erikajane / Predicting_Stock_With_Twitter_Sentiment
You have been watching the Telsa stock and are deciding if you should buy some stock before close because you think it will jump up tomorrow, but you want to be more certain about your decision. This project aims to help make that decision. Vader sentiment analysis was implemented on tweets to compute a daily sentiment score. From historical s…
☆11Updated 5 years ago
Alternatives and similar repositories for Predicting_Stock_With_Twitter_Sentiment
Users that are interested in Predicting_Stock_With_Twitter_Sentiment are comparing it to the libraries listed below
Sorting:
- Python Swing Trading☆13Updated 6 years ago
- The coding has been done on Python 3.65 using Jupyter Notebook. This program fetches LIVE data from TWITTER using Tweepy. Then we clean o…☆76Updated 3 years ago
- ☆38Updated 4 years ago
- Sentiment analysis of Reddit comments to predict bitcoin price movement☆15Updated 6 years ago
- Code implementation of "SENN: Stock Ensemble-based Neural Network for Stock Market Prediction using Historical Stock Data and Sentiment A…☆73Updated 4 years ago
- Machine learning regression algorithm on cryptocurrency stock price for the next 30 days.☆67Updated 7 years ago
- Using various machine learning models to predict whether a company will go bankrupt☆28Updated 2 years ago
- Stock price prediction with LSTM adding sentiment analysis of some associated online news.☆16Updated 3 years ago
- Stock selection and portfolio performance based on ESG Scores☆14Updated 4 years ago
- The aim of the project was to extract information about various technology stocks mainly - Google, Apple, Microsoft and Amazon from the o…☆20Updated 7 years ago
- Predicting the price movement of stocks using past prices and sentiment analysis scores from financial News.☆16Updated 2 years ago
- Support Vector Machine Stock Market Prediction☆20Updated 6 years ago
- Predicting buy/sell of Reliance Stock using a Support Vector Machine on top of commonly used technical indicators.☆22Updated 3 years ago
- A python package to extract historical market data of cryptocurrencies and to calculate technical price indicators.☆18Updated last year
- applications for risk management through computational portfolio construction methods☆41Updated 4 years ago
- Visualising stock price predictions for several Machine Learning models using DASH, Python☆15Updated 2 years ago
- Support financial data science workflow, manage large structured and unstructured data sets, and apply financial econometrics and machine…☆42Updated last month
- This repository contains the code and datasets for creating the machine learning models in the research paper titled "Time-series forecas…☆53Updated 3 years ago
- This projects helps scraping and analysing the 10K and 10Q documents filed by publicly traded companies to the SEC.☆21Updated 4 years ago
- Twitter Sentiment Analysis for the top 10 cryptocurrencies on CoinMarketCap☆11Updated 6 years ago
- Stock Price Prediction using Random Forest☆8Updated 8 months ago
- Sentiment Analysis of news on stock prices☆125Updated last year
- 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
- Stock Price Prediction using Regressions with Fast Fourier Transform (FFT) - Machine Learning Nanodegree capstone project (2017)☆37Updated 5 years ago
- A detailed study of four machine learning Techniques(Random-Forest, Linear Regression, Neural-Networks, Technical Indicators(Ex: RSI)) ha…☆25Updated last year
- A Streamlit based application to predict future Stock Price and pipeline to let anyone train their own multiple Machine Learning models o…☆90Updated 9 months ago
- ☆15Updated 4 years ago
- ☆39Updated 3 years ago
- Compilation of technical analysis tools (EMA, Bollinger bands), fundamental analysis, machine learning models (LSTM, Random forest, ARIMA…☆13Updated 3 years ago
- Stocks and options picking. Tries to contain predictive analytics, recommendations, and calculators.☆39Updated last year