Using cross-disciplinary thinking to shape the future of investment. We always believe that scientific theories are capable of explaining economic phenomena, and even the most complex logic is built upon the simplest principles and definitions. In fact, finance is inseparable from physics. A major branch of physics is statistical mechanics, and the algorithms of big data analysis and AI machine learning currently being discussed are also extensions of basic science. How to bond science and finance at a deeper level is precisely the work of our team. We will use a high-level framework that differs from traditional technical analysis to build a cloud-based intelligent investment platform and provide customized algorithmic trading services, enabling financial investment to expand into more directions and seize market opportunities. For financial trading, our team takes a scientific approach, constructing big data databases and using programmatic algorithms to quantify various trading phenomena. A new generation of trading data systems cannot rely solely on traditional candlestick indicators. More detailed data, such as transaction details (Tick), five-level order book (Bid Ask), and correlated multi-products (weighted stocks, futures, options, exchange rates, international indices), are all reference bases for senior traders. However, to master such a wide range of data, the underlying technology must undergo a revolutionary upgrade. With years of practical experience in data analysis and information engineering, combined with rigorous trading logic, our team concretely quantifies abstract market intuition to establish explainable statistical analysis and AI models.
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