Thesis
by pnecchi
Reinforcement Learning for Automated Trading
AI summary
Trading automation project
This thesis applies reinforcement learning to automate trading decisions in financial markets.
- stars
- 85
- forks
- 31
- watching
- 11
- awesome list
- 1
Similar projects
Found by comparing what the projects do, not just their names.
Trading strategy simulator
This project demonstrates a reinforcement learning approach to developing a financial trading model in MATLAB.
Trading bot
A project implementing a reinforcement learning-based automated trading system to optimize stock portfolio management.
Trading bot
An AI-powered trading platform that uses reinforcement learning and real-time data collection to make cryptocurrency trading decisions.
Trading simulator library
A repository of implements and environments for implementing deep reinforcement learning and supervised learning methods in quantitative trading.
Trading strategy framework
Develops an AI-based trading strategy using supervised and deep reinforcement learning techniques to select stocks and allocate assets for investment.
Trading Library
A Python library for creating and backtesting algorithmic trading strategies using machine learning and technical indicators.
Trading bot
A reinforcement learning-based trading system that uses Deep Q-Networks to make optimal trading decisions based on historical stock prices.
Trading simulator
A project demonstrating the application of deep learning techniques to financial data and algorithmic trading
Portfolio Optimizer
Reinforcement learning-based algorithm for optimizing stock trading and portfolio management
Machine Learning Framework
An autoML framework for building and analyzing trading systems and sports betting models using machine learning algorithms.
Trading Bot
An AI trading bot with neural network-based price prediction and on-chain execution
Trading system
An AI-based algorithmic trading module that uses machine learning to optimize trades for maximum return.
Futures trader
A systematic futures trading framework using trend following algorithms and interacting with multiple data sources
Trading Agent
A trading agent implemented using reinforcement learning and deep neural networks to make optimal stock market trades.
Stock trader
An agent learns to trade stocks using reinforcement learning
Featured in 1 awesome list
Each link jumps to the spot where the list mentions Thesis.