The stack behind a fast desk.
Order management, algo strategies, smart order routing and the back office that settles it all. Connected to 23+ Indian brokers and IBKR, with sub-10 ms execution, and owned by you.
Execution and risk on one stack.
Orders, strategies and smart routing, with pre-trade risk checks before anything leaves the desk.
Shown with demo data. Multi-leg baskets with pre-trade checks, hedge-first execution and freeze-quantity slicing across brokers. Scenario P&L across price moves and a payoff curve with breakevens, for every leg in the book.
Front office to back office, one stack.
Take one module or the whole chain. Each piece speaks the same order and position format, so nothing needs reconciling between them.
Order management (OMS)
Baskets, sequential orders, order splitting and a full audit trail, across every connected broker.
Complex algo strategies
Spreads, arbitrage, options structures and event-driven strategies, with strategy templates and kill switches.
Smart order routing
Signals routed to the right broker and account by rules for liquidity, margin and latency.
Desk ERP and back office
Settlements, margin interest, statutory charges and profit sharing computed from the trades themselves.
Market data
One streaming layer for quotes and five-level depth, with auto-reconnect and a common symbol format.
Backtesting and monitoring
Test strategies on historical data, then watch latency, traffic and live PnL in production.
Write once, trade on 23+ brokers.
One internal API over every broker. Add an account or switch brokers without touching your strategies.
Under 10 ms, all session.
For Statehill Capital, a prediction-market desk, we built real-time analysis and automated order placement that executes in under 10 ms. Every hop is timed, so slow spots show up before they cost a fill.
Statehill Capital · execution latency, illustrative sessionSettlements that close themselves.
We build the ERP a desk actually needs: trades in, charges and interest computed, profit shared, reports out. Sykes & Ray Equities runs its settlements on one, and its RMS reads from the same data.
- Margin interest and statutory chargesComputed per client and per trader, every day.
- Profit sharingYour agreements encoded once, applied to every settlement.
- Reports for partners and auditorsExports that match the books, not a spreadsheet copy of them.
From whiteboard to live orders.
Map
We sit with the desk, list strategies, brokers and reports, and agree what goes first.
1 weekBuild
First module live on paper trading, then on a small live allocation.
4 to 6 weeksAutomate
Routing rules, reconciliation and reports run without manual steps.
Operate
Monitoring, broker API updates and new strategies under a fixed AMC.
Running in real markets.
execution with real-time analysis and automated order placement for a prediction-market desk.
Statehill Capitalto a live RMS on the settlement ERP we built for an equities and arbitrage desk.
Sykes & Ray EquitiesAlgo-trading systems and market data tooling for a capital firm.
Subscriber app and CRM for a SEBI-registered research analyst.
Mint InvestingDesk questions.
Short answers to what heads of trading ask first.
Can you work with our existing strategies?
Yes. We port strategies you already run, or build new ones with you, and connect them to the OMS and RMS with the same order format across every broker.
How do you handle broker API changes?
The broker layer is isolated behind one internal API. When a broker changes something, we update that connector under the AMC and your strategies do not change.
Do you support US markets?
Yes, through IBKR, with US market data feeds and the same monitoring and back-office tooling as the Indian stack.
Who owns the system?
You do. Everything runs on servers in your name and you receive the source code, documentation and admin access.
Tell us what your desk trades.
Strategies, brokers, volumes and the reports you need. We will tell you what to build first and how fast it can go live.