Author: Gabby

CoinQuant, a no-code trading platform, has transformed into a unified intelligence hub serving both human traders and autonomous AI agents. Since its debut, the platform has attracted over 15,000 users by allowing them to convert plain-English strategy descriptions into complete algorithmic trading systems. Users can define entry and exit rules, position sizing, filters, and risk parameters without writing a single line of code.

One software engineer, Alex K., shared his experience: “I spoke one idea into CoinQuant, ran the test, and deployed a bot during my lunch break.” The platform automatically handles tick-level backtesting from verbal or written input, removing the need for technical expertise.

The latest expansion introduces agent-native infrastructure, enabling AI agents to independently deploy, test, and execute crypto trading strategies without human oversight at each step. This move places CoinQuant at the forefront of the emerging agent economy, where machine-to-machine transactions are surging. According to research firm Keyrock, AI agents conducted over 176 million blockchain transactions in the twelve months ending April 2026, settling more than $73 million.

CoinQuant is targeting a market that already hosts over a million potential autonomous trading agents active in crypto markets. The convergence of no-code strategy creation and agentic execution represents a fundamental shift in how trading strategies can be built and scaled.

The broader infrastructure for AI agents to operate as independent economic participants is rapidly maturing. Coinbase launched agentic wallets via its x402 protocol in February 2026, processing over 50 million transactions. Circle followed with its Agent Stack in May 2026, adding wallets, an agent marketplace, and nanopayments for sub-cent AI commerce. MoonPay also introduced an AI-native debit card providing agents with a stablecoin payment rail.

CoinQuant focuses on the trading strategy layer, offering the intelligence engine that allows agents to construct and execute crypto strategies without pre-coded logic. This positions the platform as a key component in the growing ecosystem of AI-driven financial infrastructure.

The tokenized real-world asset sector has reached a historic high, with on-chain valuations now exceeding $34 billion. This represents a more than sixfold increase from the roughly $5.4 billion recorded at the beginning of 2025, according to aggregated data from multiple market trackers.

Ethereum continues to dominate this space, hosting approximately 60% of all tokenized RWA value, largely driven by institutional products like BlackRock’s BUIDL fund and Ondo Finance’s tokenized offerings. The most significant contributor remains tokenized U.S. Treasuries, which alone account for nearly $15 billion in assets under management.

Market estimates from various sources, including RWA.xyz and InvestaX, show the total value locked (excluding stablecoins) ranging from $29 billion to $31.4 billion by May 2026, with the most recent figures pushing past $33.99 billion when factoring in fresh inflows. This growth trajectory is supported by reports from Securitize and public endorsements from industry leaders like Coinbase CEO Brian Armstrong, who highlights tokenization as a critical area for financial system modernization.

The tokenized Treasury market has crossed a historic milestone of $15 billion in AUM, fueled by demand from stablecoin issuers, DeFi protocols, and institutional treasuries seeking on-chain exposure to T-bills. BlackRock’s USD Institutional Digital Liquidity Fund (BUIDL) has emerged as the flagship, surpassing $2 billion in AUM through its secure tokenization of U.S. Treasury bills and repurchase agreements.

Beyond Treasuries, the RWA spectrum has expanded to include commodities, private credit, and tokenized equities. Ondo Finance’s Global Markets platform has exceeded $1 billion in total value locked, becoming one of the fastest-growing tokenization products. Meanwhile, private credit platforms are tokenizing trade finance and SMEs loans, while niche assets like music royalties are also gaining traction, with over 700,000 distinct asset holders recorded.

Analysts project that if current adoption and regulatory clarity persist, the represented asset value behind these tokens could scale into the tens of trillions by 2030, cementing tokenized RWAs as a fundamental pillar of on-chain finance.

Stanford cryptographer Dan Boneh has weighed in on the ongoing debate about Bitcoin’s quantum resistance, urging the community not to panic but also not to ignore the long-term risks. In a recent interview highlighted by Isabel Foxen Duke, Boneh emphasized that a hasty migration to post-quantum cryptography could introduce more problems than it solves.

According to Boneh, the bigger immediate danger is not a quantum attack but a buggy transition. He stated that an aggressive move to a post-quantum architecture by 2029 would likely be a mistake, as the probability of a catastrophic error during migration is higher than the chance of a quantum computer targeting Bitcoin.

The discussion gained urgency following a March 2026 paper from Google Quantum AI, co-authored by Boneh, which suggested that Shor’s algorithm could break Bitcoin’s secp256k1 curve using around 1,200 logical qubits and fewer than 500,000 physical qubits under certain conditions. Boneh noted that while these estimates are significant, a cryptographically relevant quantum computer before 2035 remains possible but not certain under current funding levels.

The debate has spilled into Bitcoin governance with proposals like BIP 361, which aims to phase out legacy signatures. Boneh criticized compressed migration windows, arguing that such proposals need more complete design work and time. He advocated for hybrid signatures that combine existing elliptic curve cryptography with post-quantum schemes, preferring lattice-based signatures over hash-based designs due to their flexibility for threshold signatures and future innovation.

Boneh’s stance aligns with broader industry calls for preparation without panic. He insisted that Bitcoin can survive quantum risk and dismissed claims to the contrary as unfounded, pointing to known paths like moving users to post-quantum addresses and gradually phasing out vulnerable legacy systems.

The Wadoozie project officially activated its Ethereum-based signal network on May 27, marking the debut of its $WADZ ERC-20 token through a fair launch on Uniswap. This launch avoids any presale, private round, insider allocations, or transaction taxes, ensuring equal access for all participants. Out of the initial two billion tokens minted, roughly one billion were burned, leaving an effective circulating supply of approximately one billion. The majority of this supply—75%—is locked in a DAO-managed liquidity pool paired with ETH, with no individual wallets able to withdraw it.

