metadata

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:

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())