Popular GitHub Repositories for Yfinance

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

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.

A statistical computations and ML orientated Python package to predict stock price.

这是一个模型上下文协议（MCP）服务器，它提供来自雅虎财经的全面金融数据。您可以通过它检索股票的详细信息，包括历史价格、公司信息、财务报表、期权数据和市场新闻。

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

The Yahoo Finance Agent is an application that combines OpenAI's LLMs, the Yahoo Finance Python library, and LangChain's tools to provide real-time financial data. It features stock information, financial statements, and an interactive chat interface, all while maintaining conversation context and integrating with Langsmith for debugging

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.

Automated stock trading strategy using deep reinforcement learning and recurrent neural networks

The Financial Analysis Crew is a Streamlit app that simplifies financial stock analysis. With the power of LLM-driven agents, users can seamlessly gather and analyze stock market data to generate comprehensive financial insights. Perfect for investors, analysts, and anyone interested in making data-driven financial decisions.

An AI Agent for stock data analysis, news rerieval, and prediction; powered by yfinance, GroqCloud, Llama and TheNewsAPI.

A machine learning project that uses insider trade data to develop a successful share-trading strategy.

Developed an enhanced stock price forecasting solution using YFinance with LSTM and RNN, for improved prediction accuracy.

Trading system that aims to buy stocks when they are low and sell stock when they have risen. The time horizon for trades is 2 - 45 days. The strategy has been successfully backtested in version 0.2. Next step: forward test strategy to ensure that it works in practice. Test RL to see if we can can improve results (currently only ~ 5 % of max.)

Analysis of market trend using Deep Learning is project that forecasts stock prices using historical data and ML models. Leveraging data collection, feature engineering, and model training. Primarily designed for the Indian stock market, it is adaptable for international markets, providing valuable insights for investors and analysts.

Financial Analysis Agent that can get accurate data for a selected company and perform fundamental and technical analysis.

使用Python的实时股票API，MCP服务器示例，以及yfinance股票分析面板

Using Machine Learning to predict future stock prices and creating a stock portfolio based on those predictions.

Advanced ML system for stock market prediction with real-time data and multiple algorithms

ML for finance and forecasting (LSTM, RL and BIMT)

Unlock the power of AI by building intelligent agents from scratch! This repository provides a step-by-step guide to creating custom agents that can reason, act, and solve real-world problems