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: ARIMA, LSTM, Linear Regression. The Web App combines the predicted prices of the next seven days with the sentiment analysis of tweets to give recommendation whether the price is going to rise or fall

Predicting stock prices using a TensorFlow LSTM (long short-term memory) neural network for times series forecasting

An open-source alternative to Yahoo Finance's market data APIs with higher reliability.

This is a Model Context Protocol (MCP) server that provides comprehensive financial data from Yahoo Finance. It allows you to retrieve detailed information about stocks, including historical prices, company information, financial statements, options data, and market news.

Technical and sentiment analysis to predict the stock market with machine learning models based on historical time series data and news article sentiment collected using APIs and web scraping.

AlphaSuite is an open-source quantitative analysis platform that gives you the power to build, test, and deploy professional-grade trading strategies. It's designed for traders and analysts who want to move beyond simple backtests and develop a genuine, data-driven edge in the financial markets.

Stock Scanner & Screener: A yfinance-based Stock Scanner and Screener, focusing on Fundamental Properties of scanned stocks.

ChartScanAI is an advanced app for detecting patterns in stock and cryptocurrency charts using deep learning and YOLOv8. It automates chart pattern recognition, providing traders with a powerful tool for making informed decisions. Key features include real-time analysis, high accuracy for Buy/Sell signals, and support for various charts.

This project is about predicting stock prices with more accuracy using LSTM algorithm. For this project we have fetched real-time data from yfinance library.

Python Streamlit web app with an SQLite user login/authentication system. Application allows users to select multiple stocks, metrics, and visualizations. A Langchain pandas agent utilizing GPT-4 and customized stock-market/financial prompts is then initiated allowing the user to intelligently interact with their specified data.

Monitor the stock shares you own with Python and Prometheus !

Autonomous quantitative trading research platform that transforms stock lists into fully backtested strategies using AI agents, real market data, and mathematical formulations, all without requiring any coding.

bandl is an open-source library, provides APIs for equity stocks, derivatives, and cryptocurrencies. APIs for NSE EQ/FNO data, Nasdaq, Samco, 5Paisa, AngelBroking, Binance, and Coinbase are available.

🚀 Professional AI-powered stock market dashboard with real-time technical analysis, machine learning price predictions, and intelligent market insights. Built with Python, Streamlit, and scikit-learn.

tessa – simple, hassle-free access to price information of financial assets

Ergonomic Rust client for Yahoo Finance, supporting historical prices, real-time streaming, options, fundamentals, and more.

AI trading agent for stocks & crypto

Free REST API for NSE and BSE Indian stock market data. Real-time stock prices, company info, and market data via Yahoo Finance. Perfect for n8n, Zapier, trading bots, and automation. No API key required. Python Flask. MIT License.

Real-time stock API with Python, MCP server example, yfinance stock analysis dashboard

Application to finance

Financial CrewAI Agents (LangChain, YF Tools, Ai Crew, Groq Inference)

A quantitative trading strategy backtester with an interactive dashboard. Enables users to implement, test, and visualise trading strategies using historical market data, featuring customisable parameters and key performance metrics. Developed with Python and Polars.

Financial Dataset Generator

Interactive app to monitor market using Python

Scrape and analyse fundamental stock data of Indonesian listed companies. Fetches stock information from IDX, retrieves key statistics using StockBit and YFinance APIs, and stores the results in Google Sheets or local Excel file for easy analysis

Download and cache intraday finance market data using yfinance

On this repository you'll find tools used for Quantitative Analysis and some examples such: MonteCarlo Simulations, Linear Regression, General Data Visualiztions, Time-Series Analysis, etc.

Streamlit IV surface visualizer (Yahoo Finance + Black–Scholes). Explore IV vs expiry and strike/log-moneyness.

Indonesia Stock Exchange (IHSG) Deep Learning Trading System

Diversificador de carteira de investimentos utilizando otimização de Markowitz