Solana (SOL)

I think that we're going to see more strength from the enitre $SOL ecosystem.

I look at the BTC pairs to see whether there's strength within the entire industry.

Technically; I think that we're going to see a strong upwards trend.

➡️ It has made a higher low.
➡️ It has made a breakout above the 21-Day MA.
➡️ It has made a higher high.

That means that it's currently in buy the dip modus until proven otherwise and that would mean that we're seeing $SOL trade above $100 soon.

My bet within Solana? I'm betting on $W, as I think that it's a higher beta play in the markets.

Doesn't mean that I'll hold it endlessly, but my expectations are positive.

Solana forms a bullish candle on the 1‑day timeframe.

As discussed a few days ago, Solana is more bullish than BTC and ETH, so we can expect further gains for Solana.

Furthermore, you can try monitoring the crypto movements in the Solana ecosystem such as RAY, JUP, and others.

This week, most of the insightful articles on the timeline highlighted where crypto and AI are creating real leverage.

From onchain banking and prediction markets to AI workflows, social mining, and airdrop opportunities, if you’re looking for the narratives shaping the next phase of adoption, here’s what stood out this week.

—
Before chasing every new airdrop, @FabianoSolana highlights the projects with the strongest reward potential across @solana.

RWA, DeFi, and onchain finance platforms such as @xStocksFi, @Loopscale, @hylo_so, and @onrefinance stood out as top opportunities.

The key to maximizing rewards is starting early, using products consistently, and focusing on projects with strong fundamentals rather than farming everything.

https://t.co/vzRezt0dmr

—
@Zephyr_hg argues that the biggest AI opportunities are shifting toward individuals who can build and manage AI-powered workflows rather than simply using AI for prompts or coding.

By combining context, automation, and AI tools into repeatable systems, solo builders can achieve the output of entire teams, making AI system design one of the most valuable skills of the emerging AI era.

https://t.co/tosPZuRqQ4

—
@defi_Vron challenges the idea that Web3 is only for technical experts, arguing that Social Mining rewards contribution rather than coding skills.

Content creation, education, research, and community building were highlighted as valuable ways to participate.

This basically means Web3 is accessible to anyone who can create value and engage with communities.

https://t.co/LtS7C9S5M1

—
@Jackhaldorsson explores how crypto-native neobanks are reshaping banking by combining stablecoins, DeFi yield, and blockchain settlement with familiar financial services like cards, transfers, and savings.

With infrastructure providers like @raincards reducing barriers to entry, stablecoin-powered banking is moving mainstream.

This is driven by demand for faster payments, higher yields, cross‑border payroll, and low‑cost remittances.

https://t.co/Kqa291auQ2

—
@0xcarlosg introduces a framework for evaluating onchain banking as an investment theme, focusing on how stablecoin-powered neobanks are creating new opportunities across consumer finance.

Neobank exposure and operating traction were outlined as the key metrics for assessing liquid tokens, with $ETHFI, $GNO, $XPL, $AVICI, $JUP, and $AAVE positioned as ways to gain exposure to the growing onchain banking ecosystem.

https://t.co/cupIFUuRWq

—
@neil_xbt explains how combining Hermes and Claude can automate business intelligence by continuously monitoring industry trends, competitors, regulations, and customer sentiment.

Memory, scheduled research, and AI‑powered synthesis were highlighted as the key components, enabling founders to receive actionable daily briefings and identify long‑term market patterns without manually tracking industry updates.

https://t.co/CrWiVJNfcF

—
@Eli5defi argues that the real opportunity in crypto neobanks extends far beyond payment cards.

Stablecoin‑powered accounts are becoming the foundation of next‑generation financial services.

Infrastructure, distribution, and user ownership are the key competitive advantages, and the strongest players will be those that build trusted financial ecosystems rather than just launching branded crypto cards.

https://t.co/x2yYwiKNlR

—
@RohOnChain explores how loop engineering can automate quantitative trading by replacing manual AI prompting with self‑running systems that continuously research, verify, execute, and refine trading strategies.

He highlighted automation, memory, verification, and feedback loops as the core components, enabling trading systems to improve over time by learning from every executed trade and outcome.

https://t.co/W7O7hD2d7K

—
Prediction markets are scaling fast, but @CryptoJonesRC argues that we need better trading infrastructure, not new platforms.

With over $60B in trading volume, capital efficiency has become the biggest bottleneck, and @ForecastFDN introduces a leverage layer that enables up to 100x exposure without price‑based liquidations.

As prediction markets mature, the edge may shift from simply predicting outcomes to the protocols improving liquidity, leverage, and information discovery.

https://t.co/jjnbPMpw47

—
@0xMortyx explains that AI is moving beyond prompting into loop design.

His 5‑level framework shows the progression from simple prompts to self‑running, self‑improving AI agents, with each stage reducing human intervention through better automation and verification.

The competitive advantage is shifting from writing better prompts to designing smarter loops that can operate, learn, and scale on their own.

https://t.co/i83lsbIiJG

—
Across every narrative, the biggest opportunities are moving toward the infrastructure powering the ecosystem.

As crypto and AI continue to mature, the greatest upside will likely come from owning the infrastructure, skills, and systems driving the next wave of adoption.

Stick around for more insightful articles next week.