MiloMallo / StockLinks
Stock Market Prediction Using Unsupervised Features
☆358Updated 2 years ago
Alternatives and similar repositories for Stock
Users that are interested in Stock are comparing it to the libraries listed below
Sorting:
- Forecasting directional movements of stock prices for intraday trading using LSTM and random forest☆483Updated 4 years ago
- Implementing a Generative Adversarial Network on the Stock Market☆120Updated 3 years ago
- Use deep learning, genetic programming and other methods to predict stock and market movements☆429Updated 3 years ago
- Uses Deep Convolutional Neural Networks (CNNs) to model the stock market using technical analysis. Predicts the future trend of stock sel…☆616Updated 2 years ago
- Stanford Project: Artificial Intelligence is changing virtually every aspect of our lives. Today’s algorithms accomplish tasks that until…☆273Updated 2 years ago
- Stock analysis/prediction model using machine learning☆190Updated 7 years ago
- Programs for stock prediction and evaluation☆363Updated 7 months 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…☆280Updated 3 years ago
- Repository for Going Deeper with Convolutional Neural Network for Stock Market Prediction☆135Updated last year
- Using deep actor-critic model to learn best strategies in pair trading☆317Updated 8 years ago
- ☆200Updated last month
- A LSTM model using Risk Estimation loss function for stock trades in market☆322Updated 4 years ago
- This project is a loose implementation of paper "Algorithmic Financial Trading with Deep Convolutional Neural Networks: Time Series to Im…☆170Updated 5 years ago
- OHLC Average Prediction of Apple Inc. Using LSTM Recurrent Neural Network☆604Updated 2 years ago
- CNN for stock market prediction using raw data & candlestick graph.☆165Updated 5 years ago
- In this notebook we will explore a machine learning approach to find anomalies in stock options pricing.☆261Updated 6 years ago
- Predicting stock price using historical data of a company, using Neural networks (LSTM).☆154Updated 5 years ago
- Predicting stock prices using a TensorFlow LSTM (long short-term memory) neural network for times series forecasting☆614Updated 3 months ago
- LSTM RNN for sentiment-based stock prediction☆65Updated 7 years ago
- Implementation of Reinforcement Learning in Pair Trading☆9Updated 2 weeks ago
- This repository provides the code for a Reinforcement Learning trading agent with its trading environment that works with both simulated …☆217Updated last year
- High Frequency Trading Price Prediction using LSTM Recursive Neural Networks☆764Updated 9 years ago
- Stock Market Trend Analysis Using Hidden Markov Model and Long Short Term Memory☆305Updated 2 years ago
- Mostly experiments based on "Advances in financial machine learning" book☆557Updated 4 years ago
- Trading Environment(OpenAI Gym) + DDQN (Keras-RL)☆419Updated 2 years ago
- playing idealized trading games with deep reinforcement learning☆359Updated 4 years ago
- Introducing neural networks to predict stock prices☆760Updated 5 years ago
- ☆249Updated 2 years ago
- Deep LSTM Duel DQN Reinforcement Learning Forex EUR/USD Trader☆187Updated 2 years ago
- This project seeks to utilize Deep Learning models, Long-Short Term Memory (LSTM) Neural Network algorithm, to predict stock prices.☆314Updated 4 years ago