Solutions · Financial Technology
Trading and market systems, built by people who run one.
Algorithmic trading infrastructure, broker integrations, risk systems and real-time dashboards for Indian markets. We build on the experience of designing and operating AlphaSync.
01 · The problem
A trading system is a financial engineering problem that happens to need software.
Strategy logic, position sizing, risk containment, execution timing and the quirks of each broker's API all interact in ways a generic development team won't anticipate. Mistakes don't show up as bugs. They show up as losses.
We design trading systems with the risk engine between strategy and execution, one adapter per broker, and a validation path from backtest to paper trading to phased live deployment.
- Solution
- FinTech
- Core stack
- Python
- FastAPI
- React
- MySQL
- WebSockets
- Broker APIs
- MQL4 / MQL5
- Engagement
- Project delivery · Ongoing development · Technical advisory
- Location
- Engineering team in Chennai. We work with clients remotely across India and beyond.
02 · Capabilities
What we build.
Strategy & execution systems
Rule-based and custom strategy engines with order routing through official broker APIs.
Backtesting & validation
Backtests with realistic costs and out-of-sample testing, followed by paper trading on live prices.
Risk systems
Per-trade and portfolio limits, loss controls and kill switches, enforced in one place.
Broker integration
Adapters for broker APIs, including request-based access where streaming is not available.
Trading dashboards
Real-time positions, P&L and strategy analytics for traders and desks.
Multi-user platforms
Desk-level controls, per-trader allocation, consolidated risk and audit logs.
03 · Who it is for
Built for teams where the system carries weight.
- Individual systematic tradersWho need their own strategy logic and risk rules, running on their own broker account.
- Proprietary trading desksRunning several strategies and traders that need unified risk and reporting.
- Financial-services firmsBuilding client-facing trading or analytics products on proven infrastructure.
04 · How we work
The same five phases, on every engagement.
Architecture comes before code, and validation comes before launch. You can see what is being built at every stage. Our approach
Discover
Stakeholder interviews, workflow mapping and a technical review of existing systems, so we understand the real problem before proposing anything.
Architect
System architecture, data models and API contracts, documented and agreed before the full build starts.
Build
Iterative delivery in short cycles, with regular demonstrations, code review and continuous integration.
Validate
Functional, integration and failure-mode testing. For critical systems, a parallel run before cut-over.
Operate
Deployment, monitoring, documentation and handover, with ongoing support and improvement where needed.
05 · Related work
Related work and products.
06 · Technology
Chosen for the problem.
We work with a small core stack we know deeply, and we select technology to fit each platform's requirements rather than trends. See our technology.
- Python
- FastAPI
- React
- MySQL
- WebSockets
- Broker APIs
- MQL4 / MQL5
07 · FAQ
Questions, answered plainly.
Will a backtest tell me what a strategy will earn?
No backtest predicts future performance. A well-built one reduces the risk of deploying a strategy with basic flaws, which is why we follow it with paper trading and a phased live rollout.
Who owns the strategy?
You do. We build the infrastructure. Strategy logic and parameters remain your intellectual property, protected by confidentiality terms.
How do you handle regulation?
We design with applicable SEBI and broker requirements in mind, including audit trails, order-rate limits, risk checks and permissions. Requirements differ by use case, so we recommend confirming yours with your broker or a compliance professional.