Crypto Fear & Greed Index Rises to 48, Market Sentiment Remains 'Neutral'

May 11: Bitcoin rallied to a peak before paring gains, briefly dipping below $81,000, per HTX market data. The cryptocurrency was last trading at $81,024.99.

On May 11, on-chain analyst Ai (@ai_9684xtpa) reported that the TRUMP team transferred tokens worth $12.09 million (4.915 million TRUMP) to Fireblocks—three months after the address’s last token allocation. The address still holds 762 million TRUMP tokens, valued at $1.88 billion.

On May 11, Base ecosystem token POD (dphn.ai) saw a sharp market value jump this morning, per GMGN monitoring. The token’s market cap briefly topped $170 million before stabilizing temporarily at $130 million. Its 24-hour gain narrowed to 82%, with $6.3 million in trading volume over the same period. dphn.ai is tied to AI model development and the DePIN (Decentralized Physical Infrastructure Networks) space, offering the "Dolphin Mistral 24B Venice Edition"—the default censorship-resistant AI model on the Venice platform. POD rallied alongside VVV during the latter’s prior surge, as it serves as the core model provider for the project. This latest price spike may stem from a retweet by Base co-founder Jesse, which has fueled ongoing price momentum.

May 11 — Michael Burry, the "Big Short" legend who famously predicted the U.S. housing crash, warned this week that today’s stock market obsession with artificial intelligence echoes the final days of the dot-com bubble. In a post on his personal blog, Burry noted the market has stopped reacting logically to economic data like jobs reports or consumer confidence. “They just keep going up because they’ve been going up, based on a two-syllable thesis (AI) that everyone seems to grasp… It feels like the final months of the 1999-2000 dot-com bubble.” Meanwhile, legendary macro trader Paul Tudor Jones — founder of Tudor Investment Corporation — also drew parallels between the current AI-fueled rally and the run-up to the dot-com burst, but said the bull market may still have room to run. Speaking on CNBC’s *Squawk Box*, Jones said the current environment feels like 1999 — roughly a year before tech stocks peaked in early 2000. He reckons the rally could keep going for another one t

May 11 — JPMorgan Chase has raised its target for South Korean stocks for the second time in less than a month, citing improved semiconductor cycles, corporate governance reforms, and industrial sector growth. The Wall Street bank lifted its base target for the Seoul Composite Index (KOSPI) to 9,000 points and its bullish scenario target to 10,000 points—representing a 33% upside from last Friday’s closing price. This updates its late-April targets of 7,000 (base) and 8,500 (bullish). Strategists are rushing to upgrade their South Korean market outlooks, driven by profit growth tied to the global AI boom. On Monday, the KOSPI surged as much as 5.1% to an intraday record high of 7,876.60 points, pushing its year-to-date gain to roughly 86% and solidifying its spot as one of the world’s best-performing stock markets. Goldman Sachs also raised its KOSPI target to 9,000 points last week. Source: FXStreet

**May 11 – Minara AI today launched its AI Prediction Copilot, becoming the first platform to integrate the Hyperliquid HIP-4 prediction market into a trading assistant system.** Powered by AI’s automated analysis of BTC’s short-term trends, support/resistance levels, risk-reward ratios, and market pricing deviations, the tool delivers professional YES/NO trading recommendations for markets like “BTC Price Range Prediction.” Unlike traditional “guess the price direction” trades, the Copilot’s core focus isn’t predicting direction—it’s identifying market mispricing. It integrates technical indicators (RSI, MACD, EMA, SuperTrend, volume, funding rates) to provide real-time AI-generated probabilities, market-implied probabilities, edge metrics, and expected returns. Additional features include real-time signal cards, one-click trading, probability comparisons, and range market analysis. This tool shifts users’ prediction market trading from “emotion-driven bets” to “AI-powered ma