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Source channel @githubtrending · Post #14739 · May 23

#c_lang#ctp#ctpapi#futures#options#quant#simnow#stock#tora#trader#tts#xtp openctp is a powerful open-source trading platform compatible with many Chinese securities and futures trading systems, offering both real and simulated trading environments for futures, options, stocks, funds, and bonds across domestic and global markets like A-shares, Hong Kong, and US stocks. It provides easy access to CTPAPI through Python and other programming languages, plus user-friendly trading clients with graphical and command-line interfaces. You can register free simulation accounts instantly via WeChat, enabling you to practice and test trading strategies in real-time or 24/7 environments. It also offers training, development support, and a monitoring platform for multiple trading systems, helping you learn, develop, and trade efficiently with low costs and broad market access. This benefits you by giving a flexible, comprehensive, and cost-effective way to develop, test, and execute trading strategies across many markets with strong community and technical support. https://github.com/openctp/openctp

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Crypto M - Crypto News

@CryptoM · Post #65008 · 04/10/2026, 01:37 PM

🚀 Hapvida Aims to Raise $398 Million Through Southern Brazil Operations Sale Hapvida Participacoes e Investimentos is reportedly aiming to raise up to 2 billion reais ($398 million) by selling its operations in southern Brazil. Bloomberg posted on X that the health-care corporation is looking to reduce its debt through this sale. The move comes as part of Hapvida's broader strategy to streamline its operations and improve financial stability. The company has not yet disclosed specific details about potential buyers or the timeline for the sale. This decision reflects a growing trend among corporations to optimize their portfolios and focus on core areas amid challenging economic conditions. #Hapvida#SouthernBrazil#Sale#Healthcare#DebtReduction#FinancialStability#CorporateStrategy#EconomicConditions#Bloomberg#PortfolioOptimization