![]() It allowed me to push the boundaries of what I could achieve with Node.js while also providing a practical, real-world application for financial markets. I used Mocha and Chai for testing the functionalities, ensuring that everything worked as expected and that the system was robust and fault-tolerant.Ĭreating a stock exchange platform using raw Node.js was a challenging but fulfilling project. During this project, I not only deepened my understanding of Node.js but also gained a better understanding of financial markets and their inner workings.įinally, thorough testing was an essential part of the process. However, the modularity of Node.js, coupled with its powerful performance in handling data-intensive tasks, made it feasible. The Node.js server would issue a JWT on successful user login, which the client could then use to authenticate subsequent requests.īuilding the stock exchange in raw Node.js was a monumental task. User authentication and authorization were implemented using JSON Web Tokens (JWT). To counter this, I implemented transaction processing in a way that if any step failed, the entire transaction would be rolled back, ensuring data consistency. Financial transactions require high precision and accuracy, and a small mistake can lead to significant financial loss. One of the challenges I faced was ensuring atomic operations for the buying and selling of stocks. When an order was placed, the system would perform several checks, such as validating the user's balance and checking share availability, before pushing the transaction into a queue for processing. For real-time price updates, I leveraged WebSockets to push price changes to clients as they occurred.įor buy/sell operations, I created multiple APIs on server clusters using raw Node.js. Node.js shines in this area, thanks to its event-driven architecture. The heart of any stock exchange is its ability to provide real-time updates. With these in mind, I created a roadmap that outlined the development process for each feature. These included real-time price updates, buy/sell operations, and user authentication and authorization. Next, I had to decide on the core functionalities that the platform should support. Microservices offer benefits like independent deployment, fault isolation, and language-agnostic capabilities, making them a great fit for our stock exchange application. I decided to go with a microservices architecture pattern. Developing such an intricate system required careful consideration of the architectural design. The first step in the journey was planning. Node.js is a runtime environment for executing JavaScript code outside of a browser, and its proficiency in handling data-intensive, real-time applications makes it a perfect tool for developing a stock exchange platform. Here's my story about how I made a stock exchange in raw Node.js. However, the end result was both satisfying and instructive. This project was indeed a massive undertaking that required a deep understanding of both financial markets and back-end technologies. ![]() One of those challenges arose when I decided to create a stock exchange platform using raw Node.js. Msg.As a passionate programmer, I am always on the lookout for challenging projects that would expand my technical skill set and allow me to explore new frontiers in software development. Let todayDate = ("0" + today.getDate()).slice(-2) I’m defining the MQTT sensor in configuration.yaml as follows: sensor: ENTSO-E API ,(you’ll need a personal API key to use it.: Static Content).Node-Red integration for Home Assistant.I was interested to get the day ahead electricity prices in Finland into Home Assistant, but I found it quite difficult to find any ready made complete instructions how to get the future prices into a graph like this.
0 Comments
Leave a Reply. |
AuthorWrite something about yourself. No need to be fancy, just an overview. ArchivesCategories |