3 Ripple And XRP Developments Investors Should Be Aware Of

bitcoinistPublished on 2026-02-23Last updated on 2026-02-23

Abstract

XRP is gaining significant attention beyond price movements, featuring in major discussions across banking, real-world assets, and U.S. politics. Key developments include SBI Holdings, a major Ripple ally, announcing a blockchain-based bond offering worth approximately $64.5 million with XRP rewards for investors. Additionally, the XRP Ledger now dominates tokenized U.S. Treasury products, accounting for about 63% of supply in OpenEden’s TBILL Vault. Finally, a U.S. Supreme Court ruling against former President Trump’s tariffs may trigger $150 billion in refunds, potentially causing market-wide volatility that could impact XRP’s price.

XRP hasn’t just been moving on price charts lately; it has been popping up in major conversations across banking, real-world assets, and even US politics.

New updates have surfaced in the past few days that touch everything from Japan’s biggest financial group to tokenized US Treasuries and a surprising development out of Washington. These updates offer important context about what’s building for XRP and Ripple behind the scenes and how they can affect the cryptocurrency’s price action.

Major Banking Group Makes Huge XRP Announcement

A new announcement from SBI Holdings has reiterated growing institutional interest in XRP in the Asian market. A press release dated February 20, 2026, from SBI Ripple Asia Corporation confirmed the start of technical support aimed at implementing blockchain utilization in financial services. The summary specifically references the use of the XRP Ledger in financial applications.

The development comes alongside SBI’s launch of a 10 billion yen (approximately $64.5 million) blockchain-based bond for individual investors. The SBI START Bonds will offer fixed interest, blockchain-based settlement, and XRP rewards for eligible participants registered on the company’s exchange platform.

SBI has long been one of Ripple’s closest institutional allies and currently holds a 9% stake in Ripple Labs, making this expansion of blockchain-backed financial products particularly notable for XRP holders. Crypto commentator JackTheRippler reacted strongly to the update on the social media platform X, adding that sleeping crypto traders will only start to wake up when they see the XRP price at $100.

XRPL Leading Treasury Products; Tariff Ruling Signals Volatility

On-chain data shows that the XRP Ledger is increasing its position in the tokenized U.S. Treasury space. According to figures from RWA.xyz shared by analyst Xaif Crypto, XRPL now accounts for roughly 63% of the tokenized US Treasury supply in the OpenEden Treasury Bills (TBILL) Vault.

The OpenEden Treasury Bills is a smart contract vault that offers investors direct exposure to short-dated US Treasury bills (US T-Bills) through the TBILL token. TBILL issuance on XRPL has climbed to about $61.7 million at the time of writing, placing it ahead of networks such as Ethereum, Solana, and Arbitrum in this category.

In a recent video, crypto commentator Levi Rietveld discussed a US Supreme Court ruling that declared President Donald Trump’s tariffs illegal and how the next sequence of events might affect cryptos, including XRP, in the coming days and weeks.

Due to the ruling, the US government could face up to $150 billion in tariff refunds. However, the court reportedly warned that the refund process may be complex, and President Trump has indicated he has a backup strategy to address the situation.

Rietveld suggested that these developments and refunds could lead to intense volatility across financial markets, including crypto. Notably, macro events like this have always had an effect on the price action of XRP.

XRP trading at $1.39 on the 1D chart | Source: XRPUSDT on Tradingview.com

Bitcoin ETFs Rout Extends To June With $1.72 Billion Net Outflows In First Week

U.S. Bitcoin spot ETFs extended their downturn into early June, recording net outflows of approximately $1.72 billion from June 1-5 following a poor May. This trend reflects sustained bearish sentiment, with only one day of positive net inflows in the past 15 trading sessions. BlackRock's IBIT led the withdrawals with $1.34 billion in outflows, while most other major funds also saw redemptions. Total ETF net assets fell over 20% to $75.12 billion. In parallel, Ethereum spot ETFs saw net outflows of $168 million, indicating investor caution amid macroeconomic uncertainty. Bitcoin's price hovered around $61,592 at press time.

bitcoinist2h ago

Bitcoin ETFs Rout Extends To June With $1.72 Billion Net Outflows In First Week

bitcoinist2h ago

Zcash Suffers Historic Collapse As Billions Vanish From Market Value

Zcash, a privacy-focused cryptocurrency, suffered a historic collapse in price, losing over 50% of its value in 24 hours and erasing billions from its market cap. The dramatic sell-off was triggered by the disclosure of a major vulnerability in the Zcash Orchard privacy pool that had remained undetected since May 2022. A security researcher, using AI, developed a proof-of-concept to generate counterfeit ZEC. While the bug was patched by June 2, Zcash's privacy design makes it impossible to verify if any fake coins were minted before the fix, fueling market panic and uncertainty. This event highlights the trade-off between privacy and transparency. In response, Shielded Labs is exploring a network upgrade to allow supply verification. Despite the crisis, proponents argue that the discovery by world-class security researchers demonstrates the network's commitment to proactive hardening and resilience.

bitcoinist6h ago

Zcash Suffers Historic Collapse As Billions Vanish From Market Value

bitcoinist6h ago

Has the 'Digital Gold' Narrative for BTC Failed?

