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Software built by people who run a feed.

Most development shops meet market data for the first time on your project. We have been running a tick feed into ten trading platforms for years — so the problems that sink trading applications are ones we lost the argument with a long time ago, at our own expense rather than yours.

  • Proven on live trading products
  • You own the code and the IP
  • Under NDA from the first conversation
  • Part of the Accel group, Gandhinagar
Why us

Six ways a trading application quietly fails

None of these show up in a demo. Every one of them shows up three months later, on a volatile morning, in front of your customers. They are the reason trading projects overrun — and they are the specific things we have already been through.

01

The feed is treated like an API

A generalist team wires the market data feed the way they would wire a payments API: request, response, done. Then the market opens, ticks arrive faster than the UI can render, the event loop backs up, and prices lag by seconds that grow through the session.

What we do: the feed is treated as a stream with backpressure from the first commit — ingestion decoupled from rendering, coalescing on the way to the UI, and a bounded buffer that drops stale frames rather than queueing them. A price a second late is worse than no price.

02

Timestamps are whatever the server said

Exchange time, server time and device time all disagree, and nobody decides which one is authoritative. Candles form on the wrong boundary, a five-minute bar contains six minutes of trades, and the chart disagrees with the customer’s broker terminal.

What we do: one clock is authoritative and every component honours it. Bar boundaries are computed from exchange time, never from the device, and the difference is monitored rather than assumed.

03

Reconnection was never really tested

It works on a stable office connection. On a customer’s mobile data it drops, reconnects, and silently misses the window in between — leaving a hole nobody notices until a position is wrong. Or it reconnects too aggressively and gets rate-limited out entirely.

What we do: reconnection with backoff, a resume that backfills the gap rather than pretending it did not happen, and an explicit connection state the user can see. We test it by pulling the network, not by hoping.

04

Instruments are strings

Symbols get concatenated in the UI layer, expiries are parsed with regular expressions, and a contract roll or a strike-format change breaks watchlists across the whole user base at once. Corporate actions restate history and the app shows a cliff that looks like a real move.

What we do: instruments are typed objects with expiry, strike and segment as fields — never text to be pattern-matched — and corporate-action handling is decided before the first screen is drawn, not retrofitted after a split.

05

Load was tested at the wrong time

The system is benchmarked at four in the afternoon when the market is closed and everything is calm. The first genuinely volatile open arrives, message rates go up an order of magnitude, and the parts that were never the bottleneck become the bottleneck.

What we do: load is modelled on opening and closing bursts and on expiry days, not on an average. We know what those bursts look like because we carry them ourselves, every session.

06

Nobody owns the data when it breaks

The app vendor blames the data vendor, the data vendor blames the platform, and the customer — who just wants a working chart — sits between three companies who each have a plausible story. This is the single most common way trading projects turn sour.

What we do: when the feed is ours too, that argument cannot happen. One company holds the data and the application, so there is one number to ring and nobody to point at.

The short version

You are not buying developer hours. You are buying the six problems above already being solved, by a team that solved them for its own products before it solved them for anyone else’s.

Start a project request
Service 01

Mobile app development

Android and iOS applications for traders, investors and the businesses that serve them — where a chart has to stay live on a train, and a login has to survive a tunnel.

What we build

Trading and investing apps

Watchlists, charts, order tickets and portfolios, connected to your broker or ours.

Market-tracking apps

Prices, alerts, news and announcements for an audience that is watching rather than trading.

Advisory and research apps

Research delivery, model portfolios, subscriber management and in-app entitlements.

Companion apps

A mobile face for a desktop product you already run, sharing one backend.

What mobile makes harder, and how we handle it

  • The network is not a given. Streaming has to survive a train, a lift and a switch from Wi-Fi to mobile data mid-session — so the socket reconnects, the gap backfills, and the user is told what state they are in rather than left guessing.
  • The OS will suspend you. Background limits on both platforms will cut a live connection. State is restored on resume without a full reload, so returning to the app takes a moment, not a minute.
  • Battery is a feature. A tick-by-tick stream rendered naively will drain a phone in an hour. Updates are coalesced to the screen refresh, and streams for off-screen instruments are dropped rather than throttled.
  • Charts on a small screen are their own discipline. Touch targets, gesture conflicts between pan and scroll, and legibility at 360px are design decisions, not afterthoughts.
Service 02

Fintech app development

The heavier end: trading terminals, broking platforms, market data infrastructure and the systems behind them. This is the work the group was built to do, and the reason the data business exists alongside it.

What we build

Trading terminals

Desktop and web terminals with live charts, depth, order entry and position views.

Broking platforms

Client-facing front ends with the back office, reporting and reconciliation behind them.

Market data infrastructure

Ingestion, normalisation, storage and distribution — the layer we run for ourselves.

Analytics and algo platforms

Backtesting engines, strategy runners, scanners and risk dashboards.

Advisory and research systems

Signal delivery, subscriber entitlements, compliance-friendly audit trails.

Integrations

Broker APIs, payment gateways, KYC providers, CRMs and existing back-office systems.

The part nobody else can offer

Everything above needs market data underneath it. For most development firms that is a dependency they will procure, integrate and hope about. For us it is a product we already operate: the same feed, the same archive and the same APIs described elsewhere on this site.

