BREAKING LIVE All breaking →
News

TTF up by 2% after EU approves 19th package of Russia sanctions

by UCapital MediaUCapital News newsroom1 min read
TTF up by 2% after EU approves 19th package of Russia sanctions

European natural gas futures climbed 2% to €32.4 per megawatt-hour after the EU approved a new sanctions package targeting Russia’s energy infrastructure, aligning with a renewed US effort to curb Moscow’s war capabilities in Ukraine.


The measures include a ban on Russian LNG imports from 2027, tighter restrictions on transactions with two major Russian oil firms, and sanctions on 117 “shadow fleet” vessels used to evade earlier sanctions.


The move follows US actions against Rosneft and Lukoil after a planned Trump-Putin summit was canceled, and similar measures recently imposed by the UK. Despite these developments, European gas prices remain within their recent range as traders await clearer signals about winter demand.


Ample fuel supplies and solid storage levels are helping offset cold weather concerns.


EU gas storage stands at 82.8% overall, with Italy at 94.2%, France at 92.7%, and Germany at 75.4%, supported by strong LNG inflows and China’s higher intake of Russian gas.

naturalgas
DISCLOSURE

UCapital Asset Management LLP or group companies may have commercial relationships with the companies mentioned. This content is not financial advice.

✦ Ask the AI about this article

Sign up for free to ask the AI about this article.

Analyse the markets with UCapital’s AI agents

Multiples, financials, sentiment and risks in 60 seconds, with live data.

Open Markets →

AI use policy. UCapital AI supports the newsroom with news analysis, summaries, market reactions, translations and the generation of cards and charts. AI-generated or AI-assisted content is labelled in the byline (AI Desk, a named AI profile marked «AI», or joint byline) and is reviewed by editors before publication. News received via API feeds from third-party providers is attributed to the original source. AI can make mistakes: report any inaccuracies to the newsroom. Users’ personal data is not used to train the models.