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
- A detailed study of four machine learning Techniques(Random-Forest, Linear Regression, Neural-Networks, Technical Indicators(Ex: RSI)) ha…☆25Updated last year
- A comprehensive approach for stock trading implemented using Neural Network and Reinforcement Learning separately.☆22Updated 6 years ago
- Deep q learning on determining buy/sell signal and placing orders☆48Updated 5 years ago
- ☆34Updated 6 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
- keywords - Kmeans Clustering, Tsne, PCA, Indian Stocks, Johansen test☆32Updated 6 years ago
- Model news data in short, medium and long term for stock price trend prediction☆21Updated 7 years ago
- Stock Prediction with XGBoost: A Technical Indicators' approach☆28Updated 6 years ago
- Automate swing trading using deep reinforcement learning. The deep deterministic policy gradient-based neural network model trains to cho…☆69Updated 7 years ago
- We used Machine learning techniques to evaluate past data pertaining to the stock market and world affairs of the corresponding time peri…☆77Updated 7 years ago
- Python based Quant Finance Models, Tools and Algorithmic Decision Making☆46Updated 7 years ago
- A Python based High Frequency Trading system that uses the Kite Connect API☆35Updated 8 years ago
- Select a supervised algorithm that can predict stock prices of historical data based on the predictors (statistical indicators). Accordin…☆44Updated 2 years ago
- Stock Market Prediction Using Unsupervised Features☆53Updated 6 years ago
- Stock and Forex market prediction using ML and time-series modelling☆37Updated 6 years ago
- Python Jupyter Notebooks for Financial Portfolio Optimization☆35Updated 6 years ago
- Using Machine Learning for live currency trading☆37Updated 6 years ago
- Using Natural Language Processing we developed working prototype of Sentiment analyser of NEWS☆34Updated 7 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
- Trend Prediction for High Frequency Trading☆40Updated 2 years ago
- Deep Neural Network Trading collection of Tensorflow Jupyter notebooks☆62Updated last year
- Capital Asset Pricing Model implementation in python to analyze stock risk and return.☆26Updated 3 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
- This project explores stock trading modelling with the use recurrent neural network (RNN) with long-short term memory (LSTM) architecture…☆26Updated 6 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
- 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
- Hedging portfolios with reinforcement learning.☆35Updated 7 years ago
- Developed a deep learning model that allows trading firms to analyze large patterns of stock market data and look for possible permutatio…☆62Updated 5 years ago
- Compilation of technical analysis tools (EMA, Bollinger bands), fundamental analysis, machine learning models (LSTM, Random forest, ARIMA…☆13Updated 3 years ago