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"

PyTwits is a REST-API Wrapper for StockTwits.

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.

A sentiment-driven trading algorithm using deep learning to analyze social media sentiment from StockTwits, Twitter, and Reddit for stock market predictions. Built with Python, TensorFlow/Keras, and MySQL.

Fetch Jerome Powell speeches feed from federalreserve.org RSS and post to StockTwits

Source codes to scrape tweets from the Stocktwits API and store as JSON. Preprocessing steps for NLP classification.

Determines the sentiment (bullish, bearish) of stocks on a watchlist using Twitter tweets

Project to display StockTwits tweets from API call and search from user. (Under construction, does not work)

Applied random forests to classify sentiment of over 1M cryptocurrency-related messages on StockTwits posted between 28/11/2014 and 25/07/2020

Sentiment analysis tool for Stocktwits.

Frontend Engineer Takehome Project built with ReactJS & Serverless Functions

One million StockTwits messages collected via API and stored in MongoDB, preprocessed with emoji/punctuation preservation, and classified using TF-IDF with Logistic Regression, SVM, Naïve Bayes, Random Forest, and MLP; extended with n-gram analysis, forecasting regressions, and event-study tests linking sentiment to short-term stock returns

An unofficial, modern, very much work-in-progress client for StockTwits APIs.