Descriptive Backtesting Framework (DBF)

How it works

The backtesting framework allows traders to insert custom indicators and define precise entry and exit conditions for trading strategies. Users can specify detailed parameters including trade signals, entry/exit prices, stops, and targets within a structured code environment.

The framework automatically executes trades based on defined conditions, calculates performance metrics, and provides real-time visualization of trading results. It supports both long and short trading directions, with flexible configuration options for spread, leverage, and exposure.

Why it may be useful

This framework provides traders with a comprehensive tool to rigorously test and evaluate trading strategies before risking real capital. By offering detailed performance metrics, visual trade representations, and live equity tracking, traders can gain deep insights into their strategy's potential strengths and weaknesses.

The framework's ability to replay strategy performance and display extensive performance data helps traders make more informed decisions about strategy viability, risk management, and potential improvements.

When to explore it

The backtesting framework is ideal for traders developing and refining new trading strategies across different market conditions and timeframes. It is particularly useful when seeking to validate trading hypotheses and understand potential strategy performance before live implementation.

Traders should use this framework when they want a robust, visual method of testing indicators, exploring trade signal combinations, and analyzing strategy performance metrics with high levels of transparency and detail.

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