BangaloreSharks / SharkStockLinks
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 …
☆71Updated 8 years ago
Alternatives and similar repositories for SharkStock
Users that are interested in SharkStock are comparing it to the libraries listed below
Sorting:
- An intelligent recommender system for stock analyzing, predicting and trading☆141Updated 3 years ago
- Neural Network for HFT-trading [experimental]☆87Updated 4 years ago
- Machine learning in Python for stock market and forex market predictions (fully functional)☆59Updated 7 years ago
- High frequency AI based algorithmic trading module.☆73Updated 9 years ago
- Reinforcement Learning Script that trades Equities from Yahoo Finance☆77Updated 6 years ago
- Python library for backtesting technical/mechanical strategies in the stock and currency markets☆102Updated 8 years ago
- Deep q learning on determining buy/sell signal and placing orders☆50Updated 6 years ago
- Trading environnement for RL agents, backtesting and training.☆165Updated 3 years ago
- Stock analysis/prediction model using machine learning☆190Updated 7 years ago
- A machine learning program that is able to recognize patterns inside Forex or stock data☆152Updated 5 years ago
- HFTrader is fully automated high frequency trading system☆95Updated 12 years ago
- This program trains an agent: StarTrader to trade like a human using a deep reinforcement learning algorithm: deep deterministic policy g…☆108Updated 6 years ago
- An (unofficial) implementation of the post "Trading Bitcoin with Reinforcement Learning".☆102Updated 6 years ago
- A comprehensive approach for stock trading implemented using Neural Network and Reinforcement Learning separately.☆22Updated 7 years ago
- Implementations of FX trading with RRL☆64Updated 6 years ago
- Algorithmic Trading program, that uses Genetic Programming and Genetic Algorithms to predict stock prices.☆103Updated 5 years ago
- Trend Prediction for High Frequency Trading☆43Updated 2 years ago
- Deep Neural Network Trading collection of Tensorflow Jupyter notebooks☆62Updated 2 years ago
- Novice's attempt for Stock Prices Prediction & Portfolio Optimization using Machine Learning with Python & Scikit Learn☆56Updated 4 years ago
- Algorithmic Trading using RNN☆35Updated 9 years ago
- Implemented Recurrent Neural Networks in Keras with candlestick stock price information to predict future price movement.☆55Updated 8 years ago
- Training an Agent to make automated trading decisions in a simulated stochastic market environment using Reinforcement Learning or Deep Q…☆88Updated 5 years ago
- Trading Gym is an open source project for the development of reinforcement learning algorithms in the context of trading.☆220Updated last year
- Python Implementations of popular Algorithmic Trading Strategies☆116Updated 8 months ago
- Select a supervised algorithm that can predict stock prices of historical data based on the predictors (statistical indicators). Accordin…☆44Updated 2 years ago
- Quantopian Pairs Trading algorithm implementation.☆64Updated 8 years ago
- http://pythonprogramming.net/machine-learning-pattern-recognition-algorithmic-forex-stock-trading/☆244Updated 10 years ago
- Technical Analysis Library Time-Series☆154Updated 3 months ago
- Deep Reinforcement Learning A3C Crypto Trading Bot☆40Updated 7 years ago
- Using Machine Learning for live currency trading☆37Updated 6 years ago