Deecamp Team 28 AGI Salon Activity Summary
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Date: Sunday, July 21, 2019, 8:00 PM - 10:30 PM
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Location: Room 132, Building 1, UCAS
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Host: Zhengyuan Zhu
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Salon Theme: Quantitative Investment Model Sharing and Practical Demonstration
Salon Content
Host Presentation
Liu Zhaofeng
Shared Using Deep Reinforcement Learning to Trade, introducing the development history of reinforcement learning, explaining a quantitative trading decision model that combines deep neural networks, recurrent neural networks, and reinforcement learning, and demonstrating experimental results of this model on real data.
Zhu Zhengyuan
Shared Introduction to Quantitative Investment with Deep Learning, covering stock prediction models in quantitative investment, using time series regression models commonly used in industry, building multiple hypotheses in advance, using LSTM for sliding window prediction, introducing the real situation in quantitative trading. The stock market has risks, enter cautiously~
Ge Jinglin
Designer Sharing: Introduced several stages of preliminary research and research objectives, shared an overview of the new product project advancement process.
Group Photo
Salon Discussion Content
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Suggest adjusting equipment before the activity starts
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Salon focuses on time control
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Don’t be restrained, no need for senior titles, don’t be overly modest
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Demo display format needs to wait for industry mentors to be in place before making decisions
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Next salon tentatively scheduled for the next evening without classes