That changes the project in three concrete ways. Estimates are honest, because the hardest integration is one we have done many times rather than one we are guessing at. Development is faster, because the data layer already exists and is documented. And the finger-pointing problem disappears — when something is wrong with a price, the same company owns the feed, the pipeline and the screen it is drawn on.

Pix ConnectOur own client, feeding ten trading platforms
Pix APIsSeven data services running in production
MirraChartsCommercial indicators on NinjaTrader 8
AccelTradeXWeb-based charting, built in-house

Those are our products, not case studies borrowed from someone else. The engineering that produced them is the engineering you would be hiring.

Service 03

Custom application development

The work that does not fit a category. Internal tools, data pipelines, integrations between systems that were never meant to speak, and the occasional rescue of something already half built.

What we build

Internal tools

Dashboards, admin panels and operations tooling for desks and teams.

Data pipelines

Collection, cleaning, reconciliation and scheduled delivery, with the failures visible.

Automation

Reports, reconciliations and end-of-day routines that currently occupy a person.

Bridges and integrations

Connecting a platform, a broker, a spreadsheet and a database into one workflow.

Rescues

Projects inherited half-finished, or from a team that has moved on.

Proofs of concept

Small builds that answer a question before a large budget is committed to it.

How these usually start

  • “Somebody does this by hand every evening.” Manual routines are the easiest wins — the requirements already exist, because a person is following them.
  • “These two systems don’t talk.” Usually a bridge, occasionally a rethink. We will tell you which before quoting for the wrong one.
  • “We built something and it stalled.” We read the code before promising anything. Sometimes the honest answer is to finish it; sometimes it is to replace one layer and keep the rest.
  • “We need to know if this is even possible.” A short paid discovery answers that for a fraction of the cost of finding out the expensive way.
How we work

Five stages, and what you get from each

Deliberately unremarkable. The value is not in the methodology — it is in what lands at the end of each stage being something you can hold rather than something you have to trust.

  1. 1
    Discovery

    We work out what you are actually building and what it has to survive. Ends with a written scope, an architecture sketch and a cost range you can take to a board.

    You get: a scope document you own, whether or not you continue with us
  2. 2
    Foundation

    Data model, streaming layer, authentication and deployment pipeline. Unglamorous and done first, because retrofitting any of it costs several times what building it costs.

    You get: a running skeleton on real infrastructure, with real data flowing
  3. 3
    Build

    Features in agreed slices, each demonstrable at the end of its cycle. You see working software throughout rather than a status report.

    You get: a demo you can click, every cycle
  4. 4
    Market testing

    The stage most projects skip. Behaviour under an opening burst, an expiry day, a dropped connection and a corporate action — on live market conditions, before your customers meet it.

    You get: known behaviour under the conditions that actually break things
  5. 5
    Handover

    Source, infrastructure, credentials and documentation written for a developer who was not in the room. Support afterwards is a choice, not a dependency we engineered in.

    You get: everything needed to continue without us
Engagement

Three ways to work together

Fixed scope

A defined build, a fixed price, an agreed date. Suits work where the requirements are genuinely known — and discovery is what makes them known.

  • Best for defined projects and rebuilds
  • Change requests priced openly, not absorbed silently

Dedicated team

Engineers assigned to you monthly, working to your priorities. Suits products that will keep evolving, where a fixed scope would be fiction by month two.

  • Best for ongoing products and platforms
  • You set the roadmap; we staff it

Build and maintain

We build it, then keep it running — monitoring, releases, exchange changes and the small fixes that accumulate around anything live.

  • Best where there is no in-house team to hand to
  • Handover documentation regardless, so you are never trapped

Costs depend on scope, and we would rather quote after a conversation than publish a number that turns out to be wrong in both directions. Discovery is chargeable and deductible from the build if you continue.

Questions

The ones we actually get asked

You do, on final payment, along with the infrastructure and the documentation. We keep no licence over what we build for you and no dependency that forces you to stay. Anything of ours reused in the build is named up front, with its terms.

No. We integrate whichever feed you have, including a competitor’s. Using ours means the integration is one we know intimately and can support end to end, which usually shows up in the estimate — but it is a choice, not a condition.

Yes, before any detailed discussion. We work with trading businesses whose edge is the product itself, so this is routine rather than a favour.

Yes. A two-week automation that removes a nightly manual routine is worth doing, and it is often how a longer relationship starts. If an off-the-shelf product already solves it, we will tell you that instead of quoting.

Often. We read the code first and give you an honest assessment — including when the honest answer is that finishing it costs more than replacing part of it. That assessment is chargeable and yours to keep either way.

It depends on scope, and a number quoted before discovery would be a guess dressed as a commitment. What we can promise is the shape: discovery in weeks, a running foundation early, and demonstrable software every cycle after that, so you are never waiting on faith.

Development request

Tell us what you need built

The form takes a couple of minutes and asks the questions we would ask on a first call anyway — so the first reply can be useful rather than a request for more information. Nothing is committed by sending it.

  • What you are building — a paragraph is enough to start with
  • New build or a rescue — picking up something half finished is normal work
  • Platforms — mobile, web, desktop, or you are not sure yet
  • Timeline and budget range — approximate is fine, and it stops us designing the wrong thing

Not sure it’s a project yet?

Plenty of good builds start as “can this even be done?” If you would rather think out loud than fill anything in, call us — we will tell you what is involved, and say so plainly if the answer is that you do not need us.