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Why XRP Could Still Dip Below $1, Analysts Explain

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XRP (CRYPTO: XRP) has retraced nearly 63% from its multi-year high of $3.66 to around $1.36 as of Wednesday, a move that market analysts say could carry bearish implications unless buyers reassert themselves. The slide comes amid a confluence of technical signals and growing on-chain activity that could either reinforce a near-term downshift or set the stage for a stubborn reversal. Traders are weighing a technical setup that points toward further pressure against a backdrop of sustained demand from spot XRP ETFs and persistent whale accumulation, painting a nuanced picture for the digital asset’s near-term trajectory. The Gaussian Channel, a charting method used to identify trends and potential support or resistance levels, places XRP at a crossroads where previous patterning has often dictated the tempo of subsequent moves.

Key takeaways

  • The price action has broken below a critical zone near $1.40, aligning with a bearish setup that could extend losses toward the $0.70–$1 range if support fails.
  • The Gaussian Channel shows the upper regression band near $1.16 and the middle band around $0.70, suggesting that a test of important structural levels could unfold over the coming weeks or months.
  • A drop below the local low of $1.12 would validate the bearish scenario described by market technicians, potentially accelerating the downside case.
  • Spot XRP ETF inflows have continued, with cumulative net inflows reaching about $1.01 billion and inflows of roughly $3.26 million on a single day, underscoring ongoing institutional interest.
  • On-chain activity has picked up, with whale transactions exceeding $100,000 and active addresses surging to a six-month high, signaling that buyers remain engaged despite the price decline.
  • Nevertheless, persistent ETF demand and on-chain signals could counterbalance the technical headwinds if liquidity conditions remain favorable and market sentiment improves.

Tickers mentioned: $XRP, $BTC, $ETH

Sentiment: Bearish

Price impact: Negative. A break below key supports could push XRP toward the mid-band around $0.70, extending the downside unless buyers step in.

Trading idea (Not Financial Advice): Hold. Near-term risk remains elevated if $1.12 fails, but renewals in ETF inflows and on-chain activity keep the scene cautiously balanced.

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Market context: The XRP market remains closely tethered to liquidity flows from spot XRP ETFs and evolving on-chain activity. Spot XRP ETF inflows have continued, contributing to roughly $1.01 billion in cumulative net inflows and sustaining roughly $1.01 billion in assets under management, with daily inflows of millions that underscore ongoing institutional interest. At the same time, on-chain dynamics have shown resilience, with whale activity and active addresses rising even as price action remains under pressure. These factors collectively reflect a broader environment where ETF-driven demand can offset, at least temporarily, technical headwinds.

Why it matters

For investors watching XRP, the current setup matters because it juxtaposes a stubborn price decline with stubborn liquidity support. The Gaussian Channel’s readings imply that XRP could oscillate within a defined corridor before a decisive breakout or breakdown occurs. If the upper band near $1.16 acts as a temporary ceiling and the price fails to hold above the lower levels, the drawdown could extend toward the $0.70–$1 region, a zone that previously lacked robust testing for sustained support. Such a breach would be meaningful not just for XRP bulls and bears but for funds and institutions tracking the asset as part of broader crypto exposure. The dynamics of ETF flows, as observed in late-2025 through 2026, emphasize that institutional demand can create a buffer against rapid declines, but they are not a guarantee against further losses if macro conditions or sentiment deteriorate.

“The middle regression band currently ties up around $0.70, which is also a previous year-long resistance level seen back in 2023/2024, and hasn’t been backtested for support.”

On the liquidity side, the market has benefitted from a steady stream of ETF inflows. The Canary XRP ETF launch, which began late in 2025, has contributed to a trajectory of inflows that has pushed the cumulative total higher, with the latest daily inflows evidencing continued demand from institutional players. This flow is not a panacea for price declines, but it argues for a more nuanced outlook than a pure technical read would suggest. Meanwhile, on-chain metrics paint an equally important portrait. Analysts have highlighted a surge in XRP activity: whale transactions of over $100,000 and a spike in active addresses have suggested that sector participants remain engaged and are deploying capital despite adverse price movements. These signals can be precursors to a bottom or a renewed uptrend, depending on whether they align with broader market liquidity and risk appetite.

Analysts have also cited the importance of the price level around $1.12. A move below that local low could be a technical confirmation of the bearish scenario, triggering a cascade of downside protections and prompting a reevaluation of risk parity in XRP portfolios. Conversely, if ETF inflows persist and on-chain activity maintains its strength, XRP could find a foundation and attempt a staged recovery as liquidity conditions improve and risk sentiment stabilizes. The tension between price-driven momentum and liquidity-driven demand is a defining feature of XRP’s current phase, and market participants are closely watching both channels for signals of the next major move.

