Stock-Price-Prediction

Actual google stock price of past week
Data of last 10 years (2010-2020) - Google
Predicted price of google stock price past week(31st dec - 5th jan)
Data compared with Moving average of 3 weeks - google
Data of last 10 years (2010-2020) - Telsa
Data compared with Moving average of 3 weeks - Tesla
Predicted google stock price of past week(31st dec - 5th jan)
Actual Tesla stock price of past week

Inspiration

The stock market is an excellent platform to earn and invest money. It is also a risky option that increases your greed and leads to drastic decisions. This is majorly due to the volatile nature of the market. There is no proper prediction model for stock prices.

What it does

You need to enter the ticker of the company/stock. For example, Google - 'GOOGL', Tesla - 'TSLA', Reliance Industries - 'RELIANCE'. Once the ticker is entered, a dataset is created automatically containing the High price, Low price, Open price, Close price, Volume and Adj Close. Opening price of the past 10 years is visualized in the form of a graph. My source of information was yahoo, but it's an individual choice. You can even upload a csv file containing data instead of using online resources.

Then with the available data a LSTM neural network is created and trained. Then provide the date for the model to predict the price.

Finally a plot with predicted values is displayed.

How I built it

I build it using python. I used machine learning architecture of LSTM while also making use of prominent Python Libraries such as Tensorflow, Keras, numpy, Pandas, etc.