Trading software development
risk first.
Trading software development is not the chart. The chart is the part everyone screenshots. The hard part is the order engine, exchange API, WebSocket reconciliation, backtester, and risk logic that keep a bad signal from turning into a very expensive lesson. We build custom trading software for founders, fintech teams, and trading products that need the engine to survive real market behavior.
Scoped estimate in 3 to 5 days. No obligation, NDA on request.
“They were absolutely phenomenal. The team put in a lot of work to break down what was required of the project and gave an excellent presentation on the process. I highly recommend them and will be working with them again in the future.”
Kayode Leonard
Founder, Project Wolf
Selected clients and shipped projects
Awesome Kyiv
Shelfit
Who you work with
We have built the trading engine
HighCraft is a senior team that pairs full-stack engineering with applied AI for healthcare, SaaS, and expert-led businesses. We have earned Top Rated and a 100 percent Job Success Score on Upwork, one five-star delivery at a time.
Project Wolf is our public trading proof: a 29-project .NET 8 platform, around 29,000 lines across 521 C# files, MongoDB, AWS Lambda, EventBridge, Step Functions, Microsoft.ML K-Means, Binance USD-M Futures over REST and 2 WebSocket streams, 8 order types, 9 order states, 3 allocation strategies, position-cooling lockouts, 5 integration-test suites, 65 commits, and 17 PRs. No invented trader counts. No fantasy latency. Just the engine and the risk math.
2 weeks
idea to working prototype
End to end
prototype to production
Senior
engineers, no handoffs
An exchange API is not a button labeled trade. The official Binance USD-M Futures API docs show the real shape: REST endpoints, WebSocket streams, rate limits, account state, and order events arriving while the market keeps moving. We design around that mess from the first sprint. A market order that fills is the easy case. The platform earns its keep when the feed drops, duplicates, or disagrees with the snapshot.
What we actually build
What trading software has to get right
The parts that decide whether the system can trade safely.
Order engine and exchange API
REST and WebSocket integrations for live execution, account state, order status, and market data. We built a Binance USD-M Futures engine with 8 order types and 9 order states. The happy path is one state. Production is the other eight showing up at the worst possible time.
Risk controls before execution
Position sizing, worst-case loss validation, stop logic, and position-cooling lockouts before an order leaves the system. Project Wolf handled multipliers up to 125x, which is a polite way of saying small mistakes arrive with a megaphone.
Backtesting that does not flatter you
Backtests that include funding fees, liquidation prices, and the ugly parts most demos skip. We built the backtester beside the live engine, so strategy research and execution share the same assumptions. A beautiful equity curve is not useful if fees quietly ate the lunch.
AI signal research and ranking
Signal clustering, scoring, allocation, and guardrails for model-driven strategies. Project Wolf used Microsoft.ML K-Means to rank historical distributions before allocation. The model suggests. The risk layer decides whether it gets to speak with money.
When you only need a trading bot
If you need a simple bot for personal use, buy one or script it. We will say so before quoting a build. Custom trading software earns its cost when you need a real product: exchange integrations, user accounts, backtesting, risk controls, monitoring, and a codebase another engineer can maintain without reading tea leaves.
100%
Job Success on Upwork
5.0
Average client rating
Top Rated
Agency on Upwork
11 yrs
Engineering leadership
HIPAA
Aligned delivery
Recognition
Awards and accreditations
Verified on Upwork and recognized by independent agency directories.
Built for the rules healthcare runs on. Practices documented, not implied.
Security & trustAI Prototype Sprint
Validate the workflow before you fund the platform.
A two-week sprint that turns a complex workflow into a working prototype, architecture direction, and a build estimate you can act on.
- Working prototype
- Workflow map
- Architecture recommendation
- AI opportunity and risk assessment
- Delivery roadmap
- Fixed or phased build estimate
Two weeks, one fixed scope. You own everything we build, whether or not you continue.
Week 1
Discover the workflow, build the spine
Week 2
AI where it pays back, then prototype + estimate
Engagement models
Four ways to engage, and a low-risk way to start
We fit the model to the project and the risk, not to our invoice. Most clients start with a two-week discovery sprint that turns the idea into a working prototype and a real estimate, then move into whichever model fits the build.
Time and materials
You pay for the hours you use, billed weekly or monthly. The right call when scope is still moving and you want to steer as you go.
Dedicated team
A senior team embedded with yours and billed monthly, scaling up or down as the roadmap changes. Built for ongoing work, not a one-off.
Fixed price
Agreed scope, agreed price, agreed date. Works when the requirements are already clear and you want certainty before you sign.
Fixed milestones
Phased delivery, paid one milestone at a time. A way to take on a larger build and de-risk it stage by stage.
What clients say
Clients trust us with messy, real-world software
From regulated healthcare workflows to payment-heavy platforms and internal business systems, the common thread is delivery that survives production.
Alex and his team built the core of our Healthcare SaaS. Their grasp of HIPAA and GDPR was crucial for our telemedicine features, and they added AI into the EMR so providers could make better data-driven calls. They know the Microsoft stack and held to WCAG 2.1 throughout. For a healthcare product that needs regulatory care and real engineering, HighCraft.io is the partner you want.
Oleg Shumar
Owner, GetTrusted.io
They were absolutely phenomenal. The team put in a lot of work to break down what was required of the project and gave an excellent presentation on the process. I highly recommend them and will be working with them again in the future.
Kayode Leonard
Founder, Project Wolf
Really enjoyed working with HighCraft.io. They are true professionals that know how to get things done. They were hardworking and skillful, exactly what we were looking for.
