Services
We build the systems that move and make sense of capital — from low-latency trading infrastructure to the analytics layer on top of it.
Talk to usAnandoham Software LLP designs, builds, and operates production systems for trading, quantitative research, and data. We work end-to-end — architecture, implementation, deployment, and live operation. We run our own systems against live markets, which is where most of what we know came from.
Automated multi-broker execution across NSE, NFO, and MCX. Order management, position tracking, restart-safe state, and isolated strategy runtimes.
Strategy development and backtesting on multi-year data. Historical data pipelines, market microstructure, and signal evaluation.
FastAPI services, async Python, and WebSocket streaming — built for low latency, high throughput, and clean operability.
GCP and AWS deployment, Kubernetes, Docker, CI/CD, and observability — on-premise to cloud, designed to run unattended.
ETL pipelines and warehousing on BigQuery and Postgres. Reliable, tested data flows from source systems to analysis-ready tables.
Power BI dashboards, KPI instrumentation, and reporting that turns raw operational and market data into decisions.
End-to-end delivery of a system you own, from design to live operation.
We work inside your team on backend, infrastructure, or quantitative work.
Architecture review, system design, and technical due diligence.
We start from the constraint, not the feature list. What has to be true for the system to be correct, and what happens when it isn’t.
Architecture, data flow, failure modes, and the operational surface — what you will need to see and control once it is running.
Implementation in short cycles against real data, with tests where correctness is load-bearing.
Automated deployment, health checks, and observability. A system that cannot be watched cannot be trusted.
Monitoring, incident response, and iteration. Most of a system’s life happens after it ships.
Six lines of work: algorithmic trading systems, quantitative research, production APIs and microservices, cloud infrastructure, data engineering, and business intelligence. Most engagements are a combination — an execution system needs the data pipeline feeding it and the reporting layer on top of it.
NSE, BSE, and MCX — index and stock options, futures, and commodities. We are broker-agnostic: we have built and run production integrations against XTS-based APIs, Zerodha Kite, Dhan, and Share India.
Three ways. Build — end-to-end delivery of a system you own. Embed — we work inside your team on backend, infrastructure, or quantitative work. Advise — architecture review, system design, and technical due diligence.
No. The data engineering and business intelligence work stands on its own — ETL pipelines, warehousing on BigQuery or PostgreSQL, and reporting in Power BI. Trading is where the correctness and latency constraints are hardest, not the only place the engineering applies.
When that is the engagement, yes. We run our own systems in production against live markets, and we would rather hand over something we have operated than something we have only tested.
Email us. Tell us what you are building, what it has to talk to, and what working means for it. If it is not something we should take on, we will say so.