hanielcampos / Stock-Market-RNN-Genetic-Algorithm
A genetic algorithm that evolves generations of regression neural networks containing a combination of recurrent and dense layers.
☆8Updated 6 years ago
Alternatives and similar repositories for Stock-Market-RNN-Genetic-Algorithm:
Users that are interested in Stock-Market-RNN-Genetic-Algorithm are comparing it to the libraries listed below
- Stock Market predictions are one of the most difficult problems to solve, and during the looming days of recession it’s extremely difficu…☆15Updated 4 years ago
- Predicting a Stock Price Using a Genetic Algorithm☆16Updated 7 years ago
- Machine learning approach to high frequency trading, MLP & RNN used☆22Updated 8 years ago
- Deep Learning - Neural network (RNN, LSTM & GRU)☆66Updated 6 years ago
- # Bayesian-Regression-to-Predict-Bitcoin-Price-Variations Predicting the price variations of bitcoin, a virtual cryptographic currency. T…☆21Updated 7 years ago
- Machine learning trading method using meta-labeling. You can see the details in 'Advances in Financial Machine Learning' by Lopez de Prad…☆13Updated 3 years ago
- Stock Market Prediction Using Unsupervised Features☆53Updated 6 years ago
- Automated trading bot with Functional GUI using an integrated deep learning model to predict stock prices and flag buy and sell periods.☆12Updated 3 years ago
- Stock Market Prediction on High-Frequency Data Using soft computing based AI models☆20Updated 7 months ago
- ☆18Updated 6 years ago
- A comprehensive approach for stock trading implemented using Neural Network and Reinforcement Learning separately.☆22Updated 6 years ago
- Building a High Frequency Trading Engine with Neural Networks☆12Updated 7 years ago
- —Machine Learning; stock prediction; Deep Learning; styling; LSTM(Long Short Term Memory)☆9Updated 7 years ago
- Stock Prediction with XGBoost: A Technical Indicators' approach☆28Updated 6 years ago
- Automated FOREX trading using recurrent reinforcement learning☆33Updated 2 years ago
- This code illustrates the use of genetic programming to evolve financial trading strategies for a single equity stock. Individuals (strat…☆24Updated 6 years ago
- Deep q learning on determining buy/sell signal and placing orders☆48Updated 5 years ago
- This project is part of my internship at ULiege on Deep RL in stock market trading☆44Updated last year
- Deep Reinforcement Learning applied to trading☆15Updated 6 years ago
- Exercises in 'Advances in Financial Machine Learning' by Lopez de Prado☆3Updated 2 years ago
- An Empirical Study of Optimal Combination of Algorithms for Prediction-Based Portfolio Optimization Model using Machine Learning over Co…☆11Updated 2 years ago
- Model news data in short, medium and long term for stock price trend prediction☆21Updated 7 years ago
- ☆25Updated 2 years ago
- machine learning trading system using random decision tree to train the technical indicators☆10Updated 8 years ago
- This project deals with the use of machine learning to predict changes in stock values as well as we incorporating study on effect of dif…☆13Updated 7 years ago
- Image Classification for Trading Strategies - Project for Machine Learning Class☆38Updated 3 years ago
- Create structured financial data in the form of tick, volume, and dollar bars from unstructured tick data. From Marcos Lopez de Prado's A…☆11Updated 4 years ago
- This project analysed financial data and designed trading strategies by machine learning models.☆10Updated 6 years ago
- ☆19Updated 4 years ago
- ALGORITHM TRADING AND STOCK PREDICTION USING MACHINE LEARNING☆15Updated 6 years ago