Sprint
2 – 4 weeks
A clear, scoped problem. Land one shipped artefact fast.
- One shipped surface — a flow, a prototype, an automation
- A short post-mortem with what we'd do next and why
- Daily async updates, one weekly working session
Trading infrastructure for serious teams
How we ship
Book a 30-min markets callBacktesting model
Event-driven + realistic costs
Go-live safety
Paper/shadow before cutover
Ops posture
Runbooks + kill switches
Event-driven backtests with slippage, fees, partial fills — so the equity curve isn't a fantasy.
Paper and shadow mode against live feeds before a rupee is at risk.
Production execution with retries, idempotency, and audit trails.
Live PnL, exposure, and health checks with alerting that pages a human.
Daily and per-trade analytics — slippage, factor attribution, edge decay — built into the workflow.
Hypothesis-driven research notebooks that turn into production-ready code.
Code and risk audits for existing systems. Findings, severity, fix plan.
Uptime, latency, and venue-side health, end-to-end.
Custom indicators, alerts, and Pine Script tuned to your strategy.
On-call engineering for your trading stack so weekends stay weekends.
If it's electronic and it trades, we've probably built around it. Tell us.
Indian equities, US equities, FX, and crypto venues — production-grade across all four.

We don't ship strategies you don't understand. The system explains itself before it executes.
From Indian equities to crypto perps, the same engineering bar — order safety, observability, recovery.
We integrate against the venues you actually trade. SLAs, sandboxing, and failure-mode testing are non-negotiable.
How we think about markets
We build trading and analytics infrastructure for teams who treat markets as a long game. Edge dies; infrastructure compounds. We bias toward boring code, fast feedback, and ruthless risk hygiene.
Orders fire and reconcile correctly, even on bad days. Latency, retries, and idempotency are first-class.
Remove human biases and emotions from the equation, ensuring consistent and disciplined trading decisions.
Systems run across sessions and venues with monitoring that escalates only when a human is needed.
Ways to work with us
Pick the smallest one that proves the bet. We'll tell you on the first call which model actually fits.
2 – 4 weeks
A clear, scoped problem. Land one shipped artefact fast.
8 – 12 weeks
A 0-to-1 launch or a meaningful 1-to-10 jump. We embed alongside your team.
Ongoing
Long-running product or platform work. Compounding output, not vendor billable hours.
Not sure which fits? Most teams start with a Sprint and graduate.
Book a 30-min markets callFAQ
No. We build trading and analytics infrastructure for prop firms, funds, and serious traders. We don't run capital ourselves — that keeps incentives clean.
Most major Indian and global broker APIs, plus custom OMS/OEMS stacks. If you provide sandbox access and docs, we can integrate and validate quickly.
We run event-driven backtests with slippage, fees, partial fills, and latency assumptions, then stage through paper/live shadow modes before production cutover.
Yes. We start with a code + risk audit, identify load-bearing paths, then prioritize reliability, observability, and execution quality improvements.
No. We bill for engineering work and audits. We don't run capital. Incentives stay clean.
Still have a question? Ask Futurebits directly.