saradindusengupta / stock_price_forecasting_hybrid_model
Stock closing and opening forecasting using Deep neural network and LSTM(technical indicators included)
☆20Updated 7 years ago
Alternatives and similar repositories for stock_price_forecasting_hybrid_model
Users that are interested in stock_price_forecasting_hybrid_model are comparing it to the libraries listed below
Sorting:
- Deep q learning on determining buy/sell signal and placing orders☆49Updated 5 years ago
- keywords - Kmeans Clustering, Tsne, PCA, Indian Stocks, Johansen test☆32Updated 6 years ago
- Stock Prediction with XGBoost: A Technical Indicators' approach☆28Updated 6 years ago
- Trend Prediction for High Frequency Trading☆40Updated 2 years ago
- Having effective intraday forecast for the level of trading volume is of vital importance to algorithmic trading and portfolio management…☆46Updated 4 years ago
- Stock and Forex market prediction using ML and time-series modelling☆38Updated 6 years ago
- A comprehensive approach for stock trading implemented using Neural Network and Reinforcement Learning separately.☆22Updated 6 years ago
- A detailed study of four machine learning Techniques(Random-Forest, Linear Regression, Neural-Networks, Technical Indicators(Ex: RSI)) ha…☆25Updated last year
- 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
- Python based Quant Finance Models, Tools and Algorithmic Decision Making☆46Updated 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
- Research and Backtests I have been working on...enjoy☆70Updated 4 years ago
- Algorithmic approach to analysing performance and the similarity of different stocks in S&P 500 via cluster analysis.☆9Updated 8 years ago
- • Conducted a volatility study to develop pairs trading strategy by writing web crawlers that automated extracting 30 equity and ETF spot…☆46Updated 4 years ago
- Using Machine Learning for live currency trading☆37Updated 6 years ago
- Deep Neural Network Trading collection of Tensorflow Jupyter notebooks☆62Updated last year
- Python Jupyter Notebooks for Financial Portfolio Optimization☆35Updated 6 years ago
- WQU capstone project - short term currency trading strategy utilizing machine learning☆11Updated 2 years ago
- 💸 A long-short equity quantitative trading strategy (sentiment-based)☆38Updated 7 years ago
- Compilation of technical analysis tools (EMA, Bollinger bands), fundamental analysis, machine learning models (LSTM, Random forest, ARIMA…☆13Updated 3 years ago
- Pair Trading - Reinforcement Learning - with Oanda Trading API☆66Updated 5 years ago
- Automated FOREX trading using recurrent reinforcement learning☆33Updated 2 years ago
- Some trading strategies implemented using Backtrader☆29Updated 6 years ago
- Deep Learning Stock Volatility with Google Domestic Trends: https://arxiv.org/pdf/1512.04916.pdf☆93Updated 3 years ago
- Machine learning-driven financial trading strategy: momentum prediction, regime detection, and enhanced trading decisions.☆63Updated 2 years ago
- Deep Trading using Convolutional Neural Network☆28Updated 7 years ago
- Quantitative Momentum - Investment Strategy inspired by Wesley Gray and Jack Vogel☆39Updated 6 years ago
- Find trading pairs with Machine Learning☆41Updated 3 years ago
- ☆19Updated last year
- Backtesting a simple Buy Low Sell High Strategy☆9Updated 3 years ago