MiloMallo / StockLinks
Stock Market Prediction Using Unsupervised Features
☆376Updated 3 years ago
Alternatives and similar repositories for Stock
Users that are interested in Stock are comparing it to the libraries listed below
Sorting:
- Uses Deep Convolutional Neural Networks (CNNs) to model the stock market using technical analysis. Predicts the future trend of stock sel…☆621Updated 2 years ago
- Use deep learning, genetic programming and other methods to predict stock and market movements☆435Updated 4 years ago
- OHLC Average Prediction of Apple Inc. Using LSTM Recurrent Neural Network☆615Updated 2 years ago
- Stock analysis/prediction model using machine learning☆190Updated 8 years ago
- Forecasting directional movements of stock prices for intraday trading using LSTM and random forest☆521Updated 4 years ago
- Implementing a Generative Adversarial Network on the Stock Market☆121Updated 3 years ago
- Stanford Project: Artificial Intelligence is changing virtually every aspect of our lives. Today’s algorithms accomplish tasks that until…☆285Updated 2 years ago
- A LSTM model using Risk Estimation loss function for stock trades in market☆323Updated 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…☆285Updated 4 years ago
- Predicting stock price using historical data of a company, using Neural networks (LSTM).☆154Updated 6 years ago
- Programs for stock prediction and evaluation☆369Updated this week
- Repository for Going Deeper with Convolutional Neural Network for Stock Market Prediction☆139Updated last year
- CNN for stock market prediction using raw data & candlestick graph.☆167Updated 6 years ago
- playing idealized trading games with deep reinforcement learning☆360Updated 4 years ago
- High Frequency Trading Price Prediction using LSTM Recursive Neural Networks☆803Updated 9 years ago
- This project is a loose implementation of paper "Algorithmic Financial Trading with Deep Convolutional Neural Networks: Time Series to Im…☆171Updated 5 years ago
- This project seeks to utilize Deep Learning models, Long-Short Term Memory (LSTM) Neural Network algorithm, to predict stock prices.☆315Updated 5 years ago
- Using deep actor-critic model to learn best strategies in pair trading☆320Updated 8 years ago
- ☆206Updated 3 weeks ago
- Deep LSTM Duel DQN Reinforcement Learning Forex EUR/USD Trader☆194Updated 3 years ago
- LSTM RNN for sentiment-based stock prediction☆66Updated 8 years ago
- This repository provides the code for a Reinforcement Learning trading agent with its trading environment that works with both simulated …☆219Updated 2 years ago
- Stock Market Trend Analysis Using Hidden Markov Model and Long Short Term Memory☆314Updated 3 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…☆42Updated 4 years ago
- Trading Environment(OpenAI Gym) + DDQN (Keras-RL)☆422Updated 3 years ago
- Introducing neural networks to predict stock prices☆768Updated 6 years ago
- Mostly experiments based on "Advances in financial machine learning" book☆564Updated 5 years ago
- A simple, yet elegant visualization of our stock trading RL agent environment.☆224Updated 4 years ago
- Predicting stock prices using a TensorFlow LSTM (long short-term memory) neural network for times series forecasting☆658Updated last month
- In this notebook we will explore a machine learning approach to find anomalies in stock options pricing.☆275Updated 6 years ago