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Pi Network sets April 6 node deadline as protocol 21 goes live

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PI price chart | Source: TradingView

Pi Network has started its second migration phase with the required Protocol 21 upgrade. The update sets an April 6 deadline for mainnet node operators and opens the path toward later upgrades that aim to add smart contracts and DeFi tools.

Summary

  • Pi Network requires mainnet nodes to upgrade to Protocol 21.2 before the April 6 deadline.
  • The roadmap schedules Protocol 22.1 for April and smart contract features for the May rollout.
  • Pi traded near $0.174 as RSI and MACD signaled weak momentum and sellers still controlled.

The move also comes as Pi’s token trades near $0.174, far below its all-time high. At the same time, chart indicators show weak momentum as the market waits for the next stage of network changes.

Pi Network has moved from Protocol 20.2 to version 21.2 as part of its second migration phase. The Pi Core Team said all mainnet node operators must complete the upgrade before April 6 to remain connected to the network.

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The update focuses on network stability and better node efficiency. It aims to help the system handle heavier traffic while keeping nodes synchronized across the mainnet.

The team warned that nodes that miss the April 6 deadline may lose network connection. That notice places direct pressure on node operators to update their software on time and avoid disruption.

Pi Network framed Protocol 21 as a base layer for future features rather than a full feature release. While new tools will arrive in stages, the current step prepares the network for broader functionality in later protocol versions.

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According to the roadmap shared by the Pi team, Protocol 22.1 is scheduled for April 22. Protocol 23.0 is expected to follow on May 18 as the network moves toward smart contract support.

The roadmap also lists features tied to that transition, including a Pi DEX, on-chain liquidity tools, and broader support for decentralized applications. The stated goal is to improve transaction flow and expand network use cases for its user base.

Pi price holds weak tone as traders track indicators

Pi coin traded around $0.174 at the time of reporting, about 78% below its all-time high. That price level reflects a market that remains cautious even as the network moves ahead with technical upgrades.

PI price chart | Source: TradingView
PI price chart | Source: TradingView

Daily chart indicators showed a soft bearish setup. The RSI stood at 45.29, below both the neutral 50 mark and its moving average of 47.54, which pointed to weak momentum without oversold conditions. 

The MACD line remained below the signal line, while the negative histogram showed that sellers still held control, though downside pressure had started to ease.

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Crypto World

Rising XRP Whales Tighten Risk-Reward, Foreshadow Price Move

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Crypto Breaking News

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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Crypto Breaking News

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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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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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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