Crypto Prices Remain Flat While Asia Secures Natural Gas Supplies

TheNewsCryptoОпубліковано о 2026-03-11Востаннє оновлено о 2026-03-11

Анотація

Cryptocurrency prices remained largely flat over the past 24 hours, with Bitcoin trading around $69,967 and Ethereum near $2,033. Most major cryptocurrencies saw minor declines, while TRX and DOGE posted slight gains. The overall market cap dipped 0.15%, and the Fear and Greed Index fell to 25. Meanwhile, Asia secured new liquefied natural gas supplies from LNG Canada, with shipments already sent to Japan, South Korea, and the Philippines. This development helps mitigate supply risks linked to Middle East tensions, which had raised concerns about a potential global recession and its impact on crypto markets. Major U.S. stock indexes closed mixed, with the Nasdaq slightly up while the Dow and S&P 500 declined. Oil prices also attempted to pull back. Crypto markets continue to await a potential rally once geopolitical pressures ease.

Crypto prices have moved flat over the last 24 hours. Meanwhile, the Asian region has found a new supply for natural gas amid the threats from the Iran conflict. Major US stock indexes closed mixed, given that only Nasdaq noted an upper hand while others closed down.

Flatness in Crypto Prices

Crypto prices seem as if they barely moved over the last 24 hours. For instance, BTC price is still between $69k and $70k, except it has marginally slipped by 0.23% to $69,967.48. ETH has also shed 0.62% of its value and is now trading at $2,033.62. This is in line with earlier trends wherein it’s been moving between $1.9k and $2.1k.

TRX price stands out among the top tokens with a 0.27% gain. So does DOGE with an uptick of 0.44%. Every other cryptocurrency in the list of top 10 tokens is down. The broader picture shows all of them moving within a narrow range.

Overall, the market cap has declined by 0.15%, and the FGI has shifted to 25 points.

Natural Gas Supply for Asia

Asia, known to be more vulnerable to the ongoing supply disruption, has possibly found a new source. LNG Canada has committed to boosting production and exports this month, which is March 2026. The Shell-led venture has already exported five cargoes as of March 11, 2026. Its next shipment is scheduled to depart tentatively on Thursday.

Countries to have received cargoes to this point are Japan, South Korea, and the Philippines. This is imperative because experts earlier flagged the possibility for a global recession if the Middle East conflict was prolonged. This was then expected to impact the crypto market and prices of cryptocurrencies as most of the top crypto-adoption countries on the list are Asian.

Notably, the chances for the US alone to record a recession were 34.9% and 39%, according to Kalshi and Polymarket, respectively. These numbers are subject to frequent revision.

Update on Major US Stock Indexes

Three major US stock indexes have reacted to the situation differently. Nasdaq closed higher by 0.01% while Dow and S&P 500 declined by 0.07% and 0.21%, applicable in the same order.

Oil prices are attempting to decline. Crypto prices continue to extend speculation for a significant jump when global markets get relief from the geopolitical situation.

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Пов'язані питання

QHow have major cryptocurrencies like BTC and ETH performed in the last 24 hours?

ABTC marginally slipped by 0.23% to $69,967.48, while ETH shed 0.62% of its value and is trading at $2,033.62. Both have been moving within narrow ranges.

QWhat new natural gas supply development has occurred in Asia?

ALNG Canada, a Shell-led venture, has committed to boosting production and exports, with five cargoes already exported as of March 11, 2026. Countries like Japan, South Korea, and the Philippines have received these shipments.

QHow did the major US stock indexes perform in response to the current situation?

ANasdaq closed higher by 0.01%, while the Dow declined by 0.07% and the S&P 500 fell by 0.21%.

QWhy is the new natural gas supply important for Asia and the global economy?

AAsia is vulnerable to supply disruptions, and experts had flagged the possibility of a global recession if the Middle East conflict prolonged. This could impact crypto markets since many top crypto-adoption countries are in Asia.

QWhat is the current state of the overall crypto market sentiment according to the Fear and Greed Index?

AThe Fear and Greed Index has shifted to 25 points, indicating extreme fear, and the overall market cap has declined by 0.15%.

Пов'язані матеріали

Google and Amazon Simultaneously Invest Heavily in a Competitor: The Most Absurd Business Logic of the AI Era Is Becoming Reality

In a span of four days, Amazon announced an additional $25 billion investment, and Google pledged up to $40 billion—both direct competitors pouring over $65 billion into the same AI startup, Anthropic. Rather than a typical venture capital move, this signals the latest escalation in the cloud wars. The core of the deal is not equity but compute pre-orders: Anthropic must spend the majority of these funds on AWS and Google Cloud services and chips, effectively locking in massive future compute consumption. This reflects a shift in cloud market dynamics—enterprises now choose cloud providers based on which hosts the best AI models, not just price or stability. With OpenAI deeply tied to Microsoft, Anthropic’s Claude has become the only viable strategic asset for Google and Amazon to remain competitive. Anthropic’s annualized revenue has surged to $30 billion, and it is expanding into verticals like biotech, positioning itself as a cross-industry AI infrastructure layer. However, this funding comes with constraints: Anthropic’s independence is challenged as it balances two rival investors, its safety-first narrative faces pressure from regulatory scrutiny, and its path to IPO introduces new financial pressures. Globally, this accelerates a "tri-polar" closed-loop structure in AI infrastructure, with Microsoft-OpenAI, Google-Anthropic, and Amazon-Anthropic forming exclusive model-cloud alliances. In contrast, China’s landscape differs—investments like Alibaba and Tencent backing open-source model firm DeepSeek reflect a more decoupled approach, though closed-source models from major cloud providers still dominate. The $65 billion bet is ultimately about securing a seat at the table in an AI-defined future—where missing the model layer means losing the cloud war.

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Computing Power Constrained, Why Did DeepSeek-V4 Open Source?

DeepSeek-V4 has been released as a preview open-source model, featuring 1 million tokens of context length as a baseline capability—previously a premium feature locked behind enterprise paywalls by major overseas AI firms. The official announcement, however, openly acknowledges computational constraints, particularly limited service throughput for the high-end DeepSeek-V4-Pro version due to restricted high-end computing power. Rather than competing on pure scale, DeepSeek adopts a pragmatic approach that balances algorithmic innovation with hardware realities in China’s AI ecosystem. The V4-Pro model uses a highly sparse architecture with 1.6T total parameters but only activates 49B during inference. It performs strongly in agentic coding, knowledge-intensive tasks, and STEM reasoning, competing closely with top-tier closed models like Gemini Pro 3.1 and Claude Opus 4.6 in certain scenarios. A key strategic product is the Flash edition, with 284B total parameters but only 13B activated—making it cost-effective and accessible for mid- and low-tier hardware, including domestic AI chips from Huawei (Ascend), Cambricon, and Hygon. This design supports broader adoption across developers and SMEs while stimulating China's domestic semiconductor ecosystem. Despite facing talent outflow and intense competition in user traffic—with rivals like Doubao and Qianwen leading in monthly active users—DeepSeek has maintained technical momentum. The release also comes amid reports of a new funding round targeting a valuation exceeding $10 billion, potentially setting a new record in China’s LLM sector. Ultimately, DeepSeek-V4 represents a shift toward open yet realistic infrastructure development in the constrained compute landscape of Chinese AI, emphasizing engineering efficiency and domestic hardware compatibility over pure model scale.

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