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Source channel @githubtrending · Post #14839 · Jun 18

#typescript#alibaba#low_code#lowcode Low-code platforms like LowCodeEngine help you build applications quickly without needing to write a lot of code. This means you can create and deploy apps faster, which is good for businesses because they can respond quickly to changing needs. Low-code platforms also make it easier to update apps and improve user experience. They provide tools and components that simplify development, allowing developers to focus on more complex tasks and innovations. This approach helps prevent technical debt and supports better decision-making by providing real-time data insights[1][3][4]. https://github.com/alibaba/lowcode-engine

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Crypto M - Crypto News

@CryptoM · Post #65372 · 04/13/2026, 02:55 AM

🚀 Asian Markets Show Resilience Amid Geopolitical Tensions Asian stock markets continued their 'low open-recovery' trend on April 13, with Japan's Nikkei 225 and South Korea's KOSPI initially experiencing significant declines before quickly narrowing their losses. According to BlockBeats, this pattern reflects a decreasing sensitivity to geopolitical conflicts, such as the ongoing tensions involving Iran. Since the escalation of the Iran conflict, the market's Monday corrections have shown a consistent reduction in magnitude, moving from near double-digit losses to more moderate adjustments. This indicates a diminishing impact of geopolitical shocks on market sentiment. In trading dynamics, the 'Trump model' is being systematically priced in. This involves creating uncertainty through policy signals or strong statements during the week, followed by a softening stance or 'victory' outcomes over the weekend, which helps to restore expectations and drive a rebound in risk assets. As this framework is repeatedly validated, investors' willingness to trade on early-week volatility has decreased, leading to reduced selling pressure and a convergence in volatility patterns. #AsianMarkets#GeopoliticalTensions#Nikkei225#KOSPI#IranConflict#MarketResilience#TrumpModel#Volatility#RiskAssets#MarketSentiment#TradingDynamics#InvestorBehavior