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The Stock Portfolio Tracker is a powerful and user-friendly application designed to help users manage their stock investments efficiently. It leverages modern web technologies, including MongoDB, Redis, and Node.js, to provide a robust and scalable solution for tracking stock portfolios.
Stock Market Prediction Web App based on Machine Learning and Sentiment Analysis of Tweets (API keys included in code). The front end of the Web App is based on Flask and Wordpress. The App forecasts stock prices of the next seven days for any given stock under NASDAQ or NSE as input by the user. Predictions are made using three algorithms: ARIM…
This project focuses on the design and implementation of a trading bot using OpenAI's GPT for sentiment analysis of financial news. The bot integrates sentiment analysis in trading strategies for S&P 500 stocks.
A Java-based tool for testing stock trading strategies with features like historical data management, Moving Average Crossover strategy, and key performance metrics.
Simple ETL script with Apache Airflow , downloading financial data from alphavantage trought API , trasform into pandas dataframe and uplod to PostgreSQL