Research and Implementation of Quantitative Trading Strategies Based on QuantConnect Platform
Zhang, Kun; Mei, Yu; Hu, Yiming (2025)
Zhang, Kun
Mei, Yu
Hu, Yiming
2025
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Julkaisun pysyvä osoite on
https://urn.fi/URN:NBN:fi:amk-202504298114
https://urn.fi/URN:NBN:fi:amk-202504298114
Tiivistelmä
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.