SOL up 16% – Exposing the strategy fueling Solana’s early 2026 momentum

ambcryptoPubblicato 2026-01-17Pubblicato ultima volta 2026-01-17

Introduzione

Solana is strategically expanding its on-chain liquidity by adopting a multi-faceted approach that includes centralized exchange (CEX)-like features. A key driver is the growth of its stablecoin market cap, which reached an all-time high of $15 billion—a 200% increase from 2025. The network is further accelerating liquidity by introducing multi-chain assets and supporting in-house token launches, aiming to create deeper, more stable trading conditions. This strategy is reinforced by strong capital inflows across key areas. Solana’s real-world asset (RWA) sector reached a record $1.13 billion in tokenized value, while memecoins account for 63% of all DEX activity on the network, with daily trading volume averaging $4 billion. By diversifying across stablecoins, memecoins, and tokenized assets, Solana is capturing significant liquidity and boosting on-chain activity. As a result, SOL has surged 16% in early 2026, outperforming other major Layer-1 blockchains and reflecting strong market confidence in its expansion strategy.

Technically, high on-chain liquidity is considered a bullish signal. When liquidity is deep, a large number of trades can be executed quickly without causing sharp swings, thereby supporting more stable market conditions.

Traditionally, centralized exchanges (CEXs) have played this role by concentrating liquidity and enabling fast trade execution. Basically, they act as hubs where traders meet, making it easier to enter and exit positions.

However, what happens when this function moves onto a blockchain? While decentralized exchanges (DEXs) already exist, Solana [SOL] appears to be pushing beyond standard DEX models and taking this a step further.

Solana’s strategic shift towards liquidity expansion

Historically, stablecoins have acted as a key liquidity engine.

In particular, coins like USDT and USDC serve as on-chain bridges, allowing investors to move in and out of positions quickly. As a result, Layer-1 networks are now competing to capture this growing sector.

Looking at Solana, the L1 is clearly making its mark. According to Token Terminal, the stablecoin market cap on Solana hit an all-time high of $15 billion – Representing a 200% jump from the $7.5 billion seen in 2025.

However, SOL now seems to be moving into a deeper phase of expansion.

On 16 January, the network accelerated multi-chain listings, introducing four assets on top of its growing roster of in-house launches. Consequently, the market interpreted this move as a strategic pivot.

At the core of this strategy is a CEX approach. By introducing new assets directly on its L1, Solana is clearly targeting deeper liquidity. In turn, supporting higher on-chain activity and strengthening the ecosystem.

Looking at SOL’s start to 2026, the “timing” of this move is notable.

Solana sees record capital flows across key sectors

Solana has kicked off 2026 by reinforcing confidence in its fundamentals.

At the sector level, the network’s real-world asset (RWA) sector climbed to an all-time high of $1.13 billion in total tokenized value. As a result, Solana now leads among high-caps, with a nearly 20% hike in 30-day value.

Meanwhile, its memecoin sector isn’t far behind. Data from Blockworks revealed memecoins now make up 63% of all DEX activity on Solana. In fact, figures for the same hit a seven-month high, with the daily trading volume averaging $4 billion.

Taken together, these trends show that capital is moving across Solana.

Moreover, when factoring in the stablecoin market and token launches, it becomes clear that the network is capturing liquidity through “diversification” across multiple asset types (stables, memes, and tokens).

Looking at the technicals, the impact is evident. SOL is leading among top-cap L1s with a 16% rally so far in 2026 – A sign of strong market confidence in the expansion. Liquidity expected to drive further growth too.


Final Thoughts

  • Solana is capturing on-chain liquidity through diversification.
  • SOL is leading top-cap L1s with a 16% rally in 2026 so far.

Domande pertinenti

QWhat is considered a bullish signal in the context of on-chain activity, and how does Solana's strategy relate to this?

AHigh on-chain liquidity is considered a bullish signal as it allows for large trades to be executed quickly without causing sharp price swings, supporting stable market conditions. Solana's strategy of expanding liquidity through multi-chain asset listings and capturing a growing stablecoin market cap is directly fueling this bullish momentum.

QHow has the stablecoin market cap on Solana changed, and what does this indicate?

AThe stablecoin market cap on Solana reached an all-time high of $15 billion, representing a 200% jump from the $7.5 billion seen in 2025. This indicates a massive influx of on-chain liquidity, which is a key engine for the network's growth and stability.

QWhat two key sectors on Solana have seen record capital flows at the start of 2026?

AAt the start of 2026, Solana's Real-World Asset (RWA) sector reached an all-time high of $1.13 billion in total tokenized value, and its memecoin sector made up 63% of all DEX activity, with daily trading volume averaging $4 billion.

QWhat core strategic approach is Solana using to target deeper on-chain liquidity?

ASolana is employing a 'CEX-like' approach by introducing new assets directly on its Layer-1. This includes multi-chain listings and in-house token launches, which are designed to concentrate liquidity, support higher on-chain activity, and strengthen the overall ecosystem.

QWhat is SOL's price performance among top-cap Layer-1s at the start of 2026, and what is it a sign of?

ASOL is leading among top-cap Layer-1s with a 16% rally so far in 2026. This performance is a sign of strong market confidence in Solana's strategic expansion and its ability to capture liquidity through diversification across various asset types.

