stock-data-analysis

There are 16 repositories under stock-data-analysis topic.

  • rohitmore1012/StockStream

    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.

    Language:Python17205

  • deeleeramone/BuildInPublic

    A repository to #BuildInPublic

    Language:Python16301

  • lionelsamrat10/SAndP500-Stock-Price-Explorer-Web-App

    Web scraped S&P 500 Data from Wikipedia using Pandas and performed Exploratory Data Analysis on the data. Then used Yahoo Finance to get the related stock data and displayed them in the form of charts.

    Language:Python8205

  • jojo142/Stress-Testing-Financial-Portfolios

    Stress Testing Financial Portfolios using S&P 500 Stock Data from Kaggle.

    Language:Jupyter Notebook2100

  • adeet1/rqa-ml-classifier

    Richmond Quantitative Advisors data science internship project

    Language:Python13

  • ArvinZJC/ShSzStockHelper-Windows

    (Archived) SH/SZ Stock Helper (神户座) is a Windows app that can mainly search strike prices and volumes for users.

    Language:C#128

  • chirantan-sym/TATAPOWER-Stock-Analysis-MSExcel

    An analysis of Tata Power's historical (July 2021- July 2022) stock data, that provides insights about Tata Power's stock value increase/ decrease on any given day.

    1200

  • deepanshimarsha/JPMorgan-virtual-internship

    1100

  • Naharul98/Stock-Market-Crash-Recovery-Analysis

    Which sector/industry within the FTSE100 index recover fastest after market crash? This project aims to analyze historical data to make the judgement.

    Language:Jupyter Notebook1100

  • SumitMahar/dash

    Interactive Stock Dashboard - (NSE Data)

    Language:Python1

  • kanugoyal/Streamlit_data_analysis

    A simple multipage Streamlit web app for classifying three datasets on the basis of three classifiers ('KNN', 'SVM', 'Random Forest') and on second page we have Stock Data Analysis which retrieve data like opening price, closing price, and other additional information and plotting graphs with the help of the information obtained using yfinance library

    Language:Python0130

  • kanugoyal/yFinance-notebook

    Tried my hands on yfinance library for analyzing stock prices and data. Here are some examples to demonstrate the working of this library.

    Language:Jupyter Notebook0100

  • kwangwoon-sanhak/FinanceHistoryDataReader

    FinanceHistoryDataReader - OHLCV + PER + PBR + ROE

    Language:Python0201

  • PRANAYBALAPNDE/Big-Data-Spark-Streaming

    Predicting the stock market is, without a doubt, one of the most challenging tasks in the finance industry. It is difficult to keep track of the market as many variables play an essential role in controlling it. Stock data analysis is used by investors and traders to make critical decisions related to the stocks. Investors and traders study and

    Language:Python00

  • shobhit-singh/StockData

    Shiny R App - Stock Data Analysis

    Language:R01

  • AdityapravaSen/Trade-Automator

    Analyze the market-- Automate Stock Trade -- Predict Future Prices

    Language:Python