About: Implementation of a Dash app for exploring Commitment of Trades reports and searching for correlations between commodity prices.

This project is indented to present a small evaluation of different types of regression models for predicting stock prices for AAPL.

Bitcoin Market Intelligence Dataset (2015–2026) is a comprehensive, research-grade dataset designed for advanced time-series forecasting, quantitative analysis, and machine learning applications on Bitcoin. Unlike traditional price-only datasets, this dataset integrates multi-dimensional market signals, combining technical indicators,

Predicting stock prices PROJECT

Udacity Machine Learning NanoDegree Capstone Project

Predicting decrease or increase in stock's price based on tweets sentiment analysis.