kimaruthagna/pyfinance

A journey through applying python and numpy for financial analysis and discounting models

pyFinance

All about the time value of money.

Tech Stack

1. streamlit for serving the app on the web
2. Docker for containerization
3. Financial Model Prep Financial data API

Obtaining API Key

To run this project, you require an API key from Financial model prep After obtaining the key, paste it into the API_KEY variable in the `.env file.

Spin up Docker image and run project

To build the docker image, navigate to your working directory and run the command

docker build -f Dockerfile -t app:my_tag

After a succesfful build, run the command

docker run -p 8501:8501 app:my_tag

Screens

Sample screens from running of the app.

Manual Data Entry for DCF

This interface if for manually entering numbers and then performing the projected cashflows and performing DCF Analysis

API Pulled Data

Dynamic selection tool to choose columns from dataset Viewing selected data in a table

Viewing selected data as an annotated line graph

Compare more than one entity using line graphs

DCF Modeling

Logic and Formulas

Dicsounted CashFlow modelling can be viewed as reversed compound interest. It is basically trying to determine the value of future cashflows of a business in current times using an appropriate disocunt rate This helps an investor to determine whether an investment is worth pursuing. Read more here for indepth definition and formulas.