What we’ve built
A look at real work and real research. Client systems are anonymised and stripped of any performance figures (we sign NDAs as standard), and we’ve included in-house research projects that show how we think and test. What we never show is a return, because that’s not what we sell.
Building a multi-broker algorithmic trading platform
A client platform that runs subscribers’ strategies across several brokers at once. We build the core: a web portal, a single central database, and a native execution engine engineered for scale, clean order handling and reliability.
Read it →Client project · anonymisedEngineering an enterprise-scale personal-finance platform
The technology behind a large personal-finance app: consent-first data aggregation on India’s Account Aggregator framework, an AI analytics pipeline with real MLOps, and the security and compliance a regulated fintech at scale demands.
Read it →In-house R&DAutomating a 0DTE index-options strategy on Interactive Brokers
An in-house build automating a live, time-triggered 0DTE index-options strategy on IBKR: live data, low-latency strike selection, tight two-leg execution, and the order and risk handling that separates a demo from a live-ready system.
Read it →In-house R&DBacktesting a linear-regression support strategy across markets
An in-house engine and trade logic for a pattern strategy that finds dynamic support with linear regression: look-ahead-free detection, lines that persist and re-fit, deliberately pessimistic fills, and walk-forward validation. Built to run on US and Indian index futures and beyond.
Read it →Client project · anonymisedBacktesting & validating a pattern-recognition strategy on Interactive Brokers
A US/UAE investment firm’s own strategy, taken from research to a paper-traded IBKR system, with an honest backtest, hardened data, realistic costs, and a hard line against overfitting.
Read it →In-house R&DBuilding a multi-market equity backtesting & research platform
An internal research platform spanning Indian and US equities from one codebase: sector ranking, volume-based signals, per-sector risk caps, and AI-assisted iteration with a strict logic-integrity guard.
Read it →In-house researchWhy we test trend strategies on the index first
What our research taught us about testing trend-following properly: why the index is the cleanest first testbed, the bar worth measuring against, and handling gaps, outliers and sideways markets.
Read it →Prefer a live look? On a call we’ll demonstrate systems we’ve built running on the same broker or platform you’re planning to use, and point you to client references. Book a consultation →