Why XRP’s liquidity sparks rally hopes despite 41% drawdown

ambcryptoPublished on 2026-02-20Last updated on 2026-02-20

Abstract

Despite a significant 41% price decline since January, institutional interest in XRP remains high, with it being the second-most inquired asset among advisory assets. On-chain analysis reveals that compressed liquidity conditions, similar to those during the late 2024 rally, could make it easier for large buy orders to push prices higher. Supporting this short-term bullish bias, the Taker Buy-Sell Ratio has climbed above 1, a rare occurrence that previously happened during a rally. However, declining Open Interest indicates a lack of speculative interest and that the longer-term bearish trend has not reversed. While a relief rally beyond $1.55 is possible, an upward price expansion is not guaranteed.

AMBCrypto reported that the institutional interest in Ripple [XRP] remained extremely high. It was the second-most inquired asset among advisory assets, revealed Grayscale’s Head of Product and Research, Rayhaneh Sharif-Askary.

At the same time, the high long-term selling pressure in the crypto market was evident in XRP’s price action. Since rallying to $2.41 in the first week of January, XRP has shed 41.35% in 45 days.

The exchange reserve on Upbit was building, and the $0.8 price level was the XRP target later this year. However, compressed liquidity and a rising taker buy volume argued for a short-term bullish bias.

The XRP’s potential for a rally

In a post on CryptoQuant Insights, on-chain analyst The Alchemist noted that liquidity conditions can help explain the market trends.

The liquidity USD measures the depth of capital supporting XRP markets. The rally phase in November 2024 saw a significant expansion in USD liquidity, supporting the altcoin’s expansion even higher.

It should be noted that liquidity in the AMM pool is not the cause of the rally, but helps sustain the move. It reflects market conviction. Conversely, the low liquidity conditions in recent weeks have increased the volatility sensitivity, noted the analyst.

The analyst used the reduced token-side availability during the late 2024 rally to demonstrate “reduced active supply”. Yet, it could be that the reduced liquidity was due to the AMM being forced to sell XRP for stablecoins due to the aggressive rally.

The reduced XRP liquidity can make it easier for large buy orders to move prices higher. This indicated that the compression merely reflects the effects of an aggressive rally and the impact seen on the AMM, but might not be a warning of another imminent upward price expansion.

The Open Interest continued its downward spiral. The lack of speculative interest suggested that the bearish XRP trend has not begun to reverse. Swing traders and investors can watch out for increased Open Interest to signal a bullish sentiment shift.

Interestingly, the 7-day moving average of the Taker Buy-Sell Ratio climbed to 1.01 on the 17th of February. The 7SMA going above 1 is a rare occurrence for the token and previously occurred during the early January rally.

The H4 swing structure has shifted bullishly, and the $1.41 retracement level has been tested as support. There is potential for a relief rally beyond $1.55. Traders can keep an eye on the upward momentum, but remember that the longer-term trend remains bearish.


Final Summary

  • The XRP AMM liquidity conditions during the late 2024 rally had some similarities to current conditions, but an upward price expansion is not guaranteed.
  • The Open Interest trends showed an unenthusiastic speculative trader base, while the price action underlined the potential for a short-term rally.

Related Questions

QWhat was the reported institutional interest in Ripple (XRP) according to Grayscale's Head of Product and Research?

ARayhaneh Sharif-Askary revealed that XRP was the second-most inquired asset among advisory assets, indicating extremely high institutional interest.

QHow much has XRP's price declined since its peak in early January, and over what period?

AXRP has shed 41.35% of its value in 45 days since rallying to $2.41 in the first week of January.

QAccording to the CryptoQuant Insights analyst, what is the relationship between liquidity and a market rally for XRP?

AThe analyst noted that liquidity (USD) is not the cause of a rally but helps sustain the move by reflecting market conviction. Low liquidity increases volatility sensitivity.

QWhat does a Taker Buy-Sell Ratio above 1 signify for XRP, and when was the last time this occurred?

AA 7-day moving average of the Taker Buy-Sell Ratio above 1 is a rare occurrence that signals bullish sentiment. It last happened during the early January rally and was observed again on February 17th.

QWhat are the two key factors that the final summary highlights about XRP's current market condition?

AThe summary highlights that 1) current liquidity conditions share similarities with late 2024 but do not guarantee a price rally, and 2) Open Interest shows unenthusiastic speculation while price action suggests short-term rally potential.

Related Reads

The Gold Buy-on-the-Dip Guide: Watch Interest Rates, Not Just War

"Gold Buying Guide: Focus on Interest Rates, Not Just War" Four months ago, gold buyers likely didn't anticipate buying at a peak that even a war couldn't sustain. After hitting a record high of $5,596 on January 29, gold entered a bear market just 91 days later, its fastest decline since 2008. A key trigger was the Fed's hawkish shift, highlighting that monetary policy, not geopolitics, is the primary driver. The article argues that the traditional "buy gold in turmoil" script has changed. While the US-Iran conflict initially boosted prices, the sustained rally in oil prices heightened inflation fears, forcing central banks to maintain or consider tighter policy. Since gold yields no interest, higher rates increase its opportunity cost, eroding its appeal. This dynamic was evident when gold fell sharply on May 18 despite positive peace talks, as lower oil prices eased inflation and thus rate hike pressures. The recent sell-off is also part of a broader market deleveraging. Correlations between gold, Nasdaq, and Bitcoin spiked as leveraged investors sold liquid assets to cover losses, creating a synchronized downturn. Historically, gold bottoms align with policy shifts, not conflict resolutions. The 2008 and 2022 bear markets ended with shifts to extreme easing and peak inflation expectations, respectively. For potential buyers, the author suggests monitoring three signals: 1) Peak interest rate hike expectations, 2) Reopening of the Strait of Hormuz (to ease oil/inflation pressure), and 3) A return to net inflows for Gold ETFs, indicating the end of forced selling. While predicting the exact bottom is impossible, the author's personal strategy involves scaling into a position across price levels like $4000, $3700, and $3500, committing no more than 30% of the intended total allocation initially, and adding the remainder only if key signals emerge. The core conclusion: In turbulent times, watching interest rates is more crucial than watching wars.

