ARTIFICIAL INTELLIGENCE

TRADING

Introduction

Artificial intelligence may become the cornerstone instrument for developing financial strategies that were previously considered hard-to-predict. It is because one trader will never beat a machine, as the latter is capable of processing giant data and updating forecasts continuously.

On most exchanges, trading is carried out by robots that make decisions based on the algorithms and realign the strategies in keeping with the updated data. Algorithm-based trading has already become popular, and this led to emergence of the high-frequency trading. Also, numerous hedge funds engage mathematicians to develop statistical models and trading algorithms on the ground of historical data.

However, artificial neural networks have become self-sufficient traders demonstrating better results than exchange bots or algorithms, let alone humans.

AI in Trading Today

Artificial intelligence may become the cornerstone instrument for developing financial strategies that were previously considered hard-to-predict. It is because one trader will never beat a machine, as the latter is capable of processing giant data and updating forecasts continuously.

On most exchanges, trading is carried out by robots that make decisions based on the algorithms and realign the strategies in keeping with the updated data. Algorithm-based trading has already become popular, and this led to emergence of the high-frequency trading. Also, numerous hedge funds engage mathematicians to develop statistical models and trading algorithms on the ground of historical data.

However, artificial neural networks have become self-sufficient traders demonstrating better results than exchange bots or algorithms, let alone humans.

What is AI capable of to date

Artificial intelligence may become the cornerstone instrument for developing financial strategies that were previously considered hard-to-predict. It is because one trader will never beat a machine, as the latter is capable of processing giant data and updating forecasts continuously.

On most exchanges, trading is carried out by robots that make decisions based on the algorithms and realign the strategies in keeping with the updated data. Algorithm-based trading has already become popular, and this led to emergence of the high-frequency trading. Also, numerous hedge funds engage mathematicians to develop statistical models and trading algorithms on the ground of historical data.

However, artificial neural networks have become self-sufficient traders demonstrating better results than exchange bots or algorithms, let alone humans.