The Endless Trench (2019) | agoodmovietowatch
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The Endless Trench 2019

A cathartic meditation on isolation

Our Take (by The Staff)

This historical drama opens with one of the most thrilling chase scenes in recent memory, as Higinio Blanco, the man at the center of the story, escapes government forces during the Spanish Civil War.

He goes into hiding that, without him realizing, would last 33 years. He would only emerge in a government amnesty in 1969, as would many like him across Spain.

Themes of love (Higinio was confined with his newlywed wife), solitude and fear are at the center of a story that remains thrilling even when it goes through the isolation years.

Notable Critics

"Both sprawling in its narrative reach and sophisticated in its technical execution, it's the filmmakers' most ambitious collective effort to date, hinting at an aptitude for more grand-scale mainstream fare."

— Guy Lodge

Synopsis

A small village in Huelva, Andalusia, Spain, 1936. Higinio and Rosa have been married only for a few months when the Civil War breaks out. Higinio, being afraid of possible reprisals from the rebel faction, decides to use a hole dug in his own house as a temporary hideout.

Awards

European Film Awards

1 win

Won: European Hair & Makeup Artist

Goya Awards

2 wins, 13 nominations

Won: Best ActressWon: Best SoundNominated: Best ActorNominated: Best Art DirectionNominated: Best CinematographyNominated: Best Costume DesignNominated: Best DirectorNominated: Best EditingNominated: Best FilmNominated: Best Makeup and HairstylesNominated: Best New ActorNominated: Best Original MusicNominated: Best Original ScreenplayNominated: Best Production SupervisionNominated: Best Special Effects

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About the author

The Staff

The Staff is the editorial team at A Good Movie to Watch, contributing reviews, recommendations, and streaming guides across film and television. Based in Las Vegas, Nevada, we track over 100 streaming services in the US. Founded in 2014 by Bilal Zouheir, the team is built around human curation rather than algorithmic recommendations.