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.
A multi-broker trading platform for Indian markets
One platform running a client’s six strategies for 20 accounts across five Indian brokers, covering stocks, futures and multi-leg options. The strategy stays the same; only the broker connection changes.
Read it →Client project · anonymisedA central trading engine for TradingView and custom strategies
One engine that saves every TradingView signal, checks each account’s risk rules, sizes each order and trades many accounts at NinjaTrader, Interactive Brokers and Charles Schwab. Three of the client’s strategies run inside it.
Read it →Client project · anonymisedA copy-trading system on MasterTrust
One trade, entered by hand or sent from TradingView, sized and placed in many accounts at once, with bracket orders, partial fills and a trailing stop loss handled for each account.
Read it →Client project · anonymisedBuilding 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 →In-house R&DTurning chart patterns into tested rules
Our own research engine for six classic chart patterns, from head and shoulders to rising and falling wedges: exact rules instead of judging by eye, no look-ahead, risk checks before every order, and an Interactive Brokers connection.
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. Send us your brief →