Analyst Says The Real XRP Move Hasn’t Happened Yet, What To Expect

bitcoinistОпубликовано 2026-04-10Обновлено 2026-04-10

Введение

Crypto analyst CasiTrades suggests that XRP's recent surge to $1.39 was not a true bullish move but rather the completion of a corrective Wave 2 within an Elliott Wave structure. This bounce, which reached the 0.618 Fibonacci retracement level, failed to break higher and has set the stage for a stronger downward Wave 3 impulse. The analyst predicts a decline toward $1.09, followed by a potential bounce to $1.20, and possibly further drops to $0.862 if bearish momentum continues. Key factors that could influence this outlook include the upcoming CLARITY Act markup and developments in the Iran ceasefire situation.

XRP’s brief surge on Tuesday was no cause for celebration, at least not according to crypto analyst CasiTrades. Recent price action pushed the cryptocurrency as high as $1.39, creating what looks like a temporary rally. However, one analyst believes the real move hasn’t happened yet, and the current price action is merely preparing for a bigger downward push that could catch traders off guard.

Clean Wave Structure Points To A Larger Move Brewing

The XRP price climbed as high as $1.39 on April 8 as a Pakistan-brokered ceasefire between the US and Iran led to a wave of short liquidations across the crypto market, and sentiment changed from extreme fear to cautious neutral optimism.

But crypto analyst CasiTrades, who has been tracking XRP’s wave structure, saw something different in the price action. The bounce, she says, was exactly what the chart needed to complete a corrective structure. Now, the real move is set to begin.

According to CasiTrades, the recent XRP price bounce in XRP was the completion of a corrective phase. The move into the 0.618 Fibonacci retracement level, which is visible on the chart around the $1.35 to $1.40 range, helped confirm what she identifies as a clean Wave 2 in an Elliott Wave structure.

This move completed the counter-trend move without breaking the broader bearish count. Despite the strength of the bounce, it failed to break above these Fibonacci levels, and XRP is now back to trading at $1.32. Therefore, the next projected move is a Wave 3 impulse that continues the correction.

What The Chart Is Saying

CasiTrades’ analysis lays out a five-wave impulsive decline playing out on the one-hour timeframe. According to her count, XRP had already completed Wave 1 down and Wave 2 up by the time the ceasefire bounce peaked. With Wave 2 now likely completed, attention turns to what typically follows in Elliott Wave theory: Wave 3, which is the strongest and fastest move in the sequence.

The target for Wave 3’s conclusion is somewhere around $1.09, and this corresponds to a 0.618 Fibonacci retracement level. A fourth-wave bounce to $1.20 is expected next. After that, a fifth-wave continuation could follow, with the 0.786 extension at $1.0854 and the 0.854 extension at $0.862 serving as deeper structural targets if the move plays out fully.

The current macro environment offers few bullish factors that can negate the bearish outlook. The two bullish factors are the CLARITY Act markup, which is scheduled for the second half of April, and any progress on the Iran ceasefire. However, if the CLARITY Act stalls and the war drags on, XRP’s $1.30 support could break, and the price could fall lower.

XRP trading at $1.34 on the 1D chart | Source: XRPUSDT on Tradingview.com

Связанные с этим вопросы

QAccording to analyst CasiTrades, what was the significance of XRP's recent price bounce to the $1.35-$1.40 range?

AIt was the completion of a corrective phase, specifically a Wave 2 in the Elliott Wave structure, which confirmed the counter-trend move without breaking the broader bearish count.

QWhat is the next projected move for XRP after the completion of Wave 2, according to the Elliott Wave analysis?

AThe next projected move is a Wave 3 impulse, which is typically the strongest and fastest move in the sequence, expected to continue the correction downward.

QWhat are the two key bullish factors mentioned in the article that could potentially negate the bearish outlook for XRP?

AThe two key bullish factors are the CLARITY Act markup scheduled for the second half of April and any progress on the Iran ceasefire.

QWhat price level is given as the target for the conclusion of the projected Wave 3 decline?

AThe target for the conclusion of Wave 3 is around $1.09, which corresponds to a 0.618 Fibonacci retracement level.

QWhat event on April 8th was cited as the catalyst for XRP's brief surge and a wave of short liquidations across the crypto market?

