Collection of scripts and utilities for stock market analysis, strategies etc
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Updated
Jul 7, 2024 - Python
Collection of scripts and utilities for stock market analysis, strategies etc
A Streamlit app that predicts stock prices using historical data and displays relevant financial news and metrics. It leverages the Yahoo Finance API for historical stock data, Prophet for forecasting, Finnhub for financial metrics, and NewsAPI for news articles
Engage with a growing collection of Tableau dashboards covering financial trends, HR analytics, streaming service insights, real estate dynamics, and more. Meticulously crafted for valuable insights, this repository continues to expand with new and compelling visualizations.
Analyst Screener for S&P500 Stocks
A .NET API wrapper for Yahoo Finance that allows users to get top trending stocks, historical stock data, stock splits, dividends, capital gains, and much much more!
Stock Markets Analytics Zoomcamp 2024 - homework tasks
StockStream is a web application developed using Streamlit, designed to provide users with real-time stock price data, stock price prediction, and stock price analysis. This repository contains the source code and related files for the StockStream web app. Explore the code and unleash the potential of StockStream for your financial analysis needs.
StockStream is a web application developed using Streamlit, designed to provide users with real-time stock price data, stock price prediction, and stock price analysis. This repository contains the source code and related files for the StockStream web app. Explore the code and unleash the potential of StockStream for your financial analysis needs.
Heroku app that analyzes and ranks stocks in the DJIA based on bullish rating, news score, # articles last week, and % change in price
Analysis on Netflix shows and stock market data using MS Power BI
This project presents a comprehensive quantitative analysis of stock market data aimed at gaining deeper insights into stock market dynamics. Through rigorous statistical analysis, trend identification, and risk assessment, the project aims to inform investment strategies and decision-making processes.
In my stock market analysis project, I employed a powerful combination of Python libraries, including Pandas, Yfinance, and Plotly, to gather, analyze, and visualize financial data.
Investigate the dynamics of the stock market with this Tableau dashboard, analyzing key tech giants like Facebook, Google, Nvidia, Tesla, Apple, and Twitter. Gain insights into stock trends, performance metrics, and crucial indicators shaping the market landscape.
The project involves analyzing the MASI index, representing the Moroccan stock market, to predict its future performance. The main objective is to develop a robust predictive model while identifying key factors influencing returns.
Market Analysis and Prediction
StocksALot is a cutting edge PoC for Stock Market Analysis employing OpenAI's GPT LLMs for insight inference.
Data Manipulation project with Python to scrape Facebook and Tesla news headlines, in conjunction with sentiment analysis using NLTK and VADER to generate investment insight.
Stock Market Trend Prediction using sentiment analysis Leveraging machine learning and sentiment analysis, we accurately forecast stock market trends. Our project combines advanced algorithms like BERT and Naïve Bayes with sentiment analysis from Twitter and other sources. By analyzing sentiment and historical price data, we provide insights
Developed ML/DL based a web application for stock price prediction based on real-time data.
A SDK for Python applications for integrating the News Sentiment for financial apps for more than 7500+ sources worldwide.
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