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FNCE 30010中等2 学分

Algorithmic Trading

墨尔本大学·University of Melbourne·墨尔本

FNCE 30010《Algorithmic Trading》是 墨尔本大学 的公开课程页面。当前可确认的信息包括 2 学分,难度 中等。 课程简介摘要:Global equity markets have changed fundamentally over the last decades。

💪 压力
3 / 5
⭐ 含金量
4 / 5

📖 课程概览

选课速读: FNCE 30010《Algorithmic Trading》是 墨尔本大学 的公开课程页面。当前可确认的信息包括 2 学分,难度 中等。 课程简介摘要:Global equity markets have changed fundamentally over the last decades。
Global equity markets have changed fundamentally over the last decades Regulatory reforms to promote competition for trading services have led to considerable fragmentation of markets. New entrants and new technology have contributed to innovative new trading mechanisms and pricing structures. Today, markets are overwhelming electronic, with trading occurring using algorithms rather than manually. Graduates wishing to pursue careers in financial markets need to understand the new market structure that exists and have skills to understand and implement trading strategies in this environment. This subject will ensure students develop these skills and knowledge, through a combination of lectures and hands-on experience of manual and robot trading in online experimental markets. The class is quite unique. Despite growing importance of computerised trading in financial markets, there exist hardly any finance classes that expose students to the issues, let alone allowing them to develop the skills to conceive robot traders themselves through participation in experimental online markets.

🕐 课表安排

2026 学期课表 · 每周 3 小时

Lecture
TBATBA (120)📍 On Campus (Parkville)
Tutorial
TBATBA (60)📍 On Campus (Parkville)
👤 讲师:Nitin Yadav✉️ nitin.yadav@unimelb.edu.au

📋 课程信息

学分
2 Credit Points
含金量
4 / 5
压力指数
3 / 5
期中考试
2022年2月15日
期末考试
2022年2月15日

💬 学生评价

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