scaleracademy / hackx-submissions

Submissions for HackX Hackathon by Scaler Academy
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Double Bull - Stock Market Analysis and Prediction using Monte Carlo machine learning in PYTHON - Finance #27

Open Prophet1999 opened 2 years ago

Prophet1999 commented 2 years ago

Double Bull - Stock Market Analysis and Prediction using Monte Carlo Machine learning in PYTHON - Finance

ℹ️ Project information Stock Market Analysis and Prediction is the project on technical analysis, visualization and prediction using data provided by Google Finance. By looking at data from the stock market, particularly some giant technology stocks and others. Used pandas to get stock information, visualize different aspects of it, and finally looked at a few ways of analyzing the risk of a stock, based on its previous performance history. Predicted future stock prices through a Monte Carlo method!

  1. Theme - Finance

  2. Project Name - Stock Market Analysis and Prediction using Monte Carlo Machine learning in PYTHON

  3. Short Project Description - Stock Market Predictor for real world Scenarios to get maximum Profits...

  4. Team Name - Double Bull

  5. Team Members - Himanshu Patel (Team Leader - @Prophet1999) and Akarsh Mathur (@Commander-AM)

  6. Demo Link - https://drive.google.com/file/d/15FZpTRKknMtZzv92ORZSjs851aXFX_yc/view?usp=sharing

  7. Presentation Link - https://docs.google.com/presentation/d/1nJRcc0BCggjDpsCvS1r3G27WjiDBAk33/edit?usp=sharing&ouid=111100391487131452541&rtpof=true&sd=true

  8. Repository Link - https://github.com/Prophet1999/Double-Bull_HackX_by_Scaler

🔥 Your Pitch This Project was one of the past Ideas of my teammate and now we have finally achieved it through our hardwork. we chose this project because i wanted to raise awareness about financial security and aid through investing at stock market effectively so that you can get maximum profits. This project was developed as a result of 2 months hardwork and it is one of the unique idea since most people don't even know about stock markets and some only considers it as most risky amongst all the markets. But through this project we have proved that even stock markets can be predicted. I hope that this will help all clients in all way and we will continue to contribute towards society's betterment. Regards Himanshu Patel (Team Leader - @Prophet1999) Akarsh Mathur (@Commander-AM)

🔦 Any other specific thing you want to highlight? This Project is more of a Sample/Prototype and is not much optimized in comparison to the projects out on the internet. The purpose of this project is to comparatively analyze the effectiveness of prediction algorithms on stock market data and get general insight on this data through visualization to predict future stock behavior and value at risk for each stock. The project also encompasses the concept of Data Mining and Statistics. This project makes heavy use of NumPy, Pandas, and Data Visualization Libraries.

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