mariko-sawada / FinRL_with_fundamental_data
Trained an automated stock trading model with companies' fundamental data using FinRL, a Deep Reinforcement Learning library developed by AI4Finance.
☆51Updated 3 years ago
Alternatives and similar repositories for FinRL_with_fundamental_data:
Users that are interested in FinRL_with_fundamental_data are comparing it to the libraries listed below
- This project is part of my internship at ULiege on Deep RL in stock market trading☆44Updated last year
- FinML: A Practical Machine Learning Framework for Dynamic Stock Selection☆126Updated last year
- Deep Reinforcement Learning For Trading☆106Updated last year
- The repository contains the code for project for DS 5500 course at Northeastern.☆36Updated 5 years ago
- The code used for the free quants@dev Webinar series on Reinforcement Learning in Finance☆100Updated 2 years ago
- Materials for blogs and conferences☆67Updated 3 years ago
- ☆99Updated 2 years ago
- Reinforcement Learning Script that trades Equities from Yahoo Finance☆77Updated 5 years ago
- An investment portfolio of stocks is created using Long Short-Term Memory (LSTM) stock price prediction and optimized weights. The perfor…☆34Updated last year
- Artificial-Intelligence-Big-Data-Lab / A-Multi-Layer-and-Multi-Ensembled-Stock-Trader-Using-Deep-Learning-and-Deep-Reinforcement-Learning☆55Updated 4 years ago
- Demo for the application of RL to non-stationary effects☆45Updated 4 years ago
- A network tries to predict movements in stock prices based on a picture of a time series stock price.☆38Updated 4 years ago
- A Streamlit based application to predict future Stock Price and pipeline to let anyone train their own multiple Machine Learning models o…☆87Updated 6 months ago
- Pair Trading Strategy using Machine Learning written in Python☆114Updated 2 years ago
- An RL model that uses double deep Q learning to generate an optimal policy of stock market trades☆97Updated 2 years ago
- Reinforce Your Career: Machine Learning in Finance. Extend your expertise of algorithms and tools needed to predict financial markets.☆72Updated 2 years ago
- Deep q learning on determining buy/sell signal and placing orders☆47Updated 5 years ago
- Deep Reinforcement Learning for Portfolio Optimization☆110Updated 4 years ago
- Developing a long/short equity investment portfolio with Machine Learning predictions using data acquired from web-scraping. Flatiron Mod…☆39Updated 4 years ago
- ☆71Updated 2 years ago
- A machine learning approach to investment portfolio composition. The program analyzes the fundamentals of the listed companies on the S&P…☆71Updated 4 years ago
- MlFinLab helps portfolio managers and traders who want to leverage the power of machine learning by providing reproducible, interpretable…☆63Updated last year
- Implementing a Generative Adversarial Network on the Stock Market☆121Updated 3 years ago
- ☆36Updated 3 years ago
- Unsupervised machine learning Principal Component Analysis (PCA) on the Dow Jones Industrial Average index and it's respective 30 stocks …☆70Updated 4 years ago
- This program trains an agent: StarTrader to trade like a human using a deep reinforcement learning algorithm: deep deterministic policy g…☆107Updated 5 years ago
- ☆57Updated last year
- ☆66Updated 6 years ago
- This MLOps project productionizes a Deep Reinforcement Learning agent with a scalable, distributed data streaming infrastructure using Ka…☆30Updated 3 years ago
- Stock and Forex market prediction using ML and time-series modelling☆37Updated 6 years ago