Data Science algorithms for Qlik implemented as a Python Server Side Extension (SSE).

Predictive algorithm for forecasting the mexican stock exchange. Machine Learning approach to forecast price and Indicator behaviours of MACD, Bollinger and SuperTrend strategy

Fun with lottery numbers. Statistics and predictions.

Sentiment Analysis for Stock Prediction

Predicting stocks using Facebook prophet. for some big tech companies (TSLA, GOOG ,MSFT, FB, AAPL, NVDA, PYPL, ADBE, NFLX )

The prediction of the Microsoft stock value is addressed pursuing two distinct strategies: 1 starting from solely the company's stock data, 2 leveraging also the overall sentiment towards the company extracted from Twitter and the records related to the ongoing pandemic.

Stock price time series analysis and forecasting is a method used to analyze and predict future movements in the stock market. Time series analysis involves examining the historical data of a stock to identify trends and patterns, which can then be used to make predictions about future price movements.

A set of exploratory and forecasting methods conducted on multiple datasets concerning global warming variables, utilizing Python

AI based script for predicting the particulate matter values of the future 🔮

Forecasting app that utilizes a customizable forecasting model that trains on historical stock data using the Meta Prophet library. Integrated multiple APIs, such as the Yahoo Finance API, to pull stock ticker data as well as relevant news articles. Frontend built with Streamlit and Plotly to provide an intuitive UI with interactive charts.

Web application built using Streamlit that allows users to visualize and analyze stock market data.