A Stock Trend Prediction Web Application in Python. Here we will use Streamlit, an open-source Python library, that makes it easy to build custom web apps for Machine Learning and Data Science.

Step By Step Terminal Testing Output

Final Web Application Demo

Testing Retrieval Of Data

Testing Plotting Data

Testing Plotting Our Moving Average 100

Notice how 'NaN appears for the first 100 rows, this is because we used a 100 day MA

Testing Plotting Our Moving Average's

Red is our 100MA and Green is our 200MA

Splitting our Data 70/30, 70 for training 30 for testing

Summary of our Machine Learning Model

Training our ML model Epochs

Predicting our values and plotting them

Demo for our Web app, showcasing the user input data display along with the data and time chart

Demo for our Web app, showcasing the 100MA and 200MA

Demo for our Web app, showcasing the future predictions