Customizable Stock Market Trading App
If you want to build a stock market trading app like Zerodha or Robinhood, we have something that can help you. GeekInvest is a customizable stock trading app and a matching engine that enables buying and selling of orders in a stock market, commodity market, or other financial exchanges. The matching engine was made by merging FIFO (First In, First Out) and Pro Rata algorithms.
Product Design
About the Fully Customizable Stock Trading App
In a world that is always online and on the move, online trading is a convenient way to access trading platforms and carry out various transactions. To build one from scratch, you probably have to spend months and invest a lot of money in development.
This stock market application with a complete backend solution helps you build your app in almost half the time and cost.
Main Modules
Matching Engine
The matching engine uses algorithms to set the priority of orders from different users based on time, quantity, price, etc., and then executes them. This is the core of the project, as it is responsible for streamlining trading actions taken by the app.
Scalable Back-end
We have used cutting-edge tech and expertise to develop a scalable and reliable back-end for this complex app. There are multiple services, like the Matching Engine, that are independently scalable, facilitating microlevel upgrades.
Codebase
App developed using the mono-repo architecture for the codebase. We have used Nest.js, a Node.js-based framework. PostgreSQL, Redis, Cassandra, and TimescaleDB were some tech stacks used.
Features
The stock market app has been developed for users to trade (buy or sell) stocks in real-time. The created orders are fulfilled with our matching engine microservice. The stock market app offers the following features:
Stock Trading
The app allows the trading of popular stocks through secure channels of payment and interaction.
Live Stock Price Reflection
App users can get live stock price reflection and up-to-date information regarding the market value of their investments.
Live Order Matching
The app supports live order matching, enabling efficient and seamless trade execution.
Stock Line and Candlestick Graph
Users get a clear visual representation of stock performance to make informed decisions based on real-time data analysis.
Stock Fundamentals and Information
The app provides access to detailed stock and investment information for better strategies when choosing an action.
Wishlisting Favorite Stocks
Users can select, choose, and wishlist their favorite stocks for later. Very few apps give this option.
Technologies Used
We used a combination of tech stacks to create a fast application with great UI and UX.
React Native
Enabled us to develop Android and iOS applications with a single codebase while maintaining performance standards.
NativeBase
NativeBase is responsive, customizable, and consistent with the design. It also makes application development easier with its library of predesigned components.
Redux
Redux simplified our state management through its centralized architecture. It made it easy to carry out application-wide state changes.
TypeScript
Enabled us to reduce errors. Its static type-checking support simplified the code debugging process and allowed us to catch errors before execution.
Nest.js
The backend comprises the primary/main server and the microservice (Matching Engine).
Node.js
Node.js played a crucial role in the development of the project due to Nest.js being a progressive framework built on top of it.
Microservices
As a microservice, we developed a Matching Engine that communicates with the main server via Redis.
Redis
Redis was the message broker facilitating communication between the primary server and microservices.
PostgreSQL
We used this as our primary DB to store most data, such as the users, stock details, etc.
TimescaleDB
We chose TimescaleDB as it facilitates rapid read and write speeds while efficiently storing current data.
Cassandra
Cassandra’s high-performance and scalable database met our requirements for a DB to store the data of our matching engine.
Sockets
Sockets was used for sending a continuous stream of data for the particular stocks to the client (users).
AWS
AWS's RDS was used for Postgres and EC2 to host the server.
Docker
We used Docker to containerize the main server and the matching engine.
Can Be Used to Build Apps Similar To…
Zerodha
Robinhood
Groww
Fidelity
Stockpile
Build Your Own Stock Trading App with GeekyAnts
You don’t have to build your Stock Trading App from scratch. We can help save you time and cost by creating your app on top of GeekInvest.
100% themeable
2x faster development
50% cost reduction
Plug-and-play features
Want to Customise
Stock Trading App to Suit Your Business Needs?
We can help you do that!
FAQs
How much does it cost to develop my custom stock market app?
The cost of building a fully customizable stock market app depends on several factors, such as the complexity of the app, the features and functionalities required, and the expertise of the development team.
However, as a rough estimate, the cost can range from 10,000 to 30,000 USD. This cost may vary based on the specific requirements and complexities of the project, as well as the level of customization needed. It is important to engage a skilled and experienced development team that can provide an accurate cost estimate based on the specific requirements of the project.