Maxim Grossman
Executive, Enigmex Technologies
HighCraft team did a great job creating a brand new site for my company, and I am loving it. It is exactly what I wanted and the team were true professionals and very nice to work with.
Alina Virstiuk
Founder, AwesomeKyiv
What we do
Three ways we turn complex workflows into working software
Start with a prototype, add AI where it creates leverage, or build the full production platform.
Working prototypes
A working prototype built around the real edge cases, so you can validate scope before funding a full build. The cheapest way to find the edge case nobody mentioned.
AI-enabled features
AI inside the product you already run: intake, search, summarization, classification, recommendations, or workflow assistance, with evaluation and guardrails. Built so a real user opens it twice.
Production platforms
Custom platforms built for real users: integrations, permissions, billing, audit trails, and maintenance. HIPAA-aware where it has to be.
Free vendor-risk check
Before you build, check the risk first.
Answer a few plain-English questions and get a vendor-risk read on ownership, proof of work, data exposure, and handover gaps before you fund the build.
- Takes about 3 minutes
- Built for vendor decisions
The page shows the first risk instantly. Email sends the full report.
Related work
What connects to a trading build
The layers around execution, data, APIs, and operations.
Selected work
Software that works, in production
Our clients get to focus on their business, instead of babysitting the stack that holds it together. Client cases below are anonymized where compliance demands; the rest ship under their own names.
How we build
How we build AI workflows that stay controllable
Agentic does not have to mean opaque. We put the controls where the risk is: permissions, approvals, and audit around every AI-assisted step.
Frontend
The product your users and staff actually work in.
API
Typed contracts and validation at the boundary.
Workflow engine
The deterministic spine: states, rules, and handoffs.
Agentic workflow layer
Inspects context, suggests next steps, and triggers tools, with human approval where it matters.
AI / LLM services
Models behind evaluation and fallback logic, not raw and unchecked output.
Integrations
EMR, Stripe, CRM, scheduling, and internal APIs.
Audit, monitoring, permissions
Every AI-assisted step logged, observable, and role-gated.
Controls, not black boxes
- Human approval for sensitive actions
- Tool calls scoped by permissions
- Audit logs for every AI-assisted step
- Evaluation and fallback logic, not raw model output
- Role-based access throughout
- Observability in production
- Integration with EMR, Stripe, CRM, scheduling, or internal APIs
FAQ
Hiring a trading software development team
What buyers ask before they start.
What is trading software development?
Trading software development is building the software that researches, tests, executes, monitors, or supports trades. It can include exchange APIs, market data, order engines, backtesting, dashboards, alerts, user accounts, and risk controls. The useful version is not just a chart; it is the system that handles orders correctly when the market behaves badly.
Can you build an automated trading platform?
Yes. We built Project Wolf, an AI-signal futures platform for Binance with a live-execution engine, Microsoft.ML K-Means signal clustering, backtesting, allocation logic, and integration tests. The platform was integration-tested against Binance USD-M Futures. We do not claim live trader numbers or trading returns because those were not part of the verified record.
Can you integrate with Binance, broker APIs, or other exchanges?
Yes. We built against Binance USD-M Futures over REST and 2 WebSocket streams, and the same architecture transfers to other exchanges and broker APIs. The exchange connector is not the whole product. The harder work is reconciling account state, order events, rate limits, retries, and the data model around them.
Do you build backtesting and paper trading?
Yes. A serious trading platform needs a backtester before it needs a prettier dashboard. We build backtests that model costs like funding fees, liquidation prices, and failed assumptions. Paper trading can sit between research and live execution so the system proves it can behave before money is involved.
How do you reduce risk in automated trading software?
Risk belongs in the structure, not in a reminder to be careful. We use worst-case loss checks, position sizing, multiplier caps, stop logic, cooling lockouts, and integration tests around the order and data layers. In Project Wolf, every allocation validated loss against account balance before execution.
What tech stack do you use for trading platforms?
We usually reach for .NET, C#, event-driven services, MongoDB or SQL, and exchange SDKs or direct APIs. Project Wolf used .NET 8, MongoDB, AWS Lambda, EventBridge, Step Functions, Microsoft.ML, Binance.Net, Polly, and xUnit. The stack should match the latency, data, and operational shape of the product, not a trend list.
How much does custom trading software development cost?
Send the product scope, target exchanges, order types, data sources, and risk requirements. We reply with a scoped estimate, usually within 3 to 5 business days. Cost tracks the number of integrations, backtesting depth, user roles, monitoring needs, and how close the system gets to live execution.
When are you not the right fit?
If you need a simple personal bot, buy one or script it. We are also the wrong call for anything that promises guaranteed returns. We build trading software, not investment claims. We earn our cost when you need a maintainable platform with exchange integrations, backtesting, risk controls, and production-grade engineering.
Start a project
Tell us about your project
Send the shape of the problem, even if the requirements are still blurry. We reply with a scoped estimate, usually within 3 to 5 business days. No obligation, NDA on request.
- A senior engineer reads every brief, not a sales rep.
- If an off-the-shelf tool fits better, we will tell you.
- NDA on request before you share anything sensitive.
Prefer email? Write to business@highcraft.io
Rather talk it through? Book a 30-minute estimate review
“Alex and his team built the core of our Healthcare SaaS. Their grasp of HIPAA and GDPR was crucial for our telemedicine features, and they added AI into the EMR so providers could make better data-driven calls. They know the Microsoft stack and held to WCAG 2.1 throughout. For a healthcare product that needs regulatory care and real engineering, HighCraft.io is the partner you want.”
Oleg Shumar
Owner, GetTrusted.io