Automated Options Trading Using AI

Automated Options Trading Using AI

Prajwal S¹, Nandeesh², Niharika K Murthy³, Niharika N⁴

^[1][2][3][4] UG Students, DEPARTMENT OF ELECTRONICS OF ELECTRONICS AND COMMUNICATION,

BMS COLLEGE OF ENGINEERNIG, Bangalore, India

Abstract

Algorithmic trading is a method of executing orders using automated pre-programmed trading instructions accounting for variables such as time, price, and volume. This type of trading attempts to leverage the speed and computational resources of computers relative to human traders.

With the help of an algo trading computer program will automatically monitor the stock price and place the buy and sell orders when the defined conditions are met. The trader no longer needs to monitor live prices and graphs or put in the orders manually. The algorithmic trading system does this automatically by correctly identifying the trading opportunity.

This is the first in a series of articles dealing with machine learning in asset management. Asset management can be broken into the following tasks: (1) portfolio construction, (2) risk management, (3) capital management, (4) infrastructure and deployment, and (5) sales and marketing. This article focuses on portfolio construction using machine learning. Historically, algorithmic trading could be more narrowly defined as the automation of sell-side trade execution, but since the introduction of more advanced algorithms, the definition has grown to include idea generation, alpha factor design, asset allocation, position sizing, and the testing of strategies. Machine learning, from the vantage of a decision-making tool, can help in all these areas.