Impact of Technical Indicators and Leading Indicators on Stock Trends on the Internet of Things

The Internet of things (IoT) has had an enormous impact on the financial industry. With IoT, people can obtain real-time information; moreover, investment and management have become more flexible diverse. Because their high returns strong liquidity, stocks essential commodities through which invest manage money. However, are often associated with risks. Therefore, it is important for investors to forecast trends future stock prices. This study uses a new trend prediction framework predict changes in price direction next trading day using data from past 30 days. two-dimensional convolutional neural networks classify prices into three categories: up, down, flat. In addition, analyze influence different types input model, historical data, futures, options, technical indicators, mixed taken as model’s input. Experiments US Taiwan proved validity model. method proposed this compared buy-and-hold random choice strategies. Results show that profitability better than two baseline