abr-98 / Stock_prediction_hybrid_model
A hybrid of ANN, RNN and Regressor models to predict stock prices
☆42Updated 4 years ago
Alternatives and similar repositories for Stock_prediction_hybrid_model
Users that are interested in Stock_prediction_hybrid_model are comparing it to the libraries listed below
Sorting:
- 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
- ☆38Updated 4 years ago
- A python based project to predict values based on RNN and Regression☆21Updated 4 years ago
- Deep q learning on determining buy/sell signal and placing orders☆49Updated 5 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
- ☆25Updated 2 years ago
- A Streamlit based application to predict future Stock Price and pipeline to let anyone train their own multiple Machine Learning models o…☆90Updated 9 months ago
- Mean-Variance Optimization using DL (pytorch)☆31Updated 3 years ago
- Market Risk Management with Time Series Prediction of Stock Market Trends using ARMA, ARIMA, GARCH regression models and RNN for time ser…☆21Updated 7 years ago
- Using fastai and CNNs to predict stock prices☆25Updated 5 years ago
- ☆66Updated 6 years ago
- XGBoost is known to be fast and achieve good prediction results as compared to the regular gradient boosting libraries. This project atte…☆32Updated 6 years ago
- Implementing a Generative Adversarial Network on the Stock Market☆120Updated 3 years ago
- Pair Trading Strategy using Machine Learning written in Python☆117Updated 3 years ago
- Intra day Stock Prediction 10 minutes into the future☆105Updated 5 years ago
- Jupyter Notebooks Collection for Learning Time Series Models☆71Updated 5 years ago
- Notebook based on the book "Advances in Financial Machine Learning" by Marcos Lopez de Prado☆125Updated 5 years ago
- In this project, I had backtested the cross-over trading strategy on Google Stock from Jan 2016 to June 2020. By using historical time-se…☆45Updated 4 years ago
- Notebook for <Advances in Financial Machine Learning> using Python 3.7☆43Updated 6 years ago
- Stock closing and opening forecasting using Deep neural network and LSTM(technical indicators included)☆20Updated 7 years ago
- Stock and Forex market prediction using ML and time-series modelling☆38Updated 6 years ago
- ☆34Updated 6 years ago
- Machine learning-driven financial trading strategy: momentum prediction, regime detection, and enhanced trading decisions.☆63Updated 2 years ago
- Hidden Markov Model (HMM) based stock forecasting☆100Updated 7 years ago
- ☆14Updated 4 years ago
- A machine learning approach to investment portfolio composition. The program analyzes the fundamentals of the listed companies on the S&P…☆74Updated 4 years ago
- ☆39Updated 3 years ago
- Automated FOREX trading using recurrent reinforcement learning☆33Updated 2 years ago
- This project explores stock trading modelling with the use recurrent neural network (RNN) with long-short term memory (LSTM) architecture…☆26Updated 6 years ago