Lighter jumps 16% – LIT traders, watch THIS for a move to $2

ambcryptoPubblicato 2026-01-27Pubblicato ultima volta 2026-01-27

Introduzione

LIT surged 16% to $1.81 after defending the $1.50 support level, backed by a 16% increase in trading volume. Futures market activity showed bullish momentum, with Open Interest rising 16% to $145.7 million and Netflow surge of 237%. The Long/Short Ratio exceeded 1, indicating dominant long positions. Two whales staked $2.3 million worth of LIT, signaling long-term confidence and reducing circulating supply. Additionally, the team’s buyback program removed 2.4 million LIT from circulation, further supporting scarcity. Technical indicators like RSI and EMA50 show strengthening upside momentum, though RSI remains below 50. A break above $2 is possible if bullish pressure continues; otherwise, a retracement to $1.70 may occur.

After the Lighter crypto token dropped to a low of $1.53, buyers stepped in and defended the market from further slip. As such, LIT successfully defended the $1.5 support level and jumped to a local high of $1.85, only to slightly retrace.

As of this writing, Lighter [LIT] traded at $1.81, up 16.4% on the daily charts. This price uptick was backed by a 16% jump in trading volume, reflecting bullish momentum.

Lighter sees renewed demand

After LIT tested $1.5, traders in the Futures market rushed to take strategic positions. According to CoinGlass data, the altcoin’s Open Interest (OI) climbed 16% to $145.7 million while Volume rose 28% to $178 million.

When OI and Volume rise in tandem, it signals increased participation and capital flows into the futures market.

In fact, the altcoin saw over $83.37 million in Futures Inflow compared to $79.2 million in outflows. As a result, Futures Netflow jumped 237% to $4.08 million, indicating buyer dominance in the futures market.

Meanwhile, the altcoins Long/Short Ratio climbed above 1, to 1.004, with Binance Top Traders dominating. A ratio above 1 suggested that most traders rushed into the market and took long positions, signaling market bullishness.

Whales stake $2.3 million worth of LIT

Interestingly, during the price pump, investors, especially whales, turned to the network’s staking pool. According to Winngamer, two whales deposited $2,322,712 worth of LIT into the lighter staking pool.

The first whale deposited $2,084,712 in LIT after holding the funds for a month. The second whale deposited $238,000 in LIT after holding the funds for 1 month.

Typically, when investors turn to staking, it signals long-term conviction while they lock tokens to earn yield.

Even more importantly, locking tokens into the staking pool reduces supply, thus rising scarcity, a major boost for potential price appreciation.

On top of that, the Lighter team has been extremely active on the token buyback side. As such, the team has spent most of its fee revenue on LIT buybacks.

In fact, Cryptolycus reported that the Lighter buyback program has repurchased over 2.4 million LIT in less than a month.

Usually, increased buybacks also reduce supply, thereby increasing the risk of a supply shock. With demand for staking and tokenbacks, these two combined position the altcoin on a positive trajectory.

Is this demand enough to flip $2?

LIT successfully defended $1.5, as demand returned from across all market participants. With capital flows into futures, whales staking and token buybacks, its upside momentum strengthened.

As a result, the altcoin’s Relative Strength Index (RSI) made a bullish crossover, but still failed to flip 50, now settling at 49. Likewise, the altcoin flipped its short-term moving average, EMA50, signaling strengthened upside momentum.

With RSI making a bullish move but still held within the bearish zone, it signaled the buyer’s attempted market takeover. For the bullish continuation, the altcoin’s RSI must flip 50, edge into the bullish zone, and also flip EMA20.

In doing so, the upside strength will be validated, boosting it to reclaim $2 and target $2.5 resistance. If this attempted takeover fails, LIT will retrace towards $1.7, with $1.49 as the key support level.


Final Thoughts

  • Lighter successfully defended $1.5 and jumped to a local high of $1.8 amid renewed demand
  • Whales turned staking, as they staked $2.3 million worth of LIT while token buybacks surpassed 2.4 million LIT.

Domande pertinenti

QWhat was the key support level that LIT (Lighter) successfully defended, and what was the resulting price jump?

ALIT successfully defended the $1.5 support level and jumped to a local high of $1.85.

QAccording to the article, what two key metrics rose in the futures market, and what does this tandem increase signal?

AThe altcoin's Open Interest (OI) climbed 16% and Volume rose 28%. When these rise in tandem, it signals increased participation and capital flows into the futures market.

QWhat specific actions did whales take that indicate long-term conviction in LIT, and what was the total value involved?

ATwo whales deposited a total of $2,322,712 worth of LIT into the staking pool, an action that signals long-term conviction as they lock tokens to earn yield.

QBesides whale staking, what other program is reducing the supply of LIT tokens, and what was the reported amount?

AThe Lighter team's buyback program has repurchased over 2.4 million LIT tokens in less than a month, which also reduces the token supply.

QWhat two technical indicator levels does the article state that LIT's RSI must surpass for a validated bullish continuation towards $2?

AFor a validated bullish continuation, the altcoin’s RSI must flip the 50 level and also flip the EMA20.

Letture associate

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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244 Totale visualizzazioniPubblicato il 2026.01.15Aggiornato il 2026.01.15

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