Description
The objective of the talk is to provide an introduction of how artificial intelligence could be applied in stock trading.
This session will introduce how to use Python to extract historical open-high- low-close (OHLC) data, perform data processing, recognise patterns in the stock market with artificial intelligence algorithms and eventually backtest the strategy. The talk will also touch on further work that could be done, including the scraping and feature engineering of alternative data.