Applied random forests to classify sentiment of over 1M cryptocurrency-related messages on StockTwits posted between 28/11/2014 and 25/07/2020
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Updated
Jul 19, 2021 - Python
Applied random forests to classify sentiment of over 1M cryptocurrency-related messages on StockTwits posted between 28/11/2014 and 25/07/2020
Frontend Engineer Takehome Project built with ReactJS & Serverless Functions
Sentiment analysis tool for Stocktwits.
An unofficial, modern, very much work-in-progress client for StockTwits APIs.
Project to display StockTwits tweets from API call and search from user. (Under construction, does not work)
Determines the sentiment (bullish, bearish) of stocks on a watchlist using Twitter tweets
Source codes to scrape tweets from the Stocktwits API and store as JSON. Preprocessing steps for NLP classification.
Fast and multi threaded stock data scraper written in Java using HTMLUnit and minimal-json. Scrapes Finviz and Stocktwits for data, and stores the information in a csv file.
FinTwit-Bot is a Discord bot designed to track and analyze financial markets by pulling data from platforms like Twitter, Reddit, and Binance. It features customizable tools for sentiment analysis, market trends, and portfolio tracking to help traders stay informed and make data-driven decisions.
Code implementation of "SENN: Stock Ensemble-based Neural Network for Stock Market Prediction using Historical Stock Data and Sentiment Analysis"
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