OneClick US S&P Stock Prediction Using Monte Carlo and Brownian Motion in Python

Description
The OneClick series aims to help finance professionals with no or minimal programming background to expedite financial modelling and analysis tasks with less time and efforts.

The traditional way of establishing Monte Carlo simulation is the spreadsheet which requires repetition of the same tasks and bit labour-intensive and time-consuming. The python template aims to speed up the process with better precision.

The script models future stock movements based on two well-known stochastic processes.
The aim of the script to save tons of time compared to the traditional way of doing it in a spreadsheet.

User provides:
1) stock symbol/ticker of their choice on the exchange,
2) Date of data to be used to model future,
3) Number of days of the future interested, and
4) the number of different scenarios interested.
And then click “Run all Cell”. That’s it!

The result will be in the form of a graph and a short report with some statistics.
If you are not familiar with python and Azure notebook, please refer to the link provided in the template for how to create one.

NO PROGRAMMING KNOWLEDGE REQUIRED FOR THIS TEMPLATE.

DISCLAIMER:
The template model is an educated guess of the future, which is based on python libraries written by third parties and data received from Yahoo Finance and does not guarantee actual outcomes. The user should not consider it as a stand-alone decision-making tool.
The author will not accept any liabilities.