Home TechnologyStellar (XLM) Outpaces Ripple and XRP in RWA Token...
Technology⭐ Featured

Stellar (XLM) Outpaces Ripple and XRP in RWA Tokenization Race, 32 Billion SHIB Withdrawn as Shiba Inu Coin Exchange Exodus Resumes, Apple Futures Now Live on Binance: Morning Crypto Report

Stellar (XLM) leads the RWA race, Shiba Inu (SHIB) hits 2023 exchange lows and Apple futures land on Binance. Plus, why $100 oil is the new Bitcoin trap.

7 April 2026 at 10:30 am
1 views
Stellar (XLM) Outpaces Ripple and XRP in RWA Tokenization Race, 32 Billion SHIB Withdrawn as Shiba Inu Coin Exchange Exodus Resumes, Apple Futures Now Live on Binance: Morning Crypto Report

In the rapidly evolving crypto landscape, several notable developments have taken place in the past few days, highlighting the dynamic nature of the digital asset market. One of the key stories is the surge of Stellar (XLM) in the race to become the preferred token for Real World Assets (RWA) tokenization. This development has positioned Stellar ahead of its competitors, including Ripple (XRP), as the demand for tokenizing real assets continues to grow.

The RWA tokenization race is a significant development in the crypto industry, as it aims to bridge the gap between traditional finance and digital assets. Stellar's XLM has been gaining traction due to its scalability, low fees, and strong community support. This has led to increased adoption by financial institutions and investors looking to tokenize assets such as commodities, real estate, and even stocks. As the competition heats up, Stellar's lead over Ripple highlights the importance of technological innovation and ecosystem growth in the crypto market.

Another significant development is the ongoing exodus from the Shiba Inu (SHIB) ecosystem, with a staggering 32 billion SHIB withdrawn in recent days. This massive withdrawal underscores the ongoing instability and speculation surrounding the meme coin. As SHIB continues to trade at 2023 lows, many investors are reevaluating their positions, leading to a sell-off and reduced liquidity on various exchanges. This situation has raised concerns about the long-term viability of the Shiba Inu project, as its market capitalization has been significantly impacted by these withdrawals.

In a positive note for the crypto industry, Apple futures have now been listed on Binance, one of the world's largest cryptocurrency exchanges. This move signals a growing acceptance of crypto as a viable platform for trading traditional financial instruments. Apple futures on Binance provide traders with an opportunity to speculate on the future price of Apple stock, leveraging the cryptocurrency exchange's infrastructure and user base. This development is expected to attract more institutional investors and mainstream users to the crypto space, further integrating it with traditional finance.

Additionally, the price of oil has reached $100 per barrel, prompting some to compare it to the 2013 Bitcoin bubble. Analysts are warning that this could be another "Bitcoin trap," where speculators invest heavily in a commodity or asset based on its recent surge in price, only to face a potential crash. The parallels between oil and Bitcoin in 2013 are being drawn, as both experienced significant price increases followed by a sharp decline. Investors are now cautious, wondering whether history will repeat itself and if the current oil rally is sustainable in the long term.

In conclusion, the crypto market has witnessed several notable developments in recent days, with Stellar leading the RWA tokenization race, Shiba Inu facing an unprecedented withdrawal, and Apple futures making their debut on Binance. Meanwhile, the $100 oil price has raised concerns about another Bitcoin trap, reminding investors of the importance of prudent decision-making in volatile markets. As these events unfold, the crypto industry continues to evolve, adapting to new opportunities and challenges while shaping the future of finance.

📰 Related News
Ekaya Banaras Founder Palak Shah’s ₹40 Lakh Billboard Mistake Became a Masterclass in Startup Marketing
Ekaya Banaras Founder Palak Shah’s ₹40 Lakh Billboard Mistake Became a Masterclass in Startup Marketing
Ekaya Banaras founder Palak Shah recently opened up about one of the most expensive mistakes she made while building her luxury textile brand. During the early years of the company, Shah rented a premium billboard near Delhi’s DLF Emporio to increase brand visibility. However, after forgetting to cancel the campaign, the hoarding reportedly continued running for months — resulting in losses of nearly ₹40 lakh. The incident has now become a viral example of how small operational oversights can turn into costly business lessons for startups and entrepreneurs.
28 May
Betting On AI: Jensen Huang And NVIDIA’s Rise To The Top
Betting On AI: Jensen Huang And NVIDIA’s Rise To The Top
Before AI was inevitable, it was a gamble—and Jensen Huang went all in.
14 Apr
Red Hat OpenShift sandboxed containers 1.12 and Red Hat build of Trustee 1.1 bring confidential computing to bare metal and AI workloads
Red Hat OpenShift sandboxed containers 1.12 and Red Hat build of Trustee 1.1 bring confidential computing to bare metal and AI workloads
Red Hat is excited to announce the release of Red Hat OpenShift sandboxed containers 1.12 and Red Hat build of Trustee 1.1, marking a major leap forward in our confidential computing journey. These releases graduate confidential containers on bare metal from …
14 Apr
Large AI firms hoovering maximum funding, not enough for smaller startups: Y Combinator’s Ankit Gupta
Large AI firms hoovering maximum funding, not enough for smaller startups: Y Combinator’s Ankit Gupta
YC Startup School: India’s talent pool across colleges and universities are key for building next-gen startups, which is what YC is looking to tap into. It wants to target entrepreneurs building for global markets, focussed on fintech, consumer, B2B, and ecom…
14 Apr
TSMC likely to book fourth straight quarter of record profit on insatiable AI demand
TSMC likely to book fourth straight quarter of record profit on insatiable AI demand
TSMC-RESULTS/ (PREVIEW, PIX):PREVIEW-TSMC likely to book fourth straight quarter of record profit on insatiable AI demand
14 Apr
TSMC likely to book fourth straight quarter of record profit on insatiable AI demand
TSMC likely to book fourth straight quarter of record profit on insatiable AI demand
Any profit result ‌above T$505.7 billion would mark the company's highest-ever quarterly net income ​and its ninth consecutive quarter of profit growth
14 Apr
TSMC likely to book fourth straight quarter of record profit on insatiable AI demand
TSMC likely to book fourth straight quarter of record profit on insatiable AI demand
On Thursday, ​TSMC is expected to report a net profit of $17.1 billion for the quarter, according to an LSEG SmartEstimate compiled from 19 analysts. The war in the Middle East threatens to disrupt the supply of production materials for semiconductors such as…
14 Apr
If we can’t kick the habit, how do we manage AI’s energy needs?
If we can’t kick the habit, how do we manage AI’s energy needs?
One can only hope that OpenAI’s Sam Altman was joking when he sought to justify the immense energy consumption of artificial intelligence
14 Apr
What caused Nvidia Blackwell GPU prices to spike? #tech
What caused Nvidia Blackwell GPU prices to spike? #tech
Blackwell GPU hourly “rent” surges on agentic AI demand A compute pricing index tracking hourly costs for Nvidia Blackwell GPUs shows a sharp climb: hourly rental hit $4.08 , up 48% from $2.75 just two months earlier. The reported driver is rising demand tied…
14 Apr
Anthropic Releases Claude Mythos Preview with Cybersecurity Capabilities but Withholds Public Access
Anthropic Releases Claude Mythos Preview with Cybersecurity Capabilities but Withholds Public Access
Anthropic has introduced Claude Mythos Preview, its most advanced AI model, improving significantly in reasoning, coding, and cybersecurity. Unlike previous releases, it will not be publicly available. Access is limited to a consortium of tech companies throu…
14 Apr