XRP Price Nears ABC Correction With Clear Targets For Buying

bitcoinistPubblicato 2025-04-09Pubblicato ultima volta 2025-04-09

Introduzione

The XRP price is nearing the final stages of an ABC correction, potentially setting the stage for a strong recovery....

Trusted Editorial content, reviewed by leading industry experts and seasoned editors. Ad Disclosure

The XRP price is nearing the final stages of an ABC correction, potentially setting the stage for a strong recovery. According to a crypto analyst, the XRP price may decline further before making a move to the upside. As the final leg unfolds, the altcoin may soon present new price targets for a compelling buying opportunity. 

XRP Price Correction To Open Buy Window

A pseudonymous crypto analyst known as Blockchain Backer on X (formerly Twitter) has announced to his over 300,000 followers that XRP is getting ready for another price correction. This pullback target will represent a buying opportunity for traders who wish to take advantage of low prices in hopes of a potential rebound

In his chart analysis, Blockchain Backer revealed that the XRP is deep in Wave C of an ABC correction on the 4-hour chart. An ABC correction is a continuation chart pattern that signals that the price of a cryptocurrency is likely to move in the same direction as the previous trend before the ABC corrective wave. Notably, this pattern is a key movement within the Elliott Wave Theory, which indicates a potential pullback and can be used to determine trading opportunities. 

According to the analyst, after a failed recovery attempt, the XRP’s price has now broken down below its 200-day Moving Average (MA)—a standard bearish signal. However, the analyst believes that this recent breakdown represents a capitulation, which is a necessary step before the market reverses its course.    

XRP
Source: Blockchain Backer on X

Interestingly, XRP’s ABC correction has followed a textbook structure, with Wave A marked by an initial sharp decline. Following this, Wave B provided a temporary relief rally for the price. Currently, Wave C is targeting lower levels and showing signs of nearing completion.

The projected bottom for Wave C has been set at the $1.40 to $1.50 range, highlighted by the green demand zone on the price chart. This area aligns with historical support levels and the 0.786 Fibonacci retracement, further reinforcing it as a potential reversal zone.  

Based on Blockchain Backer’s analysis, the $1.40 – $1.50 zone, which presents a 24% decline from XRP’s current market value, stands out as a strong entry point for buyers seeking a discounted opportunity. If the past pattern holds, the altcoin could see a recovery once Wave C plays out. For now, however, the cryptocurrency continues to face market volatility as it aims to avoid a deeper price crash. 

Update On The Price Action

In the past 48 hours, XRP plunged to a low of $1.68, marking a steep drop of over 20%, according to CoinMarketCap’s data. However, the cryptocurrency quickly experienced a recovery and is back up to $1.86 after jumping by 9.62% in just 24 hours.

This sudden rebound has caught the market off guard, with many wondering if whales are driving this upward momentum. Alongside its price surge, XRP’s trading volume has climbed 13.14%. Despite the broader market turmoil, the cryptocurrency has remained resilient, holding steady and showing signs of bullish growth that defies present negative trends.

XRP
XRP trading at $1.8 on the 1D chart | Source: XRPUSDT on Tradingview.com
Featured image from iStock, chart from Tradingview.com
Editorial Process for bitcoinist is centered on delivering thoroughly researched, accurate, and unbiased content. We uphold strict sourcing standards, and each page undergoes diligent review by our team of top technology experts and seasoned editors. This process ensures the integrity, relevance, and value of our content for our readers.

Scott Matherson is a leading crypto writer at Bitcoinist, who possesses a sharp analytical mind and a deep understanding of the digital currency landscape. Scott has earned a reputation for delivering thought-provoking and well-researched articles that resonate with both newcomers and seasoned crypto enthusiasts. Outside of his writing, Scott is passionate about promoting crypto literacy and often works to educate the public on the potential of blockchain.

Letture associate

Morning News | Coinbase Partners with Standard Chartered to Expand Multi-Currency Fiat Channels; Sharplink and Forward to be Included in Russell Indices; JPMorgan May Issue Stablecoin in the Future

