• Research and Implementation of...

Treffer: Research and Implementation of Quantitative Trading Strategies Based on QuantConnect Platform

Title:
Research and Implementation of Quantitative Trading Strategies Based on QuantConnect Platform
Authors:
Zhang, Kun, Mei, Yu, Hu, Yiming
Publication Year:
2025
Collection:
Theseus.fi (Open Repository of the Universities of Applied Sciences / Ammattikorkeakoulujen julkaisuarkisto)
Subject Terms:
fi=Tieto- ja viestintätekniikka|sv=Informations- och kommunikationsteknik|en=Information and Communications Technology, strategies, machine learning, algorithms, finance, financial markets, Degree Programme in Information Technology
Document Type:
Dissertation bachelor thesis
Language:
English
Relation:
https://www.theseus.fi/handle/10024/883847
Availability:
https://www.theseus.fi/handle/10024/883847
Rights:
fi=All rights reserved. This publication is copyrighted. You may download, display and print it for Your own personal use. Commercial use is prohibited.|sv=All rights reserved. This publication is copyrighted. You may download, display and print it for Your own personal use. Commercial use is prohibited.|en=All rights reserved. This publication is copyrighted. You may download, display and print it for Your own personal use. Commercial use is prohibited.|
Accession Number:
edsbas.E60F1CF4
Database:
BASE

Weitere Informationen

This thesis investigates the development and performance evaluation of algorithmic trading strategies using QuantConnect, a cloud-based platform for quantitative finance. The study focuses on implementing diverse strategies ranging from traditional technical indicators (e.g., moving average crossovers, momentum tactics) to advanced machine learning approaches, all executed through QuantConnect's Python API and backtesting engine.