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language:
- en
license:
- cc-by-4.0
task_categories:
- time-series-forecasting
- tabular-classification
tags:
- finance
- gold
- forex
- XAUUSD
- time-series
pretty_name: Cleaned XAUUSD Dataset
size_categories:
- 100K<n<1M
---
# 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:
```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()) |