.75
| 1,714.95
| 126
|
2011-11-01 02:34:00
| 1,714.85
| 1,716.1
| 1,714.85
| 1,716.1
| 126
|
2011-11-01 02:35:00
| 1,715.8
| 1,716.75
| 1,715.8
| 1,716.35
| 136
|
2011-11-01 02:36:00
| 1,716.45
| 1,717.15
| 1,716.2
| 1,716.7
| 166
|
2011-11-01 02:37:00
| 1,717.05
| 1,717.3
| 1,716
| 1,717.25
| 241
|
2011-11-01 02:38:00
| 1,716.8
| 1,717.3
| 1,716.45
| 1,716.95
| 156
|
2011-11-01 02:39:00
| 1,717
| 1,717.15
| 1,715.8
| 1,716.4
| 211
|
End of preview. Expand
in Data Studio
Cleaned XAUUSD Dataset
Dataset Description
This dataset contains cleaned and preprocessed minute-level historical price data for the XAU/USD (Gold vs. US Dollar) pair. The data spans from November 1, 2011, to January 3, 2024, and includes the following columns:
open: The opening price of the minute.high: The highest price during the minute.low: The lowest price during the minute.close: The closing price of the minute.tickvol: The number of price changes (ticks) during the minute.
The dataset is cleaned, with missing values removed and unnecessary columns (e.g., VOLUME, SPREAD) dropped. The data is indexed by a datetime column, making it suitable for time-series analysis.
Dataset Structure
- Rows: Minute-level price data.
- Columns:
datetime: The timestamp for each minute (used as the index).open: Opening price.high: Highest price.low: Lowest price.close: Closing price.tickvol: Number of price changes (ticks).
Example Usage
Here’s how you can load and use the dataset in Python:
import pandas as pd
# Load the dataset from Hugging Face
file_path = "hf://datasets/Pcitycrypto/xauusd/XAUUSD_1m.csv"
df = pd.read_csv(file_path, parse_dates=['datetime'], index_col='datetime')
# Display the first few rows
print(df.head())
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