Goal of this assignment is to -
- Make API / SDK calls to retrieve historical data of stocks/bonds/crypto
- Be able to perform Monte Carlo simulations
- Analyse the cumulative returns coming out of simulation
This program is a tool to help credit union members evaluate their financial health that will: 1. Assess monthly budget of member 2. Forecast a reasonably effective retirement plan based on their current holdings
Program uses Python 3.10.6 version and Jupyter Lab
Program uses 'Pandas' library to work with dataframes and analyse timeseries data. Program uses 'Alpaca trade api' library to retrieve data. Program also imports requests, json libraries to read data retrived by APIs.
Program runs in jupyter. Therefore its important to install Jupyter. If you already have installed anaconda, then you already have installed Jupyter and relevant libraries.
Jupyter lab Go to -> localhost:8888/lab/tree Choose a Notebook Use run function of Notebook
Main author is : Pravin Patil. His linkedin profile is Profile
MIT License