There are 6 repositories under yfinance topic.
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
Predicting stock prices using a TensorFlow LSTM (long short-term memory) neural network for times series forecasting
Technical and sentiment analysis to predict the stock market with machine learning models based on historical time series data and news article sentiment collected using APIs and web scraping.
Monitor the stock shares you own with Python and Prometheus !
Python Streamlit web app with an SQLite user login/authentication system. Application allows users to select multiple stocks, metrics, and visualizations. A Langchain pandas agent utilizing GPT-4 and customized stock-market/financial prompts is then initiated allowing the user to intelligently interact with their specified data.
Financial Dataset Generator
Interactive app to monitor market using Python
Download and cache intraday finance market data using yfinance
On this repository you'll find tools used for Quantitative Analysis and some examples such: MonteCarlo Simulations, Linear Regression, General Data Visualiztions, Time-Series Analysis, etc.
Diversificador de carteira de investimentos utilizando otimização de Markowitz
This project is a Stock Trader trained to trade stocks from the S&P 500. It was made using a Deep Q-Learning model and libraries such as TensorFlow, Keras, and OpenAI Gym. It was trained on data from 2006-2016, cross validated on data from 2016-2018, and tested on data from 2018-2021
Stock search and analysis web app built using the Streamlit and yfinance libraries.
Application to finance
Scan every stock listed on the Nasdaq to find those with daily inside bars for trading,
Paper Trading with Django, Python, HTML, Bootstrap, and yfinance!
A comprehensive Flask web app for gathering, analyzing & visualizing stock info using AlphaVantage API, yfinance library & SQLite. Data is visualized with Pandas & Plotly. It also uses web scraping to provide trend information and has multiple routes for stock info, graph creation, & updating data.
A simple stock market data analysis using Yahoo Finance and Plotly.
A cross-platform desktop application for monitoring and managing your investments from different brokers, with real-time market data integration from Yahoo Finance. Developed with Qt.
Web scraped S&P 500 Data from Wikipedia using Pandas and performed Exploratory Data Analysis on the data. Then used Yahoo Finance to get the related stock data and displayed them in the form of charts.
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.
An all-in-one financial analytics and smart portfolio creator as a Discord bot!
Cross-asset class price data dashboard. Django site utilising Yahoo-Finance API with Chart.JS
Stock Investment Performance Dashboard
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.)
Full-stack stock simulator made with PERN stack (PostgreSQL, Express, React, Node) + data visualizations with D3.js, with site deployed on Heroku.
This repository is for a personal python library of mine for stock analysis on both an asset and portfolio level. It contains many standard visualization and computational functions for data analysis of stocks. It is built off of the yfinance and plotly libraries.
AI stock trading bot in Python.
A web app that uses machine learning to predict stock prices. Built with Dash and yfinance. Users can enter a company stock code and a date range to see the stock data plotted. The app also allows users to view predicted stock prices based on a machine learning algorithm trained on the historical data.
Application for portfolio optimization with post-modern portfolio theory (PMPT)
Study Project - Coletando dados de cotações de ativos da bolsa de valores brasileira utilizando a biblioteca da Yahoo Finance (yfinance) e fazendo a comparação dos ativos utilizando a biblioteca pandas.
Trabalho sobre análise e variância de commodities! Utilizando Python e Streamlit.
This is a small example of using Facebook's open-source algorithm for generating time-series models, with a dataset from yahoo finance.