**Title: Has the "Digital Gold" Narrative for Bitcoin Failed?** The article argues that Bitcoin's "digital gold" narrative remains valid despite a recent sharp price decline (from a peak near $126k in Oct 2025 to briefly under $61k in Feb 2026). It presents a long-term investment framework based on three core points: **1. Viewing Bitcoin as an Asset:** Bitcoin is presented as a superior potential store of value compared to gold. Key arguments are its absolute scarcity (21 million cap), superior portability, and transparent auditability via its public ledger. While acknowledging its current use in early, volatile stages (~3-4% global adoption), the author draws parallels to the early, disruptive phases of the internet and e-commerce. **2. Understanding the Recent Downturn:** The current ~50% correction is framed as a predictable, consensus-driven cycle following its post-halving peak (the 2024 halving preceded the Oct 2025 high). A crucial factor is a historic "changing of hands": the influx of new institutional buyers via ETFs allowed early, low-cost holders (miners, OG believers) to take profits. The author notes that while severe, Bitcoin's historical drawdowns (e.g., 93% in 2011, 77% in 2021-22) have been progressively smaller, suggesting maturing holder structure and decreasing volatility over time. **3. The Long-Term Perspective:** The long-term thesis hinges on Bitcoin capturing a portion of gold's market value. With Bitcoin's market cap at ~$1.4 trillion (at $70k) versus gold's ~$20 trillion, significant upside potential exists if the "digital gold" narrative is partially realized. However, the author strongly cautions that short-term risks remain, the bottom is unpredictable, and high volatility is inherent. The real risk is not Bitcoin failing but poor personal position management (over-leverage, wrong capital) and a lack of deep understanding, which can force investors out during severe downturns. The conclusion uses Amazon's 95% crash post-2000 dot-com bubble and subsequent 42x recovery as an analogy. The ultimate question is not if Bitcoin's price will rise, but if an investor's strategy and conviction can withstand the volatility to see the long-term play out. The recent divergence (gold up, Bitcoin down) is posed not as a narrative failure, but as potential evidence of this ongoing, painful transition from a speculative asset to a mainstream allocation.

marsbit7h ago

Has the 'Digital Gold' Narrative for BTC Failed?

marsbit7h ago

Has BTC's 'Digital Gold' Narrative Failed?

The article discusses Bitcoin's "digital gold" narrative, its recent price drop, and long-term outlook through the perspective of "Jason". It argues the narrative is not a failure but that Bitcoin represents a superior, new asset class due to its fixed supply (21 million), portability, and auditability. The piece compares its current ~3-4% global adoption rate to early internet/e-commerce, suggesting significant growth potential. Regarding the 2025-2026 price decline (from ~$126k to briefly under $61k), the author views it as a predictable, consensus-driven sell-off within Bitcoin's ~4-year cycle post-halving, exacerbated by a major "handover" from early, low-cost holders to new institutional buyers via ETFs. A key observation is that historical peak-to-trough drawdowns have lessened over time (e.g., 93% in 2011 to ~50% in 2026), indicating maturing volatility as holder structure changes. For the long term, the author uses a simple framework: Bitcoin's total market cap (~$1.4T at $70k) is only about 7% of gold's (~$20T). Even capturing 30-50% of gold's value would imply substantial upside. However, the article strongly cautions against viewing this as investment advice, emphasizing extreme volatility and the critical importance of risk management, position sizing, and deep fundamental understanding to survive severe drawdowns. It concludes by drawing a parallel to Amazon's 95% crash in 2000 and subsequent 42x recovery, stressing that the key is surviving market cycles to realize long-term potential.

链捕手7h ago

Has BTC's 'Digital Gold' Narrative Failed?

链捕手7h ago

From Code to Cognition: A Ten-Thousand-Word Guide to the Evolution of the Robot Brain

"From Code to Cognition: The Evolution of Robot Brains" The journey of robotic intelligence has shifted dramatically from manually coded systems to AI-driven brains. For decades, robots relied on layered software stacks—perception, state estimation, planning, control—each handcrafted. While predictable, they lacked adaptability. The 2010s saw deep learning revolutionize perception (e.g., object detection) and control (via reinforcement learning), but learned skills remained narrow. The arrival of Large Language Models (LLMs) marked a turning point. LLMs acted as high-level planners, interpreting natural language instructions and generating sequences of actions for traditional robotic systems to execute. However, true integration came with Visual-Language-Action (VLA) models, which fused vision, language, and motion prediction into a single network. Pioneered by models like RT-2 and open-source projects like OpenVLA, VLAs enable robots to reason and act directly from visual input and commands. The most advanced humanoid robots now employ a "dual-brain" architecture: a slow-thinking, large VLA (System 2) for reasoning and planning, and a fast-reacting, small network (System 1) for high-frequency motion control, sometimes with an even lower-level System 0 for balance. This split balances cognition with the physics of real-time movement. Computation is split between onboard hardware (e.g., NVIDIA Jetson) for safety-critical control loops and cloud/edge servers for non-critical tasks like learning and interfaces. A crucial driver is the open-source ecosystem—models like GR00T and OpenVLA allow startups to build upon pre-trained brains and fine-tune them with their own data, accelerating development. Despite progress, current systems struggle with recovery from errors, sample inefficiency, and long-horizon tasks. This has spurred the rise of **World Models**—neural networks that predict the consequences of actions. By simulating possible futures before acting (like NVIDIA Cosmos or Meta V-JEPA), robots can plan, recover, and generalize better. This represents the next frontier: shifting intelligence from learned reactions to an internal model of physics and cause-and-effect. The field is rapidly evolving. While not yet at its "ChatGPT moment," the convergence of cheaper hardware, scalable simulation, and world models points toward robots that are increasingly capable, adaptive, and useful. The question is shifting from "what can robots do?" to "what *should* they do?"

marsbit8h ago

From Code to Cognition: A Ten-Thousand-Word Guide to the Evolution of the Robot Brain

marsbit8h ago

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