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.
- Updated
Mar 18, 2025 - Jupyter Notebook
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.
tessa – simple, hassle-free access to price information of financial assets
Application to finance
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
Automated stock trading strategy using deep reinforcement learning and recurrent neural networks
Fundamental analysis using python
Using PyCaret to Predict Apple Stock Prices
Using flask, bokeh, and yfinance, the webapp show a chart with stock price history
Determine the preferred portfolio composition from constituents within the S&P 500 index.
Pulls stock data from Yahoo Finance with the yfinance API to be used in a Discounted Cash Flow
This repository contains code for a simple stock tracker web application built with Python and Streamlit. It uses the yfinance library to fetch stock data and visualizes it using line charts and tables. The application allows users to track the stock prices of different companies by entering the stock ticker symbol.
A comprehensive project leveraging big data techniques for stock market prediction and analysis. This repository includes data collection, processing, and visualization tools, alongside machine learning models for predicting stock prices and analyzing market trends. Ideal for financial analytics and investment strategies.
In progress - Webapp showcasing analytics for live Tech Stocks and latest incoming news for the stock along with conducting sentiment analysis for the news.
This notebook builds an artificial recurrent neural network called Long Short Term Memory (LSTM) to predict the adjusted closing price of the GOOGLE. Index by reiterating over the past 60 day stock price
here i'm using python code for importing data from stock market
This a Stock portfolio Tracker/analyzer , built for analyzing your portfolio , built with streamlit and yfinance libraries
This project combines Python and yfinance, leveraging LSTM in Keras for stock price predictions, hosted via a user-friendly platform with Streamlit for accurate, interactive stock market forecasting.
Foresight simplifies the complexities of algorithmic trading by leveraging AI to offer personalized trading strategies, explain complex algorithms in plain language, and continuously refine recommendations based on user interactions and market dynamics.
stock analysis and visualisation app using streamlit app and yfinance API
Add a description, image, and links to the yfinance-library topic page so that developers can more easily learn about it.
To associate your repository with the yfinance-library topic, visit your repo's landing page and select "manage topics."