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stock-market

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Examining a number of different forecasting techniques to predict future stock returns based on past returns and numerical news indicators to construct a portfolio of multiple stocks in order to diversify the risk. This is done by applying supervised learning methods for stock price forecasting by interpreting the seemingly chaotic market data.

  • Updated Jul 6, 2023
  • Jupyter Notebook

A VBA script that loops through 3 years of daily stocks (from 2014 to 2016). This script displays every ticker symbol along with the yearly change, percentage change and the total stock volume of each ticker. This script also displays the ticker with the greatest percentage increase, the greatest percentage decrease and the greatest total volume.

  • Updated Apr 17, 2021
  • VBScript

This repository contains my Social Networks Projects during University and the projects that I've implemented due to my interest in Social Networks. These projects include analysis of social networks like telegram and graph mining with NetworkX and Gephi and investigating the effect of social data on the stock market.

  • Updated Sep 28, 2023
  • Jupyter Notebook
Price-Movement-Prediction-using-News-Headlines

In this project, I'll try predicting the price movement direction of the Dow Jones Industrial Average (DJIA) using python, which can be applied to various other stocks and financial instruments like Futures, Options and Bonds.

  • Updated Sep 9, 2021
  • Jupyter Notebook

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