A microservices based, interactive platform that simulates a virtual stock market, built using Node.js, MongoDB, and express.js
License: ISC License
JavaScript 100.00%
wallstreet's Introduction
Wallstreet
Abstract
This project is micro-service based web application that simulates a stock market, complete with companies, listings, stock exhcange, news engine and market analytics.>
Users can interact with the market, by buying, selling and trading shares.
Much like the real world, user activity drives the market, deciding the direction of the stocks.
The application is written with a node.js backend to leverage JavaScript's asynchronous by default execution to handle a large number of concurrent users.
The entire application is divided into 4 distinct packages, which are further divided into distinct services. The services are all run as individual processes while in deployment.
Every service maintains its own database and is solely responsible for change in its own state.
However services within the same package have read-only access to each other's database
A high level over view of the architecture is given below
1. Gateway API
- All user interaction is handled by the gateway. Users can either login or register, after which they are authenticated by the gateway.
- All subsequent requests are also handled by the gateway which redirects the requests to relevant service
2. User Package
Profile Service
- This is the service that manages users profile, including personal details, available assets, etc.
- This service is also responsible for updating user profiles regularly
Trade Service
- It basically provides a trading terminal for the user to buy/sell stocks
- This service will also verify whether a user has enough cash to make a buy bid/enough stocks to make a sell bid
- It publishes all bids to a comon message queue
- This service also allows user to cancel bids
3. Market Package
Transaction Service
- This service executes different kinds of bid logic, such as limits, stop losses, options, etc.
- It maintains a database of all bids made by the user, comparing all bids and executing the best ones
- All executed bids, here on referred to as transactions, are published to a message queues
Pricing Service
- Thise service runs periodically in the backgroud to decide the price of all company stocks
- Prices are decided on the basis of executed bids, demand/supply of a particular stock and overall volume of trade
- All update prices are published to message queues
Rollback service
- Bids that are still sale after a given period of time are automatically cancelled
- Locked cash/Locked shares are also freed
4. Analytics Package
- Offer analytics on user level, company level, and arket level based on user activity of all users
5. Inter Service / Pub-Sub Communication
Communication between services is carried out throgh two means, either REST API endpoints or message queues using kafka, with a publisher subscriber model
- Queue has 4 topics, bids made, bids cancelled, bids executed, bids rolled back
- The first two are published by Trade service and subscribed by transactions service and analytics service
- The other two are published by transaction service and subscribed by pricing, analytics, and profile service
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