Trading Platform Development
On a trading screen, latency is a commercial problem rather than an engineering one. A chart that lags, a price that is stale by a second, or a screen that stalls during a volatile open all cost the user money directly.
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Constraints specific to trading
The problems that shape software here, and that generic engineering tends to discover late.
Data volume that spikes exactly when it matters
Market data throughput multiplies at the open, on news and during volatility — precisely the moments users are watching. Capacity has to be designed for the spike, not the average.
Stale data is worse than missing data
A price with no timestamp discipline is dangerous. Users need to know what they are looking at is current, and the interface must make staleness visible rather than silently showing an old value.
Market data licensing shapes architecture
Exchange agreements govern who may see which feed, whether it may be redistributed, and how it must be reported. Entitlement enforcement is a build requirement, not a commercial detail.
Reconstructing what a user saw
When a decision is queried, the question is what the platform displayed at that moment. That requires retaining the state presented, not just the underlying data.
Software we build for trading
Real-time market data pipelines
Ingestion, normalisation and fan-out of feed data with backpressure handling, so a burst degrades gracefully instead of collapsing the stream.
Charting and analysis interfaces
High-frequency-update interfaces that stay responsive under continuous data change, with rendering budgets treated as hard limits.
Portfolio and position analytics
Valuation, exposure and performance calculation across asset classes, with the reconciliation to keep positions consistent with custodians.
Research and subscriber platforms
Publication, entitlement and distribution systems for analysis products, including tiered access and timed release of time-sensitive material.
Standards that apply to software in this sector
What the software has to be built to satisfy. Which of these apply to you depends on your jurisdiction, your data and your customers.
[ 01 ]
US markets
- SEC rules
- FINRA rules
- Rule 17a-4 retention
[ 02 ]
EU / UK markets
- MiFID II
- Best execution reporting
[ 03 ]
Market data
- Exchange licensing
- Entitlement reporting
[ 04 ]
Personal data
- GDPR
- CCPA
[ 05 ]
Service assurance
- SOC 2
- ISO/IEC 27001
These are the standards we design and build to meet. Certification or attestation of your organisation is a separate exercise, carried out by a qualified assessor — we can support that process with documentation and evidence, but we do not certify it.
Tell us what the screen has to show
Discuss a trading projectHow we'd approach it
The service lines this sector most often needs.
Web Application Development
Scalable web applications on modern frameworks, engineered for first-load performance and sustained load.
Data Analytics & Engineering
Pipelines, warehousing and reporting built so the numbers reconcile and people act on them.
Cloud & DevOps
Migration, deployment automation and infrastructure on AWS, Azure and Google Cloud, built to be operated.
Custom Software Development
Bespoke systems shaped around your operations, integrated with the tools and data you already run on.
Projects in this space
Trading
OptionTeller
An options analytics platform querying 70+ million daily trades, built on Next.js and Rust.
Finance & Education
LaDucTrading
A migration and relaunch for a trading education platform combining macro analysis with live trading.
Financial Services, Investment Research and Market Analysis
Global Macro Investor
A subscription research platform delivering macroeconomic analysis to investors and financial professionals.
- 4.8
- Average subscriber satisfaction rating
- 15,000+
- Reports accessed by subscribers monthly
- 65%
- Engagement rate in live webinars and discussions
Trading: common questions
Something specific to your operation?
Send it over — sector questions are the ones we most like getting.
Ask us01
How low can latency realistically go?
It depends what you are building. Analysis and research platforms are usually bound by rendering and network round trips, where tens of milliseconds is the meaningful target. Execution systems competing on speed are a different discipline with different infrastructure economics — worth being clear which of the two you are building, because the answers diverge sharply.
02
Can you integrate our existing market data provider?
Yes. Provider integration is routine; the part that needs early attention is your licensing terms, since they determine which users may see which data and what has to be reported back to the exchange. That shapes the entitlement model, so it is better resolved before build than after.
03
How do you keep an interface responsive under continuous updates?
By decoupling data arrival from rendering. Updates are batched into animation frames rather than triggering a render each, and the visible viewport is prioritised over off-screen content. Without that separation, a fast feed will make a UI unusable regardless of how efficient the components are.
04
Do you handle historical data and backtesting?
Yes — time-series storage, corporate action adjustment and the query patterns backtesting requires. The design tension is usually between storage cost and resolution, which is worth deciding deliberately rather than defaulting to keeping everything.
Adjacent sectors
Tell us what the screen has to show
Describe the feeds, the users and the latency you need. We'll come back with an architecture opinion.
- Reply within one business day
- NDA on request