wpla / Khaidem.etal.2016_AnalysisLinks
Analysis of the results of the paper "Predicting the direction of stock market prices using random forest" (2016) by Khaidem et al.
☆13Updated 6 years ago
Alternatives and similar repositories for Khaidem.etal.2016_Analysis
Users that are interested in Khaidem.etal.2016_Analysis are comparing it to the libraries listed below
Sorting:
- Reinforcement Learning for Automated Trading☆90Updated 9 years ago
- Deep Q-Learning for Market Making☆127Updated 7 years ago
- Algorithmic Trading using RNN☆36Updated 9 years ago
- A resource for learning about deep learning techniques from regression to LSTM and Reinforcement Learning using financial data and the fi…☆241Updated last year
- 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
- Deep learning for forecasting company fundamental data☆141Updated 6 years ago
- Pairs Trading with Machine Learning on Distributed Python Platform☆124Updated 3 years ago
- ☆216Updated 8 years ago
- Compute VIX and related volatility indices☆108Updated last year
- Implementation of Reinforcement Learning in Pair Trading☆11Updated 5 months ago
- Source code for the blog post on the evolution of the asset allocation methods☆220Updated 6 years ago
- the book with script☆80Updated 8 years ago
- Applying Deep Learning and NLP in Quantitative Trading☆109Updated 6 years ago
- Repository containing the code for a pairs trading investment strategy (Master Thesis in Electrical and Computer Engineering - Técnico Li…☆171Updated 6 years ago
- QuantInsti EPAT: Final Project on Statistical Arbitrage☆117Updated 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
- Implemented Recurrent Neural Networks in Keras with candlestick stock price information to predict future price movement.☆56Updated 8 years ago
- The random forest, FFNN, CNN and RNN models are developed to predict the movement of future trading price of Netflix (NFLX) stock using t…☆61Updated 4 years ago
- http://pythonprogramming.net/machine-learning-pattern-recognition-algorithmic-forex-stock-trading/☆247Updated 10 years ago
- CNN for stock market prediction using raw data & candlestick graph.☆167Updated 6 years ago
- Implementing a Generative Adversarial Network on the Stock Market☆121Updated 3 years ago
- Source code for my personal blog☆196Updated last month
- Analysis of High Frequency Trading on Bitcoin exchanges☆167Updated 8 years ago
- Machine learning end-to-end research and trade execution☆100Updated 5 years ago
- Notebook based on the book "Advances in Financial Machine Learning" by Marcos Lopez de Prado☆126Updated 6 years ago
- Neural Network for HFT-trading [experimental]☆88Updated 4 years ago
- ☆143Updated 3 years ago
- Quantopian Pairs Trading algorithm implementation.☆65Updated 8 years ago
- ☆128Updated 3 months ago
- Stock analysis/prediction model using machine learning☆191Updated 8 years ago