BangaloreSharks / SharkStock
Automate swing trading using deep reinforcement learning. The deep deterministic policy gradient-based neural network model trains to choose an action to sell, buy, or hold the stocks to maximize the gain in asset value. The paper also acknowledges the need for a system that predicts the trend in stock value to work along with the reinforcement …
☆69Updated 8 years ago
Alternatives and similar repositories for SharkStock:
Users that are interested in SharkStock are comparing it to the libraries listed below
- A comprehensive approach for stock trading implemented using Neural Network and Reinforcement Learning separately.☆22Updated 6 years ago
- An intelligent recommender system for stock analyzing, predicting and trading☆141Updated 3 years ago
- Machine learning in Python for stock market and forex market predictions (fully functional)☆56Updated 7 years ago
- This program trains an agent: StarTrader to trade like a human using a deep reinforcement learning algorithm: deep deterministic policy g…☆108Updated 5 years ago
- Reinforcement Learning Script that trades Equities from Yahoo Finance☆77Updated 6 years ago
- A machine learning program that is able to recognize patterns inside Forex or stock data☆151Updated 5 years ago
- Quantopian Pairs Trading algorithm implementation.☆59Updated 7 years ago
- Stock analysis/prediction model using machine learning☆187Updated 7 years ago
- Python Implementations of popular Algorithmic Trading Strategies☆116Updated 3 months ago
- Training an Agent to make automated trading decisions in a simulated stochastic market environment using Reinforcement Learning or Deep Q…☆87Updated 5 years ago
- Pair Trading Strategy using Machine Learning written in Python☆117Updated 2 years ago
- Trading environnement for RL agents, backtesting and training.☆165Updated 2 years ago
- Deep q learning on determining buy/sell signal and placing orders☆48Updated 5 years ago
- A Python based High Frequency Trading system that uses the Kite Connect API☆35Updated 8 years ago
- Stock Market Prediction Using Unsupervised Features☆53Updated 6 years ago
- An (unofficial) implementation of the post "Trading Bitcoin with Reinforcement Learning".☆100Updated 5 years ago
- Extension for creating Performance Reports with Backtrader☆72Updated 7 years ago
- Technical Analysis Library Time-Series☆153Updated last week
- Stock Prediction with XGBoost: A Technical Indicators' approach☆28Updated 6 years ago
- Research and Backtests I have been working on...enjoy☆70Updated 4 years ago
- Trend Prediction for High Frequency Trading☆40Updated 2 years ago
- Neural Network for HFT-trading [experimental]☆86Updated 4 years ago
- ☆34Updated 6 years ago
- Algorithmic trading using machine learning.☆113Updated 7 years ago
- High frequency AI based algorithmic trading module.☆72Updated 8 years ago
- Implement a momentum trading strategy in Python and test to see if it has the potential to be profitable☆56Updated 6 years ago
- Algorithmic Trading using RNN☆34Updated 8 years ago
- Deep Reinforcement Learning For Trading☆106Updated last year
- Python based Quant Finance Models, Tools and Algorithmic Decision Making☆46Updated 7 years ago
- Deep Learning Stock Volatility with Google Domestic Trends: https://arxiv.org/pdf/1512.04916.pdf☆93Updated 3 years ago