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Datasets:
Pcitycrypto
/
xauusd

Tasks:
Time Series Forecasting
Tabular Classification
Modalities:
Tabular
Text
Formats:
csv
Languages:
English
Size:
1M - 10M
Tags:
finance
gold
forex
XAUUSD
time-series
Libraries:
Datasets
pandas
License:
Dataset card Viewer Files Community
1
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datetime
stringlengths
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<open>
float64
1.05k
2.15k
<high>
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<low>
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<close>
float64
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2.15k
<tickvol>
int64
0
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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())
Downloads last month
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Size of downloaded dataset files:
230 MB
Size of the auto-converted Parquet files:
95.1 MB
Number of rows:
4,207,608