AA Pakistan-brokered ceasefire between the US and Iran was the catalyst that led to the surge and short liquidations.

Похожее

Telegram Takes Direct Control of TON, Social Traffic Rewrites the Public Chain Narrative

Telegram founder Pavel Durov announced that Telegram will replace the TON Foundation as the core driver and largest validator of The Open Network (TON). Key initiatives include a sixfold reduction in transaction fees, performance upgrades, and improved developer tools within the next few weeks. This marks a strategic shift from Telegram merely providing user access to deeply integrating TON into its platform's core infrastructure. The goal is to transform Telegram's massive social traffic into sustainable on-chain activity. While viral mini-apps like Notcoin have demonstrated Telegram's ability to drive user adoption, TON aims to support frequent, low-value transactions inherent to social platforms—such as tipping, in-app payments, and game rewards. Ultra-low fees and sub-second finality (0.6 seconds) are crucial to making blockchain interactions seamless and nearly invisible within the Telegram user experience. However, Telegram's increased central role raises questions about network decentralization. Durov argues that Telegram's participation will attract more large validators, thereby enhancing decentralization. TON also offers high annual staking rewards (18.8%), aiming to retain capital within its ecosystem. The fundamental challenge for TON is no longer leveraging Telegram's user base, but becoming an indispensable, seamless infrastructure layer for Telegram's everyday applications—moving from an adjacent chain to an embedded utility.

marsbit1 мин. назад

Telegram Takes Direct Control of TON, Social Traffic Rewrites the Public Chain Narrative

marsbit1 мин. назад

Telegram Takes Direct Control of TON, Social Traffic Reshapes Public Chain Narrative

Telegram's founder, Pavel Durov, has announced a major shift in the development of The Open Network (TON). Telegram will now become the core driver of TON, replacing the TON Foundation and becoming its largest validator. The focus will be on technical upgrades over the next few weeks, including slashing network fees by six times to near-zero and improving finality time to 0.6 seconds. This move signifies a deeper integration between Telegram and TON, moving beyond just providing a user base. The goal is to transform Telegram's vast social traffic and built-in features—like Mini Apps, payments, and bots—into sustainable, on-chain usage scenarios. The reduced fees and faster speeds are crucial for enabling the small, frequent transactions typical of social interactions. While this promises stronger execution and product alignment, it raises questions about centralization. Durov argues Telegram's involvement will attract more validators, enhancing decentralization, but the outcome remains to be seen. Additionally, TON's high annual staking reward of 18.8% aims to retain capital within the ecosystem. The key challenge for TON is no longer just leveraging Telegram's entry point, but becoming an invisible, seamless infrastructure layer within Telegram's daily use. Its success hinges on converting viral attention into lasting, embedded utility.

Odaily星球日报11 мин. назад

Telegram Takes Direct Control of TON, Social Traffic Reshapes Public Chain Narrative

Odaily星球日报11 мин. назад

OpenAI Post-Training Engineer Weng Jiayi Proposes a New Paradigm Hypothesis for Agentic AI

OpenAI engineer Weng Jiayi's "Heuristic Learning" experiments propose a new paradigm for Agentic AI, suggesting that intelligent agents can improve not just by training neural networks, but also by autonomously writing and refining code based on environmental feedback. In the experiment, a coding agent (powered by Codex) was tasked with developing and maintaining a programmatic strategy for the Atari game Breakout. Starting from a basic prompt, the agent iteratively wrote code, ran the game, analyzed logs and video replays to identify failures, and then modified the code. Through this engineering loop of "code-run-debug-update," it evolved a pure Python heuristic strategy that achieved a perfect score of 864 in Breakout and performed competitively with deep reinforcement learning (RL) algorithms in MuJoCo control tasks like Ant and HalfCheetah. This approach, termed Heuristic Learning (HL), contrasts with Deep RL. In HL, experience is captured in readable, modifiable code, tests, logs, and configurations—a software system—rather than being encoded solely into opaque neural network weights. This offers potential advantages in explainability, auditability for safety-critical applications, easier integration of regression tests to combat catastrophic forgetting, and more efficient sample use in early learning stages, as demonstrated in broader tests on 57 Atari games. However, the blog acknowledges clear limitations. Programmatic strategies struggle with tasks requiring long-horizon planning or complex perception (e.g., Montezuma's Revenge), areas where neural networks excel. The future vision is a hybrid architecture: specialized neural networks for fast perception (System 1), HL systems for rules, safety, and local recovery (also System 1), and LLM agents providing high-level feedback and learning from the HL system's data (System 2). The core proposition is that in the era of capable coding agents, a significant portion of an AI's learned experience could be maintained as an auditable, evolving software system.

