This repository contains the Notebook which grabbed us 3rd Position in MineTheModel Competition held at Celesta'23 IIT Patna.

Problem Description: Stock Price Prediction: Forecasting financial markets with AI.

Link to Competition and Dataset: https://www.kaggle.com/competitions/mine-the-model-2023/overview

Dataset Description: For training your model(s), you will be provided with 50 files with each file consisting of 3000 rows and the following columns- Date- The historical date. Open- Opening asset price for the day. High- Highest asset price for the day. Low- Lowest asset price for the day. Close*- Closing asset price for the day. (to be predicted) Adj Close- Adjusted closing price (considering dividends). Volume- Volume traded for the day. Dividend- Dividend yield for the day. Stock Splits- Announced stock split (0 if none) *The closing price reflects the price after considering stock-splits.

Goal: Using the provided data create models(s) to predict the closing prices for the next 100 days.