saradindusengupta / stock_price_forecasting_hybrid_model
Stock closing and opening forecasting using Deep neural network and LSTM(technical indicators included)
☆20Updated 7 years ago
Related projects ⓘ
Alternatives and complementary repositories for stock_price_forecasting_hybrid_model
- keywords - Kmeans Clustering, Tsne, PCA, Indian Stocks, Johansen test☆30Updated 6 years ago
- A detailed study of four machine learning Techniques(Random-Forest, Linear Regression, Neural-Networks, Technical Indicators(Ex: RSI)) ha…☆23Updated 7 months ago
- A comprehensive approach for stock trading implemented using Neural Network and Reinforcement Learning separately.☆21Updated 6 years ago
- Deep q learning on determining buy/sell signal and placing orders☆47Updated 5 years ago
- Stock Prediction with XGBoost: A Technical Indicators' approach☆27Updated 5 years ago
- Python based Quant Finance Models, Tools and Algorithmic Decision Making☆44Updated 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…☆59Updated 3 years ago
- Having effective intraday forecast for the level of trading volume is of vital importance to algorithmic trading and portfolio management…☆42Updated 4 years ago
- Master's degree project: Development of a trading algorithm which uses supervised machine learning classification techniques to generate …☆25Updated 6 years ago
- A financial trading method using machine learning.☆58Updated last year
- Deep Trading using Convolutional Neural Network☆27Updated 7 years ago
- ☆70Updated 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
- Statistical arbitrage of cointegrating currencies with pair trading where the signal for the next day is predicted using LSTM☆50Updated 4 years ago
- Trend Prediction for High Frequency Trading☆38Updated last year
- Automated FOREX trading using recurrent reinforcement learning☆32Updated last year
- Exploratory analysis, visualization of stock market data along with predictions made on it using different techniques.☆38Updated last year
- ☆34Updated 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
- World Quant University Capstone Project - Swing Trading☆12Updated 2 years ago
- Implement a momentum trading strategy in Python and test to see if it has the potential to be profitable☆54Updated 5 years ago
- Select a supervised algorithm that can predict stock prices of historical data based on the predictors (statistical indicators). Accordin…☆42Updated last year
- Research and Backtests I have been working on...enjoy☆69Updated 3 years ago
- Deep Learning Stock Volatility with Google Domestic Trends: https://arxiv.org/pdf/1512.04916.pdf☆91Updated 2 years ago
- Machine learning trading method using meta-labeling. You can see the details in 'Advances in Financial Machine Learning' by Lopez de Prad…☆12Updated 3 years ago
- A Python based High Frequency Trading system that uses the Kite Connect API☆34Updated 7 years ago
- Short Term Trading Strategy developed using technical Indicators like RSI-MACD-ADX-Bollinger Bands and study the effect of Broad Market D…☆17Updated 7 years ago
- This repository contains an automated trading system using machine learning for stock return prediction, position sizing and generating e…☆14Updated 5 years ago