Coverage, quality and methodology

Aluminium Price Data

Inspect the exact historical coverage behind AluminiumPrice.in and understand the prepared daily records and calculations without exposing private instrument metadata.

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Prepared historical fields

Daily Aluminium OHLC and Analytics

One canonical record is stored per trading session. Bulk raw-data downloads remain unavailable unless redistribution rights are explicitly confirmed.

dateopenhighlowclosevolumerolling returnsmoving averagesrealized volatilitydrawdownrangepercentile

Prices are an exchange-traded aluminium-futures reference in ₹ per kilogram. Volume is the quantity reported with the source candle and is not kilograms purchased through AluminiumPrice.in.

Actual stored intervals

Data Coverage and Quality

In-session coverage compares observed timestamps with the expected cadence between each session's first and last candle. It excludes gaps outside recorded trading sessions.

Stored historical candle coverage
IntervalObservationsSessionsEarliestLatestIn-session coverage
Recent sample

Latest Daily Aluminium Candles

The table shows up to 30 most recent daily candles from the prepared history described above.

Open interactive chart
Recent daily aluminium reference history (₹ per kg)
DateOpenHighLowCloseChangeVolume

How to Cite This Page

Suggested citation: “AluminiumPrice.in, India Aluminium Reference History, accessed [date], aluminiumprice.in/aluminium-price-data/.”

Include the access date because coverage expands as new market sessions are stored. Do not describe it as a physical dealer, scrap or guaranteed transaction price.

Data Quality Boundaries

  • Historical candles are preserved exactly by interval and deduplicated by timestamp.
  • Analytics use the nearest active exchange-traded aluminium-futures reference.
  • Expired contracts are not silently concatenated.
  • Unsupported periods and metrics remain unavailable.
  • India uses IST throughout; there is no daylight-saving adjustment.

Explore the calculations

Review returns, moving averages, realized volatility, drawdown, percentile and coverage alongside the available data.