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.
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
Front-end
Enabled us to develop Android and iOS applications with a single codebase while maintaining performance standards.
NativeBase
Front-end
NativeBase is responsive, customizable, and consistent with the design. It also makes application development easier with its library of predesigned components.
Redux
Front-end
Redux simplified our state management through its centralized architecture. It made it easy to carry out application-wide state changes.
TypeScript
Front-end
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
Back-end
The backend comprises the primary/main server and the microservice (Matching Engine).
Node.js
Back-end
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
Back-end
As a microservice, we developed a Matching Engine that communicates with the main server via Redis.
Redis
Back-end
Redis was the message broker facilitating communication between the primary server and microservices.
PostgreSQL
Back-end
We used this as our primary DB to store most data, such as the users, stock details, etc.
TimescaleDB
Back-end
We chose TimescaleDB as it facilitates rapid read and write speeds while efficiently storing current data.
Cassandra
Back-end
Cassandra’s high-performance and scalable database met our requirements for a DB to store the data of our matching engine.
Sockets
Back-end
Sockets was used for sending a continuous stream of data for the particular stocks to the client (users).
AWS
Back-end
AWS's RDS was used for Postgres and EC2 to host the server.
Docker
Back-end
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
100%
Themeable
2x
Faster Development
50%
Cost Reduction
Plug & Play
Features
Want to Customise Stock Trading App to Suit Your Business Needs?
We can help you do that!
What You Need to Know
The cost of building a fully customizable stock market app depends on several factors, such as the app's complexity, the features and functionalities required, and the development team's expertise.
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 project's specific requirements.
Yes, the Stock Market Application Clone can be customized to meet specific requirements, especially if the requirements are related to trading.
The Stock Market clone application can be modified to include custom features and functionalities that are specific to the requirements of a particular business or industry. Customizations can include adding new trading features, integration with specific APIs, user interface customization, and more. The extent of customization depends on the specific requirements of the business or industry, as well as the capabilities of the development team.
The application is a fully mobile-based application and is not available in web app format.
It is cross-platform and can be accessed on iOS and Android devices. It can be downloaded from the App Store or Google Play Store. This allows users to manage their investments on the go, anywhere, and anytime.
Depending on the complexity of the application, the process will take 2-5 months. But it can take much longer if you want something extensive like Zerodha.
The complexities can be charted out and extrapolated according to the tech stacks that can give the best solution. We will then select the most efficient methodology to use in the development process and start the development process.