In conjunction with the token launch, Wadoozie is embarking on a 48-state US road tour that begins in Austin and concludes in New Orleans, with plans to expand to Europe afterward. The tour is divided into eight narrative acts, each featuring the placement of seven physical Signal Fragments per state: one Legendary, one Rare, one Uncommon, and four Common. These fragments, totaling 576 across all states, can be redeemed on-chain for fixed amounts of $WADZ. Legendary fragments yield 461,250 tokens, while Common fragments offer 15,375 tokens, distributing around 34.7 million $WADZ to community members who locate them.

Token allocation includes 7% for a Publishers Network to support creators, 5% for the Signal Fragment prize pool, and 3% for the team, which is fully locked for 12 months. All smart contracts received audits from CertiK via Skynet, as well as Coinsult and SolidProof prior to the launch. As speculative interest in Ethereum-based meme tokens persists in 2026, the Wadoozie launch taps into this trend while integrating a unique real-world treasure hunt element.

The futures netflow for Shiba Inu has experienced a dramatic 306% decline, according to the latest data from CoinGlass. This significant drop indicates that outflows from derivatives exchange wallets have vastly surpassed inflows, reflecting a notable shift in trader behavior within the perpetual futures market.

This steep negative netflow suggests that derivatives traders are actively closing positions and reducing their exposure to Shiba Inu rather than initiating new leveraged trades. Currently, the open interest in SHIB futures stands at $61.2 million, while approximately $42,485 worth of SHIB positions were liquidated over the past 24 hours, underscoring the prevailing bearish sentiment.

While a negative futures netflow does not necessarily foreshadow an immediate price decline, it does highlight a diminished appetite among traders to maintain derivative positions in Shiba Inu at current valuation levels. At the time of reporting, SHIB was trading near $0.00000575, marking a roughly 54% decline over the last year from its peak around $0.000012. The token has recently breached a critical support level near $0.0000054, stirring concerns among analysts about a potential retest of lows seen in March 2026.

Earlier this month, Crypto.news noted an influx of over 3 billion SHIB tokens onto exchanges in a single session, adding to sell-side pressure as broader market liquidations accelerated. The combination of negative futures flow and exchange inflows suggests that holders are repositioning rather than accumulating. Previous coverage by Crypto.news has also highlighted how declining futures open interest and funding rate pressures have already signaled waning conviction among derivatives traders since early 2026.

As the U.S. Memorial Day holiday weekend approaches, these futures market indicators raise questions about Shiba Inu’s near-term price trajectory. The SHIB price page offers live updates as traders assess the implications of this data for the token’s direction.

An onchain investigation by Bubblemaps has uncovered that a prominent trader connected to the so-called “10/10 whale” has suffered a staggering $128 million net loss, despite previously securing nine-figure profits. The wallet cluster, associated with former BitForex CEO Garrett Jin through onchain analysis, reportedly made around $100 million by shorting Bitcoin during the October 10, 2025 flash crash triggered by unexpected tariff announcements. However, subsequent aggressive long positions on Ethereum (ETH) using high leverage on Hyperliquid resulted in realized losses exceeding $200 million, completely wiping out earlier gains. Bubblemaps noted that had the trader simply held onto Bitcoin and avoided ETH altogether, the portfolio would have shown a profit of over $70 million. Instead, a series of outsized ETH longs—some with 50x leverage—led to repeated liquidations, with the protocol itself absorbing a $4 million deficit from insurance fund slippage during one such event. The same cluster has now returned to Hyperliquid, depositing fresh collateral, buying $10 million worth of HYPE tokens, and opening a $38 million short position on Zcash (ZEC). This behavior mirrors patterns seen in other high-frequency traders who alternate between spectacular wins and devastating losses, highlighting the risks of overconfidence and leverage in crypto markets. The saga underscores how a few large accounts can distort funding rates and liquidity, especially when they pivot from dominant short positions to extended long bets on volatile assets like ETH, HYPE, or ZEC.

Blockchain intelligence firm Arkham has sparked debate by revealing it can identify parties behind over half of Zcash transactions. The company claims to have tagged more than 53% of all ZEC activity, attributing roughly $420 billion in volume to known entities. This research surfaced in December 2025, prompting renewed scrutiny of Zcash’s privacy model.

Arkham’s analysis covers 48% of transaction inputs and outputs and ties about $2.5 billion, or 37% of total ZEC balances, to named individuals and institutions. Importantly, the firm did not break Zcash’s cryptographic protections. Instead, it used entity clustering, exchange records, government seizure data, and analysis of transparent addresses to link on-chain activity to real-world actors.

Zcash founder Zooko Wilcox responded by clarifying that shielded-to-shielded transactions remain fully private. He stated that Arkham did not actually deanonymize any ZEC held in the shielded pool because such tracking is impossible—the necessary information simply does not exist. The key distinction lies between transparent addresses (T-addresses), which are publicly visible, and shielded addresses (Z-addresses), which use zero-knowledge proofs to hide sender, recipient, and amount.

As of late 2025, less than a quarter of all ZEC in circulation was stored in the shielded pool. The majority of activity occurs on transparent addresses, particularly on centralized exchanges that nearly always use T-addresses. This means that until shielded pool usage grows significantly, behavioral analysis of transparent transactions remains feasible for most network activity.

The controversy resurfaced in May 2026 as ZEC rallied sharply, driven by quantum computing concerns and the upcoming NU7 network upgrade. The newer Orchard shielded pool provides stronger privacy guarantees than the older Sapling pool, but it still holds a minority of ZEC activity. Until shielded usage expands, Arkham-style tracking will remain possible for the majority of transactions.