#Yfinance
Showing 21 of 21 repositories tagged #yfinance, ranked by stars
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
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.
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.
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.
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.
🚀 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.
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.
Ergonomic Rust client for Yahoo Finance, supporting historical prices, real-time streaming, options, fundamentals, and more.
A terminal investment portfolio tracker with live prices, P&L, stock financials, candlestick charts, news feed and AI chat bot
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.
Indonesia Stock Exchange (IHSG) Deep Learning Trading System
Financial Dataset Generator
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.
A lightweight FastAPI microservice proxy for Yahoo Finance data via yfinance, enabling seamless access for any language or platform.
Get option chains from Yahoo Finance
A professional, modular forex trading bot with advanced risk management, multiple strategies, portfolio mode, and comprehensive backtesting capabilities.
An agent that helps you predict the next day's stock prices using LLMs
Python implementation of a Contrarian Trading Strategy to backtest market reversal approaches using historical stock data. Evaluate performance metrics such as profit, drawdown, win rate, and Sharpe ratio. Built with yfinance for data fetching and numpy and pandas for data analysis.
Advanced ML system for stock market prediction with real-time data and multiple algorithms