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Backtesting

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Filter:Backtesting

Category – Backtesting

Backtesting is a process that involves testing a trading strategy using historical data to evaluate its potential effectiveness. By simulating trades based on past market conditions, traders can assess how a strategy would have performed, refine it, and mitigate risk before applying it in real-time markets. Backtesting helps traders identify optimal parameters for their strategies, improve profitability, and better understand potential outcomes. It is an essential step in strategy development and risk management.

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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.

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 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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