abr-98 / Stock_prediction_hybrid_model
A hybrid of ANN, RNN and Regressor models to predict stock prices
☆42Updated 4 years ago
Related projects ⓘ
Alternatives and complementary repositories for Stock_prediction_hybrid_model
- Implementing a Generative Adversarial Network on the Stock Market☆120Updated 2 years ago
- Pair Trading Strategy using Machine Learning written in Python☆112Updated 2 years ago
- ☆69Updated 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…☆58Updated 3 years ago
- A financial trading method using machine learning.☆58Updated last year
- A Streamlit based application to predict future Stock Price and pipeline to let anyone train their own multiple Machine Learning models o…☆80Updated 3 months ago
- Research and Backtests I have been working on...enjoy☆69Updated 3 years ago
- ☆36Updated 3 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 …☆127Updated 2 years ago
- • Conducted a volatility study to develop pairs trading strategy by writing web crawlers that automated extracting 30 equity and ETF spot…☆44Updated 3 years ago
- Various python scripts to introduce mean reversion concepts.☆21Updated 6 years ago
- Pairs trading strategy that includes a research pipeline for identifying and selecting pairs. Tests all possible pairs in a universe for …☆34Updated 6 months ago
- Notebook based on the book "Advances in Financial Machine Learning" by Marcos Lopez de Prado☆123Updated 5 years ago
- Deep Learning - Neural network (RNN, LSTM & GRU)☆62Updated 6 years ago
- Generative Adversarial Network for Stock Market Price Prediction☆55Updated 4 years ago
- Stock Prediction with XGBoost: A Technical Indicators' approach☆27Updated 5 years ago
- Materials for blogs and conferences☆67Updated 3 years ago
- Developed a deep learning model that allows trading firms to analyze large patterns of stock market data and look for possible permutatio…☆55Updated 5 years ago
- Find trading pairs with Machine Learning☆41Updated 3 years ago
- Reinforcement Learning Script that trades Equities from Yahoo Finance☆77Updated 5 years ago
- Collection of notebooks and scripts related to financial engineering, quant-research and algo-trading.☆52Updated 3 months 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
- Stock and Forex market prediction using ML and time-series modelling☆35Updated 6 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
- Pair Trading - Reinforcement Learning - with Oanda Trading API☆64Updated 4 years ago
- This project used GARCH type models to estimate volatility and used delta hedging method to make a profit.☆60Updated 4 years ago
- ☆24Updated 6 years ago
- An investment portfolio of stocks is created using Long Short-Term Memory (LSTM) stock price prediction and optimized weights. The perfor…☆33Updated 10 months ago