ta4500/xauusd

--- 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())