Automated options trading platform for Indian investors
marketfeed operates a GCP-native trading backend (Pub/Sub, Cloud Run, BigQuery, Redis) built to execute options strategies at scale. The stack reveals infrastructure-heavy engineering (Prometheus, Grafana, New Relic monitoring; Firestore + Firebase for state) suited to low-latency execution — yet active projects and pain points signal the company is still optimizing that backend (reducing latency, improving throughput, scaling from weekly to intraday cycles). Hiring is decelerating and concentrated in engineering and support, with a recent Growth Director hire, suggesting a pivot toward activation and retention over infrastructure expansion.
Notable leadership hires: Growth Director
marketfeed is a fintech platform headquartered in Bangalore that automates options trading strategies for affluent individual investors in India. Users connect their broker accounts and deploy expert-designed strategies; the platform handles order execution and trade management without requiring constant user monitoring. The company was founded in 2020 and operates with 11–50 employees across engineering, support, marketing, and operations. Core technical operations run on Google Cloud Platform, with a focus on real-time trade execution, event-driven architecture, and multi-layer monitoring.
marketfeed's core stack is Google Cloud Platform (App Engine, Cloud Run, Pub/Sub, BigQuery, Cloud SQL, Cloud Tasks), with Python and Go for services, Redis and MySQL for caching/storage, Firestore and Firebase for realtime data, and Prometheus, Grafana, and New Relic for observability.
Active projects include scaling intraday trading systems, reducing latency in real-time trading backends, automating GCP infrastructure governance, building a growth function, and improving user activation and retention metrics.
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