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Filter:Trading Strategies

Category – Trading Strategies

Trading strategies are pre-defined approaches to buying and selling assets with the goal of generating profits. In trading, strategies can vary widely, including day trading, swing trading, scalping, and trend-following. Traders often base their strategies on technical analysis, fundamental analysis, or a combination of both. Successful trading strategies incorporate clear entry and exit rules, risk management techniques, and an understanding of market behavior. Continuous evaluation and adjustment of strategies are essential for adapting to changing market conditions.

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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.

DAY

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

HOUR

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

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.

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.

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 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 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 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.

WEEK

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

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