JasonDoingGreat / Convolutional-Networks-for-Stock-PredictingLinks
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.
☆42Updated 4 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
Sorting:
- ☆34Updated 7 years ago
- Stock analysis/prediction model using machine learning☆191Updated 8 years ago
- Implementing a Generative Adversarial Network on the Stock Market☆121Updated 3 years ago
- Reinforcement Learning Script that trades Equities from Yahoo Finance☆78Updated 6 years ago
- Implementations of FX trading with RRL☆64Updated 7 years ago
- An intelligent recommender system for stock analyzing, predicting and trading☆141Updated 3 years ago
- CNN for stock market prediction using raw data & candlestick graph.☆168Updated 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
- Automate swing trading using deep reinforcement learning. The deep deterministic policy gradient-based neural network model trains to cho…☆70Updated 8 years ago
- Repository for Going Deeper with Convolutional Neural Network for Stock Market Prediction☆138Updated last year
- Applying Deep Learning and NLP in Quantitative Trading☆109Updated 6 years ago
- Reproduce research from paper "Predicting the direction of stock market prices using random forest"☆118Updated 7 years ago
- An environment to high-frequency trading agents under reinforcement learning☆288Updated 8 years ago
- Implemented Recurrent Neural Networks in Keras with candlestick stock price information to predict future price movement.☆56Updated 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
- 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…☆148Updated 8 years ago
- Reinforcement Learning for Automated Trading☆90Updated 9 years ago
- Autoencoder framework for portfolio selection (paper published by J. B. Heaton, N. G. Polson, J. H. Witte.)☆134Updated 5 years ago
- Trading environnement for RL agents, backtesting and training.☆166Updated 3 years ago
- Deep Time Series Code (Stock Sentiment Prediction)☆83Updated 7 years ago
- An (unofficial) implementation of the post "Trading Bitcoin with Reinforcement Learning".☆102Updated 6 years ago
- the book with script☆80Updated 8 years ago
- Stock Market Prediction Using Unsupervised Features☆53Updated 7 years ago
- A comprehensive approach for stock trading implemented using Neural Network and Reinforcement Learning separately.☆22Updated 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…☆61Updated 4 years ago
- Deep q learning on determining buy/sell signal and placing orders☆50Updated 6 years ago
- Deep Learning Stock Volatility with Google Domestic Trends: https://arxiv.org/pdf/1512.04916.pdf☆94Updated 3 years ago
- In this notebook we will explore a machine learning approach to find anomalies in stock options pricing.☆270Updated 6 years ago
- LSTM RNN for sentiment-based stock prediction☆66Updated 8 years ago
- This project aims to predict VOLATILITY S&P 500 (^VIX) time series using LSTM.☆101Updated 5 years ago