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Market Data4 min readUpdated Feb 2026

Performance, Range, and Volatility

Key takeaways

  • Performance shows percentage changes from daily closes (New York close).
  • The 52-week range puts current price in context of the broader cycle.
  • Past performance does not indicate future direction.

Timeframe performance

On each pair page, we show percentage changes across multiple timeframes: 1 day, 1 week, 1 month, 3 months, 6 months, year-to-date, and 1 year.

These are calculated from daily closing prices using the New York 5pm close as the session boundary. Each timeframe compares the current price to the closing price at the start of that period.

Performance numbers tell you what happened. They do not tell you what will happen next.

52-week range

The 52-week range shows the highest high and lowest low over the past 260 trading days. It puts the current price in context of the broader cycle.

We also show a position indicator: where the current price sits within that range as a percentage. A reading near 0% means price is near the 52-week low; near 100% means it is near the 52-week high.

Context, not forecast

Historical performance and range data provide context for understanding recent price behavior. They help you gauge:

  • Whether the pair has been trending or ranging
  • How current price compares to the recent cycle
  • Whether short-term and long-term momentum are aligned or diverging

None of this constitutes a forecast. Past performance does not indicate future direction.

How we calculate it

  • Percentage changes: (Current price - Period start price) / Period start price, expressed as a percentage.
  • 52-week high/low: The highest high and lowest low from daily candles over the past 260 trading days.
  • Position in range: (Current - Low) / (High - Low), expressed as a percentage.

All calculations use daily closing prices from our market data provider (FCS API), with the New York 5pm close as the session boundary.

Common considerations

  • Short timeframes (1D, 1W) can be noisy and influenced by single events.
  • Longer timeframes (6M, 1Y) smooth out noise but may miss recent shifts.
  • The 52-week range can be misleading if there was a one-time spike or crash.
  • Always consider the broader market environment when interpreting these numbers.

Live Performance

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Data for educational purposes. Not a recommendation.

Data source: FCS (indicative)

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