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As the market weighs these factors, the broader crypto environment remains cautious. The behavior of BTC and ETH—often a barometer for risk sentiment—has a bearing on how XRP will respond to developing macro cues and regulatory dynamics. Although XRP has decoupled at times from the broader market, the path of least resistance in the near term could be influenced by the balance between selling pressure at technical resistance and fresh inflows that sustain institutions’ appetite for XRP exposure.

What to watch next

  • Monitoring XRP’s level relative to the $1.12 local low to gauge whether the bearish scenario gains traction.
  • Tracking the Gaussian Channel bands around $1.16 (upper) and $0.70 (middle) for potential testing or breakout signals.
  • Observing ongoing spot XRP ETF inflows and AUM, which could widen the collision between technical resistance and liquidity-driven strength.
  • Watching on-chain metrics, especially the trajectory of whale transactions and daily active addresses, for signs of renewed accumulation or distribution.

Sources & verification

  • Chart Nerd’s analysis on Gaussian Channel fractals and XRP price projections referenced in a social post.
  • Discussion on XRP price movement below the 1.60 level and potential downside scenarios.
  • Canary XRP ETF launch and the resulting inflow data, including cumulative inflows and daily inflows feeding assets under management.
  • Santiment’s reports on whale activity, large XRP transactions, and address activity as a measure of on-chain demand.

Market reaction and key details

The current XRP setup binds a bear-case price scenario to a backdrop of ongoing ETF inflows and active on-chain participation. While the price remains under pressure, the inflows into spot XRP ETFs and sustained whale engagement provide a counterbalancing force that could underpin a bottom if liquidity remains ample and risk appetite stabilizes. The path forward will likely hinge on whether XRP can stabilize above critical support levels and whether on-chain signals translate into durable buying interest.

What to watch next

  • Whether XRP can hold above $1.12 on a closing basis, which would delay a deeper pullback.
  • How ETF inflows trend over the next several sessions and whether AUM surpasses the $1.05–$1.10 billion range.
  • Any new regulatory or product developments affecting XRP ETFs or custodial structures that could influence liquidity and investor confidence.

Risk & affiliate notice: Crypto assets are volatile and capital is at risk. This article may contain affiliate links. Read full disclosure

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Rising XRP Whales Tighten Risk-Reward, Foreshadow Price Move

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XRP’s risk-adjusted performance turned modestly positive on March 26, marking a shift after months of flat-to-negative readings. A 30-day average return of 0.00063 accompanies a Sharpe ratio of 0.0267, suggesting that current gains are modest but still outpaced by risk. On-chain data shows persistent accumulation by large holders, implying underlying demand even as price action remains subdued.

Analysts point to a broader pattern: on-chain buying and a slowly improving risk profile could set the stage for a steadier path higher, even if price upside remains constrained in the near term.

Key takeaways

  • The XRP Sharpe ratio moved into positive territory for the first time in months on March 26, supported by a 30-day average return of 0.00063.
  • Whale activity has remained firm, with CryptoQuant data showing XRP inflows averaging about $9 million per day over the last 30 days, continuing a pronounced accumulation phase that began in late February.
  • Open interest surged 14.8% in the 24 hours to March 26, signaling renewed trader participation, alongside repeated long-liquidation spikes above $2 million in recent sessions.
  • XRP’s price structure has shifted to a bearish bias: the asset invalidated its previously bullish ascending triangle and shed about 13.63% over ten days, with near-term support at $1.27 and a yearly low near $1.11 in focus.
  • Past patterns suggest that prolonged accumulation can precede stronger upside, as seen in Q2 2025 when accumulation preceded a rally to a $3.65 high on July 18, 2025; watchers will want to see if the current phase leads to a similar outcome.

Positive risk-adjusted returns amid on-chain demand

CryptoQuant-derived data indicate that XRP’s improved risk-adjusted profile aligns with a pickup in trading activity. Arab Chain, in a CryptoQuant quicktake, framed the recent Sharpe ratio improvement as part of a gradual rebalancing that could limit downside for holders. However, the analyst cautioned that a return to negative territory would signal renewed volatility and fading momentum.

“If the indicator falls back into negative territory, it could signal a return of volatility and weakening momentum.”

While the short-term signals point to hedged risk, the long-run picture suggests a more constructive tilt if accumulation continues. The last substantial accumulation wave in Q2 2025 culminated in XRP’s expansion rally to an all-time high of $3.65 on July 18, 2025, underscoring how inflows can precede meaningful upside in subsequent months.

Whale flows and market momentum

On-chain trackers show that XRP whale inflows have remained robust, with the 30-day moving average holding around $9 million per day. The sustained demand has persisted since February 27, marking the longest accumulation stretch in months and echoing a broader pattern seen during prior cycles when whales stepped in ahead of bigger price moves.

