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Sessions

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Filter:Sessions

Category – Sessions

Sessions in trading refer to the specific periods during which financial markets are open for trading activity. In trading, session times vary by market, such as the New York session for U.S. stocks or the Tokyo session for forex. Traders adjust their strategies based on the active trading hours of different markets, as volatility and liquidity fluctuate. The overlap between major trading sessions, like London and New York, often sees increased activity, presenting more opportunities for traders.

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DATE + HOUR

Date + Hour represents the specific date and hour extracted from a DATETIME field, enabling analysis at a combined granular level. Formatted as YYYY-MM-DD HH:00.

TIMEZONE

Timezone represents the geographic region's standard time, influencing trading hours, market activity, and transaction timing. It provides context for understanding when trades occur relative to global markets.

YEAR

Year represents the specific year extracted from a DATETIME field, offering yearly granularity for analysis. Formatted as a 4-digit number, e.g., 2024.

WEEK

Week represents the specific week extracted from a DATETIME field, enabling weekly granularity for analysis. Formatted as a 2-digit number, 01–53.

NTH YEAR

Nth Year represents the number of years since the start of the dataset or period, allowing sequential year tracking. Formatted as an integer, e.g., 01.

NTH WEEK

Nth Week represents the number of weeks since the start of the dataset or period, offering sequential week tracking. Formatted as an integer, e.g., 01.

NTH MONTH

Nth Month represents the number of months since the start of the dataset or period, enabling sequential month tracking. Formatted as an integer, e.g., 01.

NTH HOUR

Nth Hour represents the number of hours since the start of the dataset or period, providing sequential hour tracking. Formatted as an integer, e.g., 01.

NTH DAY

Nth Day represents the number of days since the start of the dataset or period, offering sequential day tracking. Formatted as an integer, e.g., 01.

MONTH

Month represents the specific month extracted from a DATETIME field, allowing for monthly granularity in analysis. Formatted as a 2-digit number, 01–12.

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