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Time

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Category – Time

Time in trading refers to the timing of entering and exiting positions in the market, which plays a critical role in profitability. In trading, time is crucial because market conditions can change rapidly, and perfect timing can lead to better entry points and higher returns. Traders use technical indicators, market trends, and economic events to make decisions on the best time to execute trades. Time-based strategies like day trading or swing trading require discipline and analysis to optimize market opportunities and manage risk effectively.

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.

HOUR

Hour represents the specific hour extracted from a DATETIME field, enabling hourly granularity for analysis. Formatted as a 2-digit number, 00–23.

DAY

Day represents the specific day extracted from a DATETIME field, providing daily granularity for analysis. Formatted as a 2-digit number, 01–31.

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.