rosdyana / Going-Deeper-with-Convolutional-Neural-Network-for-Stock-Market-PredictionLinks
Repository for Going Deeper with Convolutional Neural Network for Stock Market Prediction
☆138Updated last year
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
Sorting:
- Reinforcement Learning Script that trades Equities from Yahoo Finance☆78Updated 6 years ago
- Pairs Trading with Machine Learning on Distributed Python Platform☆122Updated 3 years ago
- Implementation of Reinforcement Learning in Pair Trading☆11Updated 5 months ago
- ☆216Updated 8 years ago
- backtrader with DRL ( Deep Reinforcement Learning)☆69Updated 2 years ago
- An intelligent recommender system for stock analyzing, predicting and trading☆141Updated 3 years ago
- Implementing a Generative Adversarial Network on the Stock Market☆121Updated 3 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
- 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
- Notebook based on the book "Advances in Financial Machine Learning" by Marcos Lopez de Prado☆126Updated 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
- We tested 3 approaches for Pair Trading: distance, cointegration and reinforcement learning approach.☆268Updated 3 years ago
- FinML: A Practical Machine Learning Framework for Dynamic Stock Selection☆164Updated last year
- Applying Deep Learning and NLP in Quantitative Trading☆109Updated 6 years ago
- This project is a loose implementation of paper "Algorithmic Financial Trading with Deep Convolutional Neural Networks: Time Series to Im…☆172Updated 5 years ago
- ☆203Updated last month
- kennedyCzar / STOCK-RETURN-PREDICTION-USING-KNN-SVM-GUASSIAN-PROCESS-ADABOOST-TREE-REGRESSION-AND-QDAForecast stock prices using machine learning approach. A time series analysis. Employ the Use of Predictive Modeling in Machine Learning …☆135Updated 3 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…☆285Updated 4 years ago
- implementation of WSAE-LSTM model as defined by Bao, Yue, Rao (2017)☆78Updated 3 years ago
- Stanford Project: Artificial Intelligence is changing virtually every aspect of our lives. Today’s algorithms accomplish tasks that until…☆282Updated 2 years ago
- ☆257Updated 3 years ago
- Deep Reinforcement Learning for Financial Trading using Price Trailing @ ICASSP 2019☆224Updated 2 years ago
- This repository provides the code for a Reinforcement Learning trading agent with its trading environment that works with both simulated …☆218Updated 2 years ago
- ☆142Updated 3 years ago
- Reproduce research from paper "Predicting the direction of stock market prices using random forest"☆118Updated 7 years ago
- These are the code snippets used in the Backtrader for backtesting guide on the AlgoTrading101 website☆139Updated 3 years ago
- Source code for my personal blog☆195Updated last week
- Deep q learning on determining buy/sell signal and placing orders☆50Updated 6 years ago
- Deep LSTM Duel DQN Reinforcement Learning Forex EUR/USD Trader☆192Updated 3 years ago
- An RL model that uses double deep Q learning to generate an optimal policy of stock market trades☆106Updated 3 years ago