📈 Predict stock prices using LSTM networks with historical data, featuring preprocessing, model training, and insightful visualizations for deep learning success.

The official Python client library for the Massive.com REST and WebSocket API.

An async Python library to fetch data from https://tsetmc.com/

This Repository is for stock monitor made in python with automation function that refreshes every 10 seconds. Use it in your application as you like.

A desktop GUI app to track stock purchases, shorts, and calculate profits in real time using Yahoo Finance data.

Python Stock API

Intrinio Python SDK for Real-Time Stock Prices

Python Dash multi-page app that fetches stock data via yfinance, routes in app.py to single and comparison views (single_view.py, comparison_view.py), and updates price/volume charts, fundamentals, and news (with Google News RSS fallback) via callbacks.

Tehran Stock Market Crawler and Analyzer

Python client for interacting with the Tiingo Financial Data API (stock ticker and news data)

S&P 500 Stock Dashboard

Easily gather stock data of any company in any of your Python projects

Stock Analysis PC is a desktop application built with Python and Tkinter for stock prediction.

Analyze 5 years of NSE options data with implied volatility (IV), realized volatility (RV), earnings dates, and interest rate adjustments. Includes scripts to download, process, and visualize F&O data for research and analytics.

📈 Suite of a stock price forecaster and a sentiment analysis program built to provide in-depth visualizations, high accuracy, and low resource usage.

Stock Price Alert 是一个用于监控股票价格变化并通过电子邮件发送通知的自动化工具

Extract various stock prices and global indices using Web Scraping of Google Finance and NSE website

A simple financial dashboard using Python and the Brokeh library. The dashboard is designed to display the current stock prices and you can also compare two different stocks.

Scrapping web de Pccomponentes con aviso por discord y mail

Machine learning project using LSTM networks to predict stock prices based on historical data from multiple companies.