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Binance Alpha2.0 Completes AITECH to ACN Token Swap and Enables Trading

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Binance Announcement: AITECH Rebrands to ACN on Alpha 2.0 On April 29, Binance confirmed its Alpha 2.0 platform has completed the rebranding of AITECH (AITECH) to AITECH Cloud Network (ACN). Deposits and withdrawals for ACN are now live, following a 1:1 token swap. Trading for ACN on Binance Alpha 2.0 kicked off at 16:30 on April 29, 2026.
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Bybit is about to launch MegaETH (MEGA) spot trading

Bybit to List MegaETH (MEGA) on Spot Trading Platform on April 29, Official Sources Confirm MEGA is the native token of MegaETH, a high-performance real-time Ethereum Layer 2 solution that targets sub-millisecond latency and over 100,000 TPS.

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The Vanguard Group's fund has increased its holdings in Strive to 1.72 million shares, worth approximately $25.2 million.

On April 29th, data from BitcoinTreasuries.NET shows Vanguard Group’s Total Stock Market Index Fund—with $12 trillion in assets under management (AUM)—has increased its stake in Bitcoin treasury firm Strive (ticker: ASST) by 276,200 shares. That brings the fund’s total holdings to 1.72 million shares, valued at approximately $25.2 million.

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Bitunix Analyst:The Market』s Real Concern Is No Longer Rate Cuts—It』s Whether the Fed Is Accepting「Prolonged High Rates」

By April 30, markets had fully priced in a Fed pause, shifting focus to a critical question: Is the Fed now open to active rate hikes again? That’s why long-term U.S. Treasury yields have recently neared 5%, with traders increasingly betting on declines in long-duration bonds. Over the past two years, the Fed framed energy, tariff, and supply chain shocks as “one-off inflation.” Even amid oil price volatility, markets expected an eventual return to rate cuts. But as the Middle East conflict enters its third month and Brent crude has risen ~50% since the outbreak, the Fed is publicly asking: If one-off shocks keep recurring, can they still be called “one-off”? The real risk tonight isn’t an immediate rate hike—it’s whether Powell will formally acknowledge that high oil prices and supply chain snags are feeding into core inflation. If the Fed embraces this logic, the “prolonged high rates” narrative will retake center stage. Adding to the stakes: This could be Powell’s final FOM

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Tron's active addresses hit 76.09M in April (+46.72% vs March), while transactions reached 290.85M (+53.76%).

Tron's active addresses reached 76.09M in April, a 46.72% increase from March, and transactions reached 290.85M, a 53.76% increase from March.

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DOGE Rises Nearly 10% in a Day as Whale Margin Trades for 41.6 Million DOGE

April 29th — Per HyperInsight monitoring (https://t.me/HyperInsight), Dogecoin (DOGE) extended its afternoon surge, briefly spiking to $0.11 and pushing its 24-hour gain to 10%. Daily trading volume for DOGE on Hyperliquid reached $57.31 million. Amid the rally, an active Hyperliquid whale—who opened 52 long positions on DOGE this month—chased the uptick by entering a 10x leveraged long position. The position totals 41.67 million DOGE (valued at $4.5 million) with an average entry price of $0.10765, making it the largest DOGE long position on Hyperliquid currently. Address: 0x8d0e342e0524392d035fb37461c6f5813ff59244

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Most prediction market traders incur losses, with only a few high-frequency trading bots being profitable.

April 29 — Per Bloomberg data, Polymarket reports at least 1,000 accounts have lost over $100,000, nearly double the number of profitable accounts with the same $100k threshold. A group of ~823 highly active accounts (classified as BOTS due to significant daily trading volume) collectively netted ~$131 million in profits. Excluding these BOTS, all other traders posted a net loss of $131 million. The report notes prediction markets—with annualized trading volume topping $500 billion and growing—are now dominated by a handful of automated programs. On Polymarket alone, just ~5% of suspected BOT wallets drive 75% of the platform’s trading volume. These BOTS use high-frequency arbitrage across markets, entering trades earlier and at better prices to lock in higher returns. By contrast, ordinary traders often lose money even when they correctly predict trends, as delays push them to execute trades at unfavorable price points. A recent market trend study found 68.8% of traders analyzin

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