README

STOCK-PREDICTION-BOT

This repository contains a project focused on stock market prediction using LSTM (Long Short-Term Memory) networks. The goal of this project is to leverage the power of deep learning and sequential data analysis to make accurate predictions of stock price movements.

Contributers:

Chandra Suryadevara, Darshil Chaudhari, Caelan Neumann

Setup:

venv

Create venv in the stock_prediction_folder

Windows:
    python -m venv venv
    venv\Scripts\activate
Mac:
    python3 -m venv venv
    source venv/Scripts/activate

Requirements

pip install -r requirements.txt

Running

execute the main.py file.

Enter a stock into the text field.

1. Input Stock name into text field.

2. Click Predict to get stock advice

3. Get your prediction

4. Check Accuracy by pressing See accuracy. This outputs a matplotlib graph with the prediction and the stocks real data.

zoomed in

5 . Feel free to repeat as many times as you’d like with different stocks.