Stock Market Trading using Artificial Intelligence

The goal of this project is to modify, enhance, and integrate new features into a trading bot prototype that learns profitable stock market trading strategies for trading high-volatility assets. You will use multi-objective reinforcement learning to maximize profit and minimize risk. The project will involve developing, testing, and integrating a complete AI pipeline including data exploration, training, testing, and strategy deployment. 

 

 

 

Objectives

Learn strategies for trading selected high-volatility assets using direct reinforcement learning. Test the strategies. Create and connect a trading bot to a brokerage so that the bot can actually trade the strategies (at least on a paper trading account). Document progress, findings and performance of the bot and deployed strategies. 

Motivations

Most individuals are financially illiterate and have no idea about how best to invest their money in the stock market.  They invest in portfolios created by large companies, index funds, or the latest stocks recommended by some financial “expert.” All these investment strategies are sub-optimal. Our motivation is to develop high-performance trading strategies with the goal of showing people that AI-assisted investing approaches are superior to the other common approaches (higher return and lower risk). This project will give you the experience of working in a small software engineering team, under the guidance of an experienced stock market trader, algorithmic trading strategy developer, and experienced AI engineer. You will also learn the basics of stock market trading and risk management.

Qualifications

Minimum Qualifications:

Some experience with Python3

Preferred Qualifications:

Some experience with Python3. Some experience with AI. Some interest in learning to trade and invest.


Details

Project Partner:

Chester Ornes

NDA/IPA:

NDA Required

Number Groups:

1

Project Status:

Accepting Applicants

Website:
www.levrum.com
Keywords:
PythonMachine LearningArtificial IntelligencetradingfinanceInvesting
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