xrndai / DeepDayTrade
Stock Price Predictor
☆31Updated 5 years ago
Related projects ⓘ
Alternatives and complementary repositories for DeepDayTrade
- Conversion of the time series values to 2-D stock bar chart images and prediction using CNN (using Keras-Tensorflow)☆39Updated last year
- Stock Market Prediction Using Unsupervised Features☆53Updated 6 years ago
- Wasserstein GAN with gradient penalty (WGAN-GP) applied to financial time series.☆16Updated 6 years ago
- Implement the model of Halperin and Feldshteyn for DJIA and SP500☆10Updated 5 years ago
- Attempt to replicate: A deep learning framework for financial time series using stacked autoencoders and long- short term memory☆89Updated 2 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…☆59Updated 3 years ago
- Stock Price prediction using news data. The datasets used consists news and stock price data from 2008 to 2016. The polarity(Subjectivity…☆47Updated 6 years ago
- Image Classification for Trading Strategies - Project for Machine Learning Class☆38Updated 3 years ago
- Deep Reinforcement Learning applied to trading☆15Updated 5 years ago
- ☆64Updated 6 years ago
- Reinforcement Learning Script that trades Equities from Yahoo Finance☆77Updated 5 years ago
- Applying Reinforcement learning models for stock price predictions☆24Updated 6 years ago
- ☆70Updated 2 years ago
- Deep Learning - Neural network (RNN, LSTM & GRU)☆62Updated 6 years ago
- Stock Prediction with XGBoost: A Technical Indicators' approach☆27Updated 5 years ago
- Algorithmic Trading using RNN☆32Updated 8 years ago
- implementation of WSAE-LSTM model as defined by Bao, Yue, Rao (2017)☆78Updated last year
- WATTNet: Learning to Trade FX with Hierarchical Spatio-Temporal Representations of Highly Multivariate Time Series☆72Updated 4 years ago
- Machine learning trading method using meta-labeling. You can see the details in 'Advances in Financial Machine Learning' by Lopez de Prad…☆12Updated 3 years ago
- Exercises in 'Advances in Financial Machine Learning' by Lopez de Prado☆3Updated last year
- A Project of a Reinforcement Learning course. Simulated competing investment strategies through continuous refinement in a virtual stock …☆13Updated 5 years ago
- Market Risk Management with Time Series Prediction of Stock Market Trends using ARMA, ARIMA, GARCH regression models and RNN for time ser…☆20Updated 7 years ago
- Deep q learning on determining buy/sell signal and placing orders☆47Updated 5 years ago
- Unsupervised machine learning Principal Component Analysis (PCA) on the Dow Jones Industrial Average index and it's respective 30 stocks …☆68Updated 4 years ago
- A comprehensive approach for stock trading implemented using Neural Network and Reinforcement Learning separately.☆21Updated 6 years ago
- Implementation of Monte Carlo Optimization Selection from the paper "A Robust Estimator of the Efficient Frontier"☆55Updated last year
- Implementing a Generative Adversarial Network on the Stock Market☆120Updated 2 years ago
- This project explores stock trading modelling with the use recurrent neural network (RNN) with long-short term memory (LSTM) architecture…☆28Updated 5 years ago
- LSTM RNN for sentiment-based stock prediction☆64Updated 6 years ago
- Reproduce the result of the paper "Deep Learning with Long Short-Term Memory Networks for Financial Market Prediction"☆18Updated 4 years ago