marsbit6m ago

The Gold Buy-on-the-Dip Guide: Watch Interest Rates, Not Just War

marsbit6m ago

Recent On-Chain Review: No Clear Narrative Under U.S. Stock Market Pressure, Just Hype

This article analyzes the current state of the Solana meme coin and community token ecosystem, highlighting a market caught between two dominant forces: attention-based PvP and a gradual return to community-centric projects. The first part explores the "Attention PvP" dynamic, where success is driven by celebrity endorsements, viral events, and speed. Examples include $JOTCHUA, which surged after its meme creator's social media activity, and $WORLDCUP, which outperformed a similar Base chain project ($PITCH) largely due to influencer support. The recent "pump.fun GO" feature, allowing bounty tasks for token promotion, is critiqued for fostering sensationalist and often negative stunts—like people getting token tickers tattooed on their bodies for rewards—reminiscent of old internet shock content. In contrast, the article points to a resurgence of organic, community-driven tokens that survive market volatility through strong holder bases and shared ideology, not just hype. Influencer Ansem is cited, arguing that durable meme coins rely on communities willing to endure losses and promote their core message daily. Examples given are older tokens like $neet (anti-work ethos), $troll, $buttcoin, and $triplet, which have maintained relative price stability. A prime example of this community-build model is the new project $KINS, the token for the browser-based MMORPG Kintara. Its success stems not from advanced graphics but from consistently delivering updates, fostering player trust, and creating genuine engagement (e.g., in-game economies, events, property auctions). It has attracted a growing player base and even notable KOLs as participants, demonstrating that sustainable growth can come from building trust rather than orchestrating pumps. The article concludes by questioning whether the market is ultimately a game of mutual trust or mutual deception, expressing hope that such reflection might lead to a healthier ecosystem.

marsbit6m ago

Recent On-Chain Review: No Clear Narrative Under U.S. Stock Market Pressure, Just Hype

marsbit6m ago

On-Chain Scene on Opening Day: $20 Billion Already Staked, How Do On-Chain Contracts Know Who Wins?

On the opening day of the 2026 World Cup, over $2 billion had already been wagered on just the "tournament winner" contracts on platforms like Polymarket and Kalshi. This article explores how these blockchain-based prediction markets actually function once the games begin. It breaks down the massive volume and explains how single-game and tournament-long contracts are priced, with values moving between 1-99 cents to reflect implied probabilities. A key mechanism highlighted is "elimination zeroing," where a team's "champion yes" contract immediately settles to zero once they are mathematically eliminated. The core technical question answered is: how does a smart contract "know" who won a real-world match? The answer lies in oracles. The article details two primary paradigms: UMA's "optimistic oracle" (used by most of Polymarket), which allows a challenge period after a proposed result, and Chainlink's multi-source data aggregation (used by FIFA partners like ADI Predictstreet), which automates settlement with minimal dispute windows. Finally, the article injects a note of caution, citing research estimating that a significant portion of historical trading volume on these platforms might be "wash trading" to inflate numbers. It concludes by contrasting the legal status of these "event contracts" under CFTC rules in the U.S. versus traditional, state-regulated sports betting. As the tournament progresses, the real-time operation of this multi-billion dollar machine—its settlements, eliminations, and underlying mechanisms—becomes a story as compelling as the football itself.

marsbit21m ago

On-Chain Scene on Opening Day: $20 Billion Already Staked, How Do On-Chain Contracts Know Who Wins?

marsbit21m ago

Sequoia Dialogue with Jensen Huang: Computing Model Undergoes a 60-Year Transformation; You Won't Be Replaced by AI, But You Will Be Dimensionality-Reduced by 'Those Who Master AI'

NVIDIA founder and CEO Jensen Huang, in a conversation with Sequoia Capital's Konstantine Buhler, argues that we are witnessing the most significant computing shift in 60 years—from retrieval-based to generative computing. Instead of just storing and retrieving data, future systems will generate highly personalized content (text, images, video) on demand, powered by massive "AI factories." Huang envisions a global "intelligence network" that will envelop the planet, following the historical patterns of energy and communication grids. He outlines a five-layer investment framework: 1) Energy, 2) Chips/Computers, 3) Infrastructure (data centers), 4) AI Models, and 5) Applications. He predicts this ecosystem will reach a scale of $20 trillion annually. Crucially, Huang pushes back against fears of AI-driven job loss. He distinguishes between specific "tasks" (e.g., typing, analyzing images) and overall "jobs" (e.g., CEO, radiologist). While AI automates tasks, it increases efficiency and demand for the higher-value problem-solving aspects of professions, thus creating more jobs and "up-leveling" careers. The real risk, he asserts, is not being replaced by AI, but being outperformed by someone who effectively leverages it. He urges everyone to embrace AI as a tool for augmented capability and innovation.

marsbit1h ago

Sequoia Dialogue with Jensen Huang: Computing Model Undergoes a 60-Year Transformation; You Won't Be Replaced by AI, But You Will Be Dimensionality-Reduced by 'Those Who Master AI'

marsbit1h ago

Trading

Spot
Futures

Hot Articles

Discussions

Welcome to the HTX Community. Here, you can stay informed about the latest platform developments and gain access to professional market insights. Users' opinions on the price of S (S) are presented below.

活动图片