umeshpalai / AlgorithmicTrading-MachineLearningLinks
Deep Learning - Neural network (RNN, LSTM & GRU)
☆66Updated 6 years ago
Alternatives and similar repositories for AlgorithmicTrading-MachineLearning
Users that are interested in AlgorithmicTrading-MachineLearning are comparing it to the libraries listed below
Sorting:
- implementation of WSAE-LSTM model as defined by Bao, Yue, Rao (2017)☆78Updated 2 years ago
- Stock Market Prediction Using Unsupervised Features☆54Updated 6 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…☆60Updated 3 years ago
- Implementing a Generative Adversarial Network on the Stock Market☆120Updated 3 years ago
- Deep q learning on determining buy/sell signal and placing orders☆49Updated 6 years ago
- Deep Reinforcement Learning For Trading☆106Updated last year
- Stock Prediction with XGBoost: A Technical Indicators' approach☆29Updated 6 years ago
- kennedyCzar / STOCK-RETURN-PREDICTION-USING-KNN-SVM-GUASSIAN-PROCESS-ADABOOST-TREE-REGRESSION-AND-QDAForecast stock prices using machine learning approach. A time series analysis. Employ the Use of Predictive Modeling in Machine Learning …☆133Updated 2 years ago
- ☆73Updated 3 years ago
- Conversion of the time series values to 2-D stock bar chart images and prediction using CNN (using Keras-Tensorflow)☆41Updated 2 years ago
- Exercises in 'Advances in Financial Machine Learning' by Lopez de Prado☆3Updated 2 years ago
- Reinforcement Learning Script that trades Equities from Yahoo Finance☆77Updated 6 years ago
- Hidden Markov Model (HMM) based stock forecasting☆102Updated 7 years ago
- Machine learning-driven financial trading strategy: momentum prediction, regime detection, and enhanced trading decisions.☆65Updated 2 years ago
- Improve S&P 500 stock price prediction (random forest and gradient boosting trees) with time series similarity measurements: DTW, SAX, co…☆99Updated 3 years ago
- Notebook based on the book "Advances in Financial Machine Learning" by Marcos Lopez de Prado☆125Updated 5 years ago
- Transformer and MultiTransformer layers for stock volatility forecasting purposes☆69Updated 3 years ago
- Stock Market Prediction on High-Frequency Data Using soft computing based AI models☆20Updated 10 months ago
- This notebook contains an independently developed Keras/Tensorflow implementation of the CNN-LSTM model for Limit Order Book forecasting …☆34Updated 4 years ago
- LSTM stock prediction and backtesting☆14Updated 5 years ago
- ☆27Updated 2 years ago
- Stock Price prediction using news data. The datasets used consists news and stock price data from 2008 to 2016. The polarity(Subjectivity…☆48Updated 7 years ago
- Pair Trading - Reinforcement Learning - with Oanda Trading API☆66Updated 5 years ago
- Deep Learning – Artificial Neural Network Using TensorFlow In Python☆40Updated 4 years ago
- Reproduce the result of the paper "Deep Learning with Long Short-Term Memory Networks for Financial Market Prediction"☆19Updated 4 years ago
- Deep Trading using Convolutional Neural Network☆28Updated 7 years ago
- Cointegration Test in python☆28Updated 6 years ago
- In this project, we implement and compare the performance of several machine learning and deep learning algorithms in predicting the US s…☆55Updated 4 years ago
- This program trains an agent: StarTrader to trade like a human using a deep reinforcement learning algorithm: deep deterministic policy g…☆108Updated 5 years ago
- Reproduce research from paper "Predicting the direction of stock market prices using random forest"☆117Updated 7 years ago