Document Type
Event
Start Date
23-4-2023 5:00 PM
Description
This project involves the use of Artificial Intelligence (AI) and Machine Learning (ML) techniques in quantitative trading and stock market analysis for educational purposes. The goal of this project is to predict stock market movement to help investors mitigate risks associated with trading and to provide higher returns. It involves the use, implementation, and refinement of basic python framework codes, sklearn library (pandas and numpy), in addition to the development and application of a Linear Regression labeling strategy to predict future daily stock trends, and the utilization of a Supervised Learning AI model. The techniques developed and utilized during this project will be used to analyze market trends, predict market movements, and optimize investment strategies. This project will provide knowledge and practical skills in AI, ML, and quantitative trading.
GC-382 Artificial Intelligence(AI) for Quantitative Trading
This project involves the use of Artificial Intelligence (AI) and Machine Learning (ML) techniques in quantitative trading and stock market analysis for educational purposes. The goal of this project is to predict stock market movement to help investors mitigate risks associated with trading and to provide higher returns. It involves the use, implementation, and refinement of basic python framework codes, sklearn library (pandas and numpy), in addition to the development and application of a Linear Regression labeling strategy to predict future daily stock trends, and the utilization of a Supervised Learning AI model. The techniques developed and utilized during this project will be used to analyze market trends, predict market movements, and optimize investment strategies. This project will provide knowledge and practical skills in AI, ML, and quantitative trading.