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That trend matters for investors because it points to durable demand that could underpin market returns even if price volatility remains elevated. The question for traders is whether this accumulation translates into sustained upside or simply supports a slower drift higher as macro and liquidity conditions evolve.

Open interest and near-term technicals

Open interest figures reinforce a market where risk is being actively recycled. CryptoQuant data show a 14.8% rise in 24-hour open interest on March 26, the strongest such move since March 4, reflecting renewed participation from long and short positions and a pattern of consecutive long liquidations—$2.5 million on March 18, roughly $2.45 million on March 21, and about $2.15 million on March 26.

From a price-structure perspective, XRP has broken from a bullish ascending triangle, and the prior ten-day slide of around 13.6% points to a bearish bias in the near term. If the current dynamic persists, traders will likely test support around $1.27, with a deeper look toward the yearly low near $1.11 in the weeks ahead.

The combination of a positive risk-adjusted metric and steady whale inflows paints a nuanced picture: a market where demand is accumulating even as prices wobble, potentially laying a groundwork for a more durable move if buyers sustain their activity.

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Looking ahead, buyers will want to see whether the positive risk-adjusted read holds and whether whale demand remains steady. The next critical junctures to watch include whether XRP can sustain levels above near-term support and whether accumulation pulses continue to shape the risk landscape in the coming weeks.

Past patterns offer a useful lens: the accumulation phase seen in Q2 2025 preceded a rally to an all-time high later that year, suggesting that continued demand could precede stronger upside if sustained by shifting market dynamics.

Looking ahead, traders will watch if the positive risk-adjusted reads endure and whether whale accumulation remains steady; a sustained move higher will depend on whether demand translates into durable upside beyond the near-term support.

Risk & affiliate notice: Crypto assets are volatile and capital is at risk. This article may contain affiliate links. Read full disclosure

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MetaComp Upgrades StableX for AI-Driven Hybrid Finance

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Key Insights

  • MetaComp launches AI-driven StableX upgrade to unify compliance, payments, and digital asset operations
  • VisionX engine strengthens AML/CFT with multi-layer analytics and near-zero false clean rates
  • AgentX and KYA enable regulated AI automation across payments, treasury, and compliance workflows

Singapore-based MetaComp has introduced major upgrades to its StableX Network, aiming to strengthen compliance, payments, and wealth management across fiat and stablecoin systems. The move positions StableX as a compliance-first platform designed to bridge traditional finance and digital assets.

The upgrade integrates three core components: VisionX Engine, AgentX AI layer, and the KYA governance framework, focused on enabling regulated, AI-driven financial infrastructure.

VisionX Engine Enhances AML/CFT Monitoring

The Web2.5 VisionX Engine delivers multi-layered risk monitoring across identity, behavior, and network levels. Identity screening combines traditional KYC data with Web3 wallet intelligence, while behavioral analysis detects transaction anomalies.

Network screening highlights the concealed counterparty risks, offering a closer supervision of the flow of transactions. MetaComp said parallel screening across four blockchain analytics providers reduces false clean rates from around 25% to near zero.

The system supports both cross-border payments and digital asset transactions, allowing institutions to maintain compliance with global AML/CFT requirements.

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AgentX Powers AI Financial Execution

AgentX serves as the platform’s AI execution layer, enabling autonomous financial operations. AI agents can handle transactions, detect risks and perform operations on fiat and crypto systems.

The layer enables AI-to-AI communication, enabling automated processes in the payment, treasury and compliance operations. The most important characteristics are real-time transaction intelligence, wallet screening, compliance integration, and a modular and protocol-agnostic infrastructure.

The initial implementation, Agentic KYT, is concerned with the monitoring of transactions as an AML/CFT compliance, which expands the automation of regulation.

KYA Framework Governs AI Activity

The KYA (Know Your Agent) framework provides a regulatory mechanism over AI agents in financial systems. It ensures that AI-based processes are auditable and compliant with regulatory standards.

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MetaComp observed that Singapore Model AI Governance Framework is consistent with the given framework, and it helps to responsibly deploy agentic AI in financial services.

AI-Native Automation and Expansion Plans

Together, AgentX and KYA enable AI-native financial automation, allowing intelligent agents to independently manage payments, treasury, and compliance while remaining regulated.

The upgrade is after the $35 million Pre-A round at MetaComp. The company will increase the penetration of StableX in the Asian, Middle East, African and Latin American markets to attract the use by institutions.

MetaComp also published a whitepaper called Cross-Border Payments for SMEs: Voices in ASEAN and the Rise of Stablecoins, which states that the stablecoin is increasingly becoming an important part of enhancing the efficiency of payment.

