GeekInvest

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

UI design of stock market app
Explore screen of stock market app
Dashboard of stock market app
Design of stock market app

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. 

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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

React Native

Enabled us to develop Android and iOS applications with a single codebase while maintaining performance standards.

NativeBase

NativeBase

NativeBase is responsive, customizable, and consistent with the design. It also makes application development easier with its library of predesigned components.

Redux

Redux

Redux simplified our state management through its centralized architecture. It made it easy to carry out application-wide state changes.

TypeScript

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

Nest.js

The backend comprises the primary/main server and the microservice (Matching Engine).

Node.js

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

Microservices

As a microservice, we developed a Matching Engine that communicates with the main server via Redis.

Redis

Redis

Redis was the message broker facilitating communication between the primary server and microservices.

PostgreSQL

PostgreSQL

We used this as our primary DB to store most data, such as the users, stock details, etc.

TimescaleDB

TimescaleDB

We chose TimescaleDB as it facilitates rapid read and write speeds while efficiently storing current data.

Cassandra

Cassandra

Cassandra’s high-performance and scalable database met our requirements for a DB to store the data of our matching engine.

Sockets

Sockets

Sockets was used for sending a continuous stream of data for the particular stocks to the client (users).

AWS

AWS

AWS's RDS was used for Postgres and EC2 to host the server.

Docker

Docker

We used Docker to containerize the main server and the matching engine.

Can Be Used to Build Apps Similar To…

Zerodha

Zerodha

Robinhood

Robinhood

Groww

Groww

Fidelity

Fidelity

Stockpile

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

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Want to Customise

Stock Trading App to Suit Your Business Needs?

We can help you do that!

FAQs

Find the answers to the most commonly asked questions about our services below

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.

Can the Stock market Application Clone be customized to meet specific requirements?

Is GeekInvest available on both web and mobile platforms?

How long Will It take to develop my own custom stock trading app?