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13 Apr 2026, 13:31
Black Swan Capitalist: What Determines Whether XRP Will Hit $1000
Vandell Aljarrah, co-founder of Black Swan Capitalist, has addressed one of the most debated questions in the cryptocurrency market: Can XRP reach $1,000 in the long term? In a recent video shared on X, Aljarrah delivered a structured explanation rooted in economic principles and market dynamics. His analysis focused on probability, supply and demand, and the long-term trajectory of digital assets. Aljarrah emphasized that the discussion should rely on factual economic concepts rather than speculation. His message centered on understanding the forces that dictate asset prices over time, particularly within the evolving digital economy. Will XRP Hit $1,000 in the long-term? The dynamics that dictate price. Listen carefully. pic.twitter.com/tgXYNnuiVA — Vandell | Black Swan Capitalist (@vandell33) April 11, 2026 Fiat Debasement and Asset Appreciation According to Aljarrah, the nature of fiat currencies plays a significant role in shaping long-term price potential. He explained that currencies used to measure asset values continue to lose purchasing power over time. This dynamic naturally supports higher valuations for scarce assets . He stated, “If the fiat currency used to price and measure assets has no floor, no bottom, then that means the assets measured in that fiat currency don’t really have a fixed ceiling.” This principle forms the foundation of his long-term outlook. It highlights how monetary expansion can influence the valuation of digital assets such as XRP. From a probability-based perspective, Aljarrah acknowledged the possibility of extreme price levels. He noted that XRP could eventually reach $1,000 or more over an extended period, provided that favorable conditions persist. Supply, Demand, and XRP’s Limited Supply Aljarrah identified supply and demand as the primary drivers of price. He emphasized that XRP’s limited supply contributes to its long-term investment appeal. This scarcity, combined with sustained demand, establishes a foundation for potential appreciation. He explained that demand originates from both retail investors and institutional participants. Market speculation and real-world utility both play essential roles in shaping price movements. These factors collectively influence the trajectory of digital assets . We are on X, follow us to connect with us :- @TimesTabloid1 — TimesTabloid (@TimesTabloid1) June 15, 2025 Despite periods of volatility, Aljarrah maintained that long-term trends remain intact when underlying conditions remain favorable. He stated that digital assets have historically demonstrated growth driven by macroeconomic forces and increasing adoption. Long-Term Expectations Aljarrah clarified that his analysis reflects probabilities rather than guarantees. He stressed that timelines remain uncertain, noting that such milestones could take years or even decades to materialize . He summarized this uncertainty by stating, “The real question isn’t if it can, it’s when.” He also emphasized the importance of strategic positioning. Investors, he explained, should focus on understanding market fundamentals and preparing for future opportunities. By concentrating on supply, demand, and macroeconomic trends, participants can better navigate the market. Disclaimer : This content is meant to inform and should not be considered financial advice. The views expressed in this article may include the author’s personal opinions and do not represent Times Tabloid’s opinion. Readers are advised to conduct thorough research before making any investment decisions. Any action taken by the reader is strictly at their own risk. Times Tabloid is not responsible for any financial losses. Follow us on X , Facebook , Telegram , and Google News The post Black Swan Capitalist: What Determines Whether XRP Will Hit $1000 appeared first on Times Tabloid .
13 Apr 2026, 13:30
XRP Social FUD Nears 2-Year High—Contrarian Signal Brewing?
