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MarketHolidays

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MarketHolidays

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MarketHolidays is a library that compiles market holidays and non-trading days for specific countries, enabling traders to account for market closures in their strategies and indicators.

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UNDERSTAND THE TOOL

How it works

The MarketHolidays library utilizes a custom Python script with the 'pandas_market_calendars' library to generate comprehensive arrays of market holidays. Users can retrieve holiday data for a specific country by using the getHolidays() function with a country code.

The function aggregates holiday timestamps from different time periods, creating a single array of non-trading days. These arrays can be integrated directly into TradingView indicators and strategies to automatically account for market closures and adjust trading logic accordingly

Why it may be useful

Market holidays are crucial for accurate trading strategy performance and risk management. By incorporating holiday data, traders can prevent false signals, avoid unexpected market closures, and optimize their trading algorithms.

The library helps prevent potential errors in backtesting and live trading by providing precise market closure information. Traders can customize their strategies to handle non-trading days more effectively, reducing the risk of unintended trade executions or missed opportunities during market holidays

When to explore it

This library is most beneficial for algorithmic traders, strategy developers, and quantitative analysts who require precise market timing. It is particularly useful for traders working with automated systems, backtesting strategies, or developing indicators that need to account for market closures.

International traders dealing with multiple market exchanges will find this library especially valuable. Traders can use it when developing strategies across different global markets, ensuring their algorithms accurately handle regional market holidays and trading schedules

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What we’ve verified

Access, alerts and repainting behaviour have not been independently verified for this indicator. Check the creator’s current publication and settings.

General descriptions and classifications are recovered research. Verified details above identify the specific checks we have completed. Check the creator’s current publication for later changes.