A Novel Synergetic LSTM-GA Stock Trading Suggestion System in Internet of Things

The Internet of Things (IoT) play an important role in the financial sector recent decades since several stock prediction models can be performed accurately according to IoT-based services. In real-time applications, accuracy price fluctuation forecast is very investors, and it helps investors better manage their funds when formulating trading strategies. It has always been a goal difficult problem for researchers use predictive tools obtain predicted values closer actual from given data set. Leading indicators such as futures options reflect changes many markets, industry’s prosperity. Adding set leading predict trend prices well. this research, strategy finding signals proposed that combines long short-term memory neural networks with genetic algorithms. This new framework called network index, or LSTMLI short. We thus take markets United States Taiwan research objects historical data, futures, sets these two markets. After that, we algorithms find designed system. experimental results show system help certain returns.