Data shows the XRP social media sentiment has dropped to its third-worst level in the past two years, a sign that the crowd has turned bearish on the asset. XRP Positive/Negative Sentiment Has Declined Recently According to data from on-chain analytics firm Santiment, the Positive/Negative Sentiment has plummeted for XRP. This indicator tells us about how the degree of positive sentiment surrounding a given asset compares to that of the negative one on major social media platforms. Related Reading: Bitcoin Surges To $72,000, But Remains Stuck In Key Supply Zone The metric works by filtering for social media posts/threads/messages containing mentions of the asset and putting them through a machine-learning algorithm to separate between bullish and bearish comments. Then, it counts up the number of each and finds their ratio. Now, here is the chart shared by Santiment that shows the trend in the Positive/Negative Sentiment for XRP over the last couple of years: As displayed in the above graph, the XRP Positive/Negative Sentiment shot up to high levels in December and January, implying that social media users became optimistic about a market turnaround following a pause in the bearish momentum. This optimism, however, didn’t pay off as the price drawdown picked back up at the end of January. While sentiment initially deteriorated after this decline, the dominance of positive posts returned again, although to a notably lower degree than the earlier highs. This suggests that social media users still didn’t entirely turn bearish about the cryptocurrency. That is, until the past week rolled around. From the chart, it’s visible that the Positive/Negative Sentiment has plummeted for XRP, a potential sign that the drawn-out consolidation has finally broken trader conviction. Currently, the metric is sitting at 1.02, which suggests that there are about as many positive posts related to the asset as negative ones. While this still doesn’t signal an outright shift to a bearish dominance, it’s still a pretty low level when compared to the last two years. “According to our weekly social data for crypto’s #4 market cap, FUD is at its 3rd highest point in the past 2 years,” noted the analytics firm. The two instances in this window where a bearish mentality was more dominant occurred in February and October of last year. Both of these led to price rebounds. This is actually a pattern that has been witnessed time and again in digital asset markets: prices often move against the expectations of the majority. Related Reading: Top Toncoin Whales Silently Accumulate 189,730 TON Despite Market Weakness The effect tends to be the strongest inside the “FUD” and “FOMO” zones highlighted by Santiment in the chart. The latest decline in the Positive/Negative Sentiment has taken XRP into the former of the two regions. “Historically, when bullish comments get replaced by this level of bearish ones, the probability of a relief rally climbs significantly higher,” explained the analytics firm. XRP Price At the time of writing, XRP is floating around $1.32, down 1% in the last seven days. Featured image from Dall-E, chart from TradingView.com
13 Apr 2026, 13:30
Researchers Warn Malicious AI Agent Routers Could Become a New Crypto Theft Vector
University of California researchers have identified a new class of infrastructure-level attack capable of draining crypto wallets and injecting malicious code into developer environments – and this crypto theft already happened in the wild. A systematic study published on arXiv on April 8, 2026, titled “Measuring Malicious Intermediary Attacks on the LLM Supply Chain,” tested 428 AI API routers and found that 9 actively injected malicious code, 17 accessed researcher AWS credentials, and at least one free router successfully drained ETH from a researcher-controlled private key. The attack surface is the AI agent routing layer – infrastructure that has expanded rapidly as AI agents become embedded in blockchain execution workflows . The question is no longer whether this threat is theoretical. The question is how many compromised routers are already handling live user sessions. Key Takeaways: Scale of testing: Researchers tested 428 routers – 28 paid (sourced from Taobao, Xianyu, Shopify) and 400 free from public communities – using decoy AWS Canary credentials and encrypted crypto private keys. Confirmed malicious activity: 9 routers injected malicious code, 17 accessed AWS credentials, and 1 free router drained ETH from a researcher-owned wallet. Evasion sophistication: 2 routers deployed adaptive evasion, including waiting 50 API calls before activating and specifically targeting YOLO-mode autonomous sessions. Attack mechanism: Routers operate as application-layer proxies with plaintext JSON access – no encryption standard governs what they can read or modify in transit. Poisoning reach: Leaked OpenAI keys processed 2.1 billion tokens, exposing 99 credentials across 440 Codex sessions and 401 autonomous YOLO-mode sessions. Recommended defenses: Researchers urge client-side fault-closure gates, response anomaly filtering, append-only audit logging, and cryptographic signing for verifiable LLM responses. Discover: Top Crypto Presales to Watch This Month How Malicious AI Agent Routers Actually Work – Plaintext Proxies, Not Encrypted Pipes Standard LLM API infrastructure was designed for simple request-response relay: a client sends a prompt, the router forwards it to the model provider, the response comes back. Malicious routers exploit exactly that trust model – they sit as application-layer proxies in the middle of that exchange, with full read-write access to plaintext JSON payloads passing through them in both directions. There are no encryption standards governing what a router can inspect or modify in transit. A malicious router sees the raw prompt, the model response, and everything embedded in either – including private keys, API credentials, wallet seed phrases, or code being generated for a live deployment environment. It can alter the response before it reaches the user, inject additional code into a code-generation output, or silently exfiltrate credentials to an external endpoint. The UC researchers built an agent they called “Mine” to simulate four distinct attack types against public frameworks, specifically targeting autonomous YOLO-mode sessions where the agent executes actions without human confirmation at each step. Two of the 428 routers tested deployed adaptive evasion – one waited 50 API calls