theonegareth/antam_historical_gold_prices

Unofficial Antam Gold Price History (IDR)

This repository provides an unofficial historical record of Antam gold selling prices in Indonesian Rupiah (IDR), compiled from publicly accessible information on the official Antam Logam Mulia website.

It is intended for research, analysis, and educational use cases such as time series analysis, forecasting experiments, and financial data tutorials.

Dataset Overview

Main file:

• antam_gold_prices.csv
  • date:
    • Timestamp of the quoted price in ISO format (e.g. YYYY-MM-DD HH:MM:SS).
    • Derived from the original Date field in the source.
  • price_idr_per_gram:
    • Antam gold selling price in IDR per gram.
    • Derived from the original Gold Price field.

Source fields (for context):

• Original data (prior to cleaning) included:
  • Time (ms): Unix timestamp in milliseconds from the chart API.
  • Gold Price: Selling price in IDR.
  • Date: Datetime string.
• In this dataset, we keep a clean, standardized version focusing on:
  • date
  • price_idr_per_gram

If you want to expose both raw and cleaned formats, you can add a separate raw file (e.g. raw_antam_gold_prices.csv) and describe it here similarly.

Example Usage

You can use this dataset directly as a CSV or via the Hugging Face Datasets library.

Replace YOUR_USERNAME/antam-gold-price-history-idr with your actual dataset repo path.

Using datasets:

from datasets import load_dataset

ds = load_dataset("YOUR_USERNAME/antam-gold-price-history-idr")
df = ds["train"].to_pandas()

print(df.head())

Using pandas directly with the CSV:

import pandas as pd

df = pd.read_csv("antam_gold_prices.csv", parse_dates=["date"])
print(df.head())

Included Notebook

• example_notebook.ipynb:
  • Demonstrates:
    • Loading and cleaning the data.
    • Exploratory data analysis (EDA).
    • Creating derived features:
      • daily_return_pct
      • ma_7 (7-day moving average)
      • ma_30 (30-day moving average)
      • vol_7d (7-day rolling volatility of daily returns)
    • A simple baseline next-day price model (for demonstration only).
  • Shows how this dataset can be integrated into typical data science and ML workflows.

Potential Use Cases

• Time series analysis:
  • Trend and regime changes in local gold prices.
  • Volatility and drawdown analysis.
• Forecasting experiments:
  • ARIMA / SARIMA
  • Prophet
  • Gradient boosting / tree-based models
  • Neural networks (LSTM/Transformer) for time series.
• Educational materials:
  • Feature engineering with financial time series.
  • Time-based train-test splits.
  • Model evaluation and overfitting discussions.
• Benchmarking:
  • Compare Antam local gold prices against:
    • International gold prices,
    • IDR exchange rates,
    • Inflation or macroeconomic indicators.

Data Preparation Notes

Key cleaning/transformation steps applied to build antam_gold_prices.csv:

• Parsed the Date column into a proper datetime format.
• Standardized column names to:
  • date
  • price_idr_per_gram
• Ensured price_idr_per_gram is numeric (IDR per gram).
• Sorted records chronologically.
• Removed rows with invalid or missing dates/prices.

If you modify or extend the dataset (e.g. adding more columns or derived features), document those changes here so users understand the schema.

Attribution and Source

• Underlying price information originates from publicly accessible pages on:
  • https://www.logammulia.com
  • Specifically: the "Grafik Emas Harian" (daily gold chart) and related public price views.
• This repository contains a cleaned, tabular representation created for analytical convenience.

Please always verify current prices directly from the official website.

Important Notes and Disclaimer

• This dataset is:
  • Unofficial.
  • For research, analysis, and educational purposes only.
• This project is:
  • Not affiliated with,
  • Not sponsored by, and
  • Not endorsed by
  • PT Aneka Tambang Tbk / Antam Logam Mulia or any related entity.
• All trademarks, logos, and brand names are the property of their respective owners.
• Users are responsible for ensuring their use of this dataset complies with:
  • The terms and conditions of the original data source,
  • Applicable laws and regulations,
  • Their own organizational policies.
• For authoritative, complete, and up-to-date information on Antam gold prices, always refer directly to:
  • https://www.logammulia.com

If you are a rights holder and have concerns or requests (e.g. corrections, restrictions, takedown), please open an issue on the repository or contact the maintainer, and we will respond promptly.