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A reinforcement learning model that finds the optimal Trading Price for SPY stock options using Q-learning.

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Optimal Trading Price

UCSC CMPS 140 Winter 2019 Project (Artificial Intelligence)

Overview

A reinforcement learning model that finds the optimal Trading Price for SPY stock options using Q-learning.

Team Members

Randall Li randallli33@gmail.com
David Tang dtang10@ucsc.edu

Technology

Project Management

  • Slack - Team communication
  • Github - Software Management

Programming Languages

  • Python

Frameworks/Libraries/APIs

  • Keras
  • TensorFlow
  • SkLearn
  • Seaborn
  • MatPlotLib
  • Pandas
  • Numpy

Algorithms

  • Q-Learning

About

A reinforcement learning model that finds the optimal Trading Price for SPY stock options using Q-learning.

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