before activating malicious behavior, specifically to avoid detection during initial testing. That’s not a blunt credential-scraper. That’s a targeted tool built to survive scrutiny. The poisoning attack vector compounds the risk further. When leaked OpenAI API keys are processed through compromised routing infrastructure, the blast radius scales fast – 2.1 billion tokens processed, 99 credentials exposed across 440 Codex sessions in the researchers’ controlled test environment alone. Discover: The best crypto to diversify your portfolio with Who Is Actually Exposed – and Why Existing Defenses Don’t Reach This Layer of Crypto Theft The problem is not that third-party API routers exist. The problem is that the entire trust model for AI agent infrastructure assumes the routing layer is neutral – and no enforcement mechanism currently verifies that assumption at scale. Developers building onchain tools, DeFi automation scripts, and autonomous trading agents route API calls through third-party infrastructure constantly. Free routers sourced from public communities – the category where 8 of the 9 malicious injectors were found, are widely used precisely because they lower the cost of building LLM-powered applications. As automated execution infrastructure in DeFi grows more dependent on external data and agent coordination , the routing layer becomes an increasingly attractive target. Existing wallet security – hardware devices, multisig setups, offline key storage – does not protect against a router that intercepts a private key before it reaches the signing layer, or that injects malicious code into a deployment script that later executes onchain. Source Chainalysis Annual crypto theft losses already hit $1.4 billion. This attack vector doesn’t require breaking cryptography. It requires compromising a piece of middleware that most users never examine. YOLO-mode autonomous sessions are the highest-risk exposure point. When an agent executes multi-step transactions without human confirmation checkpoints, a malicious router has a wider window to act – and the user has no interstitial moment to catch anomalous behavior. Solayer founder @Fried_rice amplified the findings on X on April 10, 2026, describing the situation as “third-party API routers widely relied on by large language model agents” carrying “systemic security vulnerabilities” – a characterization that landed hard given the scale of autonomous agent adoption across DeFi tooling. 26 LLM routers are secretly injecting malicious tool calls and stealing creds. One drained our client $500k wallet. We also managed to poison routers to forward traffic to us. Within several hours, we can directly take over ~400 hosts. Check our paper: https://t.co/zyWz25CDpl pic.twitter.com/PlhmOYz2ec — Chaofan Shou (@Fried_rice) April 10, 2026 The researchers’ recommended defenses are client-side: fault-closure gates that halt execution when anomalous responses are detected, response anomaly filtering, and append-only logging for audit trails that can’t be tampered with by the router itself. Longer term, the UC team is advocating for cryptographic signing standards that would make LLM responses verifiable – the same architectural principle that makes onchain oracle integrity a live design requirement rather than an afterthought. Discover: The best pre-launch token sales The post Researchers Warn Malicious AI Agent Routers Could Become a New Crypto Theft Vector appeared first on Cryptonews .
13 Apr 2026, 13:29
SWIFT Becomes Strategic Partner in Ripple Treasury Ecosystem
Ripple Treasury Aligns With SWIFT in Landmark Integration as XRP Cross-Border Efficiency Gains Attention According to market analyst Diana, Ripple Treasury is moving closer to traditional financial messaging rails after its product card directly names SWIFT as a strategic partner within its expanding product stack. Notably, this disclosure appears in Ripple Treasury’s internal and partner-facing materials, which explicitly cite strategic partnerships with leading banks, SWIFT, Refinitiv and third-party solution vendors, pointing to growing alignment between blockchain settlement infrastructure and traditional financial messaging networks. Well, this development follows Ripple Labs’ acquisition of GTreasury, a move that reportedly brought the firm into the SWIFT Certified Partner Program. As a result, placeing Ripple Treasury at the crossroads of traditional treasury management and digital asset liquidity, linking corporate finance operations with blockchain-based settlement infrastructure. Post-acquisition, Ripple Treasury is said to integrate SWIFT messaging tools, expanded bank connectivity, and digital asset account capabilities spanning XRP and RLUSD. Therefore, the shift highlights a broader industry trend: rather than replacing legacy financial systems, fintech firms are increasingly embedding blockchain functionality into existing global banking rails. How Hybrid Settlement Models Could Reshape Global Cross-Border Payments The hybrid approach involving Ripple and SWIFT could materially reduce friction in cross-border settlement, streamlining how value moves across jurisdictions. Early pilot programs involving Japanese banking institutions have added momentum, with reports suggesting that XRP-based settlement flows could lower cross-border transaction costs by up to 60% compared to traditional SWIFT transfers. What makes the development especially significant is the positioning. Ripple Labs appears to be moving closer to legacy financial infrastructure rather than solely competing with it. The reported alignment with SWIFT points to a broader shift toward interoperability, where blockchain-based liquidity solutions and traditional messaging systems operate in tandem rather than in opposition. For institutional players, this hybrid model may signal a transitional setup whereby SWIFT continues to provide standardized messaging infrastructure, while Ripple Treasury and XRP-based systems focus on liquidity management, faster settlement, and the movement of tokenized assets. If adoption scales beyond pilot stages, it could meaningfully reshape how global treasury operations coordinate and deploy liquidity across borders. Overall, the takeaway is increasingly clear that the boundary between legacy financial infrastructure and blockchain-enabled systems is narrowing. Ripple Treasury appears to be positioning itself right at that intersection, where traditional banking rails and digital settlement networks begin to converge.
