A desktop app for tracking the historical performance of investments in company stocks

📈📉 Performance de uma carteira de ativos financeiros, incluindo ações, ETFs e FIIs.

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.

Working with Alpaca's API, to help make develping strategies an easier task

Simple Stock Watchlist App using yFinance and Flask

Monitor the stock shares you own with Python and Prometheus !

ProfitOlio - Portfolio Management System

Explored the clustering approach of DBSCAN instead of K-means clustering for a improved performance by not ignoring the outliers and overcoming all the disadvantages on K-means clustering (Spherical cluster assumption and equal size clusters).

This program provides a comprehensive pipeline for stock price prediction, integrating CNN for feature extraction and LSTM for sequence modeling, demonstrating a hybrid approach to capture both spatial and temporal patterns in stock data.

This notebook compares the trend of stock prices vs. crypto currencies using visual comparison and corellation.

Generates stock fundamentals information using Python.

Stockastic is an ML-powered stock price prediction app built with Python and Streamlit. It utilizes machine learning models to forecast stock prices and help investors make data-driven decisions.

A Generic Trading/Strategy Enabler package which allows you to Source Data, manage them, and make strategies out of them on the fly.

Stock Price Predictor Machine Learning Project

This ML model predicts the price of the S&P500 Stock Market Index using RandomForestClassifier

Analyst Screener for S&P500 Stocks

Projeto de estudo sobre a ferramenta Streamlit e personalização da mesma utilizando CSS.

This project automates the process of fetching current exchange rates for various currencies and cryptocurrencies (USD, BTC, EUR, ETH), converting them to Brazilian Real (BRL), and sending the converted rates as a WhatsApp message using the Twilio API. Ideal for anyone who needs to stay updated with real-time exchange rates and receive notification

This repository contains implementations of regression models on the Starbucks stock market. The goal is to provide a comprehensive understanding of the performance of these models. Also, implement metrics without relying on external machine learning libraries. ☕️📈

A Discord bot that utilizes machine learning (linear regression) to predict and evaluate stock closing prices using historical data from Yahoo Finance.