JasonDoingGreat / Convolutional-Networks-for-Stock-Predicting
This is a Machine Learning project using Convolutional Neural Network to predict the stock price. It is done after a project article by Ashwin Siripurapu from Stanford University but in a different way.
☆43Updated 3 years ago
Alternatives and similar repositories for Convolutional-Networks-for-Stock-Predicting:
Users that are interested in Convolutional-Networks-for-Stock-Predicting are comparing it to the libraries listed below
- Repository for Going Deeper with Convolutional Neural Network for Stock Market Prediction☆135Updated 9 months ago
- Reinforcement Learning Script that trades Equities from Yahoo Finance☆77Updated 6 years ago
- Stock price prediction using LSTM and 1D Convoltional Layer implemented in keras with TF backend on daily closing price of S&P 500 data f…☆142Updated 7 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
- A comprehensive approach for stock trading implemented using Neural Network and Reinforcement Learning separately.☆22Updated 6 years ago
- Deep Time Series Code (Stock Sentiment Prediction)☆82Updated 7 years ago
- Reproduce research from paper "Predicting the direction of stock market prices using random forest"☆115Updated 6 years ago
- Stock Market Prediction Using Unsupervised Features☆54Updated 6 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
- Attempt to replicate: A deep learning framework for financial time series using stacked autoencoders and long- short term memory☆91Updated 3 years ago
- Reinforcement Learning for Automated Trading☆88Updated 8 years ago
- Stock analysis/prediction model using machine learning☆188Updated 7 years ago
- 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
- Implementing a Generative Adversarial Network on the Stock Market☆121Updated 3 years ago
- Implementations of FX trading with RRL☆64Updated 6 years ago
- Stock Prediction with XGBoost: A Technical Indicators' approach☆28Updated 6 years ago
- implementation of WSAE-LSTM model as defined by Bao, Yue, Rao (2017)☆79Updated 2 years ago
- An intelligent recommender system for stock analyzing, predicting and trading☆141Updated 3 years ago
- ☆102Updated 6 years ago
- Conversion of the time series values to 2-D stock bar chart images and prediction using CNN (using Keras-Tensorflow)☆40Updated 2 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
- LSTM RNN for sentiment-based stock prediction☆64Updated 7 years ago
- Financial Time Series Price forecast using Keras for Tensorflow. RNN LSTM☆47Updated 8 years ago
- This project aims to predict VOLATILITY S&P 500 (^VIX) time series using LSTM.☆99Updated 4 years ago
- Predicting the stock market with sentiment analysis and LSTM techniques☆82Updated 4 years ago
- ☆62Updated 6 years ago
- Applying Deep Learning and NLP in Quantitative Trading☆105Updated 6 years ago
- Implemented Recurrent Neural Networks in Keras with candlestick stock price information to predict future price movement.☆54Updated 8 years ago
- —Machine Learning; stock prediction; Deep Learning; styling; LSTM(Long Short Term Memory)☆9Updated 7 years ago
- The implementation of LSTM in TensorFlow used for the stock prediction.☆59Updated 5 years ago