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How AI Agents Can Reshape Arbitrage in Prediction Markets

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How AI Agents Can Reshape Arbitrage in Prediction Markets

Prediction markets aggregate human judgment in theory, but some of their consistent trading opportunities may end up captured by systems that move faster than any person can.

Arbitrage opportunities can show up as brief mispricings, from outcomes that temporarily fail to sum up to 100%, to short delays in how quickly markets react to new information.

Rodrigo Coelho, CEO of Edge & Node, said bots are already scanning hundreds of markets per second, a role that increasingly overlaps with more advanced AI-driven agents.

“Capturing those opportunities requires monitoring thousands of markets and executing trades almost instantly, which is why they’re largely dominated by automated systems,” Coelho told Cointelegraph.

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That makes prediction markets a natural next step for AI-driven systems built to exploit short-lived pricing gaps without human input.

AI agents can target brief gaps in prediction markets. Source: Rohan Paul

Arbitrage mechanics in prediction markets

Bitcoin and crypto prices haven’t been performing well recently, with BitMine’s Tom Lee calling the current sentiment a “mini-crypto winter.” Meanwhile, prediction markets have emerged as venues where users can bet to profit independently of broader economic conditions.

The rise of prediction markets has also seen opportunities such as what Coelho calls “latency arbitrage,” which rely on short windows too narrow for humans to manually target. He told Cointelegraph:

If there’s even a few-second delay between an event happening and the market updating, bots scan for that and place bets on the correct outcome. For that window, they have a 100% guaranteed win.”

A recent study found that Polymarket exhibits frequent pricing inconsistencies, allowing traders to construct arbitrage positions. These opportunities arise both within individual markets, where probabilities don’t sum to 100%, and across related markets with inconsistent pricing. The researchers estimated that roughly $40 million has been extracted from these inefficiencies.

Academic researchers present their findings at the International Conference on Advances in Financial Technologies. Source: CyLab/YouTube

Prediction markets are still nascent, but their technology has been improving as well. For example, Polymarket recently introduced taker fees to increase trading costs. Outcomes aren’t finalized immediately, making these strategies less reliable and not always profitable.

AI agents could amplify market manipulation risks

Aside from arbitrage, AI agents could increasingly take over activity in prediction markets, raising concerns that automated systems may replicate the same behaviors seen from humans. They are trained on human activity, after all. 

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Coelho pointed out that large players can influence outcomes by placing sizable bets on one side, and that more advanced agents could exploit similar dynamics at scale.

“If you have a large pool of money and the market is thin, you can bet on one side and sway the market, like we saw in the election when some French guy put in like [$45 million] on Donald Trump winning,” he said.

Polymarket’s open interest was highest around October and early November of 2024, during the US elections, according to Dune Analytics data. Following a sharp initial decline, it has continued to surge in popularity, with politics leading as the most popular topic, followed by sports and crypto.

Polymarket’s open interest is nearing 2024 election levels. Source: datadashboards/Dune Analytics

Related: Federal regulation looms as 11 states go after prediction markets

Pranav Maheshwari, engineer at Edge & Node, said the rapid improvement of AI agents alongside prediction markets makes such risks more urgent and called for guardrails.

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“Up until now, AI agents have medium capability and we give them a lot of permissions. With this medium capability, they have already started acting autonomously,” Maheshwari told Cointelegraph.

But in the future, AI agents will have really high capabilities. When it has really high capabilities as humans, you have to restrict their permissions.”

From execution bots to AI-driven systems

Trading itself is undergoing a shift, as automation moves from simple execution bots to more advanced, AI-assisted systems capable of identifying and acting on opportunities in real time.

The systems currently used to exploit market inefficiencies remain largely rule-based, but the tools behind them are evolving.

Archie Chaudhury, CEO of LayerLens, said most retail participants are not using AI agents directly, relying instead on chatbot interfaces like ChatGPT or Gemini for research, while more advanced users are beginning to experiment with automation.

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“Some of us simply use coding agents such as Claude Code to create automated bots or algorithms for executing trades, while others take it a step further, using autonomous tools such as OpenClaw to enable the automatic execution of trades and other policies,” he told Cointelegraph.

Related: Do Super Bowl ads predict a bubble? Dot-coms, crypto and now AI

As AI literacy among retail traders rises, agents could broaden access to strategies that were previously limited to institutions, according to Chaudhury. However, this does not eliminate competition, and large institutions are already using AI, though not always publicly.

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He added that existing large language model architectures are well suited to interpreting structured financial data, which could lower the technical barrier for building trading systems that would have previously required specialized quantitative expertise.

The same dynamics are already visible across crypto markets, where arbitrage increasingly depends on automation rather than human judgment. As these systems evolve, the edge is shifting execution speed. Those leaning on AI and automation have a clear edge over those that don’t.

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