Analyzing the Development of Financial Investment Strategies Facilitated by Big Data Technology

With the development of communication technology and network technology, big data technology has been widely used in the field of financial investment. The purpose of this paper is to explore the impact of big data on investors' market trend perception, decision-making behaviour, information asymmetry reduction and investment strategy, and its application in quantifying investors' sentiment to optimise and improve strategy and market forecasting ability. This paper concludes that big data technology changes the way investors perceive market trends, improves the quality and efficiency of decision-making, effectively alleviates the problem of information asymmetry, and enhances the transparency and efficiency of the financial market; it provides a new method for quantifying investor sentiment, aids investment optimization strategies and improves market forecasting ability, and promotes the transformation of financial investment theory from quantitative analysis to comprehensive decision-making theory. This paper can provide a new perspective for the innovation of financial investment decision-making theory, as well as a useful reference for financial innovation products and services, financial regulators to formulate policies, etc., which helps promote the digital transformation and development of the financial industry.