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The scam of retail trading: is automation the salvation?
Nathan Kudakwashe Kuchena African Leadership Univerisity Department 2021
Abstract
The project aims to develop automated algorithmic trading solutions for retail traders, addressing the 95% capital loss due to scams in 2020.
Metadata
Author Nathan Kudakwashe Kuchena
Supervisor Ella Ty Karambizi
Faculty COMPUTER SCIENCE
Department Not listed
Document type Final Year Project
Year 2021
Keywords trading, retail, algorithm, profitability, automated
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