rosdyana / Going-Deeper-with-Convolutional-Neural-Network-for-Stock-Market-Prediction
Repository for Going Deeper with Convolutional Neural Network for Stock Market Prediction
☆135Updated 9 months ago
Alternatives and similar repositories for Going-Deeper-with-Convolutional-Neural-Network-for-Stock-Market-Prediction:
Users that are interested in Going-Deeper-with-Convolutional-Neural-Network-for-Stock-Market-Prediction are comparing it to the libraries listed below
- 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
- Pair Trading Strategy using Machine Learning written in Python☆115Updated 2 years ago
- Repository containing the code for a pairs trading investment strategy (Master Thesis in Electrical and Computer Engineering - Técnico Li…☆158Updated 5 years ago
- This is a Machine Learning project using Convolutional Neural Network to predict the stock price. It is done after a project article by A…☆43Updated 3 years ago
- Reinforcement Learning Script that trades Equities from Yahoo Finance☆77Updated 6 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…☆60Updated 3 years ago
- ☆138Updated 2 years ago
- Stock analysis/prediction model using machine learning☆188Updated 7 years ago
- Implementing a Generative Adversarial Network on the Stock Market☆121Updated 3 years ago
- Build a statistical risk model using PCA. Optimize the portfolio using the risk model and factors using multiple optimization formulation…☆131Updated 6 years ago
- LSTM RNN for sentiment-based stock prediction☆64Updated 7 years ago
- A machine learning program that is able to recognize patterns inside Forex or stock data☆151Updated 5 years ago
- Every day, millions of traders around the world are trying to make money by trading stocks. These days, physical traders are also being r…☆273Updated 3 years ago
- CNN for stock market prediction using raw data & candlestick graph.☆163Updated 5 years ago
- Automate swing trading using deep reinforcement learning. The deep deterministic policy gradient-based neural network model trains to cho…☆70Updated 7 years ago
- Stanford Project: Artificial Intelligence is changing virtually every aspect of our lives. Today’s algorithms accomplish tasks that until…☆264Updated last year
- An intelligent recommender system for stock analyzing, predicting and trading☆141Updated 3 years ago
- We tested 3 approaches for Pair Trading: distance, cointegration and reinforcement learning approach.☆259Updated 2 years ago
- ☆211Updated 7 years ago
- This project is a loose implementation of paper "Algorithmic Financial Trading with Deep Convolutional Neural Networks: Time Series to Im…☆168Updated 4 years ago
- Stock Prediction with XGBoost: A Technical Indicators' approach☆28Updated 6 years ago
- Algorithmic Trading using RNN☆34Updated 8 years ago
- This project studies the intrinsic relationship between the stocks’ multiple factors and the investment value of the stocks listed in Chi…☆78Updated 3 years ago
- backtrader with DRL ( Deep Reinforcement Learning)☆66Updated last year
- Option Calculator using Black-Scholes model and Binomial model☆169Updated 5 years 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
- Stock Fundamental Analysis using Machine Learning Classification Models☆103Updated 3 years ago
- Notebook based on the book "Advances in Financial Machine Learning" by Marcos Lopez de Prado☆124Updated 5 years ago
- ☆72Updated 3 years ago
- ☆194Updated 3 weeks ago