Stock screener and backtesting platform for retail investors
Trendlyne operates a financial analytics platform built on React, Django, and PostgreSQL, serving retail investors and research analysts in India. The company is adopting Apache Spark and Flume while managing billions of rows of market data—a scaling challenge that maps directly to their roadmap: real-time alerts, live stock reports, and machine learning on financial datasets. Engineering dominates the hiring mix, reflecting both the data infrastructure burden and product velocity needed to compete on backtesting speed and screener comprehensiveness.
Trendlyne is a financial analytics platform enabling retail investors, research analysts, and portfolio advisors to make data-driven investment decisions. The product centers on three pillars: a stock screener offering 700+ metrics, a real-time backtesting engine, and portfolio analysis tools. The platform combines fundamental, technical, and shareholding data with real-time calculations. Founded in 2017 and based in Bangalore, the company serves the Indian retail investing market and is actively expanding product coverage and market reach.
Trendlyne's core stack includes React and React Native for front-end, Django and Python for backend services, PostgreSQL and MySQL for data storage, Redis for caching, and Git/GitHub for version control. The company is adopting Apache Spark and Flume to handle scale.
Current projects include stock screeners, online backtesting, real-time alerts, live stock reports, machine learning on financial data, AI product development, and go-to-market expansion for new products. Customer retention and outreach via email and WhatsApp are active priorities.
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