  Recent advances in artificial intelligence (AI) for quantitative trading have
led to its general superhuman performance in significant trading performance.
However, the potential risk of AI trading is a "black box" decision. Some AI
computing mechanisms are complex and challenging to understand. If we use AI
without proper supervision, AI may lead to wrong choices and make huge losses.
Hence, we need to ask about the AI "black box", including why did AI decide to
do this or not? Why can people trust AI or not? How can people fix their
mistakes? These problems also highlight the challenges that AI technology can
explain in the trading field.
