Latest close versus seven sessions earlier.
Aluminium Price Analysis India
This aluminium price analysis uses stored daily futures-reference prices to calculate rolling returns, volatility, drawdowns, percentiles and daily ranges. It describes what the record did. It does not predict what the next price will do.
Latest close versus 30 sessions earlier.
Shown only after 90 prior closes exist.
Distance below the running peak.
Annualized realized variability of daily returns.
Historical, not expected future volatility.
Rank of the latest close within stored daily closes.
Largest peak-to-trough close decline in coverage.
Movement, Variability and Distribution
Every chart is calculated from stored daily candles. Missing windows remain unavailable instead of being extrapolated.
Drawdown History
Daily close divided by its previous running maximum, minus one. A drawdown measures distance from a prior peak.
Realized Volatility
Sample standard deviation of daily returns × √252. This is a backward-looking measure of movement.
Daily Return Distribution
Loading the distribution of daily percentage changes…
Aluminium Daily Change Calendar
Each square is one stored session. Patina marks a positive close-to-close change, while aluminium marks a negative change. Focus or hover for OHLC details.
Rolling Averages
- 7-session SMA
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- 30-session SMA
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- 90-session SMA
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Each is the arithmetic mean of the latest complete daily closes. These averages describe history. They are not signals.
Coverage Boundaries
This analysis currently covers loading daily sessions from loading to loading.
One-year ranges, seasonality and monthly-return heatmaps stay disabled until enough actual daily history exists.
Review data coverageAluminium Price Analysis Questions
What does aluminium price analysis measure?
The dashboard measures descriptive statistics from stored daily reference prices, including rolling returns, realized volatility, drawdown, percentile and moving averages.
What is realized volatility?
Realized volatility is the sample standard deviation of daily returns over a selected window, annualized with the square root of 252. It describes past movement.
Does this page predict the next aluminium price?
No. The dashboard describes recorded history. It does not forecast the next price or recommend a trade, purchase or sale.
How to Use the Statistics
Start with the coverage dates. A 7-session result answers a short-window question, while a 30-session or 90-session result needs enough stored closes before it becomes meaningful.
Pair the dashboard with the price chart and history table. For an independent historical series, compare the stated unit and instrument on Trading Economics.
Inspect the underlying data
Review coverage by interval, data quality and exact OHLC candles before interpreting a statistic.