Letture associate

Apple Also Has to Pay Rent Now

Apple Pays Rent Too: The Two-Way Flow of "Traffic Tax" and "AI Capability Rent" Between Tech Giants For over two decades, Google has paid Apple an estimated $20 billion annually to remain the default search engine on Safari, a "traffic tax" for a critical user entry point. However, in 2026, the direction of this cash flow partially reversed. Apple agreed to pay Google roughly $1 billion per year to license its Gemini AI models, as Apple's own models reportedly struggled with complex tasks. This creates a unique dynamic: Apple acts as the "landlord" in the established search ecosystem, collecting rent from Google for access. Simultaneously, in the emerging AI arena, Apple becomes the "tenant," paying Google for access to cutting-edge AI capabilities it cannot currently match internally. While Apple claims its new models are "distilled" from Gemini outputs and contain "not a drop" of Google's original code, core dependencies remain. Its knowledge base is refined using Gemini's outputs, and its most powerful cloud model runs on Google's infrastructure. Apple has structured the deal as non-exclusive, allowing it to theoretically switch AI suppliers—a hedge against over-reliance. The future hinges on whether advanced AI models become a commodity (cheap and abundant) or remain a concentrated, scarce resource (expensive and controlled by few). Apple is betting on the former, leveraging its massive device ecosystem to be a powerful, choosy customer. If the latter proves true, its bargaining power could erode. This power dynamic is extending to developers. Apple, Google, and WeChat are all pushing for apps to expose their core functions as standardized "actions" or "intents" that their respective AI assistants (Siri, Gemini, WeChat AI) can directly call. The new scarce resource is no longer just app store visibility, but "being selected by the AI." The currency of "rent" has changed from a 30% revenue share to ceding control over how users interact with an app's functions.

marsbit43 min fa

Apple Also Has to Pay Rent Now

marsbit43 min fa

Missed the SpaceX IPO? WEEX's "First Trade Protection" Lets You Experience US Stock Trading Risk-Free.

With the excitement around SpaceX's recent public listing reigniting interest in the US stock market, Chinese investors face significant challenges accessing compliant and convenient trading channels following regulatory actions against major online brokers. This article explores the available options, highlighting their risks and limitations. Traditional paths for US stock investments remain problematic. Qualified Domestic Institutional Investor (QDII) and Listed Open-Ended Fund (LOF) products, while compliant, suffer from high fees, significant purchase premiums, and a very limited selection of assets. Small, unregulated offshore brokers pose substantial risks, including potential insolvency. While secure, VIP accounts at banks in Hong Kong or Singapore require high minimum deposits (often 1-2 million RMB) and in-person visits, placing them out of reach for most retail investors. The article positions cryptocurrency exchanges, specifically their TradFi (traditional finance on-chain) offerings, as a compelling alternative. Platforms like WEEX are noted for providing access to a wide range of US stocks and ETFs, including SpaceX (SPCXON), through tokenized assets. This method offers advantages such as a single account for both crypto and traditional assets, USDT-based settlement avoiding fiat complexities, flexible leverage, and robust risk management. To attract users, WEEX is promoting a "First Trade Guarantee" campaign. Running from June 15 to July 8 (UTC+8), it features a $30,000 prize pool. Users who trade $500 worth of US stock contracts can qualify for a guarantee on their first eligible trade: 100% loss coverage up to $30 or a 20% bonus on profits up to $30. The campaign is presented as a low-risk opportunity for both crypto natives and traditional investors to experience US stock trading.

marsbit44 min fa

Missed the SpaceX IPO? WEEX's "First Trade Protection" Lets You Experience US Stock Trading Risk-Free.

marsbit44 min fa

How Difficult is Chip Making? A Division Error Costs 475 Million Dollars

How Hard Is It to Make a Chip? A Division Error Cost $475 Million Chip expert Shi Kan, a researcher at the Chinese Academy of Sciences and a popular tech creator, explains the immense challenges of chip development. Chips are foundational to modern technology, but their creation is extraordinarily difficult. The journey from sand to a functional chip involves complex design and manufacturing, but a critical bottleneck is verification—ensuring the design works flawlessly before costly production. A single, undetected bug can have catastrophic consequences, as illustrated by the infamous 1994 Intel Pentium FDIV bug. A flaw in the floating-point division unit forced a recall costing $475 million. Unlike software, chips cannot be easily patched after manufacture, making "first-time success" paramount. However, industry surveys show only 24% of chip projects achieve this; over three-quarters require at least one costly re-spin due to design flaws. Verification has thus become the dominant phase, consuming up to 70% of the design cycle. The core challenge is a "verification impossible triangle" between high performance, good debuggability, and low cost. Exhaustively verifying a modern CPU core could take 15,000 years with software simulation, or 30 years with advanced hardware emulation—timeframes utterly impractical for development. Despite being essential, verification is often seen as unglamorous "dirty work," receiving less academic attention than fields like AI. Shi and his team are tackling this by developing an agile verification research framework called ENCORE, based on FPGA technology, to improve verification efficiency and debug capability. Beyond research, Shi engages in public science communication through long-form video content, aiming to demystify chip technology, AI, and computer science. He argues for the value of pursuing "hard and long-term" endeavors, whether in the meticulous world of chip verification or in creating substantive educational content, believing such sustained effort is likely the right path forward.

marsbit54 min fa

How Difficult is Chip Making? A Division Error Costs 475 Million Dollars

marsbit54 min fa

Trading

Spot
Futures
活动图片