Search results for "Shiba 2.0"
2026-04-26
18:52

Shiba Inu Open Interest Surges 13.45% in 24 Hours as Futures Activity Accelerates

SHIB open interest rose 13.45% to $69.79M with price up ~3% to $0.000006231. Futures inflows higher; volumes surged. Technicals show 50-day MA support, RSI 55, MACD bullish; potential move beyond 0.000010. Abstract: This report reviews SHIB market activity on Gate News as of April 22. SHIB open interest rose 13.45% to $69.79 million, with the price up about 3% to $0.000006231. Futures inflows exceeded outflows and total volumes rose, while spot and futures taker data showed mixed biases. Technically SHIB found support near the 50-day MA, RSI sits at 55, and the MACD turned positive, signaling a potential breakout and a possible rally beyond the $0.000010 level after a confirmed channel breakout.
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SHIB2,53%
BTC2,17%
XRP1,68%
07:05

Anthropic's Claude Code Removal Sparks Developer Backlash; OpenAI Gains Community Support

Anthropic drops Claude Code from Pro plan, drawing criticism as developers migrate to OpenAI; Codex remains free/basic, GPT-5.4 and Image 2.0 boost performance, driving large user migration. Abstract: The article examines Anthropic's removal of Claude Code from the $20 Pro plan, which triggers backlash from developers who call it a hidden price increase and a reliability risk. It contrasts this move with OpenAI's policy of keeping Codex in free and basic tiers, while highlighting strong model performance from GPT-5.4 and ChatGPT Images 2.0, and notes a rapid migration of users to OpenAI, with Codex reportedly exceeding 4 million weekly active users.
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23:49

OpenAI Rolls Out ChatGPT Images 2.0 with Thinking Capabilities

OpenAI rolls out ChatGPT Images 2.0 with improved rendering, multilingual script support, real-time web search, and multiple outputs per prompt, plus refined accuracy and pricing benchmarks against Imagen. Abstract: The article reports OpenAI's ChatGPT Images 2.0 rollout, noting improved rendering of text and UI elements, broader language support, and better adherence to instructions. It describes new capabilities for real-time search, multiple outputs, and output refinement, while offering pricing context and noting the architecture remains undisclosed.
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