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Market data

What is previous close?

The previous close is the price at which an asset finished its last trading session. It is one of the most widely used reference points in market data, because the day's change, the percentage move, and the opening gap are all measured against it. The sections below explain what the previous close is, how it is determined, why it matters for daily change, and how it behaves in markets that trade continuously.

5 min readMarket data
The previous close is the final traded price of an asset at the end of the prior trading session, used as the standard baseline for measuring the current session's change.

Key points

  • The previous close is the final traded price of the prior trading session.
  • It is the baseline for the day's change and the percentage move.
  • For markets with set hours it is the official closing price; for 24-hour markets it is set by a daily cutoff.
  • A large gap between the previous close and the next open reflects activity while the market was closed.

What the previous close is

The previous close is the last price recorded for an asset before its most recent session ended. For a market with defined trading hours, that is the official closing price of the prior day. Once the session closes the value is fixed as a reference, and it does not change during the next session even as the live price moves.

Why the previous close matters

Most measures of daily performance are calculated against the previous close. The day's change is the current price minus the previous close, and the percentage change expresses that difference relative to it. For this reason the previous close is the anchor for the gain or loss figure shown next to most quotes and for the reference line drawn on an intraday chart.

Closing price in 24-hour markets

Markets such as crypto and spot currencies trade continuously and have no natural close. For these, a previous close is defined by a daily cutoff time, for example the price at a fixed UTC hour. The cutoff is a convention rather than a market event, so different providers can report slightly different previous-close values for the same continuous market depending on the cutoff they use.

Gaps between close and open

While a market is closed, news and activity can still shift expectations, so the next session may open at a different price from the previous close. That difference is the opening gap. A large gap indicates significant movement while the market was closed, and it is measured precisely because the previous close provides a fixed point to compare the open against.

On SiftingIO

Previous close on SiftingIO

SiftingIO provides the data required to derive the previous close and the daily change across stocks, forex, crypto, and commodities under one schema. Historical OHLCV bars over REST supply each session's close, and the live feed over WebSocket supplies the current price, so the day's change can be computed consistently in every market. For continuously trading markets, documented conventions keep the values aligned.

FAQ

Common questions

What is the previous close?

It is the final traded price of an asset at the end of the prior trading session, used as the baseline for measuring the current session's change.

How is the day's change calculated?

The day's change is the current price minus the previous close, and the percentage change expresses that difference relative to the previous close.

What is the previous close for a 24-hour market?

Markets that trade continuously, such as crypto and spot currencies, have no natural close, so a previous close is defined by a daily cutoff time. Different cutoffs can produce slightly different values.

What is the difference between the previous close and the open?

The previous close is the last price of the prior session; the open is the first price of the current session. The difference between them is the opening gap.

Does SiftingIO provide previous close data?

SiftingIO provides historical OHLCV bars, which include each session's close, together with a live price feed, so the previous close and the daily change can be derived consistently across markets.

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