My first useful Python script (2017)

[NOT MAINTAINED] A dockerized crawler for gathering stocks informations from Yahoo Finance

An ultimate web scraper for Yahoo!Finance historical stock series...

The goal of this project is to provide the user a tool to visualize stock data of selected companies based on the Yahoo! Finance database and therefore analyze stocks to form an individual portfolio.

A program that reads in a specific number of stock symbols (determined by the user) and uses Yahoo Finance to record and display the company's name, price per share, and the numerical and percentage change in value during the last trading day.

RESTful API to provide market data, historical pricing fetch through yahoo or EIKON desktop and cache in db

Check stock prices in a terminal

Dividend Portfolio

leMaire is a command-line program developed for analyzing and visualizing stock market data. It utilizes the Python programming language and libraries such as /ranaroussi/yfinance /piccolomo/plotext /matplotlib/mplfinance to provide insights into stock market trends.

A Python dash project to analyze near dividends payments and related stock prices.

Main repository for reinforcement learning based trading project.

Financial Data Web Scraper

Website for stock sentiment visualization and financials/key data with the use of aws ec2 and dynamodb.

Attempt to predict the expected price for the following day using Long Short Term Memory method using Keras sequential API for deep learning applications. This program determines a target and date range, trains a model using a generational neural network, then outputs both a plot and the predicted output price for the following day.

This repository hosts a comprehensive Jupyter Notebook tutorial demonstrating how to use the yfinance library to access and analyze financial data from Yahoo Finance. Tailored for both beginners and experienced users, it covers a range of topics from basic data fetching to advanced stock analysis techniques

This is a simple script that will scrape recent daily exchange rate data from Yahoo Finance.

This project explores the application of machine learning models for predicting stock price movements using financial indicators and historical stock price data.

Node.js app for advising which stock to buy.