https://github.com/rahuljoshi44/GraphVega

JavaScript
Open Source Option Analytics Platform.

GraphVega

About The Project

GraphVega is an open sourced options analytics platform that analyses and projects the P/L of a multi-legged options position with variation of the stock price under changes in volatility and days till expiration, using a black-scholes simulation.

It is designed with a goal to provide a simple and intuitive interface to analyze options, while also providing developers with the flexibility to add their own custom features.

Getting Started

Note: You will need to have NodeJS installed on your machine to run this app. If you don't have it on your machine already, you can install it here for free.

To get GraphVega up and running on your local machine, follow these steps:

1. Clone the repository

   $ git clone  https://github.com/rahuljoshi44/GraphVega.git
   

2. Switch to the root directory of the project (main folder where all the files are stored) and install the dependencies. This process might take a couple minutes depending on your download speed, so please wait!

   $ npm install
   

3. Get a free API Key (for sandbox) from Tradier here. This project uses Tradier’s market data API for options and stock prices.

4. In the root directory create a .env file and enter your API key as follows:

   TRADIER_API_KEY=YOUR_API_KEY_HERE

   NOTE: You can also add an optional variable: TRADIER_API_BASE_URL=BASE_API_URL if you'd like to use the brokerage API endpoint.

5. Run the application in either of two ways: Locally or via Docker (explained below):

Locally

$ npm start

Note that the front end react app runs on http://localhost:3000 while the server runs on http://localhost:8000 so make sure you don’t have anything running on those ports.

Docker

Make sure to create the .env file from step 4 above before building the image, otherwise it won't be included.

Building:

$ docker build -t local/gv:latest -t local/gv:0.1.0 .

Running:

$ docker run -d --rm -p 3000:3000 --name graphvega local/gv

Stopping:

$ docker stop graphvega

Docker-Compose

Make sure to create the .env file from step 4 above before building the image, otherwise it won't be included.

Running:

$ docker-compose up

or 

$ docker-compose run

Stopping:

$ docker-compose down

Usage

1. After launching the app, type in the name of a company in the search bar and select the appropriate suggestion.
2. Select an expiration date for the options chain
3. After the option chain loads, add your options positions by clicking on the rows of the table.
4. Switch to the analysis tab.
5. Observe the P/L chart and adjust the implied volatility and days till expiry with the sliders as you like.

Code structure

Broadly, the project is divided into the front end and the back end.

• All frontend files are stored in the src directory.
• Backend files are stored in server. These are used primarily for making API calls for market data.

There are three main front end components

• src/components/main.jsx is the root component that uses optionChain.jsx and analysis.jsx
• src/components/chain/optionChain.jsx is the base component for the ‘Option Chain’ tab
  • All files related to the option chain tab is stored under src/components/chain
• src/components/analysis/analysis.jsx is the base component for the ‘Analysis’ tab
  • All files related to the analysis tab are stored under src/components/analysis

Contributing

Your contributions make the project better and more useful to everyone! The contributions you make will be greatly appreciated.

To do so:

1. Fork the project
2. Create a branch
3. Add your changes
4. Push to the branch
5. Open a Pull Request.

Built With

• React.js - Front end library
• Node.js - Runtime environment for JS
• Express.js - Web framework for NodeJS
• Material-UI - Front end component library
• react-bootstrap - Front end component library
• recharts - Charting library

License

GraphVega is distributed under the MIT license. See LICENSE.md for more information.

Contact

Rahul Joshi - rjoshi9@umd.edu

Feel free to contact me regarding any concerns about the app.

Acknowledgements

Thanks to Tradier for the market data used on the platform.