marsbit1 ч. назад

OpenAI Post-Training Engineer Weng Jiayi Proposes a New Paradigm Hypothesis for Agentic AI

marsbit1 ч. назад

Your Claude Will Dream Tonight, Don't Disturb It

This article explores the recent phenomenon of AI companies increasingly using anthropomorphic language—like "thinking," "memory," "hallucination," and now "dreaming"—to describe machine learning processes. Focusing on Anthropic's newly announced "Dreaming" feature for its Claude Agent platform, the piece explains that this function is essentially an automated, offline batch processing of an agent's operational logs. It analyzes past task sessions to identify patterns, optimize future actions, and consolidate learnings into a persistent memory system, akin to a form of reinforcement learning and self-correction. The article draws parallels to similar features in other AI agent systems like Hermes Agent and OpenClaw, which also implement mechanisms for reviewing historical data, extracting reusable "skills," and strengthening long-term memory. It notes a key difference from human dreaming: these AI "dreams" still consume computational resources and user tokens. Further context is provided by discussing the technical challenges of managing AI "memory" or context, highlighting the computational expense of large context windows and innovations like Subquadratic's new model claiming drastically longer contexts. The core critique argues that this strategic use of human-centric vocabulary does more than market products; it subtly reshapes user perception. By framing algorithms with terms associated with consciousness, companies blur the line between tool and autonomous entity. This linguistic shift can influence user expectations, tolerance for errors, and even perceptions of responsibility when systems fail, potentially diverting scrutiny from the companies and engineers behind the technology. The article concludes by speculating that terms like "daydreaming" for predictive task simulation might be next, continuing this trend of embedding the idea of an "inner life" into computational processes.

marsbit1 ч. назад

Your Claude Will Dream Tonight, Don't Disturb It

marsbit1 ч. назад

Торговля

Спот
Фьючерсы

Популярные статьи

Как купить T

Добро пожаловать на HTX.com! Мы сделали приобретение Threshold Network Token (T) простым и удобным. Следуйте нашему пошаговому руководству и отправляйтесь в свое крипто-путешествие.Шаг 1: Создайте аккаунт на HTXИспользуйте свой адрес электронной почты или номер телефона, чтобы зарегистрироваться и бесплатно создать аккаунт на HTX. Пройдите удобную регистрацию и откройте для себя весь функционал.Создать аккаунтШаг 2: Перейдите в Купить криптовалюту и выберите свой способ оплатыКредитная/Дебетовая Карта: Используйте свою карту Visa или Mastercard для мгновенной покупки Threshold Network Token (T).Баланс: Используйте средства с баланса вашего аккаунта HTX для простой торговли.Третьи Лица: Мы добавили популярные способы оплаты, такие как Google Pay и Apple Pay, для повышения удобства.P2P: Торгуйте напрямую с другими пользователями на HTX.Внебиржевая Торговля (OTC): Мы предлагаем индивидуальные услуги и конкурентоспособные обменные курсы для трейдеров.Шаг 3: Хранение Threshold Network Token (T)После приобретения вами Threshold Network Token (T) храните их в своем аккаунте на HTX. В качестве альтернативы вы можете отправить их куда-либо с помощью перевода в блокчейне или использовать для торговли с другими криптовалютами.Шаг 4: Торговля Threshold Network Token (T)С легкостью торгуйте Threshold Network Token (T) на спотовом рынке HTX. Просто зайдите в свой аккаунт, выберите торговую пару, совершайте сделки и следите за ними в режиме реального времени. Мы предлагаем удобный интерфейс как для начинающих, так и для опытных трейдеров.

760 просмотров всегоОпубликовано 2024.03.29Обновлено 2025.03.21

Как купить T

Обсуждения

Добро пожаловать в Сообщество HTX. Здесь вы сможете быть в курсе последних новостей о развитии платформы и получить доступ к профессиональной аналитической информации о рынке. Мнения пользователей о цене на T (T) представлены ниже.

活动图片