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Trading Strategies

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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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ACCOUNT STOP RISK PERCENTAGE

Account Stop Risk Percentage is a predefined percentage at the account level that caps or defaults the allowable percentage of account capital at risk per trade, ensuring disciplined risk management.

MARGIN REQUIREMENT VALUE

Margin Requirement Value represents the specific monetary amount required as collateral for a trade. It ensures sufficient funds are allocated to support leveraged or margin-based positions.

MARGIN REQUIREMENT PERCENTAGE

Margin Requirement Percentage is the percentage of a trade’s value that must be maintained as collateral. It ensures sufficient funds are allocated to support leveraged or margin-based positions.

DATETIME

Datetime represents a combined date and time value in the ISO 8601 format (YYYY-MM-DD HH:MM:SS ±HH:MM), ensuring precise temporal tracking with timezone support.

ID

ID uniquely identifies each individual trade, entry or exit, ensuring no two transactions or trades share the same identifier, facilitating precise tracking and analysis.

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.

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