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BuySellX

Project Overview

BuySellX is a full-stack algorithmic trading platform designed to automate market data processing, indicator analysis, and trade execution. The backend, built with NestJS and TypeScript, integrates with Zerodha KiteConnect APIs to receive real-time tick-level data. It calculates indicators such as SuperTrend, VWAP, MACD, ADX , etc.. for automated strategy decisions. The React and TypeScript frontend provides a real-time dashboard for monitoring market activity and trading signals. WebSocket communication ensures low-latency updates, while PostgreSQL and Redis provide reliable storage and fast session management.
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Objective

The objective of BuySellX was to develop a reliable and scalable platform capable of automating bot trading operations and reducing manual intervention. The system was designed to process live market data, calculate indicators accurately, and execute trades with minimal latency. Another goal was to ensure secure broker integration, stable session management, and consistent performance. The platform also aimed to provide a responsive frontend dashboard for real-time monitoring. Scalability, maintainability, and extensibility were key priorities to support future strategy expansion and advanced analytics.

Problem Statement

Manual trading is inefficient and prone to delays, emotional decisions, and missed opportunities, especially in fast-moving markets. Traders cannot continuously monitor tick-level data or analyze multiple indicators in real time. Existing systems lacked centralized infrastructure for automated data processing, indicator calculation, and trade execution. Frontend dashboards often struggled to handle high-frequency updates efficiently. A scalable, automated solution was required to improve trading accuracy, speed, and overall operational efficiency.

Solution

BuySellX Backend was developed as a fully automated algorithmic trading engine using NestJS and TypeScript. It integrates with Zerodha KiteConnect WebSocket APIs to receive real-time tick data and process it with minimal latency. The system continuously calculates indicators such as SuperTrend, VWAP, MACD, ADX, PCR, etc.. to generate accurate trading signals. Trades are executed automatically based on predefined strategies, eliminating manual intervention. PostgreSQL ensures secure data storage, while Redis manages caching and session handling. WebSocket integration enables real-time dashboard updates, delivering a scalable, reliable, and high-performance trading solution.

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