Daily Crypto Recap: Key Developments Institutional adoption continues: Coinbase partners with Standard Chartered to expand multi-currency fiat rails for institutions via Coinbase Prime, supporting AUD, SGD, CAD, CHF, EUR, and GBP. Meanwhile, Sharplink and Forward Industries, companies holding significant ETH and SOL reserves respectively, are set to be included in the Russell indexes, providing indirect crypto exposure to traditional index investors. Regulatory and compliance moves are in focus. Hong Kong's monetary authority announced new measures for investment accounts of mainland Chinese investors, including retroactive document checks to January 2023. Prediction market Polymarket is considering implementing KYC requirements to address sanctions and legal risks. Major financial players signal deeper involvement. JPMorgan Chase CEO Jamie Dimon suggested the bank might issue a stablecoin in the future. Concurrently, Falcon Finance and Anchorage Digital launched fUSD, a compliant, institution-focused stablecoin. Market sentiment presents a mixed picture. Bitmine's Tom Lee predicts an incoming crypto "supercycle," driven by Wall Street tokenization and AI agents, with Ethereum as a key beneficiary. However, a prominent trader cautions that the current period of investor losses may not be long enough to confirm a bear market bottom, and TD Cowen analysts note diminished chances for U.S. crypto market structure legislation this year due to a worsening political climate. Other notable news includes a16z crypto's observation that most tokenized assets are merely "digitized" and not actively used in DeFi, South Korea's crypto trading volume falling to about 8% of KOSPI's, and the Chinese Supreme Court stating it will research judicial rules for virtual currency cases.

链捕手59 min fa

Morning News | Coinbase Partners with Standard Chartered to Expand Multi-Currency Fiat Channels; Sharplink and Forward to be Included in Russell Indices; JPMorgan May Issue Stablecoin in the Future

链捕手59 min fa

Sitting on a Trillion-Dollar Market, Why Hasn't Real Estate Tokenization Taken Off?

For years, real estate tokenization has been hailed as a breakthrough technology poised to democratize property investment. In theory, it promises fractional ownership of premium assets, rapid transactions, and enhanced liquidity. Yet, in practice, it has failed to gain traction, accounting for less than 0.1% of the global real estate market. The core issue is not a lack of tokens, but the absence of a robust legal, operational, and compliant framework that grants them credibility as financial instruments. The industry initially erred by prioritizing technology over investor needs, creating products with unclear ownership and unreliable liquidity. Key infrastructure remains missing: legally sound ownership structures, compliant transfer mechanisms, professional servicing, and interoperability with traditional finance. This regulatory ambiguity and operational complexity deter institutional investors, who already have access to established, well-governed investment channels. A mature model would feature low minimum investments in institutional-grade assets, transparent rental income distribution, and genuine liquidity through regulated secondary markets. While regulatory progress in regions like the UAE and growth in other tokenized asset sectors (like treasuries) are positive signs, the focus must shift from issuing tokens to building foundational systems. The investment proposition of tokenized real estate is not to create new returns, but to improve access, efficiency, and liquidity for existing income-generating properties. For mainstream adoption, the sector must demonstrate tangible economic advantages over traditional models, not just technical novelty. The next phase depends on proving scalable, compliant operations with auditable track records. The barrier is no longer technology, but infrastructure and regulation. The vision remains unfulfilled until this gap is bridged.

marsbit1 h fa

Sitting on a Trillion-Dollar Market, Why Hasn't Real Estate Tokenization Taken Off?

marsbit1 h fa

Large Language Models Ace All Exams, Yet Move Farther from AGI: What Does This Paper Reveal?

The article discusses the ongoing challenge of defining and achieving Artificial General Intelligence (AGI). It notes that industry leaders have set vague, often profit- or time-based benchmarks for AGI, while the concept itself lacks a consensus definition—a situation the article compares to a "Rorschach test." It highlights a recent 2025 paper by researcher Michael Timothy Bennett, who proposes a new, measurable definition. Bennett frames AGI not as mimicking human performance on tests, which current large language models (LLMs) have already mastered, but as an "artificial scientist." A true AGI, according to this view, should be able to widely and efficiently adapt to new environments and tasks within real-world constraints (like computational and energy limits), focusing on the *discovery of new knowledge* rather than the replication of existing data. The author contrasts this with the current dominant approach of "scale-maxing"—massively scaling up data, parameters, and compute. While powerful, this method leads to models that fail on out-of-distribution problems and lack core intelligent abilities: they are passive learners, cannot reason causally, and cannot actively experiment or balance exploration with exploitation. The article argues that Bennett's framework offers a crucial shift. It makes AGI a quantifiable engineering problem and proposes new evaluation "adaptation benchmarks" that test an AI's ability to actively learn in novel scenarios. The conclusion is that achieving AGI will require a fundamental reset—a fusion of multiple methodologies beyond simple scaling, moving AI from mimicking patterns to embodying the scientific spirit of inquiry and discovery.

marsbit2 h fa

Large Language Models Ace All Exams, Yet Move Farther from AGI: What Does This Paper Reveal?

marsbit2 h fa

Trading

Spot
Futures
活动图片