Development of an AI-powered exchange platform (II)
This report highlights the development of a cryptocurrency trading platform that caters to professionals in the trading of cryptocurrencies. The platform is designed to empower users with advanced trading strategies implemented through Python coding. Building upon the foundation of a previous iterat...
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2024
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sg-ntu-dr.10356-1751312024-04-26T15:40:42Z Development of an AI-powered exchange platform (II) Lim, Shi Han Zhang Jie School of Computer Science and Engineering ZhangJ@ntu.edu.sg Computer and Information Science This report highlights the development of a cryptocurrency trading platform that caters to professionals in the trading of cryptocurrencies. The platform is designed to empower users with advanced trading strategies implemented through Python coding. Building upon the foundation of a previous iteration, this improved version aims to provide a more robust and feature-rich environment for cryptocurrency investors. The previous iteration focused on conceptualizing the system's overarching design, laying the essential groundwork for the envisioned cryptocurrency trading platform. In this iteration, our emphasis is on bringing some of the unrealized features to fruition as well as recommending and implementing additional improvements, including but not limited to UI/UX and security. The report outlines the overarching goals of the project, the purpose it serves, and the specific enhancements made up to the point of this writing. Visual representations elucidate the platform's requirements, ensuring clarity in design and functionality. Moreover, the report delves into the tools, resources, and methodologies employed during the development process. The report mainly focuses on the tasks and contributions of the author, largely related to application security, that have been made. Bachelor's degree 2024-04-22T02:20:44Z 2024-04-22T02:20:44Z 2024 Final Year Project (FYP) Lim, S. H. (2024). Development of an AI-powered exchange platform (II). Final Year Project (FYP), Nanyang Technological University, Singapore. https://hdl.handle.net/10356/175131 https://hdl.handle.net/10356/175131 en application/pdf Nanyang Technological University |
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Computer and Information Science Lim, Shi Han Development of an AI-powered exchange platform (II) |
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This report highlights the development of a cryptocurrency trading platform that caters to professionals in the trading of cryptocurrencies. The platform is designed to empower users with advanced trading strategies implemented through Python coding. Building upon the foundation of a previous iteration, this improved version aims to provide a more robust and feature-rich environment for cryptocurrency investors.
The previous iteration focused on conceptualizing the system's overarching design, laying the essential groundwork for the envisioned cryptocurrency trading platform. In this iteration, our emphasis is on bringing some of the unrealized features to fruition as well as recommending and implementing additional improvements, including but not limited to UI/UX and security.
The report outlines the overarching goals of the project, the purpose it serves, and the specific enhancements made up to the point of this writing. Visual representations elucidate the platform's requirements, ensuring clarity in design and functionality. Moreover, the report delves into the tools, resources, and methodologies employed during the development process. The report mainly focuses on the tasks and contributions of the author, largely related to application security, that have been made. |
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Zhang Jie |
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Zhang Jie Lim, Shi Han |
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Final Year Project |
author |
Lim, Shi Han |
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Lim, Shi Han |
title |
Development of an AI-powered exchange platform (II) |
title_short |
Development of an AI-powered exchange platform (II) |
title_full |
Development of an AI-powered exchange platform (II) |
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Development of an AI-powered exchange platform (II) |
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Development of an AI-powered exchange platform (II) |
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development of an ai-powered exchange platform (ii) |
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Nanyang Technological University |
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2024 |
url |
https://hdl.handle.net/10356/175131 |
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1800916136563310592 |