Recently, with the popularity of social investing platforms, participating in an investment club has become a good choice for investors. Following financial experts in the investment club likely generates more profit as they have higher expertise in planning an investment portfolio. In this study, we propose a portfolio selection mechanism that combines collective intelligence extracted from investors’ opinions and LSTM stock price predictions to infer a club's investment preference and predict the profitability of the extracted investment targets. Based on a club's risk tolerance and investment preference, the proposed mechanism can create an appropriate stock portfolio for the investors in the club. Utilizing StockTwits and stock historical data, the experimental results verify that the proposed portfolio selection mechanism performs better than market indices and other benchmark approaches in the market.

近年来，随着社交投资平台的普及，参加投资俱乐部成为投资者不错的选择。跟随投资俱乐部中的金融专家可能会产生更多利润，因为他们在规划投资组合方面拥有更高的专业知识。在本研究中，我们提出了一种投资组合选择机制，结合从投资者意见中提取的集体智慧和 LSTM 股价预测来推断俱乐部的投资偏好并预测提取的投资目标的盈利能力。基于俱乐部的风险承受能力和投资偏好，所提出的机制可以为俱乐部的投资者创建合适的股票投资组合。利用 StockTwits 和股票历史数据，实验结果验证了所提出的投资组合选择机制的表现优于市场指数和市场上其他基准方法。