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

Fundamental analysis using python

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

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

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 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.

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

PredictaStock is a powerful tool for stock market enthusiasts, enabling detailed analysis and future stock rate predictions. It utilizes advanced data visualization techniques and machine learning to provide actionable insights.

Simple Stock Price App Using Streamlit and Yfinance

stock analysis and visualisation app using streamlit app and yfinance API

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.

This project uses the yfinance library to fetch real-time stock data and the Prophet library to make predictions. The goal is to create a model that can accurately forecast stock prices based on historical data.

First tast, a data set with the global market's data

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

School Project

this is a financial website to find the momentum average of a stock ticker