XPL trades at $0.1014, down 2.34% (24h), 27% weekly, 46.7% monthly 📉. Momentum is bearish across all timeframes: Bollinger Bands 65.5% bearish accuracy, weak MACD, low RSI. Daily volume $58.8M dominated by sellers, net outflows in 14 of last 24h—accumulation is absent.462 short whales vs 171 longs 🟥, shorts now in profit, longs at risk below $0.1370. Long/short ratio fell 0.3396 → 0.336, confirming institutional bearish conviction. Longs entered $0.1442–$0.1443 now underwater; short positions cluster $0.1378, highlighting potential cascade risk.Market fear 17/100 😨, 78.4% supply locked. Heavy outflows + whale control create structural vulnerability. A break above $0.1440 needed to spark short-covering and reverse trend.
Plasma’s Paymaster enables gasless transactions , aiming for seamless Web3 adoption. Similar to ETC’s frictionless model, long-term utility could drive value, but current selling pressure overshadows fundamentals.Fade rallies $0.1380–$0.1390, stop $0.1410, target $0.1350.Watch $0.1350 for potential reversal; accumulation possible with volume surge.Recovery depends on adoption + break above $0.1440; structural selling remains key risk.XPL’s outlook is heavily bearish, smart money aligned with shorts, and fear extreme 😰—only a confirmed reversal above $0.1440 can shift momentum. $CHESS $XPL #Plasma #plasma #creatorpad @Plasma #LearnWithFatima #TradeSignal $BIRB
Due to severe global supply shortages, China's two major storage chip manufacturers, Changxin Storage and Yangtze Memory Technologies, have launched the largest expansion plan in history, aiming to narrow the gap with international leaders like Samsung and SK Hynix.
As China's largest DRAM manufacturer, Changxin Storage is building a new factory in Shanghai, with additional capacity expected to reach two to three times that of its Hefei headquarters. The factory is scheduled to begin equipment installation in the second half of 2026 and officially start production in 2027, with products covering server, PC, and automotive electronics fields. At the same time, the company is also expanding its HBM production line in Shanghai, targeting AI computing demand.
According to informed sources, Changxin Storage's two factories in Hefei and Beijing are already operating at full capacity, "Domestic demand is extremely strong, and the company hopes to expand production capacity as soon as possible."
China's leading NAND manufacturer, Yangtze Memory Technologies, is also building its third factory in Wuhan, with plans to start production in 2027.
It has been revealed that Yangtze Memory Technologies has clarified the production capacity planning for the new factory, with 50% of the capacity to be used for DRAM manufacturing in addition to producing NAND; it will also collaborate with local storage packaging companies to develop and produce HBM for artificial intelligence computing scenarios.
$ETH /USDT: Is the Bottom In? Ethereum ($ETH ) is currently trading at $2,321.13, attempting to recover after a sharp drop to a low of $2,157.14.
Entry Zone: $2,200 – $2,300 (Watch for a strong hold above the recent low). Target 1: $2,561 (Resistance at MA-7). Target 2: $2,955 (Major resistance at MA-25). Stop Loss (SL): $2,100 (Exit if it breaks the recent support floor).
{future}(ETHUSDT) Quick Insight: The trend is still bearish as price is far below the MA(99) at $3,105. However, the long lower wick shows buyers are stepping in at lower levels. Trade with a strict Stop Loss! #Ethereum #cryptotrading #BinanceSquare #tradeplan #Write2Earn
Why I Started to Doubt That Most Public Chains Are Actually Unsuitable for Long-Term AI Operation
A couple of days ago, while reviewing an automated strategy, I suddenly realized a rather glaring issue. The strategy itself is fine, and the logic is correct, but as soon as the time is extended, various 'strange deviations' start to appear. It's not that the model suddenly becomes stupid, but rather that the operating environment continually interrupts its continuity. At that moment, I realized that many people actually misunderstand one thing. AI is not a one-time tool. If it is to participate in trading, execute strategies, and manage assets, it must operate in an environment that allows for long-term existence. This is precisely the premise that many public chains have not seriously considered.