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

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.

Using flask, bokeh, and yfinance, the webapp show a chart with stock price history

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.

Pulls stock data from Yahoo Finance with the yfinance API to be used in a Discounted Cash Flow

Determine the preferred portfolio composition from constituents within the S&P 500 index.

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.

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

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here i'm using python code for importing data from stock market

A machine learning project that predicts next-day stock price ranges using a Random Forest model on Yahoo Finance data. For educational use only.

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 a Stock portfolio Tracker/analyzer , built for analyzing your portfolio , built with streamlit and yfinance libraries

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An interactive stock price and volume dashboard built with Streamlit and Plotly, using yfinance to fetch real market data.

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

Analyzes and Visualizes the potential correlation between public sentiment on the r/Bitcoin subreddit and the historical price of Bitcoin.

📈 Stock Price Prediction Web App This is a Streamlit-based web application for Stock Price Prediction and Visualization. The app allows users to: 📅 Select a date range for analysis 🏢 Choose a stock/company from the sidebar 📊 Visualize historical stock prices with interactive plots 🔮 Forecast future stock prices using the ARIMA/ARIMAX model

Programa desarrollado en python para calcular la máxima pérdida potencial que una inversión o cartera podría sufrir en un período de tiempo determinado, con un nivel de confianza específico.

TradeWhisper: AI-powered trade idea analyzer with real-time stock info, charts, and news. Built using FastAPI + Cohere + yFinance, designed for fintech productivity and clarity.

Develop and implement a Python-based quantitative pricing Simulation for valuing Call and Put Options. The project applies numerical algorithms (Monte Carlo), to evaluate and compare the characteristics of different option styles (American, European, Asian) across major global equity indices ((DAX, S&P 500, and Nikkei 225)).

yfinance lib example

forecasting stock market prices