Litecoin’s 42% rally – How altcoin can eye THIS level for next 14% hike!

ambcryptoPublicado a 2025-07-20Actualizado a 2025-07-21

Key Takeaways

Litecoin does not look primed for a pullback, which means a BTC or ETH price drop could affect LTC’s price. Traders can expect another 14% rally after the $117-level is flipped to support within this week.


Litecoin [LTC] has rallied by 42.4% in a month. The altcoin was buoyed by the strong bullish sentiment across the market. Bitcoin [BTC] and Ethereum [ETH] were up by 14.6% and 56% over the same period. The sizeable gains that ETH has made in a short time have spurred confidence in the altcoin market. In fact, the altcoin market cap was at $1.5 trillion, adding $401 billion (36%) since 20 June.

It was unclear how much longer this rally, for ETH or LTC, could go without a sizeable pullback. Therefore, traders need to be cautious. They can use the lower timeframe market structure shifts to detect trend reversals early and modify their market biases accordingly.

Bullish Litecoin strength promises another 14% in gains, but can these come this week?

Litecoin 1-day ChartLitecoin 1-day Chart

Source: LTC/USDT on TradingView

Based on the rally in April and May from $63 to $107, a set of Fibonacci retracement and extension levels was plotted. It showed that the 61.8% retracement level was at $79.88. This level was tested as support in June, and LTC rebounded higher.

The 1-day chart showed a strong bullish breakout past the $107-level on Saturday, 19 July. At the time of writing, the 23.6% extension level at $117 was being tested as resistance. The RSI was in overbought territory, but did not signal an immediate pullback. Especially since it has not made a bearish divergence yet.

The OBV pushed skywards towards the highs of January. This reflected intense buying pressure in recent weeks, which led to rapid OBV expansion. Overall, Litecoin might be driven higher by significant demand.

The Fixed Range Volume Profile tool was used for LTC’s price action in 2025. It showed that the Point of Control (PoC) lay at $127.6, offering the next key resistance for the altcoin. The Value Area High (dotted blue) was at $133.36, and had confluence with the 61.8% extension level at $134.

Traders and investors shouldn’t immediately go short on LTC since it might be overextended, but this might not be the time to buy. A pullback towards $100 would be a welcome buying opportunity.

Disclaimer: The information presented does not constitute financial, investment, trading, or other types of advice and is solely the writer’s opinion

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In a new article, Dr. Fei-Fei Li addresses the widespread and often inconsistent use of the term "world model" in AI. She proposes a clear, functional taxonomy rooted in the classic Partially Observable Markov Decision Process (POMDP) loop (agent → action → state → observation → agent). According to this framework, current systems called "world models" are different projections of this loop, categorized by their primary output: 1. **Renderers**: Output observations (pixels). Their goal is visual fidelity for human consumption (e.g., video generation models like Sora). They are the most commercially mature but are limited by a focus on appearance over physical accuracy. 2. **Simulators**: Output states (geometric, physical, dynamic representations). They provide a structurally accurate world for both human professionals (e.g., architects) and computational agents (e.g., robots for training). Li argues simulators are the crucial, underappreciated bridge, as they can underpin both rendering and planning. 3. **Planners**: Output actions. Given an observation and a goal, they decide what an agent should do next (e.g., robotic action models). This area is highly promising but remains the least mature for real-world deployment. Li highlights a key trend: the boundaries between these three categories are beginning to blur, as they all rely on a shared underlying understanding of geometry, physics, and dynamics. The logical endpoint is a unified world foundation model capable of switching between rendering, simulation, and planning based on downstream needs. This convergence, she concludes, is central to advancing spatial intelligence—enabling machines not just to talk about the world, but to truly understand, imagine, and interact with it.

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Cómo comprar LTC

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Cómo comprar LTC

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Bienvenido a la comunidad de HTX. Aquí puedes mantenerte informado sobre los últimos desarrollos de la plataforma y acceder a análisis profesionales del mercado. A continuación se presentan las opiniones de los usuarios sobre el precio de LTC (LTC).

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