OpenXAIProject / Automatic-Stock-TradingLinks
Trading Algorithm by XGBoost
☆72Updated 7 years ago
Alternatives and similar repositories for Automatic-Stock-Trading
Users that are interested in Automatic-Stock-Trading are comparing it to the libraries listed below
Sorting:
- Stock Market Prediction Using Unsupervised Features☆53Updated 7 years ago
- Reinforcement Learning Script that trades Equities from Yahoo Finance☆78Updated 6 years ago
- This project explores stock trading modelling with the use recurrent neural network (RNN) with long-short term memory (LSTM) architecture…☆28Updated 6 years ago
- An intelligent recommender system for stock analyzing, predicting and trading☆141Updated 4 years ago
- Deep q learning on determining buy/sell signal and placing orders☆51Updated 6 years ago
- Python based Quant Finance Models, Tools and Algorithmic Decision Making☆47Updated 8 years ago
- Implementation of AFML Book☆22Updated 6 years ago
- Applying Deep Learning and NLP in Quantitative Trading☆110Updated 6 years ago
- This project is a loose implementation of paper "Algorithmic Financial Trading with Deep Convolutional Neural Networks: Time Series to Im…☆171Updated 5 years ago
- A comprehensive approach for stock trading implemented using Neural Network and Reinforcement Learning separately.☆22Updated 7 years ago
- Repository for Going Deeper with Convolutional Neural Network for Stock Market Prediction☆138Updated last year
- Algorithmic Financial Trading with Deep Convolutional Neural Networks: Time Series to Image Conversion Approach: A novel algorithmic trad…☆128Updated 4 years ago
- Implementing a Generative Adversarial Network on the Stock Market☆121Updated 3 years ago
- Stock Prediction with XGBoost: A Technical Indicators' approach☆31Updated 6 years ago
- Pairs Trading with Machine Learning on Distributed Python Platform☆125Updated 3 years ago
- Reproduce research from paper "Predicting the direction of stock market prices using random forest"☆118Updated 7 years ago
- ☆67Updated 7 years ago
- Stock price trend analysis using Fourier transform☆45Updated 7 years ago
- Automate swing trading using deep reinforcement learning. The deep deterministic policy gradient-based neural network model trains to cho…☆70Updated 8 years ago
- Unsupervised machine learning Principal Component Analysis (PCA) on the Dow Jones Industrial Average index and it's respective 30 stocks …☆75Updated 5 years ago
- Deep Learning Stock Volatility with Google Domestic Trends: https://arxiv.org/pdf/1512.04916.pdf☆94Updated 3 years ago
- Hidden Markov Model (HMM) based stock forecasting☆103Updated 7 years ago
- Machine learning trading method using meta-labeling. You can see the details in 'Advances in Financial Machine Learning' by Lopez de Prad…☆15Updated 4 years ago
- Developed a deep learning model that allows trading firms to analyze large patterns of stock market data and look for possible permutatio…☆64Updated 6 years ago
- Estimation of the lead-lag parameter from non-synchronous data.☆133Updated 9 months ago
- ☆143Updated 3 years ago
- Stock Price Predictor☆31Updated 6 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
- Training an Agent to make automated trading decisions in a simulated stochastic market environment using Reinforcement Learning or Deep Q…☆88Updated 5 years ago
- Autoencoder framework for portfolio selection (paper published by J. B. Heaton, N. G. Polson, J. H. Witte.)☆134Updated 5 years ago