Incorporating Hoeffding bounds for a single stock ticker

O PrevisAI é uma aplicação que utiliza tecnica avançada de deep-learning para prever os preços de fechamento de ações, ETFs, Fundos Imobiliários, Criptomoedas, etc.

My collection of open-source indicators for Tradingview and Ninjatrader

Statistical analysis of candlestick patterns applied to USA stocks

A real-time web app that predicts stock prices using an LSTM model, visualizes data with moving averages, and allows user input for stock symbols.

A pairs trading strategy based on divergence.

Predicting the stocks rise of Nvidia using Python & Yfinance API.

This project focuses on the design and implementation of a trading bot using OpenAI's GPT for sentiment analysis of financial news. The bot integrates sentiment analysis in trading strategies for S&P 500 stocks.

Repositório criado para armazenar os códigos desenvolvidos para estudos de análise financeira do mercado de ações.

Monitor the stock shares you own with Python and Prometheus !

This project focuses on extracting and visualizing stock data using Python libraries such as yfinance for historical stock prices and web scraping techniques to gather company revenue data. It provides a comprehensive analysis by plotting both stock prices and revenues over time for companies like Tesla and GameStop.

This Python project predicts whether the price of Bitcoin will increase or decrease on the next day, using historical price data and machine learning. Additionally, the project visualizes Bitcoin's price movements using candlestick charts along with moving averages for different timeframes.

Real time application for tracking large cap U.S equities with technical indicators

applies low-pass filtering on historical data of stocks and then plots its phase space

STAT_ITCERT Certificate Course in Essential IT Skills [2023]

ProfitOlio - Portfolio Management System

Performs a comprehensive analysis of a stock portfolio using historical data, Monte Carlo simulations, and various financial metrics. It aims to identify the optimal stock from a given portfolio based on risk-adjusted returns.

Exploratory data analisis of BYMA´s volume market.

Utilize Python libraries like yfinance and BeautifulSoup to extract historical financial data for popular stocks (e.g., Tesla, Amazon) and visualized trends using Plotly

This program is designed to provide a base for automated chart generation for traders and investors. It provides basic charting and statistics which can be easily extended.