ZainUlMustafa / Stock-Prediction-using-News-Info-Sentiment
Application of LSTM on stock data with integration of news info. It turns out that finance and political news directly relate to the stock prices.
☆37Updated last year
Alternatives and similar repositories for Stock-Prediction-using-News-Info-Sentiment:
Users that are interested in Stock-Prediction-using-News-Info-Sentiment are comparing it to the libraries listed below
- A Streamlit based application to predict future Stock Price and pipeline to let anyone train their own multiple Machine Learning models o…☆88Updated 7 months 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
- trading strategy is a fixed plan to go long or short in markets, there are two common trading strategies: the momentum strategy and the …☆59Updated 5 years ago
- This project explores stock trading modelling with the use recurrent neural network (RNN) with long-short term memory (LSTM) architecture…☆26Updated 5 years ago
- Python Jupyter Notebooks for Financial Portfolio Optimization☆35Updated 6 years ago
- Udacity NANODEGREE Program(Partner with World Quant): Projects designed by industry experts, covering topics from asset management to tra…☆50Updated 3 years ago
- A network tries to predict movements in stock prices based on a picture of a time series stock price.☆38Updated 4 years ago
- Day-Trading algorithm using LSTM to predict intraday stock movement☆21Updated 6 years ago
- This repository is the result of our work for the course CSCI-SHU 360 Machine Learning☆59Updated 4 years ago
- Mean Variance (Markowitz) Portfolio Optimization and Beyond☆62Updated 11 months ago
- This repository represents work in progress for the Worldquant University Capstone Project titled: Asset Portfolio Management using Deep …☆79Updated 2 years ago
- Contains detailed and extensive notes on quantitative trading, leveraging NLP for finance, backtesting, alpha factor research, portfolio …☆43Updated 2 years ago
- Scrape, analyze & visualize stock market data for the S&P500 using Python. Build a basic trading strategy using machine learning to asses…☆86Updated 4 years ago
- A financial trading method using machine learning.☆60Updated 2 years ago
- Mean-Variance Optimization using DL (pytorch)☆31Updated 3 years ago
- Deep Q-Learning Applied to Algorithmic Trading☆27Updated 5 months ago
- An investment portfolio of stocks is created using Long Short-Term Memory (LSTM) stock price prediction and optimized weights. The perfor…☆34Updated last year
- This project is part of my internship at ULiege on Deep RL in stock market trading☆44Updated last year
- ☆194Updated 2 weeks ago
- FinML: A Practical Machine Learning Framework for Dynamic Stock Selection☆130Updated last year
- SheikhRabiul / A-Deep-Learning-Based-Illegal-Insider-Trading-Detection-and-Prediction-Technique-in-Stock-MarketIllegal insider trading of stocks is based on releasing non-public information (e.g., new product launch, quarterly financial report, acq…☆99Updated 6 years ago
- Quantitative analysis of fundamentals in quarterly reports by Machine Learning☆22Updated 5 years ago
- Technical and sentiment analysis to predict the stock market with machine learning models based on historical time series data and news a…☆180Updated last week
- Collection of notebooks and scripts related to financial engineering, quant-research and algo-trading.☆60Updated 8 months ago
- Code implementation of "SENN: Stock Ensemble-based Neural Network for Stock Market Prediction using Historical Stock Data and Sentiment A…☆72Updated 4 years ago
- ☆24Updated 2 years ago
- 😲🤑Method for Investors and Traders to make Buying and Selling Decisions. 😄Fundamental hare Market Analysis is about using Real data to…☆68Updated 4 years ago
- This tool is developed to scrape twitter data, process the data, and then create either an unsupervised network to identify interesting p…☆17Updated last year
- Stock markets are an essential component of the economy. Their prediction naturally arouses afascination in the academic and financial w…☆21Updated 3 years ago
- Using a dataset of hedge fund indices, I had computed various risk parameters, explicitly Value at risk (VaR), drawdown and deviation fro…☆21Updated 4 years ago