13 Apr 2026, 13:26
Solana Price Prediction: Key Support Holds as Breakout Looms
Solana is sitting at a key technical point , with one chart pointing to a possible wedge breakout and another warning that a deeper pullback could still come first. Together, they show that SOL may be building a base, but it still needs stronger confirmation before any move toward new highs. Solana Falling Wedge Breakout Setup Keeps New Highs in Focus Yokai Capital argues that Solana is forming a bullish weekly setup after completing a falling wedge pattern inside a broader parabolic structure. The chart shows price pulling back from prior highs, then compressing into a downward sloping wedge while still holding above a major rising long term trendline. That matters because the pattern sits inside a bigger uptrend instead of a breakdown structure. SOL / TetherUS 1W chart. Source: Yokai Capital on X The analyst’s case depends on several signals lining up at once. First, the falling wedge already appears to have completed its five wave corrective shape, which usually points to the end of a pullback rather than the start of a new bearish leg. Second, the OBV line is shown retesting a long term rising support trendline instead of collapsing below it. That suggests buying pressure has weakened, but not fully broken. At the same time, the RSI section is one of the strongest parts of the setup. The chart marks RSI near historic lows while price holds above the major curved support area. In addition, the indicator appears to show bullish divergence, meaning momentum weakened less than price did during the correction. That often signals fading downside pressure before a reversal, though it still needs confirmation from price. The green projection path on the chart reflects that bullish view. It suggests Solana could first reclaim overhead resistance around the marked midrange levels before pushing toward the prior high zone and then expanding into price discovery. However, the setup stays valid only if SOL continues to defend the lower wedge area and the long term rising trendline. If those supports fail, the bullish wedge thesis would weaken sharply. So the chart supports a constructive long term outlook, but only conditionally. Right now, Solana appears to be testing whether this correction was a completed reset inside a broader uptrend. If the wedge breakout holds and momentum improves, the case for a move toward new all time highs becomes stronger. Solana Holds Key Support While Trader Watches Lower Demand Zone This chart shows Solana moving sideways near a major horizontal support area after a long decline from its earlier highs. Gordon Gekko marks a green demand box below the market and suggests that he would add more only if price drops into that region. In other words, the setup is not about chasing strength now. Instead, it focuses on buying a deeper retracement into support. Solana / U.S. Dollar 1W chart. Source: Gordon Gekko on X The purple descending trendline also matters here. It connects a prior swing area to the projected lower zone, which means the green box is not drawn randomly. It lines up with both horizontal support and the path of the broader downtrend. Because of that confluence, the marked area stands out as a possible reaction zone if Solana weakens again. At the same time, the chart does not show a confirmed reversal yet. Price has stopped falling sharply, but it is still trading in a compressed range after a steep drop. That usually signals balance between buyers and sellers rather than clear bullish control. So far, the market looks stable, but not strong. The key takeaway is simple. Solana is sitting above an important support shelf, while a lower demand zone remains the main area of interest if that shelf fails. If price drops into the green box and buyers respond, the chart would support the idea of a stronger base forming there. If not, the structure could stay weak for longer.
13 Apr 2026, 13:22
Strategy snaps up 13,927 Bitcoin for $1 Billion, vaults holdings to 780,897 BTC
📈 Strategy snaps up 13,927 BTC for $1B, lifting holdings to 780,897 BTC. This represents nearly 4% of all Bitcoin in circulation. 🔥 Key point: Just 2.05% annual BTC growth covers all dividend payouts. 🧩 Despite $14.5B unrealized loss, Strategy keeps buying more Bitcoin. Continue Reading: Strategy snaps up 13,927 Bitcoin for $1 Billion, vaults holdings to 780,897 BTC The post Strategy snaps up 13,927 Bitcoin for $1 Billion, vaults holdings to 780,897 BTC appeared first on COINTURK NEWS .
