louisowen6 / SENNLinks
Code implementation of "SENN: Stock Ensemble-based Neural Network for Stock Market Prediction using Historical Stock Data and Sentiment Analysis"
☆74Updated 4 years ago
Alternatives and similar repositories for SENN
Users that are interested in SENN are comparing it to the libraries listed below
Sorting:
- A Streamlit based application to predict future Stock Price and pipeline to let anyone train their own multiple Machine Learning models o…☆91Updated 10 months 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 …☆134Updated 2 years ago
- Jupyter Notebooks Collection for Learning Time Series Models☆71Updated 5 years ago
- ☆39Updated 3 years ago
- keywords - Kmeans Clustering, Tsne, PCA, Indian Stocks, Johansen test☆32Updated 6 years ago
- Udacity NANODEGREE Program(Partner with World Quant): Projects designed by industry experts, covering topics from asset management to tra…☆53Updated 3 years ago
- In this project, we implement and compare the performance of several machine learning and deep learning algorithms in predicting the US s…☆54Updated 4 years ago
- In this project, I have tried to predict the stock price of Microsoft using LSTM☆17Updated 6 years ago
- Using fastai and CNNs to predict stock prices☆25Updated 5 years ago
- Sentiment Analysis of news on stock prices☆126Updated 2 years ago
- Python Jupyter Notebooks for Financial Portfolio Optimization☆34Updated 6 years ago
- Math Techniques viz. ARIMA, Frequency Decomposition, Fourier Filtering, Linear Regression & Bi-directional LSTMs on Feature Engineered S…☆22Updated 5 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
- Project that uses deep learning to forecast stock returns and defines the optimal allocation for a maximum☆22Updated 4 years ago
- This repository is the result of our work for the course CSCI-SHU 360 Machine Learning☆62Updated 4 years ago
- Scrape, analyze & visualize stock market data for the S&P500 using Python. Build a basic trading strategy using machine learning to asses…☆87Updated 4 years ago
- Stock and Forex market prediction using ML and time-series modelling☆38Updated 6 years ago
- Visualising correlations between different ETFs using network analytics and Plotly☆34Updated 3 years ago
- This project explores stock trading modelling with the use recurrent neural network (RNN) with long-short term memory (LSTM) architecture…☆27Updated 6 years ago
- The repository contains the code for project for DS 5500 course at Northeastern.☆36Updated 5 years ago
- Machine Learning for Quantitative Finance☆24Updated 7 years ago
- Including packages that frequently used in quantitative finance field and how to implement classic financial model in Quantopian.☆47Updated 6 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
- 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
- I will be considering the google stocks data and will create a LSTM network for prediction.☆32Updated last year
- Implementing a Generative Adversarial Network on the Stock Market☆120Updated 3 years ago
- ☆73Updated 3 years ago
- ☆38Updated 4 years ago
- Reinforce Your Career: Machine Learning in Finance. Extend your expertise of algorithms and tools needed to predict financial markets.☆75Updated 3 years ago
- Image Classification for Trading Strategies - Project for Machine Learning Class☆38Updated 3 years ago