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

Application to finance

Fundamental analysis using python

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.

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.

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

In progress - Webapp showcasing analytics for live Tech Stocks and latest incoming news for the stock along with conducting sentiment analysis for the news.

An easy YFinance wrapper for PHP

stock analysis and visualisation app using streamlit app and yfinance API

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

This is a full stack end to end project with the model trained in jupyter notebook, the backend file written in python, and for simplicity, the frontend created using streamlit.

Building an efficient Active Portfolio which yields a high Sharpe Ratio on 8 instruments using various trade strategies in order to get a high Sharpe Ratio.

Simple Stock Price App Using Streamlit and Yfinance

Predicting stock price using Random Forest Classifier model.

Прогнозирование курса алюминия с использованием модели ARIMAX

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

Tried my hands on yfinance library for analyzing stock prices and data. Here are some examples to demonstrate the working of this library.