Thesis
Trading automation project
This thesis applies reinforcement learning to automate trading decisions in financial markets.
Reinforcement Learning for Automated Trading
85 stars
11 watching
30 forks
Language: TeX
last commit: almost 8 years ago
Linked from 1 awesome list
Related projects:
Repository | Description | Stars |
---|---|---|
matlab-deep-learning/reinforcement_learning_financial_trading | This project demonstrates a reinforcement learning approach to developing a financial trading model in MATLAB. | 154 |
sachink2010/automatedstocktrading-deepq-learning | A project implementing a reinforcement learning-based automated trading system to optimize stock portfolio management. | 263 |
optimalpandemic/taurus | An AI-powered trading platform that uses reinforcement learning and real-time data collection to make cryptocurrency trading decisions. | 51 |
ceruleanacg/personae | A repository of implements and environments for implementing deep reinforcement learning and supervised learning methods in quantitative trading. | 1,365 |
ai4finance-foundation/finrl-trading | Develops an AI-based trading strategy using supervised and deep reinforcement learning techniques to select stocks and allocate assets for investment. | 2,115 |
edouardpoitras/nowtrade | A Python library for creating and backtesting algorithmic trading strategies using machine learning and technical indicators. | 104 |
miroblog/deep_rl_trader | A reinforcement learning-based trading system that uses Deep Q-Networks to make optimal trading decisions based on historical stock prices. | 411 |
liamconnell/deep-algotrading | A project demonstrating the application of deep learning techniques to financial data and algorithmic trading | 234 |
jjakimoto/dqn | Reinforcement learning-based algorithm for optimizing stock trading and portfolio management | 181 |
scottfreellc/alphapy | An autoML framework for building and analyzing trading systems and sports betting models using machine learning algorithms. | 1,160 |
modulus-labs/rockybot | An AI trading bot with neural network-based price prediction and on-chain execution | 131 |
yazanobeidi/flow | An AI-based algorithmic trading module that uses machine learning to optimize trades for maximum return. | 69 |
chrism2671/pytrendfollow | A systematic futures trading framework using trend following algorithms and interacting with multiple data sources | 377 |
miroblog/tf_deep_rl_trader | A trading agent implemented using reinforcement learning and deep neural networks to make optimal stock market trades. | 241 |
deependersingla/deep_trader | An agent learns to trade stocks using reinforcement learning | 1,458 |